Who We Help · CIO / Head of IT
Agentic AI for CIOs and Heads of IT — Get a Runtime Control Plane Over Every Agent
CIOs and Heads of IT are the buyer for AI runtime governance. The 2026 question isn't 'which model?' — it's 'what's actually running, who has access, what controls are enforced at runtime, and how do we disable a risky agent in minutes?' We stand up a control plane that answers all four across your tenant, in 10–16 weeks.
Where the friction lives
- ›AI spreading faster than central IT can inventory across teams, tools, and vendors
- ›Users signing into agent connectors with personal accounts
- ›Vendor consoles that only see their own tool — no cross-agent view
- ›No emergency stop when a specific agent, connector, or tool misbehaves
- ›Audit evidence scattered across Copilot, Claude, GPT-based tools, and custom agents
High-ROI use cases
Shadow-agent inventory
Discover every AI entry point across identity logs, network egress, expense data, and admin exports — sanctioned and shadow.
Coverage baseline established quarter one
SSO + gateway enforcement
Every sanctioned agent behind SSO with tenant accounts; personal-account sign-ins blocked at the gateway.
>95% of agents behind central gate
Tool-class approval routing
Read / recommend / write / execute classification with per-class approval rules and named approvers.
100% of write/execute calls approved
Kill-switch drills
Rehearsed revocation for user, agent, connector, and tool scope so the first drill isn't an incident.
Mean time to disable < 5 min
How we help
Inventory-first
We map every AI entry point in your tenant before designing the gate.
Reference architecture we've shipped
SSO → gateway → policy → router → tool adapters → audit is the pattern we install, not a diagram.
SIEM-native audit
Append-only, hash-chained logs exported to Sentinel, Splunk, or Elastic within minutes of the call.
Continuous red-teaming
Policy tests run against your gateway continuously so drift is detected, not discovered.
Vendor-neutral
Works across Copilot, Claude, ChatGPT Enterprise, and custom agents equally.
Engagement model & pricing
Typical program is a 10–16 week fixed-fee build. Weeks 1–3: inventory + policy design. Weeks 4–10: gateway, router, approval service, and audit build. Weeks 11–14: rollout to sanctioned agents. Weeks 15–16: kill-switch drills + handoff. Optional monthly governance retainer post-launch.
What you get
- One place to answer 'what's running, who has access, and what's enforced'
- SIEM-ready audit trail across every sanctioned agent
- Kill-switch drills rehearsed before the first incident
- Vendor-neutral — Copilot, Claude, and custom agents on the same rails
- Aligned to NIST AI RMF, ISO/IEC 42001, and OWASP Agentic Top 10
Frequently asked questions
Do we need to replace Entra or Okta?+
No. The control plane sits alongside your identity provider — we use it as the trust root, not replace it.
How do we handle SaaS Copilot deployments we can't put behind a gateway?+
Vendor SaaS gets governed at the identity + policy layer + license inventory; custom and API-based agents go through the gateway. The audit surface unifies both.
What about agents that live outside our tenant?+
The inventory phase surfaces them explicitly. From there it's a policy call — sanction + gateway, or block at the identity provider.
Does this cover MCP servers?+
Yes. MCP tools are classified, gated, logged, and reversible like any other adapter.
How does this compare to buying a vendor 'AI governance platform'?+
Most vendor platforms cover their own agents well and everyone else's poorly. Our build is vendor-neutral and installs into your existing identity + SIEM stack.