Part of our Engineering agents
AI agents for engineering teams in IT services
Actionist is an AI automation tool whose agents operate the repos, pipelines and migration consoles your MSP engineers already use, from rebuilding a cutover status by hand to a single page that is already assembled.
Script reviews, migration batches and change evidence tracked across every client project, ready before the stand-up.
AI Employees for IT Services Engineering in 4 simple steps
Manual Time
We'll go over where you currently waste your time doing manual tasks.
Actionist Automations
We'll show you exactly how Actionist can automate these manual tasks.
Your Benefits
How much time and money you'll save by onboarding AI agents.
Easy to use
We'll show you how easy it is to enable AI across your business.
Where you spend your time
We know how your week actually goes
- Script changes reviewed and releasedPull requests on the shared library never sit unseen, and each release is tagged.
- Migrations tracked to cutoverBatch results, failed mailboxes and client approvals sit in one status view.
- Changes backed by evidencePilot results, config diffs and rollback packages are gathered before the window.
- Monitoring noise trimmedFlapping monitors and ignored alerts are listed for tuning, not endured.
- Firmware and cloud drift caughtAdvisories are matched to client devices and exposed keys or buckets are listed.
- Incidents documented properlyP1 timelines, runbook updates and problem records are drafted while memories are fresh.
And hundreds of other tasks you do manually..
An agent can take a lot off your team's plate. Take a look below to see the time and cost you could save by adding AI agents to your IT Services Engineering team's day.
Where the hours go
A script fix for a broken client policy sits in a pull request for three days because the one engineer who owns the module is on a project, and nobody chases, so the clients stay broken.
An agent watches the repos, names each change waiting past a day, and nudges the module owner in Slack with the client impact attached, so reviews stop blocking releases.
On cutover weekend the project lead has to ask three people for mailbox batch status, failed items and client sign-off, and compile the answer from memory and half-finished notes.
An agent reads the migration console on a schedule, groups failures by cause, tracks the client approvals, and keeps one status page current for the lead.
A critical firewall advisory is read on Monday, but working out which clients run the affected firmware takes until Wednesday, because each device list has to be opened one by one.
An agent matches each advisory to the client device list as soon as it appears, ranks clients by exposure, and drafts the notes for an engineer to approve.
After a P1 the engineers piece the timeline together from alerts, ticket notes and chat scrollback, and the root cause write-up slips for weeks, so the same fault repeats at another client.
An agent gathers the alerts, notes, chat and change records into an ordered timeline and drafts the root cause note, leaving the conclusions to the engineers who handled it.
Actionist Will Automate
What one automation looks like
A week with your IT Services Engineering agents
Some of the apps for your IT Services Engineering team
Some of the apps your engineering agent operates for you. Hundreds more are in the Actionist App Store.
Your Agent wakes up Automatically whenever something happens
Your agents watch the apps you already use and act the moment something happens, usually within about a minute, handle it based on your instructions, 24/7.
Use cases for this team
Your benefits
Where the time goes back
What you do manually today
What your agent runs for you
- Engineering70 min / weekChasing reviews on the script library
Scrolling the GitHub and GitLab pull request lists, working out who owns each module, and messaging reviewers one by one while clients wait for a fix.
Engineering Agent0 minAgent names stalled changes and nudges ownersAn agent finds each change waiting past a day, adds the clients it affects, and nudges the module owner in Slack. Merging remains an engineer's decision.
- Engineering90 min / weekReading pipeline failures
Opening each failed run, scrolling to the lint or test error, and guessing whether the runner or the commit caused it.
Engineering Agent0 minAgent reads the log and names the failing testAn agent reads the failed log within about a minute, separates a flaky runner from a broken change, and posts the failing test with its likely owner.
- Engineering240 min / weekTracking a tenant migration
Opening the migration console several times a day, copying batch results into a sheet, and asking the client for DNS and cutover approvals by email.
Engineering Agent0 minAgent keeps one status page currentAn agent reads batch results on a schedule, groups failures by cause and updates the project page. Client requests are drafted for the lead to approve.
- Engineering100 min / weekMatching a firmware advisory to the client estate
Reading the vendor advisory, opening each client's device list and working out who runs the affected model, usually after the weekend has passed.
Engineering Agent0 minAgent ranks clients by exposureAn agent compares the advisory with every client's device list and ranks clients by exposure, with a drafted note per account engineer for approval.
- Engineering120 min / weekReconstructing a P1 timeline
Piecing together alert times, ticket notes and chat scrollback from four tools, then writing the root cause note weeks later from memory.
Engineering Agent0 minAgent assembles the timeline and drafts the noteAn agent orders the alerts, notes, chat and change records, then drafts the root cause note for the engineers to correct and publish.
What that's worth
Calculate what your team saves
Based on typical team usage: the visible tasks plus a few other automations the agent runs: ~6 hrs / person / week of admin work automated.
How easy it is to use
We'll do all the heavy lifting for you.
From entering your website address to having a working AI team, no effort from you.
- Step 1
Enter your website
- We'll research your business
- Automatically configure everything for you
- Step 2
Actionist Auto
Optional- Watches you work
- Creates your agents, workflows and schedules
- Step 3
Marketplace
- Hundreds of apps, plus agents and workflows
- Pre-configured by other users
- Step 4
Invite your team
- We'll automatically onboard them too
- Focus on the things that matter
Enter your website URL for a personalised demo
See exactly what Actionist would automate for your business.
You stay in control
An agent that reads repos, migration consoles and client configs only earns its place if an engineer decides what ships and what changes. Actionist keeps promotion, deployment and client messages in human hands and logs every read and every draft.
The agent assembles pipeline results, diffs and rollback links. Merging, promoting and deploying a change stays with a person, always.
Status notes, DNS change requests and advisory notices are drafted for review. Nothing reaches a client contact until an engineer approves it.
Deleting a resource, rotating a key or changing a firewall rule stops for explicit approval, whatever autonomy you set for lower risk steps.
Scripts, configs and project data are encrypted, never used to train models, and every action is logged. You can self-host Actionist on your own VPS.
More IT Services & MSPs teams
Frequently asked questions
Do my engineers need to be technical in a new way to use AI agents for engineering teams?
How do I get started with Actionist for script reviews and migrations?
How do I build a customised AI agent for our engineering routines?
How quickly can I set Actionist up for our engineering team?
Where do our scripts, client configs and project data live, and is it used to train AI?
How does the agent read migration consoles and vendor portals that have no API?
Will the agent merge code, deploy a change or edit a firewall by itself?
Can it decide whether a change is safe to go ahead?
How does it work when our scripts are split across GitHub, GitLab and Azure DevOps?
See an agent gather change evidence and nudge a stalled script review
Book a free demo and watch an Actionist agent read a pipeline failure, track a migration batch and assemble the evidence for a change window, ready for an engineer to decide.