Services
Implementation & Integration
We write the code, connect your systems and hand over a system that runs on real work.
- Working prototype in 4-6 weeks
- System in production
- Your team runs it
Pilots that never reach production
A pilot can work well on its own. It often fails when it meets real systems. Real systems have messy data, old APIs, and compliance rules. They also have users who did not help build the pilot. Most of these failures have one cause: the team did not build for production from the start.
Common pain points
- Pilots that work in a demo but fail on real systems
- Connecting to older systems is harder than planned
- Pilots that skip security, compliance, and governance
- Not enough people in-house to build and maintain AI systems
- The daily work to run and maintain the system is larger than expected
How we build
We work as forward deployed engineers. This means our engineers work inside your team and your systems until the system runs. We use your real data from week one. Your engineers take part from start to finish. At the end, they own a system they understand and can run.
Start with a prototype on real data
In the first 4-6 weeks, we build a prototype that runs on your real inputs. If the approach will not work, we find out here. You learn this before you pay for a full build.
Build for production from the start
When the prototype works, we design the full system with monitoring and logs from day one. We test it on your real cases before launch, and keep testing after. We call these tests evals. A person approves any action that cannot be undone, such as a payment.
Connect to your systems one step at a time
We connect the AI to your systems and data. Where it fits, we use MCP, an open standard for these connections. We test each connection before we add the next one, so fewer things can go wrong.
Plan security and compliance early
We review data flows, access controls, and audit needs with your security team. We do this before we write production code.
Review the code with your engineers and hand over
Your engineers join code reviews and architecture walkthroughs during the build. The documents explain how the system works and how to extend it. Your team can then run it without us.
What you get
AI system in production
A tested AI system that is connected to your current systems and runs on real work.
Architecture documents
Documents that show the system design, data flows, API specifications, and connection points.
Security and compliance review
A security review and compliance documents. Where your policy needs it, this includes penetration test results.
Runbooks
Step-by-step procedures for monitoring, incident response, backup and recovery, and routine maintenance.
Automated tests
Unit tests, integration tests, and full-system tests that run automatically.
Team training and handover
Training sessions for your team. At the end, your team can run and maintain the system.
Our 5-phase process
The phases take you from the first interviews to a system in daily use.
Discovery
2 weeks
We interview the teams who do the work and map your data. We find where AI can help and where it cannot.
Strategy
2 weeks
We rank use cases by value and by the effort to build them. We cut the list and plan the first build.
Prototype
4-6 weeks
We build a working prototype on your real data. If the approach fails, we learn it here, before a full build.
Production
8-12 weeks
Our forward deployed engineers work inside your team to build the full system. We connect it to your systems, test it on real cases and train your engineers to run it.
Optimize
Ongoing
We monitor output quality and tune the system as usage changes. Each quarter, we choose the next improvement with you.
Ways to work with us
Choose the scope and length that fit your needs.
90 days from pilot to production
We take one focused use case from idea to production.
- Pricing:
- Fixed fee
- Duration:
- 90 days
Full implementation
We build larger AI systems that connect to many of your tools and data sources.
- Pricing:
- Time and materials
- Duration:
- 4-6 months
Implementation and support
We build the system. Then we support and improve it for 12 months.
- Pricing:
- Hybrid model
- Duration:
- 6-18 months
Talk to us about this service
Tell us about your goals and your systems. We will tell you if this service fits. We will also tell you the first step.