Be among the 0.1% of FMCG leaders who master agentic AI in your organization.
A one-day executive workshop that helps your leadership team move beyond AI experimentation, identify where agentic workflows could create meaningful business value, and align around where to start.
One day · Leadership team · FMCG-specific · Practical outcomes
the organization, becoming agentic
agentic layerdecision stays human
learning feeds the next cycle
Stop collecting AI experiments.
Start deciding what AI should take over.
Your company probably does not need another AI demo.
Most FMCG companies already have AI activity: ChatGPT users, copilots, committees, departmental pilots, isolated automation projects. The harder questions remain unresolved.
Where does AI create measurable business value?
Which workflows deserve attention first?
What should agents actually be allowed to do?
Where should humans remain accountable?
How do isolated experiments become organizational capability?
The Leadership Lab brings the people who own those answers into the same room.
The question is no longer
“What can AI do?”
The question is
“What should AI own?”
And where should human judgment, approval, and accountability remain? Most AI workshops teach executives what AI can do. This one helps your leadership team decide what AI should do inside your company.
The shift is bigger than another generation of software.
Agentic AI changes the relationship between information, judgment, decisions, execution, and accountability. The Lab teaches this model in business terms, then applies it to your workflows.
- 1
Automation
Rules execute tasks
- 2
Generative AI
Models create outputs
- 3
Copilots
AI assists people
- 4
Agents
AI reasons and acts with tools
- 5
Agentic workflows
AI participates across a process
- 6
Agentic organization
Machine agency becomes structural
Five operating domains. Hundreds of candidate workflows.
Enough to start the executive conversation. The full landscape — and where your organization's value concentrates — is what the Lab works through.
Commercial & Route-to-Market
- Salesforce prioritization
- Distribution
- Key accounts
- Outlet execution
Revenue Growth & Trade
- Promotions
- Trade spend
- Pricing
- Category & assortment
Demand & Supply
- Forecasting
- S&OP
- Inventory
- Replenishment
Finance & Controls
- Claims
- Reconciliation
- Receivables
- Margin leakage
Management Intelligence
- Reporting
- Performance diagnosis
- Scenario analysis
- Executive decisions
One day. Five shifts.
One intensive working day that takes your leadership team from understanding the agentic shift to an aligned, prioritized direction — on your workflows, not generic case studies.
The format
- DurationOne full working day
- WhereOn-site with your leadership team
- Who8–16 senior, cross-functional leaders
- HowTeaching, discussion, and working sessions on your workflows
High-level by design: the frameworks and working materials are part of the session, not the landing page.
- 01
Understand
Understand the agentic shift
Move beyond chatbots and copilots and understand what agentic systems change about how work gets done.
- 02
Explore
Explore the FMCG opportunity
Examine where agentic workflows could influence revenue, margin, working capital, execution, and management capacity.
- 03
Identify
Find the workflows that matter
Surface the processes and decisions where machine agency may create meaningful value in your organization.
- 04
Design
Explore human + agent ways of working
Begin defining how agents, people, systems, and decision rights could work together.
- 05
Align
Leave with a direction
Align the leadership team around priority opportunities, readiness gaps, and the practical next step.
You will work on your business, not listen to ours.
Concise executive teaching, FMCG examples, structured leadership discussion, workflow exploration, prioritization, and collaborative working sessions — on your workflows, with the people who own them.
Expect fewer lectures, more decisions.
After the session, TiMiNa consolidates the day's findings into an executive summary capturing the major opportunities, priorities, readiness themes, and recommended next steps.
What you leave with
- 01
Shared agentic language
Leadership understands what agentic AI means beyond the hype, in the same terms.
- 02
Opportunity landscape
A structured view of where agentic workflows may create value across the organization.
- 03
Priority workflow candidates
A shortlist of areas worth deeper investigation, chosen by the people who own them.
- 04
Readiness perspective
Clarity around the data, systems, governance, and organizational conditions required.
- 05
90-day direction
A practical view of what the organization should investigate or do next.
Agentic does not mean uncontrolled autonomy.
One of the Lab's central models: defined authority, approvals, escalation, accountability, and observability. Machine agency operates inside boundaries your leadership sets.
The working question for every workflow: what does AI observe, investigate, and recommend — and where exactly does the human boundary sit?
- AgentObserveAI
- AgentInvestigateAI
- AgentRecommendAI
- Human approvalDecideThe human / AI boundary
- AgentActAgent, within defined authority
- HumanEscalateHuman
- AgentLearnSystem
Agentic transformation is cross-functional by nature.
Designed for leadership teams, not AI spectators. The strongest sessions bring business, technology, and transformation leadership into the same conversation — typically 8 to 16 senior participants.
Business
- CEO
- COO
- Commercial
- Supply chain
- Finance
Technology
- CIO
- CTO
- Data
- AI
Transformation
- Strategy
- Digital
- Transformation
For teams with questions, not spectators.
Particularly valuable if you are asking
- We have AI experiments. What comes next?
- Where should we invest first?
- What can realistically become agentic?
- How do we prioritize use cases?
- How should humans and agents work together?
- What capabilities do we need before scaling?
- How do we move from tools to operating-model change?
Probably not the right session for
- Prompt engineering training
- A ChatGPT tutorial
- A generic AI keynote
- A software demo day
- A large classroom-style awareness session
Not sure which side you are on? That is a twenty-minute conversation, not a form.
FMCG operators who build AI.
We approach AI from both sides of the table: how the technology works, and how FMCG businesses actually operate. Decades of FMCG leadership, more than a decade in technology and AI.
FMCG
TiMiNa's team has held leadership responsibility inside FMCG businesses: commercial, P&L, group and business-unit level, across 17 markets.
Technology + AI
More than a decade across technology, analytics, data, and AI, applied to operational problems rather than demos.
Agentic workflows
TiMiNa designs systems around real operational workflows: evidence, decisions, approvals, execution, learning.
Operating model
Our thinking extends beyond individual agents into governance, decision rights, and organizational architecture.
The destination is bigger than AI adoption.
As agents become capable of participating in workflows, companies have to reconsider workflows, decision rights, institutional knowledge, governance, and organizational architecture. That thinking lives in our essay series.
Sometimes the next step is simply clarity.
When a high-potential workflow emerges, TiMiNa can go deeper through an Agentic Workflow Audit: economics, feasibility, data requirements, architecture, and deployment path.
- Leadership LabAlignment and direction
- Workflow AuditThe business case
- Workflow DeploymentProduction workflow
- Agentic EnterpriseOrganizational capability
Grounded in your organization, not a generic curriculum.
Every Leadership Lab is prepared. Before the day, TiMiNa gathers context so the session reflects your business, your systems, and your workflows — on-site at your headquarters or a suitable executive venue.
How a Lab is prepared
- HumanSponsor briefingGoals, participants, and where it hurts today
- HumanParticipant contextSelected leaders share how the work actually runs
- Human approvalA session built for youExamples, exercises, and priorities tuned to your operation
The questions executives ask first.
This is the conversation your leadership team needs to have.
Tell us who you are and where your organization stands. We will come back within one business day to discuss scope, participants, and dates.
Designed for FMCG, CPG, retail and distribution leadership teams.
Not ready for the Lab? Start by seeing where value sits.
The Agentic Opportunity Assessment gives you a structured, self-serve read on where agentic AI could create value in your organization — a useful precursor to the Leadership Lab conversation.