Industries/IT & Managed Services
IT & Managed Services

You catch the error in December. It happened in March.

For IT and managed service providers, we build review workflows that flag mistakes when they're still cheap to fix — and take the repetitive documentation off your engineers.

The problem

MSPs and IT service firms live on volume and precision at once. Tickets, quotes, purchase orders, expense reports, benefits administration, payroll uploads, contract reviews — high frequency, low tolerance for error, and almost always one person checking alone.

The errors that hurt aren't the obvious ones. They're the small ones that don't surface until a year-end reconciliation, when they're expensive and awkward to unwind.

Documentation is the other tax. Runbooks, client-facing incident summaries, QBR decks, and process notes are the first thing to slip when the queue is full — and the first thing anyone wants when something goes wrong or a client is up for renewal.

And the work is genuinely mixed: a large chunk of most roles is mechanical, a smaller chunk is pure judgment, and the mechanical half eats the time the judgment half deserves.

Where AI fits

Three places it pays off first.

Review before it's expensive

Checks that catch errors at entry rather than at reconciliation.

Documentation as a byproduct

Producing the write-up from the work, instead of after it.

Sorting the queue

Separating the mechanical half of a role from the judgment half.

The catalog

The workflows we build.

Not a menu you buy off. It's the work we've actually built in this industry — start with the one costing you the most hours.

Service delivery

  • Ticket triage, categorization, and summarization
  • Recurring issue and pattern detection across the queue
  • Runbook and internal documentation generation from resolved tickets
  • Client-facing incident and resolution summaries

Quoting and procurement

  • Quote generation from specs and current pricing
  • Vendor quote comparison and normalization
  • Purchase order generation and tracking
  • Order review against what was actually quoted

Back office and finance

  • Expense report review against policy
  • Payroll and benefits upload validation against current contribution rules and limits
  • Invoice and billing reconciliation
  • Renewal and subscription tracking

Contracts

  • MSA, SOW, and vendor agreement review against your standard terms
  • Risk flagging with plain-language explanation
  • Renewal date and obligation tracking

Client reporting

  • QBR decks assembled from your own service data
  • Security posture and compliance summaries
  • Utilization and SLA reporting

AI governance — for you and for your clients

  • Acceptable use policy: what's allowed, what isn't, who approves
  • Data handling and classification rules
  • Review and approval workflows
  • Staff training and rollout
What we don't automate

The judgment calls. When we build an email triage workflow, it handles the routine half so the genuinely hard messages get full attention — it doesn't answer them. Same with reviews: the skill flags, a person decides.

The engagement

What working together looks like.

We start where a mistake is most expensive and a human is checking alone. We build the review, prove it catches things, and only then extend it into generating the document. Reviewer first, doer second — that sequence is how trust gets built.

Phase 1

Research

We map how work actually moves through your business — not the org chart, the real path — and quantify where the hours go.

Phase 2

Build

We build inside the tools you already own. No new platform, no custom system that breaks when the technology changes, no vendor lock-in. Everything we build belongs to you.

Phase 3

Train

We teach your team to run and extend what we built, so the next workflow doesn't require us.

Common questions

What this industry always asks.

"We're a security firm. Why would we put our data into an AI tool?"

Fair, and we'd ask the same. We don't build a separate system that holds your data. We build inside the subscription you already own, inside your existing permissions and access controls.

"Shouldn't we just ban it until we have a policy?"

Bans don't work — people use it anyway, on personal accounts, outside your visibility. That's the actual risk. A clear policy plus sanctioned workflows is both safer and faster than a prohibition nobody follows.

Where to start

Pick the process where a mistake costs you the most.

Two weeks, one review workflow, and you'll see what it catches.

Let's build your
AI advantage.

Book a free 30-minute strategy session. We'll look at your workflows, find the biggest opportunities, and show you exactly what AI can do for your team.

Book Your Free Strategy Session
Book Your Free Strategy Session