Ground truth
We measure the current process by hand: volume, cost per item, error rate, where time goes. Nothing gets built against a guess.
Weeks 1–2
Everything you asked
Answers before you have to ask twice
If yours is not here, write to us and we will answer it in plain language.
No. Waiting for clean data is the most common reason projects never begin. We work with what exists, document what is missing, and fix the records that actually affect the outcome.
Inside your cloud account, your data centre, or an isolated environment with no outbound network. We have delivered all three. The choice is yours and it does not change our fee.
The final invoice reduces on a scale written into the statement of work. We would rather agree that up front than argue about it at the end.
Only on your written instruction, only on your infrastructure, and only for a model you own. Vendor terms are reviewed and summarised for you before anything is signed.
We prefer it. Projects with two or three of your engineers embedded hand over faster and hold their results longer. It also reduces the fee.
Assessments usually begin within three weeks. Build engagements depend on team availability — as of this quarter, the next opening is in about six weeks.
Delivery path
Four stages, in this order, every time
Order matters here — each stage produces the input the next one needs. We do not skip ahead, and we stop at any gate that fails.
Narrow prototype
One workflow, one team, real data. The goal is a decision, not a demo: is this worth the integration cost or not.
Weeks 3–6Production build
Hardening, permissions, monitoring and the review steps your risk team asked for. Rolled out to one site before all of them.
Weeks 7–14Handover
Your team takes the keys. We shadow for a month, answer questions for two more, then step back for good.
Weeks 15–18
What we do
Six things we are asked for, over and over
Each one is scoped as a standalone piece of work. Most clients start with one and add the next once the numbers hold.
Opportunity mapping
We sit with your team for two weeks, watch the work, and come back with a ranked list of what is worth automating and what is not.
Model selection and tuning
Open weights, hosted APIs or a small task-specific model. We test candidates against your data before anyone signs a licence.
Workflow engineering
The unglamorous part: queues, retries, human review steps and the handoffs that decide whether anyone actually uses the thing.
Governance and controls
Audit trails, access rules, red-team runs and a written record of what the system may and may not decide on its own.
Evaluation and monitoring
A test suite built from your real edge cases, running on every change, with alerts when quality drifts instead of after a complaint.
Handover and training
Your engineers run it after we leave. Documentation, pairing sessions and a 90-day window where we stay reachable.
Next step
Bring us the process nobody wants to touch
Send a short note about the workflow and the number you need to move. You will get a written reply from an engineer, not a form response, within two working days.