For B2B operators · 10–100 person teams

AI that survives the next quarter.

Book a 15-minute call. Tell us how your business runs and what's stuck. We workshop the one move that unlocks the next quarter — you leave with the workflow worth starting first.

Diagnostic
15 minutes
One next move
Workflows we build

AI that pays back, by department.

Six workflows we keep getting hired to build inside operations-heavy B2B teams between 10 and 100 people. Each one runs after we leave.

Marketing Customer and competitor research that updates as new data lands. Campaign automation across channels. Analysis loops that surface the next test.
eCommerce Inventory and SKU tracking that catches gaps before customers do. Product and customer research feeding the next launch. The catalog stays current.
M&A Deal data piped into pre-formatted negotiation tables and partner-meeting decks. Diligence templates that auto-fill from the data room.
Sales Continuous prospecting with profile enrichment baked in. Outreach with feedback loops on what's landing. Built to grow without proportionate headcount.
HR Recruitment with candidate analysis built in — screening, enrichment, role-fit scoring. Performance metrics tracked across the team, patterns surfaced early.
Customer support Tickets routed by signal — sentiment, severity, customer tier. Common issues resolved at first touch. Edge cases escalated with full context attached.
“I’d be willing to purchase the enterprise [AI] accounts if I actually thought people here would make good use of it, but I think only a small few are interested in trying.”
Owner of a global HR assessments company
How we work

Educate. Design. Audit.

Three layers, in order. The framework sits below the proof — it's the explanation for why the work works, once you've seen that it does.

Layer 01

Educate

We teach your team how to think about AI — what it can do, what it can't, and when to be wary. The ground rules for a real thinking shift.

Layer 02

Design

We go deep into how your business runs and find the workflows that genuinely benefit from AI — and will still hold up next quarter. Nothing that goes obsolete every week.

Layer 03

Audit

We verify what's working, write the one-page audit, and hand the system off so your team owns it. Plus HITL checkpoints, phantom-and-rogue inventory, and accountability gaps closed.

How we work with you

Three paths. Same destination.

The judgment is always ours to contribute. What changes is how much we transfer to your team, and how fast.

01

Do it for you

We apply the judgment and build it. You name the outcome — we map the workflows, design the system, and install it. Your team stays in the loop throughout.

Full service · 3 months
02

Do it with you

We transfer the judgment through education. We work alongside your team — running sessions, building together, and making the thinking yours.

Collaborative · 6 months
03

Do it yourself

Our resources let you apply the judgment independently. Tools, guides, and frameworks for teams that want to move at their own pace.

In development

A few hours of work. One page your CISO will read.

Layer 03 in flight. We name what's running, surface the gaps, and write the retire list. The terminal on the right is a sample of the kind of output that comes out.

Phantom agents. Named, with an owner penciled in.
HITL gaps. Where a human checkpoint is overdue.
Compliance touches. Agents brushing customer or financial data.
Retire list. What goes off before the next quarter.
vanilla-labs · audit
$ vanilla audit start --workspace=acme scanning workflows... 11 active AI surfaces detected ! 2 phantom agents (no owner, no users in 30d) ! 3 missing HITL checkpoints (refunds, payouts, onboarding) 1 compliance gap (refunds — SOC2 boundary) audit complete · 7 issues · 1 page output

A sharper next move.

The first call is a diagnostic. We identify what is real, what is noise, and where the first useful workflow should start. You leave the call with one move worth making this quarter.

01

Where AI is already running inside your business — officially and unofficially.

02

Which workflow has enough pain, ownership, and repeatability to be worth touching first.

03

What to retire, what to keep, and what needs a human checkpoint before it creates risk.

What we've seen
We know the dangers of agent drift, AI slop, and poor practices. Learn from teams who have done it before.
Book a 15-minute AI triage ↗ Read the case studies →