AI & service automation for MSPs

Your expertise.
A service you can sell again.

Bring AI agents, workflows and customer systems together in one multi-tenant platform. Define your service once, configure it for each customer, and manage delivery from request to result.

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?

Your team already has scripts, workflows and integration expertise. But every customer brings another setup, another version and another place to keep track of the work.

Repeat the setup.

Familiar work becomes another implementation, with new connections, customer rules and setup to repeat.

Maintain every version.

Scripts and flows sit across different tools and customer environments. Each variation adds work to fix, test and support.

Rely on one engineer.

Delivery and troubleshooting rely on the engineer who knows how everything fits together. That knowledge is hard to hand over and scale.

FEATURED WHITEPAPER · BEYOND RPA

Why workflows alone aren't enough.

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
1 / 3
MSP · Managed Integration as a Service

Integration expertise. A managed service.

onITnow uses Autom Mate as the foundation for Managed Integration as a Service. Its consultants can build, maintain and support integrations more easily, with faster implementation and more predictable service costs.

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.

FROM AUTOMATION TO A MANAGED SERVICE
Scripts & RPA
Workflows
Apps & APIs
AI agents
↓

Your service blueprint

01
Request
02
Rules & approvals
03
Execution
04
Verified result
↓
Configure for each customer

Customer A

Connections · Credentials
Customer rules

Customer B

Connections · Credentials
Customer rules

Customer C

Connections · Credentials
Customer rules

Reuse the service logic. Keep each customer’s configuration separate.
Track every request through its Service Case.

MSP FIELD NOTES · SERVICE ECONOMICS

Price the service. Not the workflow.

The platform behind your service

One platform, from design to delivery.

Explore how the parts work together.

Build once. Deliver for each customer.

Package your expertise into a reusable service. Define the work, approvals and outcome, then configure connections and rules for each customer.

Service blueprint Demo environment
Engage · Govern · Execute · Prove Enlarge image
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

Product view

Scroll or pinch to zoom · Drag to move · Fit resets the view

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

MSP FIELD NOTES · AI & CLIENT ACCESS

Before AI touches a client tenant.

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.

Pulse · customer viewDemo environment
Pulse demo environment with customer scope, running cases and work awaiting approval or a human task
Customer scope

Focus on one customer's delivery.

Work in flight

See the cases running now.

Human handoffs

Find what needs a decision.

Open the cases behind the numbers.Enlarge image +
Pulse product screen · Demo environment.

MSP FIELD NOTES · PSA & RMM

Connect the tools. Complete the service.

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.