Illinois · Applied AI
AI knowledge base in Chicago
AI knowledge base designed around the way a Chicago team actually runs.
What AI knowledge base actually does
Your team's tribal knowledge, finally searchable. Upload your SOPs, training videos, past emails, and Slack threads – your team asks questions and gets answers with citations.
The reason we take on work in Chicago is that the businesses here tend to be sharper about what they want than the brief lets on. AI knowledge base for a Chicago team almost always ends up looking different to AI knowledge base for a downtown Auckland one.
- 01 Ingests PDFs, Word docs, videos, Slack, Notion, Drive
- 02 Answers with citations back to source documents
- 03 Permission-aware – staff only see what they should
- 04 Detects stale docs and prompts owners to update
Built on: Claude Pinecone Vercel AI SDK Postgres MCP
Why Chicago businesses choose this
Chicago runs on logistics, manufacturing, finance and a genuinely diverse industrial base – AI here means fitting into operations that were already running lean before AI existed.
The pattern across Chicago engagements we've shipped.
A major freight and logistics hub, a deep manufacturing base, and a futures and options trading industry with zero patience for anything slow. Chicago businesses want AI that respects an operation that already runs tight.
We work with teams across Chicago: The Loop · River North · Wicker Park · Lincoln Park · Evanston · Naperville.
How we build AI knowledge base for a Chicago team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Chicago business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
Internal AI knowledge base.
The outcome for Chicago teams
New staff get to productive 3x faster – less senior-team interruption. For Chicago teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.
New staff get to productive 3x faster – less senior-team interruption.
AI knowledge base in Chicago – common questions
How fast could we have AI knowledge base in production?
Eight to ten weeks for most Chicago businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Chicago businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Do you have proof this works for Chicago businesses?
Direct case study: New staff get to productive 3x faster – less senior-team interruption. Happy to walk you through full numbers on a call.
What if our Chicago doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For AI knowledge base specifically, we typically run that work on Claude, Pinecone, Vercel AI SDK, Postgres, MCP and assume messy starting conditions from day one.
Sketch this with us.
We'll map your real workflow before quoting anything.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.