Discover how large enterprises can save on time and costs using Nakisa Decision Intelligence’s instant, prompt-based workforce data quality checks and rule-based validations to ensure organizational health.
Explore videos, use cases, guides, and best practices to unlock the full value of Nakisa Decision Intelligence (NDI)
Introducing Nakisa Decision Intelligence (NDI)
NDI is an enterprise-grade, agentic AI platform that transforms the most complex, scattered data into real-time strategic decisions that can be executed instantly, all through simple text or voice commands.
Available as a standalone solution or embedded across Nakisa products, NDI unifies, interprets, and analyzes vast internal and external datasets across any system in real time, running forecasts, simulations, and visualizations.
It goes beyond analysis by not just explaining what happened, but uncovering root causes and delivering clear, prioritized next actions. You can also execute decisions instantly using Nakisa AI agents and apply them directly across your ERP and HCM systems.
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Get started with Nakisa Decision Intelligence
Watch the short videos below to quickly get started with Nakisa Decision Intelligence.
Introduction to Nakisa Decision Intelligence (NDI)
A high-level overview of NDI, what it is, who it’s for, and how it empowers enterprise decision-making.
Navigating the NDI Interface
A walkthrough of the user interface, menus, dashboards, and key navigation patterns.
1. How to navigate and use NDI
Get a guided introduction to NDI, learn how to navigate the interface, use predefined questions and chat instructions, ask questions, and understand how conversations, datasets, and results are organized.
2. How to analyze and visualize data in NDI
Learn how to explore data by creating and customizing charts and tables, applying filters and comparisons, and interacting with visualizations to uncover patterns and trends.
3. How to turn data into decision-ready plans in NDI
Learn how to identify gaps and risks, run scenarios, and generate defensible, data-driven recommendations using analytical, visual, and geographic insights.
Learn from real-world use cases
See how different teams leverage Nakisa Decision Intelligence for faster, data-driven decisions.
HR, org design, & workforce planning
You can use NDI in multiple ways to gain deep workforce insights, develop proactive talent strategies aligned with business priorities, and achieve efficient organizational design for future-ready teams. Some key use cases include:
1- Organizational design & structure
Organizational structure, hierarchy, and positions
Understand reporting lines, roles, and position distribution to align structure with strategic goals.
Copy prompt:
Analyze org structure, hierarchy, and roles. Map reporting lines, role distribution, and structural depth. Recommend actions to improve org effectiveness.
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Span of control and organizational efficiency
Assess management layers and spans of control to optimize decision-making and team performance.
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Evaluate management layers and spans of control to identify inefficiencies, decision-making bottlenecks, and workload imbalances.
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Role standardization and job architecture design
Standardize job roles, titles, and families for a scalable and consistent organizational framework.
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Assess job roles, titles, and families to identify inconsistencies, duplication, misclassification, , and job family misalignment.
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Job family and role alignment
Verify that employees are in the right job families and roles to ensure accurate organizational data.
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Verify employee placement across job families and roles to detect misalignment, incorrect classifications, or data integrity issues.
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Org design validation and diagnostics
Translate org design rules into actionable insights to detect and fix structural issues.
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Apply organizational design principles and rules to diagnose structural risks, inefficiencies, and misalignment. Recommend impovement actions.
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Workforce compliance and governance
Ensure org data, roles, and reporting structures comply with regulatory, internal, and industry rules.
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Evaluate organizational data, roles, and reporting structures against regulatory, internal, and industry governance requirements.
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Job family and role alignment
Verify that employees are in the right job families and roles to ensure accurate organizational data.
Org design validation and diagnostics
Translate org design rules into actionable insights to detect and fix structural issues.
Workforce compliance and governance
Ensure org data, roles, and reporting structures comply with regulatory, internal, and industry rules.
2- Organizational agility & strategic change
Organizational resilience and agility
Identify strengths and vulnerabilities to build a workforce that can adapt to business changes
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Assess organizational resilience by identifying structural, talent, and capability strengths and vulnerabilities.
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Strategic change and transformation
Model scenarios such as reorgs, mergers, or new operating models, and assess workforce implications before executing major changes.
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Model and compare strategic change scenarios, including reorganizations, mergers, and new operating models.
