Governed Autonomy

Speed of automation. Control of a careful operator.

Autonomy is only worth having if you can trust it in production. So we draw a clear line, for every system, between the work it runs on its own, the moments it pauses for you, and the things a machine should never do at all.

01
Runs on its own

The work that should never wait

Capture, enrichment, scoring, routing, research, drafting, reminders, reporting. Bounded, reversible, high-volume work runs end to end at machine speed, with nothing for you to babysit.

02
Pauses and asks

The few moments a mistake is expensive

Spending money, the first message to a brand-new contact, anything published in public, irreversible changes, and every hiring outcome. The system stops, shows you the full context and a recommended decision, and waits for one click.

03
Never on its own

The line a machine should not cross

Entering credentials or payment details, acting as a person, or anything a platform forbids automating. Some things stay with a human, always.

The ring around everything

The approval trail is the product, not a badge.

Approval and reversibility

A hard human approval before money moves, before the first contact to a new person, before anything is published, before anything irreversible is deleted, and before every hiring outcome. Reversible by default everywhere else. Competitors treat this as a footer badge. Here it is the center.

  • Approval requested
  • Approval granted
  • Outbound paused, threshold breach
  • Rollback executed
  • Bias audit logged
Governance is the differentiator

The approval gate is not a constraint to apologize for.

Independent analysts forecast that more than forty percent of agentic AI projects will be cancelled by the end of 2027, and that a similar share of enterprises will demote or decommission agents once governance gaps surface in production. The prescribed remedy is rapid rollback, circuit breakers that halt on a threshold breach, and clear ownership of every decision.

That is the exact pattern our systems are built around. So we do not treat the human gate as a footer trust badge. We make it the center. It is the reason a system we ship is still running a year later, when the impressive demo got switched off.

The compliance posture, in plain English
  • EU AI Act, high-risk obligations

    Hiring AI is classified high-risk. We build to the human-oversight and documentation duties, with a bias audit by default.

  • NYC Local Law 144 cadence

    Annual independent bias audit, public posting, and candidate notice ahead of any automated step.

  • California automated-decision standards

    Anti-bias testing and multi-year record retention for systems that facilitate a human decision.

  • SOC 2 control posture

    We build to SOC 2 controls. Every action is logged and traceable to the human who authorized the workflow.

We name the frameworks, never the tooling. The point is the regime your system is held to, not the brand on the invoice.

How we build, in five lines.

Not a manifesto. The actual rules our systems are held to, every time.

  1. i.

    Governed by default

    Every part of the system has a defined scope and an owner. Nothing runs unaccountable.

  2. ii.

    Reversible over impressive

    We design for the rollback before we design the feature. If it can undo, it can be trusted.

  3. iii.

    Outcomes, never tools

    We are accountable for results: speed to lead, conversion lift, revenue recovered. The plumbing is ours to handle.

  4. iv.

    Observable or it did not happen

    Every action the system takes is logged and reviewable. You can always see what was done, and why.

  5. v.

    Honest engineering

    We tell you what is automated and what is not, what is working and what is not. No theater.

Autonomy you can actually trust in production.

One call. We show you exactly where a system would run on its own, and where it would stop and ask you.