Agentic
Operating
Redesign.
We redesign how your organisation operates with AI. Not theoretically, but structurally. Ownership, measurement, governance, and the first agentic workflows in production. Delivered and handed over.
An AI strategy tells you where to go. An operating model gets you there.
Most organisations that are failing with AI have a strategy. They have a roadmap, a set of use cases, and a technology shortlist. What they do not have is the operating model to carry any of it into production.
An operating model defines who owns what, how decisions are made, how performance is measured, and how the organisation changes as AI capability matures. Without it, strategy is aspiration. With it, AI becomes an operational competency.
You stop buying AI capability. You start operating it.
Organisations that operate AI well share three characteristics: someone senior owns the portfolio and is accountable for its results; every deployed workflow has a named owner and a production metric; and the internal team can extend the system without external support.
That is the end state we design toward. Not the tools. The operating model.
Six components. One operating model.
AI ownership structure
A clear model for who owns AI strategy, who owns AI operations, and who owns each individual workflow. At every level from board to frontline.
Agentic workflow design
Precise design of which processes are ready for agent automation, in what sequence, and with what human oversight built in.
Measurement framework
Operational metrics that tell you whether each workflow is performing. Not model accuracy, but actual throughput, exception rates, and downstream impact.
Governance model
Decision rights, escalation paths, and review cadences that keep AI investment accountable without creating new bureaucracy.
Technology alignment
Assessment of which platforms, vendors, and tools to retain, replace, or consolidate. Against the operating model, not against vendor marketing.
Transition roadmap
A phased plan for moving from current state to target operating model without disrupting live operations. Sequenced. De-risked. Owned.
Four phases. Ten to eighteen weeks.
Current state mapping
We map your existing operations, AI initiatives, data flows, and decision rights. We identify where AI is creating friction rather than removing it, and where the operating model is the constraint.
Target operating model design
We design the target operating model: ownership structure, workflow priorities, governance design, and technology stack. The design is specific. Not a framework, but a model for your organisation.
Workflow build and validation
We build the first one or two agentic workflows inside your existing stack. We measure from day one. We validate in production, not in sandbox.
Handover and capability transfer
We train your team to operate the model independently. We establish review rhythms. We exit cleanly. With the operating model running inside your organisation, not dependent on ours.
"The model runs inside our operations team now. GBW built it, handed it over, and left. That is exactly what we needed."
The Agentic Operating Redesign typically follows a Strategic Truth Audit. The audit tells you what is worth building. The redesign builds the operating model to carry it.
Throughput moves when the operating model does.
Workflow throughput across a redesign engagement
Scope the redesign.
Ten to eighteen weeks. An operating model your team owns at handover.
Ready to build the operating model?
We design it, build the first workflows, and hand it over. You own it from there.