Production AI you can defend.
Most AI pilots stall on one question: when the agent is wrong, what happens — and who can prove what it did. Governance is the discipline that separates the 12% of agents that reach production from the 88% that never leave the demo.
Controls we wire in before the first prompt ships.
A demo runs once. A production agent runs thousands of times against money, patients, or contracts. So every engagement gets four controls that make the agent measurable, observable, and reversible from the day it goes live.
Scored against ground truth
Every agent ships with an eval set. Outputs are graded against known-correct answers, so accuracy is a number, not an opinion.
pass target % · regressions 0
Monitored in production
Model behavior changes as inputs and providers change. We watch score, latency, and refusal rate so quiet degradation is caught before users feel it.
alert threshold · −3% · armed
Every decision cited
Each output is logged with the inputs, the reasoning, and the source it drew from — a defensible trail for regulators, auditors, and internal review.
source § policy ref · logged
Human in the loop
Consequential actions stop for a person. The agent prepares decision-ready output; a human approves, edits, or rejects — and that choice trains the next run.
approve · edit · reject
An agent you cannot measure is an agent you cannot defend — and one you should not deploy.
Your data stays yours.
The fastest way to kill an AI program is a data incident. So we treat your information as a liability to minimize, not an asset to hoard. These defaults apply to every engagement; specifics are confirmed in scoping.
- Least-privilege access. Agents and operators get the narrowest permissions that complete the task — scoped per system, time-boxed, and revoked when the engagement ends.
- Data stays in your environment. Where your policy or regulator requires it, processing runs inside your cloud and tenancy. Nothing leaves a boundary you have not approved.
- No training on your data without consent. Your prompts, documents, and outputs are not used to train models. Provider settings are configured to match, in writing.
- SSO and role-based access in scope. We design for your identity provider and role model so access is governed by the same controls as the rest of your stack.
Honest about what aligned means.
We say aligned, not certified — words like that carry legal weight, and we won't borrow trust we haven't earned. Here is exactly where we stand.
- BAA / HIPAA-aligned healthcare. Engagements that touch protected health information are designed to be HIPAA-aligned, with a Business Associate Agreement and least-privilege handling agreed during scoping.
- SOC 2-aligned practices. We operate to SOC 2-aligned controls — access management, logging, change control, and vendor review — and will walk your security team through each.
- NDA-friendly. We sign your NDA before the first working session. Sensitive material stays inside the engagement and is purged on close.
Questions security teams ask first
How do you ensure AI agent accuracy?
Every engagement includes an evaluation framework from day one. Agents are scored against ground-truth sets before launch, and drift is monitored continuously in production so accuracy stays a measured number, not an assumption.
Can you sign a BAA and handle HIPAA data?
Yes. Healthcare engagements are designed to be HIPAA-aligned, with a BAA and least-privilege data handling agreed as part of scoping. We confirm the specifics with your compliance team before any protected data is touched.
How do you keep a human in the loop?
Agents produce decision-ready output and stop for human approval on consequential actions. The approve, edit, or reject surface is part of every production build — and each decision feeds back as signal for the next run.
Do you keep an audit trail?
Yes. Every agent decision is logged and cited to its source, producing defensible audit trails for regulators, investors, and internal review. You can trace any output back to the inputs and reasoning that produced it.
Bring us the workflow you can't risk getting wrong.
The agents that survive contact with production are the ones built to be measured, watched, and overruled. Let's scope yours that way from the start.