Production AI for enterprises, MSPs and agencies

Everyone sells AI. We ship it.

Ovidius AI builds agents and workflows inside the systems you already run and keeps them working after launch. The board on the right shows three of them, and yours can be next.

Book a Discovery CallRead the case studies

We scope the first build before you commit to anything.

I runan enterprisean MSPan agency
Try it: add your CRMRunning in production
Your systems
Microsoft 365
HubSpot
OvidiusBUILD · INTEGRATE · RUN
    Your cloudYour authYour monitoring
    In productionLive
    Support agentPinkcube
    ~500 chats / wk
    Daily MI alertsIES Limited
    20 days 30 min
    Content engineGoKickflip
    $700 $12.11
    A loose pile of frosted glass tiles on a dark table, joined by one orange light line to a row of upright glass blocks that ends in a glowing glass cube
    Ovidius clients include
    AudinatePinkcubeBizIQCourserAllClear

    Proof

    Before and After, in Numbers

    Three builds written up in full. Pick one. See all case studies

    GoKickflip
    $700$12.11
    Cost per article
    $700 per article, before$12.11, now
    E-commerce / SaaS · Content pipeline

    A keyword in, a publish-ready article out, in 29 minutes

    Three agents on n8n research, brief and write each article with a multi-model stack, so output scaled without hiring. Built and shipped in 30 days.

    98%lower cost per article
    10xmonthly output
    $358Ka year saved at equal volume
    “From day one, the Ovidius team moved fast, thought big, and executed with precision.”Renaud Teasdale, CEO, GoKickflip
    Read the case
    IES Limited
    4 brands1 engine
    One compliance-first pipeline
    Four brandsOne engine
    Insurance · Content pipeline

    Regulated content for four brands, checked for compliance before anyone reads it

    A Compliance Checker Agent audits every draft against each brand's banned terms before a person reviews it, across three regions.

    80%less manual production effort
    0external agencies in 2026
    11stages automated
    “We've completely phased out our reliance on external agencies and freelancers in 2026 while significantly speeding up production.”Bhavek Rughani, Head of Marketing, IES Limited
    Read the case
    IES Limited
    20 days30 min
    Time to detection
    20 working days, beforeOne lunchtime, now
    Insurance · Daily MI alerting

    A 25-page MI pack nobody finished, read in full every working day

    An n8n and Supabase system checks 14 metrics across four brands against two tests, then routes alerts to six Teams audiences by noon.

    1,751metric evaluations
    4 of 4replayed incidents caught
    34threshold changes, zero tickets
    Read the case

    Start here

    Pick the Page Written for Your Team

    Each one covers what we build for that kind of team, who owns it and the proof behind it.

    AI Readiness IndexSample
    61/100
    Data quality and governance72%
    Integration capacityHigh risk
    Change readiness58%
    Month1       2       3Quick win 1Quick win 2Strategic bet
    Enterprise teams

    Find the workflows worth automating, then run them in your own cloud.

    Your MSP AI
    Forge AI
    Clients on your platform
    Client 01Support agent
    Client 02Invoices
    Client 03Content
    Client 04Reporting
    Data kept apart per client4 live
    MSPs

    Six AI services your clients buy from you, delivered by us under your name.

    Content pipeline4 brands
    Draft
    Brand AWriting
    Brand DWriting
    Brand BBrief ready
    Checks
    Brand CChecking
    Brand A1 term flagged
    Review
    Brand BPassed
    Brand DPassed
    Agencies

    Delivery pipelines that cut production cost, and AI tools you sell under your brand.

    Lead routingSelf-hosted
    Webhook
    AI Agent
    HubSpot
    Slack
    Supabase
    Teams on n8n

    New builds, a review of what you already run, or training on your own workflows.

    The problem

    Most AI Never Reaches Production

    Four independent studies put numbers on where AI programs break. Pick one to see where it breaks and what we do about it.

    A loose pile of frosted glass tiles on a dark table, joined by one orange light line to a row of upright glass blocks that ends in a glowing glass cube
    Source: RAND, 2024

    Where it breaks

    The problem and the leadership mandate were never tested before the build started.

    What we do about it

    Phase 1 of the AI Audit tests the problem and the mandate first. If you already know the workflow, scoping does the same job in days.

    See the AI Audit
    Source: Lenovo CIO Playbook 2025, with IDC

    Where it breaks

    The pilot ran on a copy of the data and never met the systems it had to write back to.

    What we do about it

    We build against your real data, inside your environment, from the first week. Phase 2 of the audit maps how data moves between your systems.