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Talent mobility and career pathways
Track internal talent flows and optimize career paths and mobility opportunities.
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Analyze internal talent flows, role transitions, and career pathways. Identify mobility barriers, gaps, and opportunities.
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Workforce experience and engagement
Analyze employee sentiment and engagement to guide retention and productivity strategies.
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Analyze workforce experience and engagement data to identify drivers of retention, productivity, and performance.
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3- Skills & capability management
Skills supply and demand gaps and impacts
Compare current workforce skills with future needs to identify gaps and assess business impact.
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Compare current workforce skills with future skill requirements to identify supply–demand gaps and critical shortages.
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Capability benchmarking and proficiency
Benchmark workforce skills internally and externally to identify strengths and development needs.
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Analyze current workforce skills. Identify concentration, gaps, and critical shortages. Infer future skill needs.
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Learning and development impacts
Measure training effectiveness and its impact on skills and career growth.
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Evaluate learning and development initiatives by measuring impact on skills, role readiness, and career progression.
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4- Talent planning & succession
Critical roles, talent pipeline, and succession planning
Identify key roles, evaluate bench strength, and ensure readiness for future leadership positions.
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Identify critical roles across organization. Assess talent pipeline depth, bench strength, and succession readiness.
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Attrition risks, retention patterns, and employee movement analysis
Monitor turnover trends and movement patterns to inform retention and workforce strategies.
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Analyze attrition, retention, and internal movement trends to identify risk hotspots and underlying drivers.
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Diversity, equity, inclusion, and workforce representation trends
Track DEI metrics to ensure equitable representation and address gaps across the organization.
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Analyze workforce representation and DEI metrics across roles, levels, and regions. Identify gaps, inequities, and risks.
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5- Financial & operational alignment
Organizational costs and financial alignment
Analyze workforce costs and budgets to align headcount and compensation with financial goals.
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Analyze workforce costs, headcount, and compensation against budgets and financial targets.
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Workforce planning and headcount forecasting
Forecast workforce needs and capacity based on business priorities and projected demand.
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Analyze workforce distribution, location trends, and remote-work patterns. Identify risk, cost, and policy misalignment.
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Workforce location and remote-work strategy
Analyze employee distribution and location trends to optimize office strategy and remote work policies.
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Evaluate current workforce capacity and headcount by role and function. Forecast workforce needs.
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Automation and workforce efficiency modeling
Analyze automation opportunities and optimize workforce allocation between humans and tech.
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Assess roles, activities, and processes to identify automation opportunities and efficiency gains.
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6- Workforce planning & investment intelligence
Strategic workforce planning and headcount scenarios
Plan and compare headcount and workforce growth scenarios aligned to business strategy and constraints.
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Model and compare workforce and headcount growth scenarios aligned to business strategy and defined constraints.
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Workforce planning trade-offs and alignment
Evaluate trade-offs across headcount, roles, costs, and capabilities to align workforce plans with strategic priorities.
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Evaluate trade-offs across headcount, roles, costs, and capabilities. Assess alignment with strategic priorities.
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Workforce planning and investment optimization
Optimize workforce plans by balancing growth, cost, and capability investments over time.
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Assess workforce plan readiness by evaluating succession depth, attrition exposure, and execution risk.Identify gaps.
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Workforce planning risk and readiness assessment
Assess succession readiness, attrition exposure, and execution risk to ensure workforce plans are achievable.
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Optimize workforce plans over time by balancing growth targets, cost constraints, and capability needs.
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See Nakisa Decision Intelligence at work. Watch these videos for real examples.
How to plan a new team using workforce insights
Analyze workforce data, simulate the costs and implications of hiring and promotion scenarios, and create onboarding and hiring timelines.
How to perform an HR data quality check
Validate internal rules, calculate HR data quality index, and get clear, personalized recommendations.
How to validate your org design principles
Validate org design principles and address issues such as span of control, management layers, pay gaps, and role alignment.
We have our own AI, but it is nowhere close to Nakisa, because it has and knows our HR-specific data. This is much more reliable compared to even our own AI system that we are developing. Other players in the market don’t have anything like this!
