AI systems specified, built, and shipped.
Vague AI ambitions become scoped engineering work — defined inputs, defined outputs, measured results.
- Input
- PDF invoices from shared inbox
- Output
- Structured line items → ERP
- Target
- ≥ 98% field-level accuracy
- Checkpoint
- Human review below confidence threshold
- Cost
- Priced per milestone, approved up front
What we do
Three ways in. Each one ends with something concrete in your hands — a roadmap, a running workflow, or a system your team operates.
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01
AI strategy & roadmapping
A short, fixed-fee assessment: where AI produces return in your business, what it costs, and what to build first. Delivered as a ranked roadmap with data requirements per item.
3–4 weeks · Fixed fee -
02
Process automation
Intake, document processing, scheduling, reporting. We automate high-volume workflows with human checkpoints where accuracy matters, and audit logs on every action.
Scoped per milestone -
03
Data & ML engineering
Pipelines, warehousing, and models on infrastructure you own. Data foundations first; models sized to the problem, not the hype cycle.
Runs without us
How an engagement runs
Four stages, each with a written deliverable and a decision point. Nothing gets built until you've approved the spec and the price.
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Diagnose
Workflow mapping, data audit, and a findings memo that quantifies where time and money leak.
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Specify
A written spec per system: inputs, outputs, accuracy targets, cost. You approve before we build.
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Build
Milestone-priced development with a working demo every Friday. Stop at any milestone.
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Transfer
Docs, training, handover. Your team runs it; we stay on retainer only if you want us.
Direct answers
Something we didn't cover? Ask us directly — you'll get a straight reply.
Do we need in-house data scientists?
No. Systems are built for your existing team to operate, with training included in handover.
What does it cost?
Assessments are fixed-fee. Build work is priced per milestone, approved by you before work begins.
Who owns the work?
You do — code, models, and documentation land in your repositories and accounts. No lock-in.
What happens to our data?
It stays in your environment. We work in your cloud under NDA; nothing trains third-party models without written consent.
Describe the problem. We'll tell you if AI is the right tool.
If the honest answer is “you don't need us,” that's the answer you'll get.