Built around whatyou already use.
PRESHai works with the leading AI models, the business systems IT channel companies run on, and the AI platforms your people already know.
The modelsbehind the work.
The major providers
Anthropic, OpenAI, Google and xAI models.
Chosen per agent
Each agent is set to the model that suits its job.
Same rules
Your permissions, approvals and record stay the same whichever model does the work.
The systemsyou run.
A selection of the connectors in the PRESHos catalog. Where one does not exist yet, we build it with the connector SDK.
- HubSpot
- ConnectWise PSA
- Microsoft 365
- Google Workspace
- Google Calendar
- Gmail
- Slack
- Webex
- Twilio Voice
- Fireflies
- Ziflow
The platformswe manage.
Managed AI runs on the platform that fits how your team works.
- Choose it when AI needs to move work across several business systems, with custom permissions, approval steps and a clear record of what happened.
- Choose it when the priority is a broad employee workspace for writing, research, analysis, coding and approved connections to company tools.
- Choose it when the priority is document-heavy work, large amounts of context, coding and enterprise access controls.
Your stack stays.It becomes one network.
Each system stays the system of record. Agents work across all of them, and a person approves what goes back.
Relatedreading.
More on Platform
AI & Automation
AI Works on a Copy: Approval Before Anything Reaches a Live System
Agents can do real work on a working copy of your data while a person approves what goes back. Here is how a digital twin and an approval gate work together.
AI Engineering
Choosing a Model per Agent: Match the Model to the Job
Different agent jobs suit different AI models. Here is how to choose a model per agent, compare options fairly and keep your controls the same throughout.
AI Engineering
Field-Level Permissions for Agents: Control Down to the Field
Field-level permissions decide which parts of a record an agent can read or change. Here is how roles, scopes and fields combine, with a worked example.
Is your system on the list?
Tell us the systems and AI tools your team uses. We will talk through what connects today and what we would build.