Services
Ongoing Support & Optimization
After launch, we monitor, tune and improve your AI system as your needs change.
- Proactive monitoring
- Regular tuning
- Quarterly reviews
Systems get worse over time
Six months after launch, the data no longer matches how your business works. Costs go up. Rare cases that testing missed start to happen in production. Most teams do not have time to track this. When someone notices, people have often stopped trusting the tool.
Common pain points
- Output quality drops when nobody monitors the system
- Business needs change, and the system must change with them
- New models and tools could help, but nobody checks them
- Not enough skill in-house to find and fix problems
- Hard to show the return on the system over time
How we support
We watch your system and find problems early. We tune it as your work changes. Every quarter, we plan what to improve next with you. Your team can then focus on its own work.
Monitor what matters
We track the quality of the AI output for your use case, as well as server uptime. We send alerts about the problems that affect your team's work.
Fix problems before users see them
When the monitoring data shows a problem, we find the cause and fix it early. We write down what we did and why.
Tune as your work changes
We keep testing the system on your real cases after launch. When quality drops, we change the prompts or settings. If necessary, we change the model.
Review and plan each quarter
Each quarter, we meet with your team and bring the data. We look at what works and what got worse. Then we agree what to improve and which new use cases to start.
Change models only when it helps
We follow new AI models and methods. We recommend a change only when it will make your system better on your own tests.
What you get
24/7 monitoring
Monitoring that runs all the time. It sends alerts when quality drops, errors occur, or results look wrong.
Monthly reports
Reports on usage and output quality. They also show the business numbers we agreed with you before the build.
Quarterly business reviews
Meetings where we review the return, find new opportunities, and agree on priorities.
Incident response
Fast response to problems, with agreed response times for each level of severity.
Improvement roadmap
A ranked list of improvements and new features.
Model updates
We update, retrain, or replace the model when tests show that quality has dropped.
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.
Essential support
Monitoring, incident response during business hours, and quarterly reviews.
- Pricing:
- Monthly subscription
- Duration:
- Ongoing
Premium support
24/7 monitoring and response, monthly reviews, and regular tuning.
- Pricing:
- Monthly subscription
- Duration:
- Ongoing
Strategic partnership
Full support, plus reserved team time for new features and new projects.
- Pricing:
- Monthly retainer
- Duration:
- Ongoing
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.