From AI experiments to agentic decisions.
One day with your leadership team: where agentic workflows pay in your business, and where to start.
- One working day
- 8–16 senior leaders
- On-site, your HQ
- Your workflows
Not “what can AI do?” but what should AI own?
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Agents watch the workflow continuously: sell-out, spend, claims, execution, instead of waiting for the monthly review.
Agentic is not autonomy. Leadership sets the boundary. Decision stays human; learning feeds the next cycle.
You do not need another AI demo. You need five answers.
Most FMCG companies already have AI activity: copilots, committees, departmental pilots. The questions that decide whether any of it compounds are still open.
The Lab puts the people who own those answers in one room, for one day.
- Q01Where does AI create measurable business value?
- Q02Which workflows deserve attention first?
- Q03What should agents actually be allowed to do?
- Q04Where should humans remain accountable?
- Q05How do experiments become organizational capability?
Six stages. Most FMCG companies stall at three.
Copilots make individuals faster; they do not change how the company decides. Stages four and five do, and are crossed deliberately or not at all.
- 01AutomationRules execute tasks
- 02Generative AIModels create outputs
- 03CopilotsAI assists peopleStall here
- 04AgentsAI reasons and acts with toolsThe Lab
- 05Agentic workflowsAI participates across a processThe Lab
- 06Agentic organizationMachine agency becomes structuralDestination
Five operating domains. Hundreds of candidate workflows.
Select a domain to see where the executive conversation usually starts. Where your value concentrates is a Lab question.
- 01Salesforce prioritization
- 02Distribution
- 03Key accounts
- 04Outlet execution
The highest-frequency decisions in the business: coverage, calls, and execution, every day.
One day.
Five shifts.
Teaching is concise. Most of the day is your leadership team working on your workflows, with the people who own them.
Fewer lectures. More decisions.
Understand the agentic shift
Move past chatbots and copilots to what actually changes when software reasons, acts and learns inside a process.
Teaching
You leave the block withA shared vocabulary for the rest of the day
- 01Sponsor briefingGoals, participants, and where it hurts today.
- 02Participant contextSelected leaders share how the work actually runs.
- 03A session built for youExamples and exercises tuned to your operation.
- Executive summary of the day's findings
- Prioritized workflow shortlist, owned by name
- Readiness themes across data and governance
- A 90-day direction the team agreed on
8–16
Senior, cross-functional
Agentic transformation crosses functions by nature. The strongest sessions put business, technology and transformation leadership in one conversation.
Business
- CEO
- COO
- Commercial
- Supply chain
- Finance
Technology
- CIO
- CTO
- Data
- AI
Transformation
- Strategy
- Digital
- Transformation
- We have AI experiments. What comes next?
- Where should we invest first?
- What can realistically become agentic?
- How should humans and agents work together?
- How do we move from tools to operating-model change?
- Prompt engineering training
- A ChatGPT tutorial
- A generic AI keynote
- A software demo day
- A classroom-style awareness session
Not sure which side you are on? That is a twenty-minute conversation, not a form.
Book a free 20-minute callFMCG operators who build AI.
17
Markets led
10+
Years in data & AI
P&L
Group & BU level
Both sides of the table: how the technology works, and how an FMCG business actually runs. Our work sits on real operational workflows: evidence, decisions, approvals, execution, learning, and extends into governance and decision rights.
- Opportunity ScoutSelf-serve read
- Leadership LabYou are here
- Workflow AuditThe business case
- Deployment → EnterpriseProduction, then scale
Not ready for the Lab? A free opportunity report reads where value could sit first: ten questions, about ten minutes.
No. It is built for business leadership: value, decisions, accountability and execution, not model architecture or prompting technique.
No. Existing pilots give the day useful material, but the Lab works equally well as the first structured leadership conversation about agentic AI.
Yes. Examples, workflows and the opportunity landscape come from commercial, trade, demand and supply, finance and management processes in FMCG, CPG, retail and distribution.
Typically 8 to 16 senior leaders across business, technology and transformation: the people who own the workflows and the decisions about them.
No. Every Lab is prepared: a sponsor briefing and participant context shape the examples, exercises and priorities so the day reflects how your operation runs.
An executive summary of opportunities, priorities, readiness themes and a 90-day direction. Where a workflow warrants it, an Agentic Workflow Audit goes deeper.
The conversation your leadership team needs to have.
Twenty minutes is usually enough to know whether a Lab is the right next step for your organization.
For FMCG, CPG, retail and distribution leadership teams
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