A partnership opportunity — not a product, not a pitch

The managed services market is about to split in two.

Every professional services industry that has gone through an AI transition has followed the same pattern. The tools get good enough, delivery costs collapse for the providers who adopted them, and the ones who waited compete on price against an economics they cannot match. Managed services is next. ClearOps is the identity-first foundation we built so the MSPs who see this coming are positioned before the window closes.

  • Brokered credential access — the technician never holds the password
  • Immutable audit trail — built for cyber insurance and CMMC 2.0 evidence
  • Semantic knowledge — every session compounds client-specific intelligence
24 months Window before the MSP market stratifies between built and scrambling
60 → 25 min Monthly maintenance per server, technician-approved, AI-executed
28% → 89% Agent accuracy: naive document retrieval vs semantic-fragment architecture

Why now

Three forces are converging in the MSP market at the same time.

Cyber insurance

Carriers are tightening requirements faster than most MSP owners track. Access controls, audit trails, and credential handling are moving from best practices to underwriting requirements. MSPs that cannot demonstrate them are already running into renewal friction.

Compliance

CMMC 2.0 Level 2 is a contractual obligation for any client touching defense contracts — enforcement began in 2025. Healthcare, legal, and financial clients face their own frameworks. Every one of them asks the same question: who accessed what, and when? ClearOps makes that answer a log entry, not a conversation.

AI capability

Local models running on commodity hardware already handle L1 and L2 network engineering autonomously. The cost of AI-driven operations is collapsing while human labor costs hold steady. The gap widens every month.

Architecture

The foundation starts with the hardest problem first.

How do you let an AI agent or a technician operate on client infrastructure without ever exposing a credential? ClearOps answers that with identity-first brokered access — and everything else is built on top of that answer.

Identity system

Keycloak verifies identity and roles.

Identity and authorization live separately from secrets. The system knows who is acting, what they are allowed to do, and whether their session is valid.

Secret system

Vaultwarden stores the credential, not the user context.

Credential values remain isolated in the vault. The store does not decide policy and does not need to know who requested the secret.

Broker layer

vault-api is the only place the two worlds meet.

The broker validates the JWT, checks tenant policy, retrieves the secret, and passes it directly to the automation layer while writing a full audit event. The technician never sees the password.

1

Request

A technician or agent requests access to a client system by logical name.

2

Verify

The broker validates identity, audience, policy, and tenant-level authorization.

3

Retrieve

The vault decrypts the credential only long enough for the approved workflow to run.

4

Execute

Browser automation completes the login while the audit trail writes itself.

Running in production

This is not theoretical architecture. We have been running autonomous AI-driven access against live client infrastructure for several weeks using brokered credentials. The system logs in through browser automation, executes the defined workflow, captures results, and writes a complete audit trail — without the technician ever seeing or handling the credential.

Why it compounds

ClearOps is not just an efficiency layer. It is a knowledge layer.

Most MSP documentation — IT Glue, Confluence, every platform in the market — stores knowledge for humans to search and read. A technician opens an article, interprets it, applies the logic. The knowledge serves the human.

ClearOps stores knowledge for AI retrieval. Every captured insight is structured as semantic fragments the agent queries automatically when it encounters a relevant situation. It pulls the two relevant sentences about the Tuesday night batch job the moment the incident fires, instead of restarting the server six times because nobody thought to search for the article.

ConnectWise and Kaseya are optimizing the current model. ClearOps is building the foundation for the next one.

Human-centric documentation

Articles, wikis, and notes for technicians to interpret.

Knowledge is manually searched, read, and applied under pressure. Resolution quality depends on whether the right article exists and whether someone retrieved it.

Machine-ready knowledge

Semantic fragments and structured relationships for AI retrieval.

Relevant context is pulled into the workflow automatically when the agent encounters the problem. Resolution quality improves with every session.

28% → 89% Independent research on enterprise agent accuracy shows naive document retrieval at 28% on relational tasks; semantic-fragment architectures like ClearOps reach 89% on the same queries, and 45% → 85% on multi-hop reasoning where the agent has to connect a client system, a known failure mode, and a recent change.

Operational reality

Built for the fragmented systems MSPs actually have to support.

Browser automation

Works as the universal adapter when APIs do not exist or when vendor portals, legacy apps, and web workflows break traditional RPA patterns that depend on hard-coded selectors.

Autonomous maintenance

Maintenance workflows execute against defined success criteria, generate compliance documentation at session end, and fail loudly when an unfamiliar state is encountered.

Auditable execution

Every approved action is tied back to a specific identity, system, timestamp, and access path, so the cyber-insurance evidence is created as a byproduct of the work, not reconstructed afterward.

Partner pilot

We are looking for one MSP partner to shape the next operating model with us.

We are not looking for a customer. We are looking for one MSP partner who sees the same transition we see and wants to be positioned ahead of it rather than responding to it after the fact.

What the right partner brings

  • Real technician workflows across multiple client environments
  • Operational edge cases that only appear in production
  • A genuine interest in building ahead of the market rather than reacting to it later

What the pilot is meant to prove

  • Credential security works as described in live operations
  • Maintenance efficiency and documentation gains are measurable
  • The knowledge layer begins accumulating client-specific intelligence

How the 90 days are structured

  • Days 1–30: audit wasted hours and select the initial workflow
  • Days 31–60: deploy the agentic layer into real technician channels
  • Days 61–90: measure outcomes, documentation quality, and operating leverage
Scope3–5 client servers of your choosing
Duration90 days
Onboarding timeApproximately 2 hours of technician time total
Ongoing time20–25 minutes per server per month, versus 60–90 today
Owner timeOne 30-minute monthly conversation
Financial commitmentNone during the pilot period
Success criteriaDefined together before we start — not by us alone
ExitIf the results do not materialize we part ways honestly

What we bring

  • Brokered credential architecture running in production
  • AI-driven browser automation for any web-based system
  • Immutable audit trail built for cyber insurance compliance
  • Knowledge architecture structured for AI retrieval
  • Runbook configuration for your client environments
  • Technical build, maintenance, and all hosting

What you bring

  • 3–5 client servers for the pilot
  • One technician (~2 hours onboarding)
  • Operational feedback during the pilot
  • Monthly 30-minute conversation
  • Honesty about what is not working

Contact

If you see the same transition we see, the conversation starts with thirty minutes.

No deck. No pitch. A direct conversation about whether this is the right fit for both of us. Include your MSP size, vertical focus, and the workflows you think are most ready for an agentic pilot.

Suggested subject ClearOps MSP Partner Inquiry
Based in West Hartford, Connecticut