    See the AI Audit
    Source: MIT NANDA, The GenAI Divide, 2025

    Where it breaks

    Nobody set a baseline, so nobody can say what the pilot saved.

    What we do about it

    Phase 7 models ROI before you commit budget, and every system we ship reports what it saves.

    See the AI Audit
    Source: IBM Cost of a Data Breach, 2025

    Where it breaks

    The model was given more access than the people who use it.

    What we do about it

    Agents run behind your own auth and read only what your permissions allow. Phase 5 scores governance and access posture.

    See the AI Audit

    What we build

    AI Systems We Build and Run

    Each runs on self-hosted n8n with the model that suits the task. See every solution

    01
    Customer asksChat, email or your help widget
    02
    Agent reads your systemsOrders, CRM, help center
    03
    Second agent checksEvery reply, before it is sent
    04
    Answer or handoffTo a person when it should
    Example run
    Where is order #4821?
    Shipped Tuesday, arriving Friday. Tracking link sent.Checked by second agent
    Connects toZendeskHubSpotSalesforceShopify

    Enterprise AI chatbot

    Answers from your order database, CRM and help center, hands off to a person when it should, and has every reply checked by a second agent before a customer sees it.

    ~500Pinkcube: support chats a week, one of twelve production systems we run for them
    Enterprise AI chatbot
    01
    Invoice arrivesPDF by email or upload
    02
    Matched to POAnd the goods receipt
    03
    Clean ones postedStraight to your ERP
    04
    Exceptions to APWith the reason attached
    Example run
    INV-2291.pdf · 4,120.00
    Matched to PO-7781 and goods receipt. Posted to the ERP.No exception
    Connects toOutlookSharePointOdooYour ERP

    AI invoice automation

    Reads each invoice, matches it against the purchase order and goods receipt in your ERP, posts the clean ones and sends only the exceptions to your AP team.

    For AP teams keying the same fields from every PDF and chasing price variances by email
    AI invoice automation
    01
    Metrics loaded14 metrics, four brands
    02
    Two tests runAgainst each threshold
    03
    Model explainsThe database does the maths
    04
    Alert routedSix Teams audiences by noon
    Example run
    Quote funnel, Brand B · 09:00
    Below its threshold on both tests. Alert sent to the pricing team.Routed by 09:04
    Connects ton8nSupabaseMicrosoft Teams

    Daily MI alerting

    Checks your core metrics every morning, tests each one against its thresholds, and sends the right alert to the right team before lunch. The maths stays in the database; the model only explains it.

    20 days → 30 minIES Limited: time to spot a drop in the quote funnel
    Read the IES case
    01
    Request comes inBooking, intake or referral
    02
    Agent checksEHR and practice system
    03
    Clinician signs offOn anything clinical
    04
    Scheduled and loggedBack in your system
    Example run
    New patient asks for a check-up next week
    Tuesday 10:30 booked, intake form sent.No clinical decision
    Connects toOdooYour EHRn8n

    AI agents in healthcare

    Agents for scheduling, intake, referrals and prior authorization inside the EHR and practice systems you run, with a clinician signing off on anything clinical.

    1,500Dental care group: appointments a week scheduled for 200 practitioners
    AI agents in healthcare
    01
    Agent asksA question about your business
    02
    Permissions checkedYour existing roles
    03
    Governed data readData, documents and rules
    04
    Answer loggedOn every retrieval
    Example run
    What is our refund rule for B2B orders?
    Unopened stock within 14 days, per Sales Policy v4.Retrieval logged
    Connects ton8nModel Context ProtocolYour VPC

    Enterprise context layer

    One governed layer of your data, documents and operating rules that every agent reads from, scoped by the permissions your systems already enforce and logged on every retrieval.

    Built in your VPC on n8n and the Model Context Protocol
    Enterprise context layer
    01
    Keyword inFrom your SEO plan
    02
    Research and briefAgents on n8n
    03
    Draft and checkAgainst your brand rules
    04
    Person reviewsThen it publishes
    Example run
    Keyword: best skateboard bearings
    Draft written, brand rules passed, sent to an editor.Ready for review
    Connects ton8nDataForSEONotionYour CMS

    AI content pipelines

    Multi-agent pipelines that take a keyword through research, brief, drafting and compliance checks to a publish-ready article, with a person reviewing before anything goes live.

    $700 → $12.11GoKickflip: cost per article, 29 minutes from keyword to publish-ready
    Read the GoKickflip case

    How a build runs

    One Line From First Call to a Running System

    Click a stage to see what you get and who answers for it. See how we work

    Stage 01 · Jason, COO

    AI Audit, if needed

    Eight phases across strategy, operations, data, systems and governance, ending in a ranked 90-day roadmap.

