What's included
faster
document search
What's included
The problem with knowledge locked in documents
Answers live across contracts, wikis, and old email threads. Staff burn hours searching for something someone already wrote, or redo work that already exists.
We build a private copilot that retrieves from your actual documents and cites its source, so answers are grounded instead of guessed.
Deliverables
What's included
Strategy
Architectural alignment before implementation.
- Knowledge source audit
- Success criteria definition
- Access & security review
Build
Controlled deployment of automation infrastructure.
- Document indexing (RAG)
- Copilot interface
- QA against real queries
Handoff
Operational enablement and system ownership transfer.
- Technical documentation
- Team training
- Content update runbook
Support
Ongoing performance governance and system optimization.
- Retrieval monitoring
- Reindexing cycles
- Performance adjustments
How we work
A process built for results
Clear milestones, constant communication, and zero hand-waving. Here’s how we get from idea to impact.
Discovery & Success Criteria
We map your current workflows, identify bottlenecks, and define clear metrics for success.
Map Workflows + Data Access
We document every step, identify bottlenecks, and determine what data and systems need to connect. No surprises down the road.
Build + Test + Security Review
We build incrementally, test thoroughly, and review security at every stage. You see progress weekly and can give feedback early.
Launch + Monitor + Iterate
Go live confidently. We monitor performance, catch issues, and optimize based on data.
AI agents & internal tools examples
See what's possible
Real scenarios we’ve automated for teams like yours
Internal Search
- Answer in seconds, not a search.
Contract Q&A
- No more re-reading full contracts.
Proposal Drafting
- First draft in minutes.
What clients say
FAQ
Common questions
Everything you need to know before we start working together.
What is a RAG copilot, in plain terms?
It’s a private assistant that searches your actual documents before answering, then cites where the answer came from, instead of relying on general training data.
Does it make things up?
It answers from your indexed documents. If it can’t find a grounded answer, it says so instead of guessing.
Where does our data live?
In your own environment or a private instance, depending on your setup. We review access and security before anything is indexed.
What can it be trained on?
Contracts, wikis, past proposals, email threads, tickets, and most internal documents your team already has.
How much does a copilot cost to build?
Pricing depends on the number of document sources and access controls needed. You’ll get a scoped number after the discovery call.
How long does it take to launch?
A single-source copilot can launch in 6 to 8 weeks. Multi-system copilots with access controls take longer.
Can different teams see different documents?
Yes. Access controls are matched to your org structure, so a copilot only surfaces what a given user is allowed to see.
Does it stay current as documents change?
Yes. We set up reindexing cycles so new and updated documents get picked up without a manual rebuild.