Services / build / automation
Internal AI Copilot
A Slack/Teams bot trained on your docs that actually answers questions.Done-for-you internal AI assistant. Lives in Slack or Teams, trained on your Notion/Google Drive/Confluence/codebase, cites sources, and gets better every week from feedback. Four weeks to ship, 30 days of tuning included.
price
from $9,500
timeline
4 weeks
cadence
one-time
scope
One-time / fixed scope
Where this fits in the services matrix.
Every service page now names the buyer state, the commercial shape, and the next route. That keeps the catalog navigable instead of feeling like disconnected offers.
Build automation with a fixed scope and written handoff.
from $9,500 · 4 weeks · One-time / fixed scope
Use the diagnostic or book a call to confirm fit before scope is written.
Not sure this is the right service? Run the route finder and get the matching path.
Bespoke architecture for AI Copilot.
An internal copilot has to fit the way the team actually works: knowledge, permissions, tools, adoption, and measurement.
copilot system
Surface ⇄ System
Internal copilot loop
The diagram is intentionally simplified: it shows the buying logic and operating path, not a decorative fantasy architecture.
price
from $9,500
timeline
4 weeks
boundary
role-aware
tools
approved
The outcome, not just the output.
- 01A working bot in your team chat by week 2
- 02Citations on every answer (no opaque hallucinations)
- 03Feedback buttons that improve answers over time
- 04Admin dashboard: top questions, gaps, accuracy trends
- 05Replaces the "where is X documented?" Slack noise
Concrete artifacts you keep — and what we leave out.
Working code, written docs, dashboards your team owns. We also list what this engagement deliberately does not cover, so scope is honest before you click.
- Slack or Teams app (your choice)
- Connectors to your knowledge sources (Notion + Google Drive + Confluence + GitHub)
- Citation-first answer format (every claim links to source)
- Thumbs-up/down feedback loop wired to evals
- Admin dashboard: usage, top queries, gap report
- Auth + per-user permissions (only see what you can read)
- 30 days of post-launch tuning
- Customer-facing chat (see Support Deflection Layer)
- Building knowledge from scratch (we connect what exists)
How the engagement actually runs.
- 1Week 1
Connect + ingest
Hook up Notion/Drive/Confluence/GitHub. Build ingestion + permission-aware indexing. First eval pass.
ConnectorsPermission scopingInitial index - 2Week 2
Bot + citations
Slack/Teams app, citation-first answer format, feedback buttons. Internal beta with your team.
Bot deployedBeta access for ~10 users - 3Week 3
Admin + analytics
Admin dashboard, gap report, top-query analytics. Tune retrieval based on real beta queries.
DashboardTuning round 1 - 4Week 4
Launch + tuning
Full team rollout, training session, 30 days of tuning + content gap fills.
Production launchTraining Loom30-day tuning plan
Receipts, not promises.
- 4 weeks
- Time to live in Slack
- 60%+
- Typical "answered" rate
- on internal queries
- < 3s
- Median response latency
Common questions.
01How does it respect document permissions?
02Where does the data live?
03Which LLM provider?
Ready to start AI Copilot?
A 30-minute call to confirm fit, scope, and timeline. No pressure, no slides.
automation system
From offer to operating system.
Internal AI Copilot is presented as a real engagement, not a generic service page: the surface, backend shape, delivery artifacts, and conversion path are all visible before the first call.
Scope AI Copilotprice
from $9,500
timeline
4 weeks
tier
A
Living architecture
Scope ⇄ Ship
The page now exposes how the engagement moves from buyer pain to production artifact, then into measurement and next-step routing.
Scope AI Copilot- 01Connect + ingestHook up Notion/Drive/Confluence/GitHub. Build ingestion + permission-aware indexing. First eval pass.
- 02Bot + citationsSlack/Teams app, citation-first answer format, feedback buttons. Internal beta with your team.
- 03Admin + analyticsAdmin dashboard, gap report, top-query analytics. Tune retrieval based on real beta queries.
- 04Launch + tuningFull team rollout, training session, 30 days of tuning + content gap fills.
Conversion path
Surface ⇄ System
01
Diagnose
Confirm the real automation constraint, current surface, and business goal before writing code.
02
Design the system
Turn the offer into screens, data, workflows, ownership boundaries, and a measurable delivery plan.
03
Ship the artifact
Deliver AI Copilot as working code, docs, dashboards, or launch assets your team can actually use.
04
Route the next move
Decide whether the work becomes a one-time delivery, a care plan, or a larger product build.
Proof assets
Real only
Asset slot
Service proof visual
Add a real screenshot, deliverable preview, or dashboard capture from a shipped engagement when approved.
Verified asset
Founder/operator photo
Real founder photo reinforcing principal-led delivery.
Asset slot
Client quote or logo
Add only permissioned testimonials or logos tied to this service category.