Product Case Study · Agentic Enterprise AI
Putting agentic AI to work inside the enterprise.
Kalpita Nexa is an agentic, RAG-native enterprise AI solution deployed inside the organization’s own environment — documented 30% efficiency gain via RAG chatbot, with multi-department workflows in daily production use.
30%
documented efficiency gain
14
languages, including Arabic
100%
data sovereignty
Multi
department app architecture
Overview
Six things Nexa proves about enterprise AI
Agentic enterprise AI solution running in production.
inside Kalpita and within client environments
30% efficiency gain
Documented in a deployed retrieval-grounded chatbot engagement.
One capability, every team
A multi-department design puts a single AI capability into every team’s workflow.
Answers you can trace
Retrieval-grounded answers drawn from enterprise documents and systems, with role-based access and guardrails.
Live inside Kalpita Recruit
Answering recruiter and candidate questions in real time.
14 languages, voice and visuals
Including Arabic, voice-enabled queries, and built-in data visualization.
Summary
Most enterprises pilot AI chatbots. Few put one to work.
Most enterprises pilot AI chatbots; few put one to work. Kalpita Nexa was engineered for production from the start — a multi-model, RAG-native AI engine deployed on-premise or in sovereign cloud, configured to an organization’s data sources, languages, and workflows. This case study covers Nexa in daily use: as the assistant embedded in Kalpita Recruit’s hiring workflows, as an internal knowledge engine for onboarding and operations, and as the architecture behind a documented 30% efficiency gain.
Product profile
At a glance
Kalpita Nexa is an agentic, RAG-native enterprise AI solution, configured per client and deployed inside the organization’s own environment — running in production inside Kalpita and across client estates in regulated industries.
- Product name
- Kalpita Nexa
- Classification
- Solution — configured per client, deployed in the client's environment
- Architecture
- Model-flexible · RAG-native · multi-department application design
- Deployment
- On-premise or sovereign cloud — data never leaves the environment
- Languages
- 14, including Arabic · voice-enabled queries
- Governance
- Role-based access control · safety guardrails · audit trails · admin utility
- Built by
- Kalpita Technologies — 130+ professionals, SOC 2 (AICPA) & ISO certified
Technical approach
The engineering behind Nexa
- Retrieval separated from generation
- Answers are assembled from the organization’s own indexed sources and cite them, and the underlying language model is a configurable choice rather than a fixed dependency.
- Why that separation matters
- It is why answers are traceable to a source document rather than asserted. It is why a sovereign or air-gapped deployment can run a model permitted in that environment. And it is why a model can be replaced — because it is deprecated, or because procurement requires a different one — without rebuilding the organization’s knowledge estate.
- Enterprise controls
- Deployment inside the customer’s environment, integration with enterprise identity and single sign-on, role-based access so a user retrieves only what they are already entitled to see, content guardrails, and an audit record of every interaction.
- Shared under NDA
- Retrieval strategy, agent workflow design, connector implementation, evaluation methodology and model-selection logic are covered under NDA during a technical evaluation.
The challenge
The problem we solved
Enterprise knowledge lives in too many places — CRM, ERP, document stores, policy manuals, ticketing systems — and employees burn hours hunting for answers that already exist.
Scattered
knowledge spread across CRM, ERP, document stores, policy manuals and ticketing systems.
Hours lost
employees search for answers that already exist somewhere in the estate.
Pilot purgatory
most enterprise AI never leaves the proof-of-concept stage.
Sovereignty
regulated organizations cannot send proprietary data to a public model.
The solution
Agentic AI in daily production, inside your own environment.
Nexa is deployed where the data lives — on-premise or in sovereign cloud — and configured per organization, so proprietary information never leaves the estate.
Agentic workflows
multi-step tasks across departments: retrieve from CRM, query ERP, summarize documents, trigger actions
RAG-native grounding
answers from your documents and databases, not model guesswork
Document & file intelligence
upload, query, and summarize with source traceability
Data visualization
charts and tables generated from live data as part of the answer
Prompt collaboration
shared prompt libraries that compound in value with use
Multi-source querying
CRM, ERP, document management, SCADA, billing, and network data in one response
Enterprise governance
RBAC, content guardrails, audit trails, admin utility
The deployment
Where Nexa runs today
Nexa is not a demo environment. It is in daily production inside Kalpita and within client estates.
Inside Kalpita Recruit
Nexa’s RAG-based chatbot is integrated directly into Kalpita Recruit, giving recruiters and hiring managers instant, grounded answers from live recruitment data.
Knowledge management and onboarding
Deployed as an internal knowledge engine, Nexa answers questions from policy documents, process guides and operational manuals on demand.
The documented result
A Kalpita-deployed RAG chatbot delivered a measured 30% efficiency gain — the verified proof point behind the product.
Inside Kalpita Nexa
Results
What Nexa delivers, measured
One deployed engagement produced the documented number below; the rest is what production use has proven since.
Efficiency gain
30%
30% — documented
Knowledge access
Instant
Instant, grounded answers across departments
Data sovereignty
100%
100% — deployed inside the organization’s environment
Adoption flywheel
Compounding
Prompt collaboration builds internal network effects
Conclusion
This is what “AI-first” means when it ships.
Nexa demonstrates what "AI-first" means when it ships: not a pilot, not a demo — an agentic AI capability in daily production, governed, multilingual, and grounded in the organization’s own data. It’s the third stage of Kalpita’s hire-to-knowledge pipeline: Recruit sources, AI Interview verifies, Nexa onboards and answers.
FAQ
Frequently asked questions
See it live
See Nexa answer from your own data.
Request a live demo and watch an agentic assistant answer from your documents, your systems and your rules — inside your own environment.