Capital projects, real estate, & facility
You can use NDI in multiple ways to optimize projects, portfolios, and assets for strategic alignment, operational efficiency, and peak performance, unlocking cost savings and enabling smarter investments. Some key use cases include:
1- Location & portfolio optimization
Location and geographic insights
Analyze property locations and market trends to support portfolio decisions and site selection.
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Analyze property locations, market, demographic, and performance data. Identify geographic trends, risks, and opportunities.
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Portfolio performance benchmarking
Compare properties across your portfolio to identify high- and low-performing assets.
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Benchmark properties across the portfolio using financial, operational, and utilization metrics. Identify high- and low-performing assets.
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Lease compliance and optimization
Ensure lease terms are adhered to and identify opportunities to renegotiate or optimize agreements.
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Evaluate lease terms, obligations, and key dates to ensure contractual and regulatory compliance. Identify risks, cost leakage, and optimization opportunities.
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Predictive portfolio optimization
Use predictive analytics to anticipate lease rollovers, cost escalation, vacancies, demand, and maintenance issues proactively.
Copy prompt:
Analyze portfolio data to anticipate ease rollover exposure, vacancy risk, demand shifts, cost escalation, and maintenance issues over time.
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Real estate portfolio optimization
Optimize your entire property portfolio to balance performance, risk, and strategic growth.
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Optimize the end-to-end real estate portfolio by balancing performance, cost, risk, and growth objectives. Model optimization scenarios and recommend the best.
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2- Financial performance & cost management
Financial performance and forecasting
Monitor expenses, revenue, and budgets across the portfolio, with scenario modeling for CapEx, OpEx, and FP&A planning.
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Analyze portfolio-level expenses, revenue, and budgets to assess current financial performance. Model CapEx, OpEx, and FP&A scenarios over time.
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Scenario modeling for capital projects
Model timelines, costs, and resource allocation to evaluate multiple project scenarios and mitigate risk.
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Model capital project scenarios by evaluating timelines, costs, and resource allocation across the project lifecycle.
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Lease vs. buy scenario analysis
Compare leases, locations, or evaluate lease-versus-buy options to support data-driven strategic decisions.
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Compare lease, buy, and location scenarios over time by analyzing financial, operational, and risk trade-offs.
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Risk-adjusted investment analysis
Evaluate financial and operational risks for property acquisitions, disposals, or renovations.
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Analyze portfolio data to anticipate ease rollover exposure, vacancy risk, demand shifts, cost escalation, and maintenance issues over time.
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3- Strategic growth & portfolio planning
Expansion, consolidation, and divestment modeling
Simulate footprint changes to align real estate strategy with business objectives.
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Simulate expansion, consolidation, and divestment scenarios by modeling footprint changes across locations.
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Portfolio scenario planning
Run what-if scenarios to assess occupancy, lease expirations and renewals, demand shifts, market conditions, and cost impact.
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Run what-if scenarios across occupancy, lease expirations and renewals, demand, market shifts, and cost drivers over time.
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Market trend and competitive analysis
Assess market conditions, competitor moves, and economic indicators to guide long-term strategy.
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Analyze market conditions, economic indicators, and competitor activity to identify risks and opportunities.
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Capital project prioritization
Rank and plan projects based on strategic value, risk-adjusted ROI, and resource constraints.
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Evaluate and rank capital projects based on strategic value, risk-adjusted ROI, and resource constraints. Recommend a prioritized roadmap.
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Strategic impact forecasting
Evaluate how decisions on locations, leases, and capital projects affect revenue, costs, and operational capacity.
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Forecast the strategic impact of decisions related to locations, leases, and capital projects over time. Quantify effects to support informed decisions.
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Contingency and resilience planning
Stress-test the portfolio against disruptions such as market shifts, natural disasters, supply chain issues, and tenant changes.
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Stress-test real estate portfolio against disruption scenarios: market shifts, natural disasters, supply chain issues, tenant changes, regulatory or economic shocks.
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4- Operational, financial, & compliance risk management
Contractual and lease compliance risk
Identify missed, current, and upcoming obligations, and surface expired or missing lease documentation.
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Identify past missed contractual obligations (payments, renewals, critical dates), detect current compliance gaps, and flag upcoming obligations at risk.
