AI security & operations for MSPs

03 Senior Engineer

A senior engineer for your MSP team

Hand Hal a hard question and he reasons it through against the client’s actual environment: the licensing, the sign-in history, the service accounts nobody documented. Then he comes back with a recommendation you can act on.

The bottleneck this is aimed at

Every MSP has two or three people who can answer the hard question, and a queue of people waiting on them. That queue is invisible on the P&L and enormous in practice: it is why migrations slip, why juniors take a year to become useful, and why your best engineers spend their afternoons answering questions instead of doing the work only they can do.

Hal takes the first pass at that queue. Not because the answer is always right, but because a reasoned answer against the real environment is a better starting point than a blank Slack message. And because a junior who can ask as many questions as they like, without feeling like a nuisance, learns faster.

What “against the real environment” means

He has already read the tenant through your integrations: the licensing, the directory, the sign-in history, the documented runbooks in Hudu or IT Glue, the open tickets in ConnectWise, the device inventory in NinjaOne. So when he says “do this first,” it is because of something specific in that client’s configuration, and he will tell you which thing.

Migration and rollout planning
What to fix first, and in what order, against what is actually in the tenant.
Architecture and configuration
Calls reasoned over the client’s real data rather than a generic best-practices list.
Second opinion
A review of a risky change before you make it.
Coaching
Walks a junior through a problem without tying up a senior for an hour.
Output
Answers in plain chat; drafts the policy or the checklist as a signed report when you ask.
A chat exchange in the Hal portal: an engineer asks whether to use Security Defaults or Conditional Access for a client on Business Premium, and Hal answers against that tenant's licensing, its three non-interactive service accounts and its travelling principals
This is what an answer against the real environment looks like. Not a best-practices list: three named service accounts Hal found in the tenant, one of which he recommends fixing rather than excluding.
A two-turn chat exchange in the Hal portal: asked what to fix in a client's sign-in data before an on-prem AD to Entra-only migration, Hal returns legacy auth still live on a copier fleet, a service account signing in from the old domain controller and MFA at 94 per cent, then on a follow-up identifies token replay from two networks presenting the same device ID and recommends revoking sessions and blocking hosting-provider ASNs
And the follow-up, which is where the value is. Asked for the single riskiest sign-in pattern, he separates token replay from impossible travel on the evidence, the same device ID from two networks forty minutes apart, then drafts the policy and the pre-migration checklist.

Questions this raises

How is this different from asking a general-purpose AI assistant?

A general assistant is reasoning about a hypothetical tenant, and it is very good at it. The difference is that it cannot know the thing that decides the answer: the service account nobody documented, the conditional access policy that will break the migration on Friday.

Will he just tell my junior what they want to hear?

He reads the full context before he commits to an answer, and he will tell you when the environment does not support the plan. Where he is uncertain, he says so rather than guessing confidently, which is the only version of this that is safe to give a junior.

Can I get his answer in writing for a client?

Yes. Ask for it as a report and you get a signed PDF that the client, or their auditor, can verify independently.

See what Hal surfaces on your own clients.

No deck. Ask us anything first. When you want to see Hal on your own tenants, we sign a short evaluation agreement and stand up your instance; you connect one tenant, Hal watches it for 14 days, and we walk you through what he found.

Book a walkthrough Pricing
  1. 01You ask us your questions. No deck, no demo dataset.
  2. 02You sign a short evaluation agreement, and we stand up your own instance.
  3. 03You connect one tenant from your own admin console. Hal watches it for 14 days.
  4. 04We walk through what he found. Keep going month to month, or revoke the scopes yourself and stop.