AI Strategy & Leadership2026

AI Leadership Workshop for AGNA Group

Designed and facilitated an AI leadership workshop for 70 AGNA Group leaders, turning broad curiosity into owned use cases, agent skills, and a business-ready roadmap.

AI Leadership Workshop for AGNA Group

Role

Workshop Designer & Facilitator

Client

AGNA Group

Year

2026

01

The Challenge

AGNA Group had high executive curiosity about AI but no shared operating model for how it should apply inside the business. Most leaders had seen ChatGPT, yet there was no common language, no agreed picture of where AI could create value across brands and distribution, and no practical roadmap tied to AGNA's real operating context. The task was to move 70 senior leaders from surface awareness to genuine readiness in one day, using examples anchored in AGNA's supply chain, sales organisation, brand portfolio, outdoor advertising business, and Kosovo expansion.

02

The Approach

I designed and solo-facilitated a fully customised AI leadership workshop for AGNA Group in Tirana. The program combined executive framing, FMCG-specific market intelligence, AGNA-specific use cases, live agent demonstrations, and role-based exercises for sales and marketing leaders.

Rather than delivering a generic AI overview, the workshop was built around AGNA's actual business system:

PepsiCo bottling and distribution, including demand forecasting, route optimisation, and predictive maintenance scenarios.
Glina Water and the wider brand portfolio, with AI-led campaign, content, and pricing examples.
Albartex, AGNA's outdoor advertising business, framed as a future data-driven media platform.
Kosovo market operations, including localisation and cross-market execution scenarios.

The day closed with a shared prioritisation exercise so the room left with named use cases, named owners, and AGNA's first structured AI roadmap.

03

Key Outcomes

  • 01

    Leadership Readiness: Moved 70 senior leaders from loose AI awareness to a shared language, mental model, and action frame

  • 02

    AGNA-Specific Use Cases: Built and pressure-tested practical AI scenarios across supply chain, sales, marketing, finance, HR, and IT

  • 03

    Agent Skill Transfer: Demonstrated concrete sales and marketing agents that reduced hours of manual research, pipeline review, and briefing work

  • 04

    Roadmap Ownership: Ended the day with prioritised initiatives, named owners, and an initial AI roadmap aligned to business strategy

  • 05

    Culture Shift: Reframed AI from a novelty tool into a thinking partner and operating capability for senior decision-makers

04

Technical Details

1. Designing for AGNA's real operating context

This workshop was not built from a generic deck with the company logo added on top. Every major example, case, and exercise was written specifically for AGNA Group's structure and ambition.

That meant the program directly referenced:

PepsiCo bottling and distribution operations.
Glina Water as a consumer brand use-case anchor.
Albartex and its billboard footprint as an AI-enabled media business.
Multi-brand distribution across Diageo, Amstel, Nestle, and Fructal.
The Kosovo market as a real expansion and localisation context.

The goal was simple: make it impossible for the room to leave saying, "Interesting, but not relevant to us."

2. Turning awareness into readiness in a single day

The audience included sales leaders, sales directors, marketing directors, and executives with very different levels of AI fluency. Some had never used an AI tool seriously. Others were already experimenting with ChatGPT. The workshop needed to serve both groups without slowing either one down.

The curriculum moved through six connected parts:

A wake-up-call opening using FMCG case studies and future-headline exercises.
AI fundamentals built for both beginners and regular tool users.
An FMCG intelligence briefing covering real companies, use cases, failures, and adoption gaps.
An AGNA-specific use-case sprint across operations, commercial, and support functions.
A risk, ethics, and culture block built around AGNA-specific failure scenarios.
A closing commitment session focused on 30-day action, 90-day success criteria, and ownership.

This sequencing gave the room both conceptual grounding and a practical path to act.

3. Making the shift from chatbot to agent concrete

One of the key design choices was to make AI agents tangible for leaders who do not think in product or engineering language day to day. Instead of abstract theory, I demonstrated agents around tasks people in the room already own.

The live scenarios included:

A prospect research agent that researched companies, surfaced likely pain points, identified decision-makers, drafted first-touch emails, and queued follow-ups in under five minutes.
A pipeline review agent that scanned CRM activity, flagged stagnant deals, and produced a prioritised action list with suggested next steps.
A campaign briefing agent that turned target audience, message, seasonality, and channels into a same-day strategic brief with concepts and copy directions.
AI used as a thinking partner for pricing decisions, negotiation prep, distribution strategy, and competitor positioning.

This was the mental-model shift that mattered most: away from "AI writes text" and toward "AI helps leaders think, decide, and execute faster."

4. Use cases, risk framing, and strategic prioritisation

The workshop's middle section focused on AGNA-specific use cases across the business. These included demand forecasting for Pepsi and Glina Water, route optimisation for the delivery fleet, predictive maintenance on the bottling line, retail outlet churn prediction, Kosovo campaign localisation, AI-generated weekly management reporting, credit-risk scoring for channel partners, and recruitment screening for field sales roles.

Just as important, the room worked through four risk categories with scenarios grounded in AGNA's context:

Data risk when inconsistent CRM habits distort what the model learns.
Hallucination risk when client-facing campaign intelligence is wrong.
Dependency risk when a core optimisation workflow fails with no fallback.
People risk when long-tenure institutional knowledge lives only in heads, not systems.

The point was not to slow adoption. It was to make adoption responsible, durable, and leadership-owned from the start.

5. What the room left with

By the end of the day, AGNA did not just have enthusiasm. The group had produced working strategic outputs:

AGNA-specific AI use cases across departments.
Prioritised initiatives with named owners.
A first-pass AI roadmap aligned to the business strategy.
A shared language for discussing AI across commercial and executive teams.

Participants also left with practical operator skills:

Writing better prompts using role, context, task, and output format.
Researching prospects in minutes instead of nearly an hour.
Scoping an AI agent by goal, tools, review points, and success metrics.
Stress-testing any AI use case by asking what data it learns from and what pattern it acts on.
Naming the major AI risks before deployment rather than after failure.

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