46% Reduction in Routine Queries and 37% Faster Decision Turnaround
Through an AI agent ecosystem and central orchestration platform for a diversified conglomerate.
Client Overview
A large Middle East–based conglomerate operating across retail, automotive, real estate, and services, with shared corporate functions supporting multiple business units. The group manages complex operations with high volumes of structured and unstructured data across HR, Finance, Legal, and commercial teams.
Business Challenge
Context & Challenges
As the group scaled across industries and geographies, knowledge and decision-making became increasingly fragmented. While data platforms and enterprise systems existed, business users still relied heavily on:
- Manual searches across documents, policies, contracts, and reports
- Repetitive queries routed through central teams (HR, Finance, Legal)
- Siloed insights across business units and functions
Leadership recognized that traditional dashboards alone would not solve the problem. They required a next-generation AI-led operating model that could democratize knowledge, reduce dependency on shared services, and enable faster, governed decisions at scale.
AI Strategy & Agent-Led Transformation by DataPhi
DataPhi partnered with the group to define and implement an enterprise Data & AI roadmap, followed by the rollout of a multi-agent AI ecosystem designed around real business workflows.
Data & AI Roadmap
Assessed data maturity, operating model, and AI readiness across business units
Defined priority AI use cases aligned to functional efficiency, risk reduction, and scalability
Designed a phased roadmap covering data foundations, AI agents, governance,
and adoption
Domain-Specific Knowledge Agents
DataPhi designed and deployed AI Knowledge Agents, each grounded in governed enterprise data and documents:
HR Agent
1. Answered policy, benefits, leave, and organizational queries
2. Reduced dependency on HR teams for repetitive requests
Finance Agent
1. Enabled instant access to financial policies, budget guidelines, and management reports
2. Supported faster interpretation of financial data without manual analysis
Legal Agent
1. Provided guided access to contracts, templates, compliance policies, and legal precedents
2. Reduced turnaround time for routine legal clarifications
Reduced turnaround time for routine legal clarifications
To ensure control, scalability, and governance, DataPhi built an Agent Orchestrator Platform that:
- Managed multiple AI agents through a single interface
- Routed complex user requests across multiple agents seamlessly
- Enforced role-based access, data permissions, and governance policies
- Provided auditability, usage monitoring, and centralized control over AI behavior
This ensured AI adoption without compromising security, compliance, or accountability.
Business Impact & ROI
46% reduction in time spent on routine HR, Finance, and Legal queries, 46% reduction in time spent on routine HR, Finance, and Legal queries,
37% faster decision turnaround for cross-functional queries through agent-to-agent orchestration instead of manual coordination
Why it Matters
For a diversified conglomerate, scale introduces complexity. This engagement enabled the group to move from siloed knowledge and manual coordination to a governed AI-powered operating model, where intelligent agents work together under centralized control — delivering speed, consistency, and confidence in decision-making.