CFO01 / 04
Chief Financial Officer
Can I sign off on an agent that touches the close?
A reconciliation-grade record of every figure the agent moved.
An evaluation, verification, and governance platform for enterprise AI agents, built for the leaders accountable when agents act.
For finance, legal, and accounting workflows.
The gap
As companies put agents into finance, legal, and accounting workflows, the liability moves up the org chart. Leaders inherit the risk with no tooling built for their sign-off.
Intellagentsia closes that gap with independent checks on what an agent did, what it touched, whether the boundaries held, and whether the output meets your company's requirements.
Chief Financial Officer
A reconciliation-grade record of every figure the agent moved.
Chief Information Security Officer
Scope and access attested on every run, not assumed.
Chief Technology Officer
Continuous evaluation against control runs in the live environment.
Chief Executive Officer
One trail of evidence, ready before the question is asked.
What we're building
The tools we currently have were built for models: single answers, graded once. Agents take actions, call tools, and decide on their own. They need something new.
Measure quality, safety, and robustness with evals built for agents, not just models. Catch failures before users or auditors do.
Create an independent record of what an agent touched, what it changed, and proof that the policy boundary held.
Enforce policy, controls, and accountability in production as agents and workflows change.
Why we're building this
Teams are racing to put AI agents into production. Almost none can answer a simple question: how do you know it's safe?
The tooling we currently have was built for models: for single answers, graded once. Agents are different. They take actions, spend money, call real APIs, and make decisions no one reviews. The blast radius is bigger, and the old playbook doesn't cover it.
We think the next decade of AI depends on a missing layer: a way to evaluate, verify, and govern agents with the same rigor we bring to the systems they're starting to operate.
We're building that layer with the teams who feel this problem most. If you're putting agents into accountable workflows, we'd love to build it together.
How it will work
Describe each agent, its tools, approval paths, and the policies that match your risk profile.
Run evals and adversarial tests to measure performance, safety, and compliance before release.
Enforce policies in production, watch for drift, and keep audit-ready evidence as behavior changes.
We're selecting design partners in finance, legal, and accounting. Tell us where you're putting agents to work, and we'll be in touch.
Private beta opening to design partners in 2026