Industries Technology

Technology · For MSPs and technology firms

Automate your own delivery. Then sell AI to the clients you already have. Your clients are asking about AI. The providers who answer first, with a real offer and real guardrails, will own the next chapter of the relationship.

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TECHNOLOGYYOUAI SERVICES, TO CLIENTS YOU HAVE

What the research says about MSPs & tech firms

48%
of MSPs say AI and automation is their clients’ top need for 20261
Kaseya, 2026 State of the MSP Report, Apr 2026
13%
of MSPs earn meaningful revenue from AI and automation services2
Kaseya, 2026 State of the MSP Report, Apr 2026
28%
of IT service providers call themselves AI-driven, though 97% use some AI internally3
GTIA, State of the Channel 2026, Apr 2026
41%
of MSPs say their customers typically spend $25,000+ a year, down from 75%4
Kaseya, 2026 State of the MSP Report, Apr 2026

Good AI strategy is good business strategy

For an MSP, AI is both a margin lever and a product line.

Inside your business, AI takes repetitive work off your technicians and protects your margins. Outside it, your clients need someone they already trust to tell them what's safe, what's worth it and what to buy. Get the first right and you're credible selling the second.

What makes MSPs & tech firms different

Your industry's own challenges, before AI touches anything.

Technician capacity and margins

Every new client adds tickets faster than you can add people.

Repetitive tickets

Password resets and routine fixes eat the hours your best people should spend on projects.

Clients asking for AI help you can't price yet

If you don't have an answer, someone else will, and they'll take the relationship with them.

Shadow AI at your clients

Staff are already using AI tools with company data, and the security risk lands on you.

Tool sprawl in your own stack

Overlapping tools and licenses quietly eat the margin you're working to protect.

The research

Where MSPs are applying AI today5

  • Automating IT tasks (ticketing, patching, monitoring)53%
  • Security (threat detection, response)37%
  • IT documentation37%
  • Customer support and chatbots29%
  • Sales and marketing operations26%
  • Not using AI yet15%

Kaseya, 2026 State of the MSP Report, Apr 2026

Where AI actually pays off

Automate your own desk before you sell AI to clients. Where it usually pays off inside your shop, and the calls leadership keeps.

  • Human decides
  • AI drafts, a person approves
  • AI runs it, a person watches
  • Automated, inside your rules
AI runs it, a person watches

Ticket triage and routing

Tickets classified, prioritized and sent to the right tech automatically.

15.8 hrs average wait before an IT ticket is first assigned to anyone6

AI drafts, a person approves

Suggested answers from your knowledge base

Routine tickets get a drafted answer in seconds; the tech checks it and sends.

15% more issues resolved per hour by support agents working with an AI assistant7

Automated, inside your rules

Scripted remediation

Known fixes run automatically inside limits you set.

30% of MSPs say automation cut errors and mistakes, among their most-improved results8

AI drafts, a person approves

Client reports and QBR drafts

Account managers review and present instead of assembling slides.

40% less time on professional writing tasks with AI drafting, while quality rose 18%9

Human decides

AI readiness and governance for clients

A packaged, repeatable offer your team delivers and your clients pay for.

38% of organizations have a formal AI policy; a quarter have none at all10

Human decides

Pricing new AI services

What you sell, at what price, with what guarantees, stays a leadership call.

32% of MSPs are considering outcome-based pricing; far fewer have put it in place11

These are market averages, not promises. Published results describe what is typical across many firms. Yours depend on your data, your people and how the work runs today, so we assess every use case against your business first, set a baseline before anything changes, and measure the result so the outcome is validated, not assumed.

Your path

From first conversation to a business that runs better.

  1. Today · free00 · Start

    Start with one decision

    A 30-minute call, or the 20-question Gap Assessment. No pitch, no commitment.

    You getClarity on what to decide first

  2. First 30 days01 · Assess · Active Inquiry

    Audit your own stack and margins

    Our App Inventory Review of your own tools, plus where technician time really goes.

    You getYour App Inventory Review, with overlaps and savings priced

  3. Days 30–6002 · Apply · Actionable Insights

    Decide your AI offer

    What you'll sell clients, how it's packaged and priced, and the guardrails that make it safe to deliver.

    You getA packaged AI readiness and governance offer

  4. By day 9003 · Accelerate · Accelerated Impact

    Automate your own service desk

    Triage, first response and known fixes automated where it's safe, so the margin funds the new offer.

    You getTicket flow automated, technicians back on projects

  5. Months 3–904 · Automate · Only what has earned it

    Roll the offer out to your clients

    A repeatable program you run across your client base, measured and improved each quarter.

    You getA recurring AI revenue line with guardrails

Typical timing. Scope follows the complexity of the business, not its revenue.

See the AI Value Accelerator →

Where MSPs & tech firms usually start

Better business, not more tools.

Technology & AI Disruption →ROI From What You Already Bought →Growth & Scale →

Decide well. Then scale.

Tell us what's changing. We'll show you what to decide first.

Two ways in. Both free. Neither comes with a pitch.

30 MINUTES · FREE

Talk it through

Bring the one decision that keeps landing on your desk. You'll know in 30 minutes whether we're a fit.

Book a 30-minute call
20 QUESTIONS · FREE

Gap Assessment

See where your AI, processes, people and business are out of alignment, and which gap is costing you the most.

Start the Gap Assessment

Sources

  1. Kaseya, 2026 State of the MSP Report, Apr 2026. 1,061 MSPs worldwide (76% North America; about half with 25 or fewer employees), Nov 2025; vendor survey. View source
  2. Kaseya, 2026 State of the MSP Report, Apr 2026. 1,061 MSPs worldwide (76% North America; about half with 25 or fewer employees), Nov 2025; vendor survey. View source
  3. GTIA, State of the Channel 2026, Apr 2026. IT service providers; sample size not stated in the release. View source
  4. Kaseya, 2026 State of the MSP Report, Apr 2026. 1,061 MSPs worldwide (76% North America; about half with 25 or fewer employees), Nov 2025; vendor survey. View source
  5. Kaseya, 2026 State of the MSP Report, Apr 2026. 1,061 MSPs worldwide (76% North America; about half with 25 or fewer employees), Nov 2025; vendor survey. View source
  6. Freshworks, Freshservice Benchmark Report 2025, Aug 2025. Vendor platform data: 157.75M tickets from 10,551 organizations, mostly internal IT desks. View source
  7. Brynjolfsson, Li & Raymond, “Generative AI at Work,” Quarterly Journal of Economics, Feb 2025. Peer-reviewed field study, 5,172 support agents; gains were largest for newer agents. View source
  8. Kaseya, 2026 State of the MSP Report, Apr 2026. Vendor survey, 1,061 MSPs (76% North America); automation in general, self-reported. View source
  9. Noy & Zhang, “Experimental evidence on the productivity effects of generative artificial intelligence,” Science (reported by MIT News), Jul 2023. Randomized experiment, 453 professionals; general writing tasks, not QBRs specifically. View source
  10. ISACA, 2026 AI Pulse Poll, May 2026. 3,400+ IT audit, governance and security professionals worldwide. View source
  11. MSP GLOBAL, State of the MSP Industry survey (on the GTIA blog), Oct 2026. 1,500+ MSP responses worldwide since Jul 2025. View source
AI strategy for MSPs & tech firms · AI Advisory Group