IT & AI Infrastructure co-build workshop
Coming soonHalf a day with the people who do the work. You leave with one working agent on your own data, not a slide about one.
Automate helpdesk workflows and roll out AI capability across the company on infrastructure your IT team already trusts and governs.
Contact salesarrow_forwardAccess, setup and how-do-I questions get a cited answer from your own runbooks before they reach the queue.
Each agent is built against the connectors, clouds and models your team has approved, and that choice is written down.
IT can see what an agent may read, what it may change, and who approves before it changes anything.
Each agent names what it reads, what it writes, and where a person still signs off. Open any card to see it in full.
Answers common IT questions from your runbooks, and raises a ticket when it cannot.
Classifies incoming tickets, attaches the runbook and proposes the right queue.
Builds the access and equipment checklist for a role and drafts the IT tasks.
Handles tool requests: what is approved, which licence pool, and who signs off.
Captures a team's agent request with the sources, rights and approvers it needs.
Compiles what agents ran, what they read and which gates fired, ready for review.
Every agent runs on systems you already use, through your existing permissions — no new data store, no re-permissioning exercise.
Every capability is designed around the real workflows your team uses every day.
Common IT queries — password resets, software access, network troubleshooting — get handled by AI before they reach your team.
Deploy AI access with role-based permissions, audit logs, and data controls your IT and security team can actually sign off on.
New employees get guided through IT setup and access without IT involvement at every step.
Working sessions where teams build a first agent on their own data. Dates for the next round are not set yet.
Half a day with the people who do the work. You leave with one working agent on your own data, not a slide about one.
A live session on what the harness has to know before an agent’s output is worth reading.