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Four services. Each one ends in something running in production.

We resist the urge to be a full-service shop. Every engagement we take maps to one of the four below. If your problem doesn’t fit, we’ll say so on the first call and point you somewhere honest.

01 / SERVICE

AI workflow automation

Most companies don’t need a custom model — they need the email, the spreadsheet, the CRM, and the accounting system to stop being five separate jobs for the same person. We wire them together with LLMs in the seams.

Best for

Quote-to-cash, intake triage, invoice processing, report generation, scheduling.

Typical scope

1–5 workflows over a quarter. Lives in your existing stack.

What you get

  • End-to-end automation in production
  • Dashboard for hours-saved + error rate
  • Approval flows in Slack or Teams
  • Full audit log with rollback

Tools we like

  • n8n, Temporal, Inngest for orchestration
  • OpenAI / Anthropic / Bedrock for inference
  • Supabase / Postgres for state
  • Slack, Teams, Linear for surfacing
Sample workflow · quote intake
gmail · new RFQ received 09:14
llm · extract line items (14 found) +1s
pricing.lookup · customer tier Gold +2s
quickbooks · estimate #4471 drafted +5s
slack · awaiting Sarah’s approval +6s
email · send to customer pending
02 / SERVICE

Custom AI agents

Purpose-built copilots that live inside the tools your team already uses. Not a chatbot widget. Not chat-with-PDF. Agents that take action with guardrails and report back to a human.

Best for

Sales SDRs, support tier-1, ops research, internal search, document drafting.

Typical scope

One agent, 6–10 weeks. Evals before launch, monitoring after.

What you get

  • Agent embedded in Slack / Linear / your app
  • Eval harness (you’ll own it)
  • Cost & latency dashboards
  • Human-in-the-loop by default

What we won’t build

  • Replace-your-team agents (we don’t believe in them)
  • Anything with hallucinations in the critical path
  • Black-box decisions on regulated workflows
Sample agent · sales research
linear ticket · “research Acme” assigned 10:02
web · 47 sources scanned +22s
crm · enriched 3 contacts +34s
notion · brief drafted (1.4k words) +48s
slack · 4 follow-ups proposed +50s
03 / SERVICE

Data plumbing & RAG

The unsexy work that makes the sexy work possible. Clean ingest pipelines, hybrid search (vector + keyword), and a knowledge base your team actually trusts because it’s fresh and the citations check out.

Best for

Knowledge bases, customer support, sales enablement, internal search.

Typical scope

4–8 weeks. Includes ingest, retrieval, evals, and a query UI.

What you get

  • Ingest pipeline (any source, scheduled)
  • Hybrid retrieval (vector + BM25)
  • Permission & PII handling
  • Freshness monitor + retrieval evals

Where we draw the line

  • We won’t ingest something we can’t cite
  • We won’t hand-wave evals
  • We won’t lock you into our vector DB
Sample pipeline · support KB
notion · 2,431 pages ingested nightly
zendesk · 14,109 tickets indexed hourly
pdf · 380 docs · OCR clean on push
retrieval eval · 94.2% recall@5 passing
freshness · 12 stale docs flagged review
04 / SERVICE

Fractional AI lead

On retainer when you don’t need a full hire. We sit in your standups, own the roadmap, write production code in your repo, and quietly upskill your engineers until you don’t need us.

Best for

Teams with engineering but no in-house AI/ML experience. Series A–C, 20–200 people.

Typical scope

~16 hrs/week, 3-month minimum, cancel any time after.

What you get

  • Quarterly roadmap + execution
  • Code in your repo, PRs reviewed by your team
  • Vendor & model selection
  • Hiring help when you’re ready

What we’re not

  • Not staff augmentation
  • Not a body-shop with rotating consultants
  • One named senior the whole engagement
A typical week
mon · standup + planning 1h
tue · build + PR review 4h
wed · office hours w/ team 2h
thu · build 4h
fri · demo + roadmap update 2h
slack · async, all week 3h
Let’s ride

Twenty minutes. One call.
Walk away with a plan either way.

We’ll look at one workflow you hate, sketch what an automation would look like, and tell you straight if it’s worth doing. No deck. No follow-up sequence.