How does it respect document permissions?

On every query we re-fetch the user's read scope from the source system. If you can't open the doc in Notion, the bot won't cite it to you.

Where does the data live?

Your cloud — typically your existing AWS/GCP account. We deploy via Terraform and hand off the keys.

You pick: OpenAI, Anthropic, or self-hosted. We benchmark all three on your corpus before recommending.

Services·automation

One-time engagement

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.

from $9,500

4 weeks

SlackMicrosoft TeamsNotionGoogle DriveConfluenceGitHub

Talk to Sage Have a question first?

Deliverables

Concrete artifacts you keep.

Every line below ships during the engagement. No “TBDs”, no slide-deck hand-waving — working code, written docs, and dashboards your team owns.

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)

What you walk away with

The outcome, not just the output.

A working bot in your team chat by week 2
Citations on every answer (no opaque hallucinations)
Feedback buttons that improve answers over time
Admin dashboard: top questions, gaps, accuracy trends
Replaces the "where is X documented?" Slack noise

Timeline

How the engagement runs.

1Week 1

Connect + ingest

Hook up Notion/Drive/Confluence/GitHub. Build ingestion + permission-aware indexing. First eval pass.

2Week 2

Bot + citations

Slack/Teams app, citation-first answer format, feedback buttons. Internal beta with your team.

3Week 3

Admin + analytics

Admin dashboard, gap report, top-query analytics. Tune retrieval based on real beta queries.

4Week 4

Launch + tuning

Full team rollout, training session, 30 days of tuning + content gap fills.

Sample deliverables

See the artifact, not the marketing.

Real shape, redacted content. Pick a tab to preview what ships.

Sample Audit Report

Twelve-page audit excerpt: scope, methodology, findings ranked by impact, and a prioritized fix list. Redacted.

Request after intro call

Sample provided after intro call · ask sage@sageideas.dev

How we reduce risk

Money-back if you're not happy in week 1

Reset the engagement before momentum builds. No invoices to dispute, no awkward email.

Async-first, weekly demos, no surprises

You see exactly what shipped each week. No status meetings to attend, no reports to chase.

Code is yours from day 1 — no lock-in

Your repo, your infra, your accounts. We work in your stack. You can take the work in-house at any time.

“Cut our flake rate from 12% to 0.4% in three weeks. The eval suite caught two regressions on day one of running in CI.”

Engineering LeadHead of Platform · Series B SaaS · 60 engineers

FAQ

Common questions

How does it respect document permissions?: On every query we re-fetch the user's read scope from the source system. If you can't open the doc in Notion, the bot won't cite it to you.
Where does the data live?: Your cloud — typically your existing AWS/GCP account. We deploy via Terraform and hand off the keys.
Which LLM provider?: You pick: OpenAI, Anthropic, or self-hosted. We benchmark all three on your corpus before recommending.

Ready to scope AI Copilot?

A 30-minute call to confirm fit, scope, and timeline. No pressure, no slides.

Talk to Sage All services

Average reply: 3 hours, business days