AI Agents & AI Infrastructure
Agents that work inside your systems with permissions and an audit trail, models hosted where your data has to stay, and single sign-on and monitoring around all of it.
What is included
- AI readiness review and rollout plan
- Agents over documents, tickets, email and your CRM
- Private model hosting and GPU infrastructure
- Guardrails, permissions and audit logging
- Integration with Microsoft 365, CRM-NG and your line-of-business systems
- Staff workshop and policy
AI is useful when it works inside your own systems on your own data, with the same permissions a staff member would have and a log of what it did. That is what we build: agents over your documents, tickets and email that answer, draft, file and flag, and stop when a human should decide.
We also build the infrastructure under it: private model hosting for data that cannot leave, GPU capacity sized to the job, single sign-on and monitoring. We use AI-assisted development every day; CRM-NG was built that way. We start every engagement with a readiness review so you buy the right amount.
A good fit if
- Staff already paste company data into public AI tools.
- The same questions arrive by email a hundred times a month.
- You want to try AI on something real before committing to a platform.
How it works
- Step 1
Readiness review
Two weeks: what data you have, what is allowed, what would pay back first.
- Step 2
Pilot
One agent on one job, measured, with a human in the loop.
- Step 3
Roll out
Hosting, SSO, monitoring and training, then the next job.
Industries that ask for this most
On a service plan
Use your included hours for this.
Every plan includes hours of work or consulting each month, priority in the queue and InfraGuard monitoring. Most of what this page describes can be done inside those hours or quoted as a fixed project.
Start with an assessment.
A 30-minute call, then a one-page map of where you stand and what we would do first. No obligation.
