A new category of business services
What is a Managed AI Provider?
A Managed AI Provider (MAP) is the MSP model, applied to AI. We build, deploy, and operate the AI workforce that runs inside your business — on your messaging apps, using your tools, against your data — so you get enterprise-grade AI output without hiring an AI team.
AImpact Nexus is a Managed AI Provider.
From the founder
“We were an MSP before that was an acronym.”
Andy Oberlin built and ran a regional Managed Service Provider for nearly two decades. The MSP category didn't exist as a named business model when he started — he was just the guy who kept the servers running for businesses that couldn't afford their own IT team. By the time the industry caught up and gave it a name, he'd already lived every lesson in the playbook: SLA muscle, monthly recurring pricing, onboarding friction, incident response, tiered service discipline. Now he's applying that same playbook to AI. We were an MSP before that was an acronym. We're a MAP before that's one, too.
The Category, Defined
For 30 years, small and mid-sized businesses outsourced their IT to Managed Service Providers (MSPs)— monthly recurring, ticketed, SLA-backed, hands-on. They didn't want to hire a CIO. They wanted it to just work. Managed AI Provider (MAP)is that same relationship, for the AI era. You don't hire AI engineers. You don't subscribe to 14 AI tools and stitch them together. You hire AImpact Nexus. We operate the AI workforce that runs inside your business, end to end.
The Three Traps Every SMB Falls Into
Every SMB operator has the same three AI problems right now:
The Tool Sprawl Trap
They've paid for ChatGPT Enterprise, Copilot, Claude Max, maybe Gemini. Their team uses 5%. Nothing operates between tools. Nothing does work end-to-end.
The Hire-an-AI-Person Trap
AI engineers want $200K+ and a Series B. SMBs can't close that candidate, can't retain them, can't absorb the mis-hire.
The Consultancy Trap
Accenture and Deloitte book $500K–$5M engagements with six-month roadmaps, then hand off Confluence pages. Nothing ships for SMBs at that price.
What a Managed AI Provider Delivers
We deploy and operate AI workers that live inside your day-to-day:
On Your Existing Surfaces
Telegram, Slack, Signal, email, phone — wherever your team already works. We meet them where they are; we don't ship another app for them to forget.
Operating Your Actual Tools
Deploying code, updating your Google Business Profile, drafting invoices, closing bug tickets, running social posts, pulling CRM data. Real work. Not chat responses.
With Your Own LLM Account
You own the Claude / OpenAI / Bedrock bill. Your data, your budget, your control. We manage the bot, not your cloud. MSP-native pattern — the way SMBs already know how to buy.
Supervised by Humans Who Know You
Monthly business reviews, SLA-backed response times, proactive runbooks. When something breaks, a human responds — not a chatbot apologizing for the inconvenience.
Three Tiers — The MSP Playbook, Re-Run
Same tiered structure that worked for 30 years of Managed Service Providers. Applied to AI.
Tier 1 — Shared Managed Bot
$2K–$3K/mo
Runs on AImpact Nexus shared infrastructure. Ships in 3–7 days from contract to live bot. Best for single-department automation, first-time AI buyers, and solopreneurs scaling past themselves.
Tier 2 — Dedicated Managed Instance
$5K–$10K/mo
Runs on a customer-owned VPS with your own LLM account. Full codebase access. Your data never leaves your cloud. Ships in 2–4 weeks. Best for multi-department operations, regulated industries that need data locality, and businesses scaling past one bot.
Tier 3 — Enterprise / Regulated
$15K–$50K+/mo
Bedrock API with signed BAA, zero-data-retention, private VPC deployment. Custom integrations (EHR, NetSuite, Salesforce, proprietary systems). Dedicated on-call engineer with paged SLAs. 6–8 week onboarding. Best for clinics, legal firms, financial services — anyone under compliance obligation.
Always Included
- ✓ Bot architecture, build, and deployment
- ✓ 24/7 supervision + automatic restarts
- ✓ Monthly SLA: response time, uptime, incident reports
- ✓ Quarterly business reviews
- ✓ Runbook updates as your tooling evolves
- ✓ Channel and integration additions (new Slack MCP? Included.)
Billed Separately (Transparently)
- • LLM API consumption — you own the bill, we publish daily usage
- • VPS hosting (~$12–$40/mo per bot on DigitalOcean)
- • Per-integration one-time wiring fees (EHR, NetSuite, custom APIs)
- • Major platform migrations (e.g., Slack → Teams)
What a 30-Day Engagement Looks Like
No six-month roadmap. No Confluence pages. Four weeks from contract to a working bot in your workflow.
