Artificial Intelligence
AI Business Assistant
A retrieval-grounded assistant that answers operational questions, drafts documents and executes approved workflows across a company's internal systems.
Client
Orbit Operations
Industry
Enterprise Operations
Year
2025
Duration
7 months
Business Challenge
Institutional knowledge was scattered across a wiki, shared drives and years of tickets. New staff took months to become productive and specialists spent their days answering the same questions.
Our Solution
We built a permission-aware retrieval layer over the company's systems, grounded every answer in cited sources, and added a tool layer so the assistant can act, not just answer.
Engineering
Technology Stack
Chosen for longevity and operational simplicity, not novelty — every dependency here is one we still support today.
6
Core technologies
7 months
Build duration
2025
Delivered
Inside the build
Project Features
Permission-aware retrieval
The assistant can only surface what the asking user is already allowed to see.
Cited answers
Every response links the exact source passages it was grounded in.
Workflow actions
Approved tools let it raise tickets, draft documents and update records.
Evaluation harness
A regression suite scores answer quality on every model or prompt change.
Feedback loop
Thumbs and corrections feed a review queue that improves retrieval quality.
Usage governance
Per-team cost, latency and escalation reporting for platform owners.
Development Process
Analysed six months of internal questions to find the highest-volume intents.
Content ingested, chunked and permission-tagged before any model work started.
A conversational surface that always shows its sources and its uncertainty.
Model-agnostic gateway so providers can be swapped without touching product code.
Golden question set graded by internal experts each release.
Department-by-department launch with clear guidance on appropriate use.
The Results
Routine internal questions are now resolved instantly with citations, freeing specialists for genuinely complex work.
72%
Questions self-served
1.9s
Median response
96%
Citation accuracy
40%
Faster onboarding
