Product 4 of 5 · Fixed price

AI Workflows. Repetitive work off your team, with a person in charge.

AI Workflows takes one repetitive job at a time off your team and gives it to AI that has a cost per run, a quality check and an off switch. AI prepares, drafts and checks; a person approves anything that gets sent. You can buy a single workflow, a blueprint for a go-to-market platform of your own, or the foundation of that platform, each at a fixed price.

from $7,500Owners, operations leaders and technology leaders at B2B companies whose teams lose hours to call notes, follow-up drafts, contract reading and routing.

Tell us what is going wrong See what is in the box

You might be saying

“My reps spend more time writing up calls than making them.”
“We turned on an AI feature and nobody can tell me what it costs or whether it is right.”
“I want one screen per customer and deal, and I want us to own it.”

What is in the box

3 sizes. Pick the one that fits.

One AI workflow

$8,000from, 4 to 6 weeks

One repetitive job is eating your team's time and you want it handled, measured and under your control before you commit to anything bigger.

One workflow, chosen with you: deal briefs (a short summary of the account and deal before a call), transcript extraction (pulling the facts and next steps out of a call recording's text), or contract OCR (reading text out of scanned contracts)
A meter: the cost of each run is recorded, so you can see what the workflow spends
A gate: a quality check the output has to pass, and an off switch you control
A person in the loop: the workflow prepares and drafts, and someone on your team approves anything that gets sent
Built on tools you already own, and yours to keep

Start with this

Platform blueprint

$7,500fixed, 4 weeks

You are thinking about your own go-to-market (GTM) platform, the system your sales and service teams work in, and want the plan on paper before anyone builds.

The architecture for your own GTM platform: which systems feed it, where the data lives and how the parts connect
A phased roadmap: what gets built first, what follows, and what each phase gives your team
Written so an owner can follow it and a technology leader can check it
A document you keep, whoever does the building

Start with this

Platform foundation

$30,000from, 8 weeks

You have decided to own the platform and want the base built properly, with something your reps use at the end of it.

Data mirror: your own copy of the data from each system, such as your CRM (customer relationship management system, where accounts and deals are recorded)
Auth: sign-in, so each person sees what they should
API: the interface other software uses to read and write the platform's data
The first workspace your reps use

Start with this

Add to any size

Team training and handover · Add it when you want your own team to run what we built without us: runbooks (written step-by-step instructions), recorded walkthroughs and live sessions.from $2,000

A fixed price, in writing

The prices here are starting points. You get one number in writing before any work starts.

30% waits for your test

Before kickoff we agree what done looks like. That part of the fee is due only when your test passes.

Yours to keep

Everything we build is in your accounts, with documentation your own team can run.

What you can point at when it is done

A workflow your team uses, with a recorded cost per run, a quality check and an off switch
A clear rule everyone can see: AI prepares and drafts, a named person approves anything that gets sent
At the platform sizes, an architecture and roadmap on paper, or a working foundation with the first workspace your reps use

What this does not cover

AI that sends messages, negotiates or makes commitments on its own. A person decides, speaks and sends.
Software licenses and AI model spend. Both are billed to you at cost, separate from the price shown.
The whole platform in one purchase. The blueprint is the plan and the foundation is the base; later phases are quoted separately.

How you buy it

Four steps, the same every time.

1Free auditWe look at where your team's time goes and what your current AI features cost and produce. You leave knowing which workflow, if any, is worth building first. Book it at [/contact/](/contact/).
2Fixed quote in writingYou get a written quote for the size you chose, with what is in the box and the acceptance test it has to pass. Part of the fee is held until that test, which is yours, passes.
3BuildWe build on the tools you already own. Each workflow gets its meter, its quality check and its off switch before your team relies on it, and nothing is sent without a person approving it.
4HandoverEverything built is yours to keep. We walk your team through how it runs, what it costs and how to switch it off; add team training and handover if you want runbooks, recordings and live sessions.

The detail, if you want it

The services behind this product, and a case study from the work.

How pricing works

AI Automation for Sales Teams

Deal briefs, call-transcript extraction, contract OCR, lead routing. Every model call costed and checked before anyone acts on it.

Learn more

Your Own AI GTM Platform

Your own sales platform on top of HubSpot, built with your engineer so you own it. No per-seat pricing, no vendor deciding your roadmap.

Learn more

AI automation

56% of spendin two workflows, re-tiered

Treating model spend like cost of goods

Read the case

Questions about this product

Will the AI send anything to our customers by itself?

No. AI prepares, drafts and checks. A person on your team reads the draft and approves anything that gets sent.

How do we know what it costs to run?

Every workflow is metered, so the cost of each run is recorded. Model spend is billed to you at cost. In one engagement, an audit of 157,000+ model calls a year found two workflows carried 56% of spend, and they were moved to smaller models with no quality drop the team could measure; see [the AI cost audit](/work/ai-cost-audit/).

What if the output looks fine but is wrong?

That is what the quality check and the off switch are for. In one engagement, an AI lead score that looked fine overall was no better than a coin flip on the deals reps actually triage, and it was cut back to three coarse bands; see [the AI lead score audit](/work/ai-lead-score-audit/). We would rather a workflow does less and can be trusted.

Do we need our own platform, or is one workflow enough?

Most teams should start with one workflow. A platform of your own, with one screen per customer and deal, makes sense when your data sits in several systems and your reps work across all of them. It is a larger commitment: in one engagement, a platform of 173 tables and 128 routes was built in 15 months; see [the AI revenue operations platform](/work/ai-revenue-operations-platform/).