Week 1: Discovery
We spend time in your workflows. We do NOT sell "an AI platform." We propose exactly one bot with a named role — e.g., "RHTV will get an in-app bug-intake agent that ships fixes."
Week 2: Architecture + Deployment
Bot provisioned. Allowlist wired. First integration live (usually your messaging surface). Early test conversations start flowing.
Week 3: Shadow Mode
Bot is live, but humans review everything before it acts. We tune based on what they catch. No customer-facing mistakes on our watch.
Week 4: Go-Live
Bot operates independently. Handover session. First monthly business review scheduled 30 days out. You have an AI teammate doing real work.
Why AImpact Nexus Can Run This
Andy Oberlin spent nearly 20 years running 4eos, a regional Managed Service Provider. He knows the onboarding friction, the SLA muscle, the monthly recurring pricing math, the “Tuesday morning outage” response playbook. The MSP business is already in his hands. He's not learning a new business — he's re-running a game he already won, on a new substrate (AI) where 99% of incumbents can't build.
Nearly every traditional MSP in the country is trying to add “AI managed services” as a Copilot reseller play. They can't build. Nearly every AI-native boutique chases Fortune 500 logos at $500K minimums. They won't take SMB. The chasm in the middle is what the Managed AI Provider category owns — and we're here to own it.
Book a Call With Andy →Frequently Asked Questions
What is a Managed AI Provider?
A Managed AI Provider (MAP) is a business that builds, deploys, and operates AI workers inside your organization under a monthly recurring contract. It applies the proven Managed Service Provider (MSP) model — tiered pricing, SLA-backed response, hands-on operation — to the AI era. Instead of buying AI tools and configuring them yourself, you hire a MAP to run the whole AI workforce.
How is a MAP different from an MSP?
An MSP manages your IT: servers, networks, endpoints, backups. A MAP manages your AI workforce: the bots that answer customer questions, close support tickets, draft invoices, deploy code, and operate your day-to-day. Same operational discipline (monthly recurring, SLA, tiered service). New substrate (AI instead of IT).
How is a Managed AI Provider different from an AI consultancy?
AI consultancies write strategy decks and hand them to you. Managed AI Providers ship working bots in Week 2 and operate them every day after. A consultancy bills for hours spent thinking. A MAP bills monthly for outcomes delivered. If nothing is operational 90 days in, you hired the wrong one.
What does a Managed AI Provider actually deliver?
Working AI workers with named roles — bots that live on your existing messaging surfaces (Telegram, Slack, email, phone), operate your existing tools (CRM, deployment, scheduling, billing), and run against your existing data. Always-on, supervised, tuned monthly. The deliverable is never "here's a prompt library" — it's an AI teammate with a Slack handle and a job description.
How much does a Managed AI Provider cost?
AImpact Nexus offers three tiers. Shared Managed Bot: $2,000–$3,000/mo, runs on our infrastructure, ships in 3–7 days. Dedicated Managed Instance: $5,000–$10,000/mo, runs on your own VPS with your own LLM account, ships in 2–4 weeks. Enterprise/Regulated (HIPAA, SOC 2): $15,000–$50,000+/mo, private VPC and dedicated engineer, 6–8 week onboarding. LLM usage, hosting, and custom integrations are billed separately and transparently.
Who owns the data and the AI account?
You do. In our Dedicated and Enterprise tiers, the bot runs on your VPS using your own Claude / OpenAI / Bedrock account. Your data never leaves your cloud. You see the daily AI usage bill. If you ever part ways with us, you keep the bot, the data, and the account. No vendor lock-in.
Why is AImpact Nexus qualified to be a Managed AI Provider?
Andy Oberlin ran a regional MSP (4eos) for nearly 20 years before founding AImpact Nexus. He knows the MSP playbook — the onboarding friction, the SLA language, the monthly pricing math, the "Tuesday morning outage" response muscle — because he ran that business. Most traditional MSPs can't build AI. Most AI-native boutiques can't run a managed services business. AImpact Nexus does both, which is rare.
How do you handle HIPAA, SOC 2, or other compliance?
Compliance-bound work runs on our Enterprise tier, which uses the Commercial LLM API (AWS Bedrock with signed BAA) rather than consumer-tier Claude accounts. We deploy inside your private VPC with zero-data-retention configuration. Dedicated engineer, paged on-call, audit-trail logging. This is the tier for clinics, legal firms, and financial services.