AI & service automation for MSPs

Less repeat work.
More room to grow.

Go beyond RPA. Bring AI agents, workflows and business systems together on one multi-tenant platform. Build services once, adapt them for each customer, and turn your expertise into recurring revenue.

Request an MSP demo
See how it works ↓
One service. More customers.
1 / 5
Reusable service

Employee onboarding

Package first-day readiness as a managed service.

20
new starters to onboardExample month · 10 managed customers
A new starter requestAccounts ready. Access verified.
Works across your customers’ systems

Illustrative workloads, not industry averages. Adapt the service to your customers.

Why does every customer
mean starting again?

Different tools and processes turn the same request into another custom build. The effort grows with every customer.

Start again.

The next customer has a different stack, so familiar work becomes a fresh implementation.

Multiply the versions.

Every custom variation adds another place to fix, test and maintain.

Keep it in someone’s head.

The service depends on the engineer who knows how it all fits together.

Time, cost and service revenue

See what one service
could give back.

Estimate the handling time you could put back into customer work.

Time for your team.

Automate routine handling so your team can focus on exceptions and customer work.

Less setup per customer.

Reuse your service logic. Configure connections, approvals and rules for each customer.

A service customers can buy.

Package a defined outcome into a service customers can subscribe to.

Find your first service Bring one recurring request. We’ll map the delivery steps and what to measure in a pilot.
Your service. Your numbers.

What could your team get back?

Adjust the inputs to match your workload.

Manual handling80 hours/month
After automation20 hours/month
Estimated capacity released
60hours / month

Time your team could put into customer work, improvements or growth.

How this estimate works

Monthly requests × (manual minutes − minutes after automation) ÷ 60. Include exceptions and ongoing support in the handling estimate. Waiting for approval is not active technician time.

Illustrative inputs, not measured customer results. Capacity released is not automatically a cash saving. Include setup, platform and maintenance costs when building your business case.

Explore the full cost model →

Illustrative scenario · change the inputs to estimate your own capacity.

An opportunity to turn demand into delivery

Customers want automation.
Make it a service they can buy.

48%

of surveyed MSPs rank AI and automation as their clients’ top need.

13%

report meaningful revenue from AI and automation.

2026 MSP industry survey · 1,000+ respondentsIndustry survey findings, not Autom Mate performance results.

Services in practice
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MSP · Managed Integration as a Service

How onITnow delivers integration as a service.

onITnow reports faster flow implementation and more consultants able to build and support automations, helping it deliver Managed Integration as a Service.

Read the customer story
“Autom Mate has enabled us to deliver reliable integration workflows fast.”
onITnow · Managed Integration as a Service

Your expertise
is your product.

Define the service once. Adapt connections, approvals and SLAs for each customer, while keeping access and data separate.

The project model

Sell the work.

Build for one customer.

Maintain separate implementations.

Explain the value in hours.

The service model

Sell the outcome.

Define the service once.

Configure it for each customer.

Make delivery and evidence visible.

A clear request. A controlled process. An outcome you can prove.
An offboarding request moves through governance, execution and proof to a verified outcome across customer deployments

Employee offboarding is one example. The service model applies to the recurring work your team delivers.

MCP · Your AI assistant, connected

Describe the outcome.
Build it together.

On supported releases, create Services, Hyperflows and Apps through your AI assistant. Review the design visually, then test and deploy with your team’s permissions.

Example request

“Create an offboarding service. Get approval in Teams, remove Microsoft 365 access and record the result.”

DescribeReviewTest & deploy
Choose your AI assistant
1 / 2
Actual Claude connector setup for Autom Mate MCP, from the product documentation
MCP setup guide
Claude

Connect Claude
to Autom Mate.

Sign in to your workspace. The tools available to the assistant follow your permissions.

See the setup guide

One platform, from design to delivery.

Explore the parts behind your service.

Keep the visual control.

See the actions, approval branches and completion checks. Adjust the flow without losing the service context.

Application access Example blueprint
ServiceNowServiceNowAccess requestedRead the request
Microsoft TeamsMicrosoft TeamsApproved?Wait for a human decisionIf / else
YES
Microsoft 365Microsoft 365SalesforceSalesforce
Grant accessApply the agreed roles
Check & closeVerify access. Update the request.
NO Return the request with the decision. No access changes.
MCP

Build through conversation. Use the MCP tools enabled for your release to build with your AI assistant. Review visually, test and deploy with your team’s permissions.

Explore the docs

Their systems. Their agent.
Your service.

Customers subscribe to your service offering. They can request it through their service desk, a conversation or their own AI agent.

ITSM & ESM platforms

Conversation channels

Customer AI Agents & Automation

Autom Mate

Your service offering

InputsPermissionsApprovalsCompletion checks

Configure once per customer.
Deliver to a shared standard.

Result + evidence

Completed work across customer systems, or a clear exception for your team.

Connect through configured apps, APIs and MCP tools.

Customer-specific connectionsShared service logicVisible outcomes

See what is moving.
Know what is waiting.

Pulse brings service health and outcomes into one view. Follow the case when a customer needs an answer.

In progress
See running services and approval queues.

Outcome evidence
Separate verified results from unfinished work.

Follow-through
Open the service case and investigate the result.

Autom Mate Pulse overview with demonstration data, showing running cases, approval queues and outcome metrics
Pulse product screen · Presales demonstration data.

What could one
repeatable service earn?

Your service. Your pricing. More customers from the same delivery model.

Build the business case together.

Bring one recurring request and a pilot customer. We’ll map the service, delivery costs and evidence you need to sell it.

Discuss your first service
Model your service revenue
×
Try
Monthly service revenue$2,500$30,000 annualised
Factor in delivery costs

Monthly contribution $1,500

Revenue less the costs you enter. Include platform, people and other delivery costs.

Illustrative inputs only. Set your own customer price and delivery costs. This is not Autom Mate pricing or a revenue forecast.