AI Division
Keep your AI accurate, affordable and current.
AI systems do not stay the same after launch. Providers update models, your data shifts, costs creep up and new edge cases appear. Our monthly plan keeps your AI doing what it was built to do, with plain reporting and a service level you can hold us to.
In short
What does Managed AI Operations from Code Colonies cover?
Monitoring, quality checks, cost control and model updates, under an SLA. Deliverables include monitoring dashboards; SLA with response times; monthly performance report; tested model upgrades. The work is delivered under 2good.dev at USD 2 or INR 199 an hour, a 150 hour minimum, no advance and payment after you accept the work.
- How does the work run?
- Onboard (1 week), stabilise (first month), operate (monthly) and review (quarterly).
- Which tools and standards are used?
- Langfuse, OpenTelemetry, Grafana, Azure AI Foundry, AWS Bedrock and Vertex AI, chosen to fit your systems.
- Who owns the result?
- You do. Once you accept and pay, the documents, code and intellectual property from the work are yours.
- How do I start?
- Book a call or send a short brief. A specialist replies within one working day.
When clients call us
Situations we are asked to resolve
- An AI system went live and nobody owns it any more.
- Model costs keep rising and nobody can say why.
- Answers are less accurate than they were at launch.
- Your model provider is retiring the version you depend on.
Scope
What the work covers
- Quality monitoring
- Automated evaluations plus human spot checks every week.
- Cost control
- Usage dashboards, budgets, caching and model routing.
- Model updates
- Upgrades tested before rollout when providers release or retire models.
- Incident response
- Agreed response times for outages and drops in quality.
- Monthly review
- A short report on accuracy, usage, cost and what to improve next.
- Continuous improvement
- A small block of hours each month for fixes and new cases.
How it runs
A clear path, with gates
- Step 11 weekOnboardReview the system, record baselines and connect monitoring.
- Step 2First monthStabiliseFix the easy problems and agree targets.
- Step 3MonthlyOperateMonitor, report and improve under the SLA.
- Step 4QuarterlyReviewLook back at results and plan the next quarter.
Deliverables
What you receive, and what changes
What you receive
- Monitoring dashboards
- SLA with response times
- Monthly performance report
- Tested model upgrades
- A list of planned improvements
What changes
- Quality that holds after launch
- Monthly running costs tracked against a budget
- Quicker recovery from incidents
- A named owner for your AI systems
- Typical stack
- LangfuseOpenTelemetryGrafanaAzure AI FoundryAWS BedrockVertex AIClaudeOpenAIGemini
Start here
Talk to us about managed AI operations.
Tell us what you are trying to achieve. A specialist replies within one working day, and the first conversation is free.
Questions
Can you take over AI systems built by someone else?
Yes. We begin with a short review, record baselines and take over day to day running once we understand how the system works.
What does the SLA cover?
Response and resolution times by severity, uptime of the services we operate, and the monthly report you receive.