ALL SPECS / SPEC B.2

AI agents on your pipeline

For work that needs judgment but not a meeting. Agents that read, draft, route, and triage on your pipeline — with a person approving before anything customer-facing fires.

IN PLAIN WORDS — SOFTWARE DRAFTS THE ROUTINE REPLIES; YOUR PEOPLE APPROVE AND SEND.

SPEC B.2AUTOMATION & AI

PIECE B

Everything on the ticket, in writing

SPEC B.2 — DELIVERABLES

FIXED SCOPE — WRITTEN PROPOSAL

B.2.1

Scoped to one job

An agent that triages tickets or drafts follow-ups — not a do-everything bot that does nothing well.

B.2.2

Human approval built in

Nothing reaches a customer without sign-off, until the approval log shows it's earned autonomy.

B.2.3

On your data and rules

Grounded in your pipeline, your tone, and your policies — not generic internet answers.

B.2.4

Measured, or removed

Every agent gets a success measure. If it doesn't earn its keep, it comes back out cleanly.

Four steps, all visible

You see real work at every step — nothing disappears into a studio and comes back as a reveal.

01

Pick the job

One high-volume, judgment-light task where a good draft saves real hours every week.

02

Ground it

Connected to the systems and context it needs to be right — and nothing it doesn't.

03

Run supervised

The agent drafts, your team approves. We tune on the misses until the drafts are boring.

04

Graduate carefully

Autonomy expands only where the approval log shows it's ready — and it's reversible.

It's for you if…

And if none of these sound like you, we'll say so on the call — a wrong-fit project costs us more than it costs you.

  • Your team spends hours on replies that are 80% the same
  • Requests pile up unsorted in one shared inbox
  • You want AI working the pipeline — without AI talking to customers unsupervised
  • You've tried a chatbot that made things up, and once was enough

Tell us what your team still does by hand.

Thirty minutes. You'll leave knowing what we'd build, what it would cost, and whether it's worth doing at all.

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