
Agents inside the programyou already run.
For IT channel companies of 1,000 or more people. Our architects and engineers work inside your team, to your identity provider, your approval chain and your audit needs.
Whatchanges.
Identity
TodayEach AI tool brings its own sign-on and its own list of users.
With PRESHaiSSO and identity provider integration, with MFA support and directory sync.
Authorization
TodayAn assistant can do whatever the account it runs under can do.
With PRESHaiRoles for people and for agents, scoped to the object, the field and the record. Each action is allowed, sent for approval or denied.
Evidence
TodayNo single record of what AI did, or who approved it.
With PRESHaiRun and tool event traces and human approval records, with actor, action and outcome for each.
Where data lives
TodayData leaves for whichever service each tool uses.
With PRESHaiFor custom enterprise deployments, your data can be hosted in your own infrastructure.
What Managed AIincludes.
An embedded team working inside your program, with a steering rhythm you can hold us to.
Enterprise
An embedded team working inside your program.
- Architects and forward deployed engineers
- Weekly working sessions
- A monthly steering committee
- Quarterly review against agreed KPIs
A custom deployment,scoped with you.
Enterprise work is scoped with you before it is priced. It covers a PRESHos deployment built around your program and the team that works inside it.
Where togo next.

Security
Identity, policy and evidence across every agent run.

Trust
Security, governance, data handling and responsible AI.

Forward deployed engineering
Our engineers work inside your environment.
Relatedreading.
More on AI Implementation
AI Engineering
Connecting AI Agents to a PSA Without Replacing It
How to connect AI agents to your PSA while it stays the system of record: what syncs, what agents may read and change, and where a person approves the work.

AI & Automation
What Forward Deployed Engineering Looks Like Inside an MSP
What a forward deployed engineer does inside an MSP: where they work, what they build, what your team provides and how the build ends up in your hands.

AI & Automation
Handing an AI Workflow to Your Own Team
How to hand an AI workflow to your own team: what a handover contains, who should take it over, how to train them and how much you need to run yourselves.

Reviewing PRESHai for your program?
Bring us your security, procurement and architecture questions. We will walk through them with your team.