Illustrative architecture / 01Private Enterprise Knowledge Environment
A permission-aware knowledge layer that answers from approved internal sources with citations and role controls.
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Inputs: Approved document repositories, source owners and the organisation’s identity and access rules.
Flow: Ingest and index → apply user permissions → retrieve supporting passages → prepare a source-linked answer.
Controls: Document entitlements, version freshness, citation support and a clear “not enough information” path.
Evaluation: Test known questions, conflicting versions, deleted documents and users with different access rights.
Discuss this architecture Governed Agentic Operations Layer
Agents coordinate approved tasks across systems, request human approval for material actions and maintain an audit trail.
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Inputs: A bounded task, the current business record and a small set of explicitly permitted tools.
Flow: Receive a task → retrieve context → propose an action → request approval where required → execute and record.
Controls: Server-side authorisation, argument validation, approval gates, duplicate prevention and an exception queue.
Evaluation: Test unavailable tools, misleading input, repeated requests and approval after a record has changed.
Discuss this architecture Executive Decision Intelligence Platform
A controlled view of operational signals, documents and exceptions designed for better executive attention.
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Inputs: Selected operational records, reports and open exceptions from agreed systems of record.
Flow: Collect source signals → reconcile and label freshness → identify exceptions → prepare a reviewable management view.
Controls: Data lineage, source timestamps, access separation and human judgement over the interpretation.
Evaluation: Check stale sources, conflicting figures and missing inputs; distinguish a source fact from a generated summary.
Discuss this architecture AI Sales & Service System for a UAE SME
Customer enquiries, CRM workflows and follow-up work together so promising conversations are not lost.
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Inputs: Customer enquiries, approved service information, qualification rules and the existing CRM.
Flow: Capture an enquiry → identify missing details → prepare a response → obtain approval → update the record and follow-up.
Controls: Verified service information, consent requirements where relevant, review of commercial commitments and manual escalation.
Evaluation: Test incomplete requests, duplicate contacts, unsupported services and a CRM connection failure.
Discuss this architecture Document Intelligence for Professional Services
Documents are classified, compared and prepared for review while professional judgement remains central.
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Inputs: An authorised document collection, a defined extraction or drafting task and approved working templates.
Flow: Classify and extract → link fields to source passages → flag uncertainty → prepare a draft → professional review.
Controls: Confidentiality boundaries, original-source preservation, document version tracking and a qualified reviewer.
Evaluation: Check scans, missing pages, ambiguous fields and conflicting versions; measure the reviewer’s correction work.
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