Implementation
Build it, then keep it running.
When the problem is already clear, we build the system that solves it, put it into production, and train your team to use it. We host, secure, and support it from there, so it keeps pace as your business changes.
- First working version
- About a month, on your data
- In production
- Typically two to three months
- Your team
- Trained as part of the engagement
What you receive.
- 01
A system built for one clearly defined problem, running in production on your data.
- 02
Integration with the systems you already use, so no one has to learn a new tool.
- 03
Your team trained on the system as it is built, with documentation they keep.
- 04
Hosting, security, monitoring, and continued improvement once it is live.
Scoped in writing, built in stages, supported in production.
- 01
Scoped in writing
From an Assessment, or from the problem you bringEvery Implementation begins with a written proposal that defines the problem, the system, and the timeline, so you know exactly what is being built and why.
- 02
A first working version
About a monthYou see the system run on your own data early, and each stage is approved before the next one is built.
- 03
Production
Typically two to three monthsThe system goes live inside your existing workflow. The people who will use it have learned it as it was built.
- 04
Supported
Hosted, secured, improvedYour business, your data, and the models all change. We keep the system running and improving as they do.
What makes a good candidate.
The problems best suited to Implementation share three traits. Where it is not yet clear that a problem qualifies, an Assessment comes first.
- The cost recurs
- It is paid every week or every month, in money or in hours, not once. A recurring cost is what makes a system worth running.
- The data already exists
- Invoices, orders, emails, records: the information the work depends on is already being created somewhere, even if it is scattered.
- A person can check the result
- The system does the reading, matching, and drafting. Someone on your team reviews what it flags and makes the decision.
Invoice Intelligence at a marine manufacturer.
A system that reads every vendor invoice to the cent, checks each line against the agreed price, and tracks part prices over time. It went from first demonstration to production in under two months, and is hosted and supported by us today.
Read the case study$476,643.12
Overbilling and price increases, recomputed from the live system through September 2026.
Bring us the problem.
A discovery call is a short conversation about your business and where AI could make a measurable difference. If there is a fit, we follow with a written proposal.