02 · AI Implementation
AI Copilots
In-product assistants grounded in your customers' data — that ship, not demo.
Overview
What you get
Streaming chat surfaces, tool use, citations, refusal logic, and per-tenant scoping. We build copilots customers actually open more than once.
The problem
Why teams call us
- Internal copilot demos great, then dies in beta because answers can't be trusted.
- Customers ask the same 12 questions and your team writes the same 12 macros.
- Cost-per-conversation is unbounded; nobody owns the budget.
Approach
How we work
- Pick 1–2 surfaces with the strongest 'job to be done' signal.
- Build retrieval + answer schema before any UI work.
- Ship with citations and refusal logic from day one, not as v2.
- Instrument with per-tenant cost + grounding metrics in production.
Process
Week by week.
- 01 · Week 1–2
Scope & data
Pick surfaces, audit data sources, design answer schema.
- 02 · Week 3–5
Build
Retrieval, tool use, streaming UI, citation grounding.
- 03 · Week 6–7
Evaluate
Golden eval set, refusal precision tuning, red-team pass.
- 04 · Week 8–10
Ship & instrument
Per-tenant rollout, cost dashboards, on-call runbook.
- Live SaaS product with rich customer data
- Need an in-product chat or assistant surface
- Team that owns the codebase after handoff
- ChatGPT-wrapper for a marketing page
- Greenfield product with no users or data
- Org without anyone willing to own the surface post-launch
Deliverables
Everything we ship
- 01Streaming chat surface with tool-use orchestration
- 02Citation-grounded answer schemas
- 03Per-tenant retrieval scoping and isolation
- 04Refusal precision tuning + golden eval set
- 05Cost-per-conversation budgeting and dashboards
- 06Handoff package with runbooks and on-call guide
Outcomes
What you walk away with.
A copilot your customers actually use — with measurable wins on grounding, citation integrity, and cost per conversation.
Tooling
Stack we ship against
Model- and infra-agnostic. We adapt to your stack, not the other way around.
FAQ
Real questions, technically answered.
- Can the copilot take actions on behalf of the user?
- Yes — we add tool use with typed schemas and rollback paths. See the AI Agents engagement when actions dominate the workflow.
- Which LLM do you use?
- Whatever benchmarks best for your domain. We default to running 2 providers in parallel during evaluation.
- Do you handle the front-end too?
- Yes. We ship a production-grade React surface with streaming, citations, and accessible refusal states.
Related engagements
Often paired with.
04 · AI Implementation
RAG & Embedding
Production-grade retrieval — measured against your golden set before it ships.
06 · AI Implementation
AI Agents
Multi-step agents that finish the job — with traces, guardrails, and rollback.
09 · AI Infrastructure
Production Telemetry
When your AI gets worse, your team knows in minutes — not quarters.
Next step
Ready to scope AI Copilots?
Book a discovery call. We'll confirm fit, sequence the engagement, and have a Statement of Work in your inbox within a week.
Refundable if we're not a fitWritten diagnostic in 48 hoursSession run by a founder, not a sales rep