AI Managed Services
AI managed services that keep your agents running, current and governed.
We run and monitor the AI agents you have deployed, test every prompt and model change before your users see it, report usage and cost each month, and administer your Nexatron workspace.
- Agents monitored
- Changes evaluated first
- Monthly usage and cost
AI Managed Services
What do AI managed services cover?
AI managed services keep AI systems working after they go live. At dotSolved.ai the service covers four areas: running and monitoring the AI agents you have deployed, with incident handling; evaluations, prompt and model updates and drift checks; governance and reporting, with access reviews, audit evidence and monthly usage and cost reports; and Nexatron administration, from connector upkeep to semantic definitions and user access.
The agents we build come with runbooks, monitoring and a change process your team can own. Managed services is for teams that would rather we run that work.
What We Manage
Four workstreams, one team
Each workstream keeps a part of your AI estate dependable after launch. We agree the scope with you at the start.
- 01
Run and monitor AI agents
Deployed agents keep doing the work they were approved for
- Day-to-day operation of the AI agents you have in production
- Monitoring of agent runs, failures and exceptions
- Incident handling when an agent fails or behaves unexpectedly
- 02
Model and prompt updates
Changes are tested before your users see them
- Evaluations against test questions agreed with your team
- Prompt changes checked against those evaluations
- Model upgrades evaluated before they are switched on
- Drift checks that compare current answers with the agreed baseline
- 03
Governance and reporting
Evidence your auditors and finance team can use
- Access reviews of who, and which agents, can reach each system
- Audit evidence gathered and kept ready for review
- Monthly usage reporting
- Monthly cost reporting
- 04
Nexatron administration
Your Nexatron workspace, kept in order
- Connector upkeep for the sources you have connected
- Semantic definitions maintained as the business changes
- User access in Nexatron: additions, changes and removals
Current Nexatron connector status is published at nexatron.io/connectors.
Where It Fits
Managed services picks up where the build ends
Advisory decides what to build. We build the agents and set up Nexatron. Managed services keeps both working once they are live.
Governance Guides
How we think about running AI in production
Write an AI Incident Runbook Before the Pilot Expands
What an incident runbook for an AI workflow should hold before more people rely on it.
Build an AI Operating Model Before Expanding Access
Who owns each AI workflow, its definitions and its access before the user base grows.
Enterprise AI Governance Framework and Template
Policies, roles, controls and review cadence, with a printable template to adapt.
Why Enterprise AI Governance Fails, and How to Fix It
The patterns that stall governance programs and the corrections that hold up in production.
FAQ
AI managed services questions
What are AI managed services?
What does running and monitoring AI agents include?
How are prompt and model updates handled?
What is in the monthly usage and cost report?
What does Nexatron administration cover?
How is this different from AI advisory?
Can our own team stay in charge?
Have more questions?
Talk to Our AI Team →Nexatron by dotSolved Inc
Explore the Nexatron product
dotSolved provides implementation and advisory services. Nexatron is our enterprise analytics product, with dedicated guides for semantic modeling, analytical questions, federation, embedding and Claude connectivity.
Explore Nexatron's capabilitiesProduct
Keep your AI agents dependable after launch
Tell us which agents you run and how you use Nexatron, and we will agree the scope of the service with you.