KHEP Intelligence
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KHEP Build

AI in production, applied to real processes.

We turn prioritized cases into copilots, agents, intelligent knowledge bases, automations and integrations.

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Implementation

Build does not deliver only a working agent.

It delivers a controlled path to put AI in production, with context, architecture, testing, adoption and continuous improvement.

  1. 01

    Case Scope

  2. 02

    Context Base

  3. 03

    Architecture and Stack

  4. 04

    Functional Implementation

  5. 05

    Testing and Quality

  6. 06

    Adoption and Evolution

Levels

Pilot proves. Agent operationalizes. System integrates.

Pilot

Build Pilot

First functional implementation to prove value, architecture and adoption.

Agent

Build Agent

Specialized agent or copilot for an area, process or function.

System

Build System

A more complete flow with agents, automations, integrations and metrics.

Entry

Build starts better when the case has ownership, context and metrics.

Defined case

Problem, user and process must be clear.

Context source

Documents, knowledge bases, rules or playbooks available.

Success criteria

Minimum metric to assess usage, cost, adoption or outcome.

Done

An AI solution is ready only when it can be used with control.

Tested

With questions, expected answers, limits and fallbacks.

Adopted

With users, training and a usage routine.

Measured

With logs, costs and outcome indicators.

AI in production

Usage

  • Active users
  • Questions per period
  • Assisted tasks

Quality

  • Useful answer
  • Fallback
  • Identified hallucination

Cost

  • Cost per interaction
  • Monthly cost
  • Cost per process

Adoption

  • Trained users
  • Recurrence
  • Feedback

Outcome

  • Time saved
  • Less rework
  • SLA improvement

Technical reference

Mistral as a reference for open, governable and enterprise-grade architectures.

KHEP does not communicate a formal partnership yet. The technical reference informs architecture decisions when it fits the case.

Applied demo

See a connected operation in action.

Explore how operational data, internal documents and applied intelligence work together to answer questions, identify risks and guide priorities.

Caramelo Group

Operational assistant with connected data and knowledge

Test questions about inventory, customers, orders, operational priorities and institutional knowledge in an integrated experience.

Explore the demo

Fictional company created to demonstrate a realistic operation.

Already have a case to implement?

Build helps move AI from backlog to operation with control.

Talk about Build