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Assistants · automation · tooling

Useful automation with adult supervision

Copilots, retrieval, and workflows that respect data boundaries—evals, fallbacks, and human handoffs wired in from sprint one.

Policy + prompt layering
Guardrails first
Regression suites on tasks
Eval loops
Hours routed to judgement work
Observed savings

Structured delivery · measurable checkpoints · pragmatic craft

Deliverables

What lands in your repo and roadmap

Tangible artifacts—not decks that age on a shared drive. Each block maps to work you can review and ship.

01

Use-case mining

Where repetition burns time—and where humans must stay sovereign.

02

Data contracts

Indexing, masking, TTLs—documents that infra and legal can nod at.

03

Tool & API orchestration

Function calling wired to audited actions, not improvisation.

04

Feedback capture

Thumbs, edits, escalation paths—signals that improve retrieval.

05

Monitoring

Latency, hallucination flags, refusal reasons—signals you watch weekly.

06

Runbooks

Incident steps your on-call understands without a model PhD.

Process

How we run the engagement

A rhythm you can plan around—transparent phases, visible outputs, and decision points that stay yours.

01

Triage workloads

We separate hallucination-sensitive tasks from deterministic wins.

02

Prototype in shadow

Side-by-side with humans until quality bars clear the business.

03

Harden integrations

AuthZ, quotas, backoff—integrations that behave under load.

04

Scale & teach

Enablement kits so your squad extends flows without us in the loop.

Outcomes

Proof we optimize for

Not vanity—signals your leadership team can recognize: velocity, clarity, and revenue-adjacent movement.

  • Operators spend time on exceptions, not copy-paste
  • Clear ownership when models misfire—no mystery outages
  • Roadmap for adding tools without redesigning the stack monthly

FAQ

Straight answers

Do we need a vector database on day one?

Not always—simple retrieval + hygiene sometimes wins. We size storage to risk, not buzzwords.

How do you handle sensitive data?

Region pinning, redaction, retention policies, and least-privilege keys—documented and testable.

What about vendor lock-in?

Abstraction at the orchestration layer so models and hosts can shift without rewriting business logic.

Can this sit beside legacy systems?

Yes—message buses, nightly syncs, or thin APIs; we meet the system where it is today.

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Adjacent capabilities

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Ready to pressure-test this scope?

Send a brief—timeline, budget band, and links. We reply with a candid fit check and next steps.