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Financial risk and cost exposure
Detect financial exposure from rent escalations, variable rent volatility, or inaccurate lease data, and cost overruns.
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Detect financial risk driven by rent escalations, variable rent volatility, inaccurate lease data, and capital cost overruns.
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Facilities, safety, and operational risk
Flag delayed work orders, unresolved maintenance issues, safety compliance gaps, facility outages, vendor disruptions, and operational risks.
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Identify delayed work orders, unresolved maintenance issues, safety compliance gaps, facility outages, vendor dependencies, and environmental risks.
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Capital project risk monitoring and mitigation
Identify capital projects trending toward delays, cost overruns, or resource bottlenecks.
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Monitor capital projects for early warning signs of schedule delays, cost overruns, or resource bottlenecks.
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Regulatory and environmental risk
Ensure properties, facilities, and capital projects meet local regulatory and environmental requirements.
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Evaluate properties, facilities, and capital projects against applicable local and industry regulations.
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5- Operational efficiency & space management
Workplace space optimization
Optimize layouts, utilization, and occupancy to improve efficiency and employee experience.
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Identify underutilized or inefficient locations. What space optimization scenarios maximize utilization, employee experience, and cost efficiency?
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Work order and vendor management
Track work orders, service requests, and day-to-day vendor performance to streamline operations.
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Which operational and vendor performance issues are driving delays or cost overruns? Recommend improvement actions.
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Predictive maintenance analytics
Forecast maintenance needs to reduce downtime, extend asset life, and lower costs.
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Using asset condition data, usage patterns, maintenance history, and failure risk, which assets are most likely to fail in the next planning horizon?
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Space and resource utilization analytics
Measure how spaces and resources are used and identify inefficiencies and consolidation opportunities.
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How are spaces and shared resources used compared to planned capacity across locations and time periods? Simulate optimization scenarios.
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Vendor and contract analytics
Analyze vendor contracts, costs, and performance to optimize procurement and strategic decisions.
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Across vendor contracts, spend, performance, and renewal timelines, where are cost leakage, risk exposure, or underperformance?
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6- Sustainability & ESG
Sustainability and emissions management
Monitor energy use, emissions, and environmental impact to meet sustainability targets.
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Evaluate sustainability performance across the real estate portfolio by analyzing store-level energy consumption, costs, and emissions.
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Energy efficiency and conservation planning
Identify high-energy areas and implement strategies to reduce consumption and costs.
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Identify high-energy-intensity locations. Compare scenarios and prioritize conservation initiatives with the highest ROI and fastest time to impact.
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Green building and certification tracking
Track certifications and compliance for different sustainability programs.
Copy prompt:
Benchmark facilities using energy consumption, EUI, and operational performance metrics to assess readiness for green building certifications.
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See Nakisa Decision Intelligence at work. Watch these videos for real examples.
How to assess global portfolio, financial impact, and risk
Gain full visibility into your global real estate portfolio, assess financial impact, and identify lease risks and critical dates by location.
How to get a full overview of your real estate portfolio
Analyze global lease and owned assets, capital projects, and spend distribution and drill-down by region, lease type, and asset category.
How to analyze and manage critical dates proactively
Identify compliance risks from missed or upcoming critical deadlines, analyze trends over time, and trigger automated alerts to reduce exposure.
Nakisa’s decision intelligence solution is the most advanced I have seen so far, most competitors only talk about AI without being able to show anything.
Finance & accounting
You can use NDI to strengthen lease accounting, financial forecasting, FP&A, risk management, and compliance, enabling better financial decisions and sustained long-term performance. Some key use cases include:
1- Lease accounting & compliance
Lease accounting and compliance
Manage complex lease changes, remeasurements, and reporting while ensuring compliance with IFRS 16, ASC 842, and local GAAP across all leases.
Copy prompt:
Analyze lease portfolio for complex modifications, remeasurements, and reporting requirements under IFRS 16, ASC 842, and local GAAP and identify gaps.
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End of term management
Manage lease expirations, renewals, terminations, and related financial and operational obligations to avoid risk and missed actions.
