Enterprise team inside a secure Doha intelligence operations room
Representative engagement · 06

Majlis AI

Doha, QatarEnterprise AIKnowledge platform

MarketQatar + GCC
SectorEnterprise knowledge
ScopeAI strategy, UX, governance
StatusRepresentative concept

The brief

Make institutional knowledge useful.

Design a secure bilingual AI assistant that helps enterprise teams find evidence, synthesize internal knowledge, and prepare decisions without losing source context.

The product had to earn trust: answer boundaries, permissions, citations, review states, and human accountability needed to be visible in the experience—not hidden behind the model.

Majlis AI secure enterprise operations environment
Enterprise knowledge intelligence / Concept presentation

Our response

AI that shows its work.

We designed the assistant around verifiable answers rather than conversational novelty. Every response connects to permitted evidence, indicates uncertainty, and offers a clear path to inspect, refine, or escalate.

01

Choose valuable workflows

Prioritize research, policy interpretation, briefing, and knowledge retrieval where quality can be evaluated and governed.

02

Design trustworthy answers

Make citations, access limits, confidence signals, missing evidence, and human review part of the core interaction.

03

Govern from the start

Define permissions, source freshness, retention, feedback, evaluation, and incident pathways before broad deployment.

Enterprise AI with regional depth.

Arabic + English reasoning

Evaluation sets cover retrieval and answer quality across both languages, not only interface translation.

Data boundaries

Access follows organizational permissions with deployment and residency options aligned to enterprise requirements.

Source authority

Responses distinguish policy, precedent, guidance, draft material, and superseded information.

Human accountability

Review, approval, escalation, and audit paths remain explicit for consequential use cases.

What we shaped

A governed intelligence layer.

Deliverables

  • AI opportunity mapping
  • Knowledge workflow design
  • Bilingual assistant UX
  • Citation and review patterns
  • Admin and governance console
  • Pilot evaluation framework

Technology direction

  • Retrieval-augmented generation
  • Permission-aware indexing
  • Model gateway architecture
  • Source and answer audit logs
  • Evaluation and feedback pipeline
  • Private deployment options

Designed outcome

A useful enterprise assistant that makes answers faster to assemble while keeping evidence, authority, and accountability close to every decision.

The pilot framework creates a disciplined route from selected workflows to measured adoption, governance review, and responsible expansion.

Qualitative concept outcome · No fabricated metrics
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