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.
Enhanced decision accuracy
Reduced time-to-decision
Faster Analytics
Watch the short videos below to quickly get started with Nakisa Decision Intelligence.
A high-level overview of NDI, what it is, who it’s for, and how it empowers enterprise decision-making.
A walkthrough of the user interface, menus, dashboards, and key navigation patterns.
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.
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.
Learn how to identify gaps and risks, run scenarios, and generate defensible, data-driven recommendations using analytical, visual, and geographic insights.
See how different teams leverage Nakisa Decision Intelligence for faster, data-driven decisions.
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:
Analyze property locations and market trends to support portfolio decisions and site selection.
Copy prompt:
Analyze property locations, market, demographic, and performance data. Identify geographic trends, risks, and opportunities.
Compare properties across your portfolio to identify high- and low-performing assets.
Copy prompt:
Benchmark properties across the portfolio using financial, operational, and utilization metrics. Identify high- and low-performing assets.
Ensure lease terms are adhered to and identify opportunities to renegotiate or optimize agreements.
Copy prompt:
Evaluate lease terms, obligations, and key dates to ensure contractual and regulatory compliance. Identify risks, cost leakage, and optimization opportunities.
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.
Optimize your entire property portfolio to balance performance, risk, and strategic growth.
Copy prompt:
Optimize the end-to-end real estate portfolio by balancing performance, cost, risk, and growth objectives. Model optimization scenarios and recommend the best.
Monitor expenses, revenue, and budgets across the portfolio, with scenario modeling for CapEx, OpEx, and FP&A planning.
Copy prompt:
Analyze portfolio-level expenses, revenue, and budgets to assess current financial performance. Model CapEx, OpEx, and FP&A scenarios over time.
Copy prompt:
Model capital project scenarios by evaluating timelines, costs, and resource allocation across the project lifecycle.
Compare leases, locations, or evaluate lease-versus-buy options to support data-driven strategic decisions.
Copy prompt:
Compare lease, buy, and location scenarios over time by analyzing financial, operational, and risk trade-offs.
Evaluate financial and operational risks for property acquisitions, disposals, or renovations.
Copy prompt:
Analyze portfolio data to anticipate ease rollover exposure, vacancy risk, demand shifts, cost escalation, and maintenance issues over time.
Simulate footprint changes to align real estate strategy with business objectives.
Copy prompt:
Simulate expansion, consolidation, and divestment scenarios by modeling footprint changes across locations.
Run what-if scenarios to assess occupancy, lease expirations and renewals, demand shifts, market conditions, and cost impact.
Copy prompt:
Run what-if scenarios across occupancy, lease expirations and renewals, demand, market shifts, and cost drivers over time.
Assess market conditions, competitor moves, and economic indicators to guide long-term strategy.
Copy prompt:
Analyze market conditions, economic indicators, and competitor activity to identify risks and opportunities.
Rank and plan projects based on strategic value, risk-adjusted ROI, and resource constraints.
Copy prompt:
Evaluate and rank capital projects based on strategic value, risk-adjusted ROI, and resource constraints. Recommend a prioritized roadmap.
Evaluate how decisions on locations, leases, and capital projects affect revenue, costs, and operational capacity.
Copy prompt:
Forecast the strategic impact of decisions related to locations, leases, and capital projects over time. Quantify effects to support informed decisions.
Stress-test the portfolio against disruptions such as market shifts, natural disasters, supply chain issues, and tenant changes.
Copy prompt:
Stress-test real estate portfolio against disruption scenarios: market shifts, natural disasters, supply chain issues, tenant changes, regulatory or economic shocks.
Identify missed, current, and upcoming obligations, and surface expired or missing lease documentation.
Copy prompt:
Identify past missed contractual obligations (payments, renewals, critical dates), detect current compliance gaps, and flag upcoming obligations at risk.
Detect financial exposure from rent escalations, variable rent volatility, or inaccurate lease data, and cost overruns.
Copy prompt:
Detect financial risk driven by rent escalations, variable rent volatility, inaccurate lease data, and capital cost overruns.
Flag delayed work orders, unresolved maintenance issues, safety compliance gaps, facility outages, vendor disruptions, and operational risks.
Copy prompt:
Identify delayed work orders, unresolved maintenance issues, safety compliance gaps, facility outages, vendor dependencies, and environmental risks.
Identify capital projects trending toward delays, cost overruns, or resource bottlenecks.
Copy prompt:
Monitor capital projects for early warning signs of schedule delays, cost overruns, or resource bottlenecks.
Ensure properties, facilities, and capital projects meet local regulatory and environmental requirements.
Copy prompt:
Evaluate properties, facilities, and capital projects against applicable local and industry regulations.
Optimize layouts, utilization, and occupancy to improve efficiency and employee experience.
Copy prompt:
Identify underutilized or inefficient locations. What space optimization scenarios maximize utilization, employee experience, and cost efficiency?
Track work orders, service requests, and day-to-day vendor performance to streamline operations.
Copy prompt:
Which operational and vendor performance issues are driving delays or cost overruns? Recommend improvement actions.
Forecast maintenance needs to reduce downtime, extend asset life, and lower costs.
Copy prompt:
Using asset condition data, usage patterns, maintenance history, and failure risk, which assets are most likely to fail in the next planning horizon?
Measure how spaces and resources are used and identify inefficiencies and consolidation opportunities.
Copy prompt:
How are spaces and shared resources used compared to planned capacity across locations and time periods? Simulate optimization scenarios.
Analyze vendor contracts, costs, and performance to optimize procurement and strategic decisions.
Copy prompt:
Across vendor contracts, spend, performance, and renewal timelines, where are cost leakage, risk exposure, or underperformance?
Monitor energy use, emissions, and environmental impact to meet sustainability targets.
Copy prompt:
Evaluate sustainability performance across the real estate portfolio by analyzing store-level energy consumption, costs, and emissions.
Identify high-energy areas and implement strategies to reduce consumption and costs.
Copy prompt:
Identify high-energy-intensity locations. Compare scenarios and prioritize conservation initiatives with the highest ROI and fastest time to impact.
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.
See Nakisa Decision Intelligence at work. Watch these videos for real examples.
Gain full visibility into your global real estate portfolio, assess financial impact, and identify lease risks and critical dates by location.
Analyze global lease and owned assets, capital projects, and spend distribution and drill-down by region, lease type, and asset category.
Identify compliance risks from missed or upcoming critical deadlines, analyze trends over time, and trigger automated alerts to reduce exposure.
Access educational content designed to help you unlock the full power of Nakisa Decision Intelligence.
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.
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.
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!
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.
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.
It uses a hybrid reasoning model: large-language-model intuition for understanding context, and deterministic computation for mathematical precision and traceability.
Yes. Every NDI output includes an explainable reasoning path showing the data, calculations, and agents used, ensuring auditability and compliance.
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.
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.
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.
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.
NDI is governed, explainable, and secure. Every result is reproducible, traceable, and based on governed data, enabling reliable, defensible decision-making.
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.
No. NDI complements them. It acts as a decision layer above existing BI and ERP systems, unifying data and accelerating cross-functional decision cycles.
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.
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.
Organizations using Nakisa Decision Intelligence (NDI) can expect measurable value and ROI across multiple dimensions:
In short, NDI transforms data into confident, coordinated action, enabling organizations to maximize strategic impact while lowering costs and operational risk.
If you didn’t find what you’re looking for, need assistance, or have feedback or questions, fill out this form. We’re here to help.