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Given upcoming expirations, options, and constraints, what actions should be taken, and when to minimize cost and risk while preserving flexibility?
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Periodic reconciliations
Reconcile lease, subledger, and financial data to ensure ongoing accuracy, consistency, and compliance.
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Identify discrepancies across lease data, obligations, payments, subledgers, and financial systems. Simulate correction scenarios and recommend the best.
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Audit readiness and documentation tracking
Maintain complete, traceable lease and financial records to support internal controls and external audits.
Copy prompt:
How can lease data, calculations, approvals, and supporting documents be continuously organized and validated to support audit readiness at any time?
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2- Reporting & disclosures
Financial reporting and disclosures
Generate accurate, audit-ready lease accounting reports and disclosures by validating data quality, assumptions, and calculations across the portfolio.
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Consolidate financial data across entities and regions. Deliver audit-ready reports and surface data quality and compliance gaps.
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Regulatory reporting support
Produce compliant regulatory and statutory reports across jurisdictions by aligning lease data, accounting policies, and reporting requirements.
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How can local and international reporting requirements be met consistently while minimizing risk and manual effort?
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Multi-entity consolidation
Consolidate lease and financial data across entities, regions, and portfolios while detecting data inconsistencies and ensuring integrity for group-level reporting.
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Identify inter-entity discrepancies, test consolidation assumptions, and recommend optimal, auditable consolidated view.
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3- Financial planning & forecasting
Financial forecasting and scenario modeling
Project revenues, costs, and lease accounting impacts, including cash flows and liabilities, across scenarios to assess outcomes and trade-offs.
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Project revenues, costs, and lease accounting impacts, including cash flows, liabilities, and remeasurements.
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FP&A-specific scenario analysis
Align forecasts with business targets and test alternative financial strategies and assumptions.
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Align financial forecasts with targets, test scenarios, assess trade-offs, and recommend optimal financial strategies.
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Cost optimization and variance analysis
Identify cost drivers, explain variances, and surface opportunities to improve financial performance.
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Analyze costs and budget performance. Identify variances and inefficiencies. Quantify impact and assess root causes.
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Lease vs. buy scenario analysis
Compare leasing and purchasing options to evaluate cost, risk, and long-term financial impact.
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Compare leasing and purchasing scenarios over time. Test assumptions, assess uncertainty and trade-offs, and recommend the best option.
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Scenario-based risk assessment
Model financial risks and stress-test plans to assess resilience under different scenarios.
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Model financial risk scenarios and stress-test the portfolio against adverse conditions over time. Recommend prioritized mitigation actions
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4- Capital & investment management
Capital investments and budgeting
Plan, monitor, and adjust capital allocation across projects and properties to stay aligned with budgets and priorities.
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Plan and monitor capital allocation across projects and properties over time. Evaluate alternative investment scenarios and recommend actions to optimize capital deployment and financial outcomes.
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Capital planning and investment
Evaluate project ROI, compare investment scenarios, and optimize capital spend over time.
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Evaluate capital investment options by assessing risk-adjusted ROI, strategic value, and timing over time. Compare scenarios and recommend a prioritized, time-phased plan.
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Integrated vendor and contract financial insights
Analyze contract terms, obligations, payments, and vendor performance to control costs and reduce financial risk.
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Analyze vendor contracts, obligations vs. payments, spend trends, and performance over time. Identify cost leakage, financial risk, and dependency concentration and recommend prioritized actions.
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Project prioritization and ROI analysis
Rank capital initiatives by financial impact, risk, and strategic value to guide investment decisions.
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Rank projects and initiatives based on financial impact, risk-adjusted ROI, strategic alignment, and resource constraints. Compare funding and sequencing scenarios.
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See Nakisa Decision Intelligence at work. Watch these videos for real examples.
How to analyze lease portfolios, risks, and future scenarios
Gain clear visibility into your lease portfolio, costs, risks, and future scenarios to guide smarter capital and lease decisions.
How to analyze and manage critical dates
Identify compliance risks from missed or upcoming critical deadlines, analyze trends over time, and trigger automated alerts to reduce exposure.
This is not a wrapper; we have tried many AI systems, and no one is close to Nakisa. The major benefit, is that NDI has and knows our data. Other AI systems won’t have that access. NDI doesn’t hallucinate and is made for our use case. This has our data and is enterprise-grade.
