AI OPERATING MODEL
AI agents are a new workforce. Is your organization ready to run it?
Whether your agents are live or still being built, the Agent-Ready Operating Model gives them what any workforce needs: clear accountability, rules for how they work with each other and with your people, and a named owner for every agent and every change made to it.
Agents are moving faster than the organizations running them.
Organizations are putting AI agents to work across the business: answering customers, approving transactions, screening candidates, running operations. The agents are built with care. The organization around them usually isn't redesigned at all.
Who owns the agent when it gets something wrong? Who updates it when your policies change? Who picks up when it escalates? Who can switch it off?
In most organizations, the honest answer is "it depends". And as agents start handing work to each other, a single mistake travels: by the time it surfaces, no one can say where it started or who owned it.
Only 5% of organizations say coordination and accountability are clear across the AI lifecycle.
We design the operating model for your AI workforce.
Accountability
Every agent and every process has a named owner, with clear authority to act.
Your technology partners build the agents. We redesign the organization so it can run them, before launch or after.
Governance between people and agents
Who decides, who overrides, who reviews agent output, and who picks up what agents escalate.
Governance between agents
Clear rules for how agents hand work to each other, and who resolves it when their goals conflict.
Human judgment where it matters
Which decisions stay with people, how exceptions are handled, and how teams keep the flexibility that rules alone can't provide.
Accountability records
A clear record of who owns each agent, what it is allowed to do, and who approved each change to it.
Contained risk
Mistakes are caught early, owned, and stopped before they travel.
WAYS TO ENGAGE
01
Agent Readiness Assessment (COMPLIMENTARY)
2 minutes, 21 questions. Get an instant readiness score across nine areas, plus a gap report you can download and share with your team.
02
Agent Accountability Diagnostic
Most leadership teams have never seen their AI agents as part of the organization. The Diagnostic changes that. You'll know where an agent's mistake would go unowned, where handoffs break down, and where your exposure is highest, before it turns into an incident.
Planning your first agents? It assesses your readiness before go-live.
What it typically includes:
A clear picture of every agent we identify, live and planned, and who is truly accountable for each
A map of where work passes between agents and people, and where no one owns the handoff
The risks that matter most, rated and ready for your board
A prioritized roadmap, so you know what to fix first and what can wait
Every Diagnostic is tailored to your organization, so the final scope is agreed with you before we start.
03
Operating Model Design
We build the operating model your AI workforce needs, then hand it to your team with named owners, routines, and a review cycle built in.
Building agents now? We design it alongside your technology partner, so agents launch with owners and rules already in place.
Built for leaders who carry the risk.
COOs and operations leaders
With agents live or planned in any part of the business.
Transformation and digital leaders
Scaling AI from pilots to production.
Boards and audit committees
Asked to oversee AI they can't see.
Agent-building firms
Whose clients ask governance questions they can't answer.
FROM THE FOUNDER
A question of coexistence.
Organizations are introducing a new type of workforce into environments that already struggle with siloed decisions, competing priorities, and diffused accountability. And when one agent's output becomes another agent's input, a single flawed assumption can travel through an entire chain of decisions while every step still looks correct.
"The risk may not simply be over-automation. It may also be the over-standardization of decision-making in systems that still require human discretion, strategic interpretation, and contextual nuance."
Layan Quba, Founder at Vantage
FAQ
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An AI system that takes actions or makes decisions inside a business process, such as answering customers, approving, routing, or updating records, with limited human input. Agents are what we design around. AI features built into everyday software, like email drafting, are noted during the Diagnostic but aren't the focus of our work.
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They define what the agent can do. We define what your organization does around it: who owns it, who handles its escalations, who keeps it current, and who decides when something goes wrong.
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It's the best time. Designing accountability before go-live costs far less than fixing it after an incident.
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Yes. Accountability gaps start with the first agent, and they multiply as agents begin working with each other.
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No. We work alongside your IT team or technology partner and stay on the organizational side.
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Reconstructing what an agent did technically depends on logs held by your IT team or vendor. We design the accountability side: who owns each agent, what it is allowed to do, and a record of every approved change. We also specify what your IT team should log, so that when something goes wrong, both the technical and the human trail exist.
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We hand the model over to your team, with named owners, routines, and a review cycle built in. Your organization runs it from there.
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Take the free assessment, or schedule a conversation. Every engagement begins with the Diagnostic.
FIND OUT WHERE YOU STAND IN 2 MINUTES