For managed service providers
When a client asks you for AI, say yes without hiring an AI team. Ovidius AI scopes, builds and runs the agents and workflows; you keep the client relationship and sell the work under your own brand on Forge AI, our white-label platform.

Your MSP
You keepOvidius AI
We deliver




Each of these is a build we already deliver, with its own page that covers it in full. Your clients buy them from you, and our engineers build and run them.
Forge AI is the white-label platform behind everything we build. Each client you sign gets its own tenant, so one client's data, credentials and workflows never touch another's.

Every component provisioned and managed by the Forge AI operations team, including patching, monitoring, scaling and backups.
The application and authentication are hosted by Forge AI; the client's database and workflow engine live in their own cloud.
The entire stack inside the client's infrastructure, for regulated industries, government or no-external-hosting policies.
The stages match every Ovidius build, with a named owner on our side for each. The full process is on our How We Work page.
One workflow for one client, its systems and data, with a cost you approve before work starts.
Inside your client's environment, tested against a staging replica of their real data.
Live on Forge AI with your logo and domain, behind the client's authentication, with their team trained.
Monitored, fixed and extended in weekly sprints by the engineers who built it.
It depends on what your client needs. A single workflow usually takes weeks, something across several systems takes longer, and the scope tells you which it is before your client commits. For a sense of pace, GoKickflip's content pipeline was built and shipped in 30 days. The AI Audit is a separate engagement on its own timeline.
Two of the systems we run in production, each reporting its own results.
A multi-agent pipeline on n8n that runs about 33 agent executions across six or more AI models per article, built and shipped in 30 days.
An 11-stage pipeline in n8n and Notion. A Compliance Checker Agent audits every draft against each brand's banned terms and approved phrasing before a person reviews it.
We also run twelve production systems for Pinkcube, and one agency client is deploying 80 brands on Forge AI. More engagements are in our case studies.
We give your MSP an AI practice without hiring one. Our engineers scope, build and run AI agents and workflows for your clients, and you sell them under your own brand on Forge AI, our white-label platform. You keep the client relationship; we keep the AI running.
Yes. Forge AI sets the logo, colors, navigation and custom domain per tenant, so the tools each client signs into carry your brand, and you bill the work as yours. Every client you sell to is managed from one console.
Every client gets a dedicated Supabase database and a dedicated n8n instance, so credentials, logic and execution history are never shared. Row-Level Security filters every query at the database engine, and the authentication database is physically separate.
For clients with stricter policies, the database and workflow engine can run in the client's own cloud (hybrid), or the entire stack can run inside their infrastructure with no data passing through Forge AI systems (client-hosted). The controls are on our enterprise AI governance page.
The AI Audit: eight phases that end in ROI models for the client's top three to five initiatives and a 90-day roadmap, for a fixed fee credited toward the first build. A client who wants to check their own starting point first can use our AI readiness assessment.
A single workflow usually takes weeks; something across several systems takes longer. We scope each client build and give you the cost before any work begins, so you can price it to your client before they commit. Model usage on Forge is billed through your own API account, so token costs stay visible.
AI managed services is how we run AI for a company directly: the engineers who built each workflow monitor it, fix it and spend weekly sprints on what comes next. This page is for MSPs that want to sell AI to their own clients. The same run-and-fix work sits behind every client you sign, and the client buys it from you.
Pick the AI request a client has already put to you, or the one you keep turning down. We tell you whether AI fits it, what the build involves and what it costs, before your client commits.