Enterprise AI & Agentic Systems
Tripling assessment capacity with agents
An enterprise organization
3x
assessment capacity
Thousands
LLM queries handled daily
01 / Challenge
The problem.
The company had AI experiments but nothing it could run across the enterprise. It wanted agentic copilots for complex workflows, LLM tools inside its existing business applications, and a platform that could iterate fast without giving up governance.
02 / Approach
How we built it.
We designed and built a multi-agent platform from the ground up. Copilots, LLM orchestration, and retrieval pipelines do the work, with automated evaluation to measure accuracy and support auditability.
03 / What we built
The system.
01
Multi-agent AI platform
02
Agentic copilots for internal operations
03
LLM orchestration for natural language interfaces
04
Retrieval-augmented generation over domain knowledge
05
Automated evaluation frameworks
04 / Outcomes
What changed.
Agents now run workflows that used to need dedicated teams
Manual effort fell as capacity grew
Accuracy improved measurably with each iteration