RAG Knowledge Assistant for UAE Teams

The engagement

We build a retrieval-augmented knowledge assistant on your own documents — SOPs, contracts, policies, past deals, product specs — so your team gets answers in seconds instead of digging through SharePoint, email threads, and WhatsApp. This is not a generic chat-with-PDF wrapper: it enforces your permissions model, cites the exact source behind every answer, and handles Arabic and English content. Data handling is PDPL-aware from day one, and you get an admin dashboard, a feedback loop, and full handover documentation so the system stays yours.

Not a generic chat-with-docs wrapper

Most "chat with your documents" tools are a thin layer over a public model with no view of who's asking, no proof of where the answer came from, and no handling of Arabic content. That's fine for a demo and dangerous in a UAE business where a junior shouldn't see board papers, an answer with no citation can't be trusted, and half your contracts are bilingual.

• Permissions enforced at retrieval, so an answer is never assembled from documents the user can't access

• Every answer cites the source — no confident-sounding guesses presented as fact

• Arabic and English handled as first-class, not bolted on

• Your data, your infrastructure, your audit trail — not a black box

Document sources

We start by mapping where your knowledge actually lives, which is rarely one tidy place. We ingest from the systems you already use and normalize messy real-world formats into a clean, searchable index.

• PDFs, Word, Excel, and scanned documents (with OCR where needed)

• SharePoint, Confluence, Notion, Google Drive, and shared network folders

• Exported email threads and WhatsApp logs where they hold institutional knowledge

• Incremental re-ingestion so new and updated documents stay current

Permissions

The permissions model is the part most tools skip and the part that decides whether a UAE firm can actually deploy this. We mirror your existing access structure — by team, role, project, or document set — and enforce it at the retrieval layer.

• Access scoped per user or group, aligned to your org structure

• Enforced before retrieval, so restricted documents never enter an answer

• Mapped to your existing identity provider where one exists (e.g. Microsoft Entra, Google Workspace)

• Access events captured in the audit trail

Citations

Every answer points back to where it came from — document name, section, and page — so your team can verify rather than trust blindly. This is what turns a knowledge assistant from a novelty into something an operator or compliance reviewer will actually rely on. When the documents don't contain an answer, the assistant says so instead of inventing one.

Arabic and English support

Bilingual EN/AR is a real requirement in the UAE, not a nice-to-have. We handle Arabic and English documents in the same index, support cross-language retrieval (ask in English, find the answer in an Arabic contract), and return answers in the language the user is working in.

• Arabic and English documents ingested into one searchable knowledge base

• Cross-language retrieval between EN and AR sources

• Responses in the user's working language, with citations to the original document

Admin controls

You get an admin dashboard to run the system without depending on us. Manage which sources are connected, who can access what, and review how the assistant is being used across the team.

• Connect, refresh, and retire document sources

• Set and adjust access scopes per user or group

• See usage — what's being asked, by whom, how often

• Review and export query and access logs

Feedback loop

Users can flag answers that are wrong, incomplete, or missing a source, and those signals feed directly into tuning. Instead of guessing at quality, we measure it against your real questions and improve retrieval where it's weakest. This is also how the system stays accurate as your documents change.

Dashboard

Beyond day-to-day admin, the dashboard gives leadership a view of how the knowledge base is performing — coverage, common questions, flagged gaps, and where documentation is thin. That turns the assistant into a map of what your organization knows and what it's missing.

• Coverage and usage at a glance

• Most-asked questions and topics

• Flagged answers and identified knowledge gaps

• Source freshness and ingestion status

What you actually get

• Document ingestion across your real sources — PDF, Word, Excel, SharePoint, Confluence, Notion, drive folders, and email exports

• Retrieval pipeline: chunking, embeddings, and a vector store tuned for your document types and query patterns

• Permissions model that mirrors your org — answers are scoped to what each user is allowed to see, enforced at retrieval, not just hidden in the UI

• Citation format that links every answer back to the exact source document, section, and page

• Arabic and English workflow support — bilingual ingestion, cross-language retrieval, and EN/AR responses

• Admin dashboard for source management, access controls, usage visibility, and query review

• Feedback loop so users flag wrong or incomplete answers and the system improves on real usage

• PDPL-aware data handling with audit trails on access and retrieval

• Handover documentation and a 30-day post-launch tuning window

Who buys this

• Operations and knowledge leads at firms with 500+ pages of institutional knowledge spread across SharePoint, drives, and inboxes

• Real-estate, legal, and compliance teams that need to retrieve precedent, deal terms, or policy with the source attached

• Family offices, funds, and clinics handling sensitive documents where who-can-see-what is non-negotiable

What's not in scope

• Public-facing or customer-facing chatbot (this is an internal team assistant — external bots are scoped separately)

• Tool, model, or cloud subscriptions and licenses

• Legal advice, compliance certification, or any guarantee of regulatory approval

Common questions