START WITH YOUR QUESTION

Do you want to build a governed AI agent or copilot?

We design the work before selecting the technology: what the agent may do, which decisions stay with a person, what information it can access and what happens when it cannot continue safely.

THIS IS PROBABLY HAPPENING TO YOU

The prototype responds. Operations still cannot govern it.

— The team knows the task, but not the operating model.
— It’s unclear what the agent decides and what the person keeps.
— Exception paths, permissions or quality criteria are missing.
— The prototype isn’t integrated into the real workflow.
— There are no evaluations or alerts to detect when behavior drifts.

THE PROBLEM BEHIND THE SYMPTOM

The challenge is not granting autonomy. It is designing its limits.

An agent without an operating model is a demo with permissions. What decides its fate isn’t the quality of its answers, but who responds when it gets something wrong and what happens to the cases that don’t fit.

HOW BECOME ADDS VALUE

We build the operating system around the agent.

We validate the blueprint, design human-in-the-loop oversight and controls, build and integrate the agent or copilot, support adoption, and measure trust, performance, control and value.

TOOLS

Agentic Workflow Blueprint™
Embed Scorecard™
Scale Readiness Gate™

WHAT GETS INSTALLED

An agent or copilot that participates in real work with explicit ownership.

WHICH CAPABILITY COMES IN

Build The agent, its integrations, its evaluations and the record of what it consulted.
Work What it decides, what escalates to a person, who approves and who owns the outcome.
Value Accuracy, escalation rate and how often human review actually changed the decision.

RECOMMENDED SERVICE

BECOME EMBED™

Subject to readiness: if the opportunity doesn’t yet have a validatable blueprint, we first run a short readiness gate.

WHAT CHANGES INSIDE

Agents never operate alone: Operations defines when they act and who answers.

Agents execute within explicit limits. Operations defines the workflow, exceptions and accountable owner. Data controls sources, access and traceability. People supervise and know when to intervene. Products makes the interaction understandable to the person using it.

Does this look more like one of these?

Scale AI beyond pilots

Prepare teams to work with AI

Redesign critical workflows

YOUR NEXT OPERATING MODEL STARTS WITH A QUESTION

Before building, make its decision rights visible.

Tell us which task the agent would take on, which systems it must consult and which error you cannot afford. That is enough to begin defining autonomy, controls and the right point for human review.