AI Engineering
AI in production, inside the systems you already run.
We embed senior engineers with your team and ship workflow AI — quoting, scheduling, billing, delivery — measured on a number you already track.
Fixed price · no retainers · you own the code
The bottleneck
Your growth is gated by manual operations.
Your best estimator's knowledge lives in their head. Your pricing logic lives in spreadsheets. Your job history lives in six systems. Every quote, schedule, and invoice waits in a queue for the one person who knows how.
That's not a tooling problem — buying licenses doesn't fix it. It's an engineering problem: the knowledge and the logic need to become a system your whole team uses, with your experts approving every output until the accuracy data says they don't have to.
AI Quoting Accelerator
- Scope
- One quoting workflow end to end: intake → historical job retrieval → draft quote with your pricing logic → human approval → ERP/CRM write-back
- Timeline
- 6–8 weeks to production pilot
- Price
- Fixed, $100K–$250K depending on workflow complexity
- Success metric
- A time-to-quote target, agreed up front, in writing
Where it goes next: quoting → order entry → invoicing → full quote-to-cash.
See the Quoting Accelerator →How it runs
Embed. Ship. Measure.
Embed
Senior engineers join your team — your repos, your stack, your security model.
Ship
Production in weeks, not quarters. Human-in-the-loop until the accuracy data says otherwise.
Measure
Success is a number you already track — cycle time, win rate, hours saved — agreed up front.
AI drafts. Your expert approves.
Accuracy is measured and ratcheted before anything goes autonomous —
and autonomy is something you choose later, not something we impose.
Fair questions
The objections, answered straight.
"Shouldn't we just buy a CPQ tool?"
If your pricing fits their box, yes — buy it. If your quoting depends on proprietary logic, historical jobs, or messy ERP data, you'll spend more bending the tool than building the right thing.
"Is AI accurate enough for pricing?"
Alone, no. We ship human-in-the-loop first: AI drafts, your expert approves. Accuracy is measured and ratcheted before anything goes autonomous.
"Our data is a mess. Aren't we not ready?"
Readiness is a consulting myth that sells assessments. We start with one workflow, clean only the data that workflow needs, and prove value in weeks.
"A big firm pitched us the same thing."
Ask them who writes the code, what it costs, and when it ships. Then ask us.
Anthropic Partner Network member
We run on what we sell — our own ops are AI-native
Blended US/LATAM senior squads, priced for the mid-market
Tell us which workflow is the bottleneck.
We'll tell you if AI can fix it — and what it can't do yet.