Equip and support your team
Managed AI support & improvement
Keep your AI systems working and improving after launch, without hiring a dedicated team.
Launch is the start. Models get updated, systems change, and people find new ways to use what you've built. Managed support gives you someone accountable for keeping it working, within a scope you agree to in writing — no open-ended retainers.
Free · 30 minutes · Reply within 1 business day
When this helps
- You launched an AI system and nobody internal has time to maintain it.
- Performance has drifted and you're not sure why.
- A model or vendor update broke something.
- New staff need training on tools rolled out last year.
What AgentSpring does
- 1
Monitor and troubleshoot
Watch agreed signals and respond to issues within the agreed scope.
- 2
Maintain evaluations
Rerun tests after changes and update them as your use evolves.
- 3
Apply updates
Evaluate model and platform updates before adopting them.
- 4
Improve and refresh
Small workflow improvements and periodic training refreshers.
What you receive
These are potential deliverables. Your proposal defines the exact deliverables and responsibilities; not every item applies to every engagement.
- A written support scope
- Regular status summaries
- Evaluation reruns after changes
- Improvement backlog
- Training refreshers as agreed
What we need from your team
Good results depend on your team's involvement.
- A point of contact
- Continued access to systems
- Feedback from users on what's working
How success is assessed
- Issues are handled within the agreed scope
- Evaluation results stay within agreed ranges
- Improvements are delivered from a shared backlog
What affects scope, timing, and cost
- Number of systems supported
- Monitoring depth
- Expected volume of changes
- Training refresh frequency
Projects are scoped around your goals, existing systems, and the work required. Before work begins, we agree on deliverables, responsibilities, fees, and any ongoing software or support costs.
Where relevant, third-party licenses, hosting, model usage, and ongoing support are separate costs identified before work begins. Your proposal also defines integration access, ownership arrangements, handover, and support scope.
How pricing worksIllustrative example
Example: after a model update
When a provider retires a model version, support would test the replacement against the existing evaluation set, adjust prompts where results dipped, and confirm with the owner before switching.
See work & examplesQuestions about this service
Do you support systems you didn't build?
Often, after a review to understand how they work.
What response time do you offer?
Response expectations are part of the written scope we agree on together.
Can we cancel?
Terms are agreed in writing up front, including how either side can end the arrangement.
Related services
- AI evaluation, security & governanceDefine success, test reliability, set access and approval controls, and document who's responsible.
- Workflow automation & process improvementSimplify processes and automate document handling, reporting, handoffs, and repetitive data entry.
- AI tool rollout & trainingChoose and set up AI tools, then train people with workshops built around their real work.
Talk through managed ai support for your business.
The free workflow review is your starting point. Bring a project, a process, or a question about where to start.
What happens on the first call?
We’ll discuss what you want to improve, the tools you use, and the constraints you’re working within. You’ll leave with 2 to 3 automation ideas, whether or not we work together.
Start with a defined project or an uncertain problem. You’ll leave with 2 to 3 automation ideas, whether or not we work together.
30 minutes. You'll leave with 2 to 3 automation ideas, whether or not we work together.