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Strategic Data and AI Workshop: build a clear roadmap that delivers results

In one focused workshop we bring operations, finance, IT, and management together. Align goals, define KPI ownership, and prioritize 3 data and AI use cases. Leave with a realistic roadmap.

See what you get
Stakeholder alignment Use case shortlist Clear plan

Start small, prove value, then scale across plants and teams.

How the workshop works
From goals to a practical roadmap
AI ready

Business goals and pain points

Align what success means and where impact is needed.

Current data landscape and systems

Map sources, constraints, and what is realistic to start with.

Prioritized data and AI use cases

Leave with 3 priority use cases and a one page roadmap.

Aligned strategic goals.
One page roadmap.

Trusted by leading food manufacturers

Luiten Food
Jan Zandbergen Group
Vion Food Group
Plukon Food Group
Meyer Quick Service Logistics
Mola Bakery
GoodLife Foods
Clean Solutions Group
Luiten Food
Jan Zandbergen Group
Vion Food Group
Plukon Food Group
Meyer Quick Service Logistics
Mola Bakery
GoodLife Foods
Clean Solutions Group

Many data and AI plans never move beyond slides and ideas

Unclear starting point

No shared overview of goals, data, and constraints across teams.

Too many ideas

Many use cases on paper, no clear selection or order of execution.

Slow progress

Projects stall in alignment meetings and long slide decks.

Workshop outcome

A workshop that turns ideas into a concrete Data and AI roadmap

The Strategic Data and AI Workshop structures the conversation with the right people around your real processes, data, and constraints. You leave with a shortlist of use cases and a roadmap that everyone recognizes. This data strategy workshop supports use case prioritization based on impact, effort, and data readiness.

Shared view of goals and main pain points across departments
Prioritized list of realistic use cases for Titan and Ask Titan
Practical roadmap for the first 3 years, including a PoC option
See how it works

Deliverable

Roadmap one pager

After 1 session

Use case shortlist

3 priority use cases

Selected based on impact, effort, and data readiness.

Time horizon

3 year roadmap

Clear sequence, owners, and next steps.

Execution option

PoC starting point

If you are ready, we propose a safe first pilot.

Example structure. Exact content depends on your plants, systems, and goals.

1 session

To align key stakeholders

10+

Use cases discussed

3

Use cases selected

From vague ambition to a focused, agreed roadmap

This workshop is designed to replace endless alignment meetings with one structured, outcome driven session.

Before the workshop

  • Many separate ideas for data and AI, no clear shortlist
  • Limited overview of data sources and quality
  • Different expectations between business and IT
  • No shared picture of what to do in the next months

After the workshop

  • One shortlist of realistic, high impact use cases
  • Clear overview of critical data and systems
  • Shared expectations on scope, effort, and timeline
  • A practical roadmap for the first 3 years
Or start with a PoC
How it works

One session from goals to roadmap

In a single workshop we move from goals to concrete use cases and a roadmap. We use examples from your plants and your data so the output is practical from day one.

1. Preparation

Short intake to understand your plants, systems, and main questions before the session.

2. Workshop

Two to three hours with key roles to map goals, pain points, data, and use cases.

3. Roadmap

We translate the outcome into a simple roadmap and one pager you can share internally.

What the workshop covers

The workshop turns scattered ideas and data into a structured overview. These are the core elements we map together with your team.

Business goals

Strategic goals and plant level objectives for data and AI.

Key processes

Production, supply chain, quality, and commercial flows that matter most.

Data landscape

ERP, factory, planning, and other data sources available today.

Use case ideas

Potential use cases for Titan and Ask Titan across teams.

Impact and effort

Simple scoring of value, complexity, and data readiness.

Roadmap steps

Concrete steps for the next months, including PoC options.

Example roadmap

A 3 year data and AI roadmap at a glance

Click an activity to see what it means. This is an example structure to guide teams toward a clear North Star.

People Process Data Technology

Interactive visual

People, Process, Data, Technology across 3 years

Click an activity
North Star
Trusted data, repeatable delivery, and AI that improves decisions in daily operations.

Year 1

Foundation

Year 2

Scale

Year 3

Optimize

People

Ownership and skills

Process

Execution and routines

Data

Trust and meaning

Technology

Platform and control

Selected activity

Use case intake

Process

Why it matters

Create a simple pipeline from idea to delivery.

Output

Less chaos, better focus.

The workshop delivers a one page roadmap summary plus a prioritized shortlist of use cases.

Designed to bring all roles around one table

The workshop is built to align daily operations reality with IT feasibility and management priorities.

Operations and plant leads

Connect shop floor challenges to realistic data and AI opportunities.

Supply chain and planning

Put service, inventory, and planning issues clearly on the roadmap.

Finance and commercial

Link initiatives directly to margin, cost, and customer value.

Management and C level

Get a realistic view of what is possible and what to do first.

IT and data teams

We clarify which data, integrations, and platform steps are needed. The outcome is ready to feed into Titan as your data and AI foundation.

Results

Customer results

Food manufacturers use the Strategic Data and AI Workshop to move from talking about data and AI to concrete projects that deliver value.

Clear prioritization of data and AI initiatives
Better alignment between operations, finance, and IT
Faster move towards a first PoC or pilot on Titan

Frequently asked questions

Clear answers about the workshop format, outputs and what you need to prepare.

What is the goal of the Strategic Workshop?

To align business and IT on one concrete decision flow, KPI definitions and ownership, plus the minimum data needed. Think of it as an AI roadmap workshop with clear KPI ownership and a next sprint plan.

Who should attend from our side?

Typically one business owner of the decision, an IT or data owner, and one or two key users. If needed, finance or quality joins for KPI ownership and validation.

What are the deliverables?

A prioritized shortlist of use cases (typically 3), KPI definitions and owners, an initial data access and readiness overview, and a practical 3 year roadmap. We also define success criteria for the first live output.

How long does it take?

Typically one session of 2 to 3 hours. For multi-plant or complex setups, we can split it into two shorter sessions.

What do we need to prepare?

A short overview of your systems (ERP, WMS, MES, planning), who owns KPI definitions today, and one or two examples of current reports or spreadsheets that drive decisions.

What happens after the workshop?

We propose a first sprint with a tight scope. If you want, we start with a PoC or an Instant Insights delivery to validate value quickly.

Start your data and AI journey with a clear plan

In one workshop you align your teams, select realistic use cases, and define a roadmap that fits your plants. A practical start for data and AI with Titan.

Start a PoC

Typical output

  1. 1 One shared view of goals, pain points, and constraints.
  2. 2 A prioritized shortlist of use cases with clear scope.
  3. 3 A practical 3 year roadmap ready to execute.