Project idea
Private enterprise assistant over SOPs, policies, contracts and manuals.
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Private enterprise assistant over SOPs, policies, contracts and manuals.
AI stack: Arabic LLM + RAG + Knowledge Graph + Agents
Private enterprise assistant over SOPs, policies, contracts and manuals.
Legal teams currently lose time to fragmented tools, manual review and slow decision cycles around enterprise knowledge agent.
Daleel AI is an AI-first enterprise knowledge agent product designed to private enterprise assistant over SOPs, policies, contracts and manuals.
Operational users, supervisors, managers and enterprise administrators Primary users are Operational users, supervisors, managers and enterprise administrators; secondary stakeholders include supervisors, auditors, administrators and decision makers.
The core workflow connects AI Chat, Suggested Questions, Knowledge Sources, Citations / Evidence with notifications, reports, audit history and role-based approvals.
Arabic LLM + RAG + Knowledge Graph + Agents AI is used through Arabic LLM + RAG + Knowledge Graph + Agents to turn raw operational input into findings, explanations, recommendations and executable workflow steps. Multi-step planning, tool use, task delegation and human approval. Not core; camera input may support evidence capture only.
Data layer combines User input, enterprise systems, operational records, approved knowledge sources; analytics surface trends, exceptions, confidence, workload and operational performance. Integrations: REST APIs, SSO, notifications, reporting/export. Keep integration states visible with sync status, source attribution and audit history. On-premises, private cloud or hybrid; edge deployment where latency/privacy requires it
Arabic-first / bilingual RTL required; use clear Arabic labels, RTL navigation, bilingual data fields and culturally neutral contemporary design. UX should prioritize a light premium interface, fast task entry, clear AI evidence, readable cards, realistic maps/charts and responsive mobile/web layouts.
RBAC, audit trail, encryption, data minimization, tenant isolation, human approval for sensitive actions Model telemetry, prompt/run logs, latency, cost, confidence/quality metrics, user feedback
Expected value: Reduce manual work, accelerate decisions, improve traceability and create measurable operational intelligence. Success is measured with Adoption %, task completion time, AI acceptance rate, exception rate, response time, accuracy/precision where applicable.
Illustrative design and folder setup only. Screens, architectures, and prompts in this package are proposed planning material; final visuals and technical behavior still require review. Do not present this illustrative material as a real client deployment. This page presents illustrative material, not a confirmed client deployment or a performance guarantee. Validate scope, data access, privacy, security and model behavior before implementation.