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.
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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!
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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