    You get
    • ROI models for your top three to five initiatives
    • A ranked 90-day roadmap you own
    • Fee credited toward your first build
    Stage 02 · Owen, CEO

    Scope

    One workflow, the systems it touches and what it will take, agreed before you commit. Jason scopes alongside Owen.

    You get
    • A written scope: workflow, systems and data
    • What it will take, before you sign
    • A proof of concept first, where the risk sits in your data
    Stage 03 · Maciej, CTO

    Build

    Built against your real data, in your environment, as production software from the first week.

    You get
    • Self-hosted n8n in your cloud
    • The model that suits each task
    • Your data stays where it is
    Stage 04 · Jason, COO

    Integrate

    Into production behind your auth, your governance and your monitoring, with your team trained on it.

    You get
    • Runs behind your own auth
    • Alerts and logs to your team
    • Your people trained on the system
    Stage 05 · Maciej, CTO

    Run and improve

    Watched, fixed and extended in weekly sprints by the engineers who built it.

    You get
    • Weekly sprints that you direct
    • A report of what each workflow saves
    • The next use case, scoped with you

    How long does it take?

    The honest answer, for what you are building.

    Everything we offer

    Every Service, in the Order Teams Use It

    01
    Decide
    Find the processes worth automating and plan the order.
    02
    Build
    Agents and workflows inside your systems, on your data.
    03
    Run
    Monitored, governed and improved by the team that built it.
    04
    Grow
    Train your team, or sell AI under your own brand.

    The difference

    Ovidius vs. the Traditional Consultancy

    Ovidius
    Traditional consultancy
    Time to production
    Weeks, scoped before you commit
    A roadmap first, the build later
    What you get
    Working software in your stack
    A slide deck and a roadmap
    Who builds it
    The partners who scoped it
    A delivery team you never met
    Where it runs
    Self-hosted, in your cloud
    Their vendor's SaaS
    After go-live
    Monitored, fixed and extended
    Handover and an invoice

    Forge AI

    Sell AI Under Your Own Brand

    Forge AI is the white-label platform behind our builds. MSPs and agencies deploy it per client, under their own domain, with each client's data kept apart.

    • Your brand, your domain
    • Every client in one console
    • Each client's data kept apart
    • Billed monthly, sold as yours
    See Forge AIAI for MSPs
    Your recurring revenue with Forge AI
    Recurring a month
    Recurring a year

    Your inputs, your pricing. The calculator multiplies them and makes no claim about what clients pay.

    Who you work with

    A Senior Team, Working as an Extension of Yours

    Five partners, one owner at every stage. Meet the team

    Owen
    Sales and scopingOwenChief Executive Officer
    Maciej
    Build and runMaciejChief Technology Officer
    Jason
    Audit and shipJasonChief Operating Officer
    Oskar
    Partnerships and accountsOskarChief Revenue Officer
    Ben
    GrowBenChief Marketing Officer

    Questions

    What Teams Ask Us First

    Why do you scope one workflow at a time?

    Because a workflow can be finished and measured. We agree the workflow, the systems it touches and what it will take before you commit, and the second use case is easier because the first one is already running.

    Does our data have to leave our environment?

    No. We build on self-hosted n8n in your cloud, behind your own auth, and agents read your systems through their APIs with the permissions your people already have.

    What if we don't know where to start?

    Start with the AI Audit. Jason runs eight phases across strategy, operations, data and systems and hands you a ranked 90-day roadmap. The fee is credited toward your first build.

    Which models do you use?

    The one that suits the task. GoKickflip's pipeline runs about 33 agent executions across six or more models for each article, and the routing is part of what we maintain.

    Can we resell what you build?

    Yes. MSPs and agencies deploy Forge AI per client under their own brand, and we deliver the build behind it. See AI for MSPs and AI for agencies.

    What happens after the first workflow is live?

    The team that built it runs it: monitoring, fixes and the next use case, in weekly sprints that you direct.

    Notes from the build

    From the Ovidius Blog

    See every post

    AI consulting

    What Is AI Consulting? How It Moves AI From Pilot to Production

    Read the post
    Context layer

    The Blueprint: How to Build an Enterprise Context Layer for Corporate Data

    Read the post
    Healthcare

    Architecting an Enterprise Context Layer for Protected Healthcare Environments

    Read the post

    Put Your First Workflow on the Board

    Answer a few questions about your team and what you want automated, then Owen and Jason scope it with you on the call.

    Which best describes your company?

    A managed service providerAn agencyA consulting firm A PE or VC firmAn in-house team at a larger companySomething else

    Owen, Maciej, Jason, Oskar and Ben