Blogs
Access educational content designed to help you unlock the full power of Nakisa Decision Intelligence.
In this new post of our series, our CTO, Faraz, explores how org charts are evolving. Once static and quickly outdated, they’re now brought to life by decision intelligence platforms. By converting natural language questions into intelligent visualizations, leaders, analysts, and HRBPs can unlock real-time organizational insights, gaining clarity and agility that simply didn’t exist before.
In this post from our new series, our CTO, Faraz, explains how Nakisa Decision Intelligence (NDI) turns instructions into intelligent decisions using our guiding principles, called chat instructions, making the difference between a useful answer and a transformative one.
In this post from our new series, our CTO, Faraz, explains how Nakisa Decision Intelligence (NDI) interprets intent and adapts to user behavior by balancing analytical precision with creative flexibility through Context Memory and Instruction Strictness.
In this post of our new series, our CTO, Faraz, explores how generative AI powers dynamic UI generation. Learn how adaptive interfaces evolve using an AI-friendly schema and how Nakisa Decision Intelligence (NDI) applies this approach.
Discover how large enterprises can save on time and costs using Nakisa Decision Intelligence's instant, prompt-based workforce data quality checks and rule-based…
In this new post of our series, our CTO, Faraz, explores how org charts are evolving. Once static and quickly outdated, they’re…
In this post from our new series, our CTO, Faraz, explains how Nakisa Decision Intelligence (NDI) turns instructions into intelligent decisions using…
In this post from our new series, our CTO, Faraz, explains how Nakisa Decision Intelligence (NDI) interprets intent and adapts to user…
In this post of our new series, our CTO, Faraz, explores how generative AI powers dynamic UI generation. Learn how adaptive interfaces…
See why market leaders trust NDI
This is not a wrapper; we have tried many AI systems, and no one is close to Nakisa. The major benefit, is that NDI has and knows our data. Other AI systems won’t have that access. NDI doesn’t hallucinate and is made for our use case. This has our data and is enterprise-grade.
VP, Systems and Policies,
Manufacturing Leader with 50K employees
Nakisa’s decision intelligence solution is the most advanced I have seen so far, most competitors only talk about AI without being able to show anything.
Managing Director and RE Tech Leader,
Global Services Company with 400K employees
We have our own AI, but it is nowhere close to Nakisa, because it has and knows our HR-specific data. This is much more reliable compared to even our own AI system that we are developing. Other players in the market don’t have anything like this!
Director, ERP Solutions,
Global Health and Science Company with 95K employees
FAQs
What is the Nakisa Decision Intelligence (NDI) Platform?
NDI is an agentic, enterprise-grade decision intelligence platform that combines AI reasoning with deterministic analytics to deliver real-time, explainable insights. It unifies and interprets vast internal and external datasets across any system in real time. NDI goes beyond analysis by running forecasts, simulations, and visualizations, while providing expert, context-aware guidance every step of the way. Ask complex business questions in natural language (text or voice) and receive tailored recommendations. And it doesn’t stop there: execute decisions instantly through Nakisa AI agents and apply them directly to your ERP and HCM systems.
How is NDI different from traditional BI tools?
Traditional BI answers what happened; NDI explains why it happened and what to do next.
It interprets context, runs forecasts and simulations, provides expert, context-aware guidance and recommendations, and turns insights into actions instantly.
What does agentic architecture mean?
NDI is powered by multiple specialized AI agents—retrieval, predictive, visualization, and orchestration—that work together under a central controller to generate fast, accurate, and contextual results. Learn more about the powerful AI agents behind NDI’s capabilities here.
How does NDI minimize the risk of hallucinations in AI?
It uses a hybrid reasoning model: large-language-model intuition for understanding context, and deterministic computation for mathematical precision and traceability.
Can users trace how NDI arrived at a result?
Yes. Every NDI output includes an explainable reasoning path showing the data, calculations, and agents used, ensuring auditability and compliance.
What types of data can NDI analyze?
NDI is data agnostic; it handles both structured (e.g., financials, HR records, lease data) and unstructured information (documents, reports, text). It understands hierarchies, relationships, and multi-dimensional datasets.
