I will run your ai systems in production as a managed service


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Vetted by Fiverr Pro
Peter B was selected by the Fiverr Pro team for their expertise.
About this gig
The AI works in the demo. Then it goes into production: real data, real edge cases, real costs, real compliance exposure. Building it is one job. Running it is another.
Managed AI Services is the operations model for AI that is live or about to go live. We own the AI in production: governance, deployment, performance, cost, and continuous optimisation. When something goes wrong, we fix it. When models update, we handle it. When your AI needs to improve, we improve it.
This is not a project engagement. It is a production relationship.
Four phases:
- Audit: processes, data quality, existing AI usage, and operational risk mapped
- Roadmap: where AI should assist or own decisions; KPIs defined; governance built
- Deploy: agentic systems in production with cost, safety, and compliance guardrails
- Operate: continuous ModelOps: performance monitoring, cost optimisation, incident prevention
What you get: AI systems running continuously in production, governance and control, continuous optimisation, and KPI driven accountability. We own the outcomes, not just the delivery.
Message before ordering. Tell us what AI you have in production and we will confirm the right entry point.
Get to know Peter B
B2B Marketing Specialist
Top Rated
Peter B is part of the Fiverr Pro catalog and has been hand-picked by a dedicated Fiverr Pro team for their skills and expertise.
Vetted for
Email Marketing
Marketing Consultation
- FromMalta
- Member sinceMar 2018
- Avg. response time1 hour
- Last delivery1 week
Languages
English, Swedish, Norwegian
My Portfolio
Other AI Development Services I Offer
FAQ
We do not have AI in production yet. Can we still start here?
Yes. The AI Production Readiness engagement is the starting point. You leave with a roadmap, governance framework, and first deployment. The retainer begins from there.
How is this different from hiring an AI consultant?
A consultant advises and leaves. Managed AI Services means we own the outcome. The systems run continuously, we respond to incidents, and we are accountable to your KPIs. Different job.
What does owning AI in production mean day to day?
Monitoring performance and quality, handling model updates before they cause problems, optimising cost, responding when something behaves unexpectedly, and reporting to your leadership on what the AI is doing and what it is returning.
Can you manage AI systems we did not build?
Yes. The audit phase maps your existing AI systems regardless of who built them. If they need rebuilding to be managed properly, we tell you upfront.
What does the first month look like?
The AI Production Readiness engagement: full audit of your current state, operating roadmap, governance framework, and the first agent or automation deployed into production. Handover brief for the retainer follows.
Do you report to our leadership?
Yes. Every retainer tier includes a monthly performance report to your leadership. Full Managed AI Partner includes quarterly roadmap reviews and board level reporting.
What happens if something goes wrong in production?
Incident response is included in both retainer tiers. We monitor continuously and respond. You do not manage model behaviour, cost spikes, or unexpected outputs. We do.
Can we start with the Readiness engagement and then pause?
Yes. The readiness engagement stands alone as a complete deliverable. You leave with an operating roadmap and a deployed agent. The retainer is the natural next step but not a commitment.

