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 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:
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.
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.
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.
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.
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.
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.
Verify that employees are in the right job families and roles to ensure accurate organizational data.
Translate org design rules into actionable insights to detect and fix structural issues.
Ensure org data, roles, and reporting structures comply with regulatory, internal, and industry rules.
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Assess organizational resilience by identifying structural, talent, and capability strengths and vulnerabilities.
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Model and compare strategic change scenarios, including reorganizations, mergers, and new operating models.
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Analyze internal talent flows, role transitions, and career pathways. Identify mobility barriers, gaps, and opportunities.
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Analyze workforce experience and engagement data to identify drivers of retention, productivity, and performance.
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Compare current workforce skills with future skill requirements to identify supply–demand gaps and critical shortages.
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Analyze current workforce skills. Identify concentration, gaps, and critical shortages. Infer future skill needs.
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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Identify critical roles across organization. Assess talent pipeline depth, bench strength, and succession readiness.
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Analyze attrition, retention, and internal movement trends to identify risk hotspots and underlying drivers.
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Analyze workforce representation and DEI metrics across roles, levels, and regions. Identify gaps, inequities, and risks.
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Analyze workforce costs, headcount, and compensation against budgets and financial targets.
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Analyze workforce distribution, location trends, and remote-work patterns. Identify risk, cost, and policy misalignment.
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Evaluate current workforce capacity and headcount by role and function. Forecast workforce needs.
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Assess roles, activities, and processes to identify automation opportunities and efficiency gains.
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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Evaluate trade-offs across headcount, roles, costs, and capabilities. Assess alignment with strategic priorities.
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Assess workforce plan readiness by evaluating succession depth, attrition exposure, and execution risk.Identify gaps.
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Optimize workforce plans over time by balancing growth targets, cost constraints, and capability needs.
Analyze workforce data, simulate the costs and implications of hiring and promotion scenarios, and create onboarding and hiring timelines.
Validate internal rules, calculate HR data quality index, and get clear, personalized recommendations.
Validate org design principles and address issues such as span of control, management layers, pay gaps, and role alignment.
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.
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