Solutions
Ovidius AI builds custom AI agents and automated workflows inside the CRM, ERP and helpdesk you already run, and keeps them working after launch. Start with an audit if you are still deciding where AI pays off, or bring us the process you already want automated.

Everything we offer, in the order teams use it
Solutions map




Every one of these runs on self-hosted n8n with the model that suits the task, reads your systems through their APIs and has a page that covers it in full.
Most teams already have AI tools and a list of ideas. These engagements turn the list into a ranked plan, and the plan into a first workflow in production.
A workflow in production needs someone watching it, controls your security team signs off on and people who know how it works. We cover all three.
Five stages, each with a named owner on our side who answers for it. The full process, with what you get at each stage, is on our How We Work page.
Eight phases, ending in a ranked opportunity matrix and a 90-day roadmap.
Monitored, fixed and extended in weekly sprints by the engineers who built it.
It depends on what you are building. A single workflow usually takes weeks, something across several systems takes longer, and the scope tells you which yours is before you commit. 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.
The builds are the same. What changes is where you start and who signs off, so each of these pages is written for one kind of team.
The pipelines in our case studies run on Forge AI. Agencies and MSPs use the same platform to deploy AI tools under their own brand and manage every client from one console.

Three systems 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.
For a Dutch Odoo implementation partner, an n8n agent places appointments nightly from a planning cache and explains every slot it cannot fill.
"From day one, the Ovidius team moved fast, thought big, and executed with precision. Together, we built something truly cutting-edge that will be a major unlock for our business and change how we operate and grow."
"Working with Owen and the Ovidius team has been a seamless experience; they are incredibly responsive and adapted quickly to our specific requirements. By leveraging their AI-driven content for our travel insurance sites, we've completely phased out our reliance on external agencies and freelancers in 2026 while significantly speeding up production."
We also run twelve production systems for Pinkcube. More engagements are in our case studies.
Custom AI agents and automated workflows that do a defined piece of work inside your own systems: answering customers from your order data with an enterprise AI chatbot, posting invoices to your ERP with AI invoice automation, scheduling and intake in healthcare, and content pipelines like GoKickflip's. Around the builds we run the AI Audit, strategy and roadmap work, managed services and training.
If you already know the process you want automated, start with a discovery call and we scope that workflow. If you are still deciding where AI pays off, start with the AI Audit, or check your own starting point first with our AI readiness assessment.
They are custom: each one is built around your workflow, your business rules and your data, on self-hosted n8n with the model that suits the task, such as Claude, OpenAI or a model you host. The patterns repeat across clients, so a second agent checking outputs or an enterprise context layer scoping what an agent can read is proven before it reaches your build.
In your own cloud. We deploy n8n inside your AWS, GCP or Azure account and behind your existing authentication, and agents read your systems through their APIs with the permissions those systems already enforce. The controls are on our enterprise AI governance page.
A single workflow usually takes weeks; something across several systems takes longer. We scope each build and give you the cost before any work begins. The AI Audit has a fixed fee, credited toward your first deployment if you build with us, and a proof of concept typically takes 4 to 8 weeks.
Pick the process that costs your team the most hours, or the AI pilot that never reached production. We tell you whether AI fits it, which solution it maps to and what the first step costs.