INITIALIZING CONNECTED SYSTEMS

INTELLIGENCE / IN MOTION

STARTUP SEQUENCE00%

Loading

← All SweTech Products

English hero board for the Daleel AI · SweTech Products illustrative design
SweTech Products · Illustrative image
SweTech Products · ST-AI-10204

Daleel AI

Private enterprise assistant over SOPs, policies, contracts and manuals.

LegalEnterprise Knowledge AgentUAE / GCC / International

AI stack: Arabic LLM + RAG + Knowledge Graph + Agents

Project details

Project idea

Private enterprise assistant over SOPs, policies, contracts and manuals.

Business need

Legal teams currently lose time to fragmented tools, manual review and slow decision cycles around enterprise knowledge agent.

Solution overview

Daleel AI is an AI-first enterprise knowledge agent product designed to private enterprise assistant over SOPs, policies, contracts and manuals.

Intended users

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.

Core workflow

The core workflow connects AI Chat, Suggested Questions, Knowledge Sources, Citations / Evidence with notifications, reports, audit history and role-based approvals.

AI capability

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, integrations and deployment

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 and user experience

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.

Security and observability

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 business value

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.