What types of visualizations does NDI produce?
NDI automatically selects the most appropriate visualization—pie, treemap, bubble, chord, 3D scatter, boxplot, diagram, and more—helping users instantly grasp patterns and dependencies. Users can also customize chart types, axes, components, and colors directly through their prompts. Learn more here.
How does NDI perform on large datasets?
Its distributed, agent-based architecture executes queries in parallel, processing millions of records in seconds while maintaining accuracy and data integrity. We currently have tables with over a million records in sample datasets.
How does NDI support scenario and predictive analysis?
NDI’s predictive agents run real-time what-if simulations and forecasts, letting users test assumptions and see potential business outcomes instantly. When certain data isn’t available in your datasets—such as departmental targets, company growth targets, region-specific costs, market rates—NDI prompts users to enter these values, so scenarios can reflect the full picture and generate accurate results. Learn more about NDI’s advanced forecasting and simulation capabilities here.
What makes NDI trustworthy for enterprise decisions?
NDI is governed, explainable, and secure. Every result is reproducible, traceable, and based on governed data, enabling reliable, defensible decision-making.
How does NDI ensure data security and governance?
NDI runs on Nakisa’s secure, enterprise-grade SaaS infrastructure, featuring role-based access control (RBAC), encryption at rest and in transit, single sign-on (SSO), multi-level approvals, and comprehensive audit trails. The platform is compliant with SOC 1 & 2 Type II, FIPS 140-2, ISO 27001 and ISO 27017, is GDPR ready, and meets ITGC standards. Importantly, client data is never used to train or fine-tune third-party AI models.
Does NDI replace existing analytics tools?
No. NDI complements them. It acts as a decision layer above existing BI and ERP systems, unifying data and accelerating cross-functional decision cycles.
How quickly can NDI be deployed?
For existing Nakisa clients, activation can take days; for new environments, governed connectors enable deployment within weeks depending on data readiness.
What level of technical expertise do users need?
No technical expertise is required. Users simply type or speak their questions in natural language. NDI interprets intent, performs analysis, runs forecasts and simulations, and automatically delivers results, tailored recommendations, and intuitive visualizations.
How does NDI maintain consistency across departments?
By applying shared business logic and governed data models, NDI ensures all teams, such as Finance, HR, and Operations, work from one consistent source of truth.
Can NDI connect to non-Nakisa systems?
Yes. While natively integrated with Nakisa Lease Accounting, IWMS, and Workforce Planning portfolios, NDI can also connect to ERP and HCM systems such as SAP, Oracle, Workday, and PeopleSoft, as well as CRM and data platforms like Salesforce and Snowflake.
How does NDI integrate results into daily workflows?
Users can export insights, generate reports, or trigger workflow actions directly within NDI, turning analytics and recommendations into operational actions without switching platforms.
How does NDI facilitate collaboration between teams?
NDI's conversational interface and shared decision history enable organization-wide teams, such as Finance, HR, and Operations, to explore the same scenarios, align assumptions, and act in alignment.
What value or ROI can organizations gain from using NDI
Organizations using Nakisa Decision Intelligence (NDI) can expect measurable value and ROI across multiple dimensions:
- Faster, smarter decisions: By turning complex, siloed data into real-time, actionable insights, NDI accelerates decision-making and reduces reliance on manual analysis.
- Improved accuracy and confidence: Hybrid AI architecture ensures decisions are both creative and precise, minimizing errors and risks associated with data misinterpretation.
- Operational efficiency: Automated workflows and AI-driven actions reduce manual work, freeing teams to focus on high-value, strategic initiatives.
- Cross-functional alignment: Shared decision history and a conversational interface enable organization-wide teams to align assumptions and act cohesively.
- Cost savings and risk mitigation: NDI identifies opportunities and risks early, optimizes resources, and improves compliance, reducing financial exposure.
- Scalable insights: Supports enterprise-wide adoption, allowing organizations to analyze multiple business domains (HR, real estate, finance) in one unified platform.
In short, NDI transforms data into confident, coordinated action, enabling organizations to maximize strategic impact while lowering costs and operational risk.
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