Central provisioning
Spin up agents for one person or ten thousand. Templates keep every deployment consistent and on-policy.
AI agent provisioning & governance
Give every employee a vetted AI agent. Keep IT in control.
AI-Provision Control Plane lets you provision, manage and govern AI agents for your whole organisation from one place — with the access rules, audit trails and spend limits your security team actually wants.
Trusted by teams at
NorthwindLumenApex BankVela
Customer Support42 seats · gpt-class
CS
RT
KB
+39
Active
Finance & Ops18 seats · restricted data
FN
RC
+16
Secured
Engineering67 seats · code + tools
DV
QA
SR
+64
Active
Sales— provisioning
SD
+9
Pending
194 agents deployed
$0.00 over budget this month
Built for the modern enterprise stack
OktaAzure ADSlackWorkdayServiceNowSnowflake
How it works
From zero to a governed AI workforce in four steps.
A repeatable rollout your IT and security teams sign off on once, then run for the whole company.
STEP 01
Connect your directory
Sync people, teams and roles from your identity provider with SSO and SCIM. No new user list to maintain.
STEP 02
Build agent templates
Define which models, tools and data each role can use. Approve once; reuse across every department.
STEP 03
Provision in bulk
Assign agents to a person, a team or the whole company in a click. Onboarding and offboarding are automatic.
STEP 04
Govern & report
Watch usage, cost and policy in real time. Every prompt and action is logged for audit and compliance.
Platform
Everything you need to run AI like core infrastructure.
One control plane for provisioning, security, cost and compliance — instead of a dozen disconnected tools and personal accounts.
Role-based access
Tie every agent to your identity provider. Permissions follow the person, not a shared login or rogue API key.
Cost & usage governance
Set budgets per team, model and project. See spend before it happens and stop overruns automatically.
Data boundaries
Decide what each agent can read and retain. Sensitive sources stay walled off and never train external models.
Full audit trail
Every prompt, tool call and response is captured with who, what and when — exportable for security review.
Model routing
Mix providers and models behind one interface. Route by task, cost or region without changing how people work.
Security & compliance
Control that satisfies your security team — not just your end users.
AI-Provision treats AI like any other system of record: governed, logged and revocable. Roll out broadly without losing the ability to say exactly who can do what.
- ✓SSO & SCIM with automatic de-provisioning when someone leaves
- ✓Granular policy controls per role, team and data source
- ✓Encryption in transit and at rest, with regional data residency
- ✓Exportable audit logs for SOC 2, ISO 27001 and GDPR reviews
Access policyEngineering · code execution Enforced
Data residencyEU region · at rest Enabled
Monthly budget$24,000 cap · 61% used On track
Audit exportSIEM · daily Streaming
OffboardingHR-triggered · auto Live
By the numbers
Less shadow AI. More measurable impact.
8min
Average time to provision a whole team
100%
Of agent activity captured in the audit log
31%
Average reduction in per-seat AI spend
0
Personal API keys left ungoverned
Pricing
Simple plans that scale with your rollout.
Start with a single team, expand to the whole organisation when you're ready.
FAQ
Questions teams ask before rolling out.
What exactly is an "AI agent" here?
An agent is a configured assistant with a defined model, set of tools and data access, scoped to a role. AI-Provision lets you template these once and assign them to people, so everyone gets a capable, on-policy assistant rather than a blank chat box.
Do you store or train on our data?
No. Your prompts, documents and outputs are never used to train external models. You control retention per agent, and sensitive sources can be walled off entirely. See our Privacy Policy for details.
Which identity providers do you support?
AI-Provision works with major SSO and SCIM providers including Okta, Microsoft Entra ID (Azure AD) and Google Workspace, so access and offboarding stay in sync with your directory automatically.
Can we use our own model providers?
Yes. Route across multiple model providers behind a single interface, and pin specific teams or tasks to specific models or regions for cost and compliance reasons.
How long does a rollout take?
Most teams connect their directory and provision their first department within a day. A company-wide rollout is typically a matter of weeks, paced by your own change-management process rather than the platform.
Ready to give your whole company governed AI?
See AI-Provision Control Plane in a 30-minute demo tailored to your stack, your security requirements and your rollout plan.