Managed AI Provider
We build, run, and manage an AI workforce inside your business — the MSP model, applied to AI. Enterprise-grade AI output, without hiring an AI team.
REINS
The head-op you hand the reins to
REINS is the head-op that runs your operation — it directs your agents and does the work. Meet REINS →
Run by an operator
17 years running a $7M managed services company before exit. The MSP playbook, re-run on AI.
Your data, your cloud
Runs on your accounts and your approvals. You own the system and the bill.
Scoped first deployment
One agent with a named job — not a six-month platform project.
Findings before you commit
You get written findings from the readiness review before any engagement starts.
The real problem
ChatGPT, Copilot, a dozen point tools — your team uses a fraction of them and nothing operates end-to-end. Getting cited by AI answer engines matters, but it's one function, not the whole job. What's missing is someone who architects, deploys, and runs the AI as an operating system for your business.
The MAP model
Same operational discipline — monthly recurring, SLA-backed, hands-on. New substrate. You don't hire AI engineers or stitch together 14 tools. You hire us to run it.
We spend time in your workflows and design the AI operation around how your business actually runs — starting with one agent that earns its keep.
Built, wired to your tools, and live on the surfaces your team already uses. Shadow mode first, human-reviewed, then autonomous once proven.
Supervised, tuned, and expanded every month. SLA-backed response, business reviews, and new agents added as you grow.
Own your company's intelligence
Your best people are already using AI. The only question is whether the institutional knowledge they build with it lands in your business — or in a personal account you'll never get back.
Without a MAP
Your team quietly runs the business through their personalChatGPT and Claude accounts. Every workflow they teach it, every document they paste in, becomes a second brain you don't own, can't see, and can't govern.
Knowledge leaking out — and it compounds
With the AImpact OS
Everyone still gets their own AI — their Sidekick — but it runs on your Company Brain. What they teach it becomes a company asset: owned, searchable, and permanent.
Knowledge compounding in — and it stays
Your data is scattered across platforms that were never built to talk to each other. We connect them — even integrations that have never existed before — aggregate what they hold, and make it AI-ready: structured, searchable, embedded. Then we fold it into your Company Brain, owned and on your private cloud.
Your existing tools
Aggregated, AI-ready, owned by you
None of this lives on OpenAI's servers or a personal login. Your Company Brain runs on your own private cloud— your data, your infrastructure, isolated and governed with permissions and a full audit trail. You own the intelligence and where it lives.
See the Company Brain & AI GovernanceYour AI workforce
Not a chatbot. A head-op you hand the reins to, a marketing agent on your website, and a sidekick for every employee — all running on your OS, all managed by us.
The environment your whole AI operation runs in — the Company Brain, context engineering, orchestration, permissions, and audit trail every agent works through.
REINS runs the OS: it directs the operation, coordinates the other agents, and can build apps when you need them. You hand it the reins.
Your marketing agent — lives on your website, qualifies visitors, answers questions, and books calls so your team only touches ready conversations.
Each employee gets their own AI sidekick — tuned to their role, tools, and tasks, working through the same OS and Company Brain.
See it work
We don't just talk about AI that frees your team — ARIA, our marketing agent, runs our own front door. She qualifies visitors, answers questions, and books calls, so a human only steps in when it counts. That's exactly what we deploy for you.
ARIA is live on this page
Look for the chat button in the bottom-right corner and ask her anything about managed AI — the same marketing agent we deploy on client sites.
Meet ARIAMSP built and exited
Running managed services
“We were an MSP before that was an acronym. We're a MAP before that's one, too.”
— Andy Oberlin, founder
Start here
A scoped, no-pressure look at where AI would actually pay off in your business. In 3–5 business days you get a written deliverable — not a sales deck.
Engagement scale
Managed AI engagements start at $2k/mo and scale to $50k+/mo depending on how much of your operation you hand over. The readiness review tells you where you'd land — before you commit to anything.
$2k–$3k/mo
One managed agent on our infrastructure. Best for a first, single-department deployment.
$5k–$10k/mo
Your cloud, your LLM account, full ownership. Multi-department operations and data locality.
$15k–$50k+/mo
Private VPC, signed BAA, dedicated engineer. Clinics, legal, and financial services under compliance.
Our free education series breaks down how AI actually works — no jargon, no pitch. Learn first, then decide if a readiness review makes sense.
Yes. On our Dedicated and Enterprise engagements the AI runs on your cloud, on your own LLM account, against your data. You see the usage bill. If we ever part ways, you keep the system.
Your data stays in your environment. Regulated work (HIPAA, SOC 2) runs on a commercial LLM API with a signed BAA, zero-data-retention config, private VPC, and audit logging.
Every new agent starts in shadow mode — a human reviews everything before it acts. We only remove the training wheels once it earns trust. No customer-facing mistakes on our watch.
Only where you decide it should. Approval gates are configured per workflow. High-stakes actions stay human-approved; routine work runs autonomously once proven.
No. The whole thesis is the opposite: AI takes the repetitive load so your people do the work only humans can. We free employees, we do not replace them.
Week 1 discovery and workflow mapping. Week 2 architecture and first agent deployed. Week 3 shadow mode with human review. Week 4 go-live with a scheduled monthly review. One working agent, not a six-month roadmap.
Written findings in 3–5 business days. No pressure, no jargon, honest fit call.