Building your AI Roadmap & Strategy

AI North Star & Value Roadmap

Most AI initiatives stall between pilot and scale. The AI North Star & Value Roadmap gives CxOs a clear AI roadmap, prioritized use cases, and an operating model built for execution.

Ready to build your AI roadmap?
Two mountaineers walk toward a bright star on a snowy ridge at night. Header for the AI North Star & Value Roadmap landingpage.

The AI roadmap that turns strategy into measurable business impact

Most organizations are already busy with AI. Pilots are running, steering committees have been formed, and few executives would argue with its importance. The harder question is which initiatives actually matter, and whether the organization is set up to deliver them. That answer tends to get deferred.

That gap between activity and impact is expensive. It’s also where most AI initiatives quietly lose momentum.

The AI North Star & Value Roadmap is valantic’s AI strategy project for CxOs and AI leadership teams across industries. We work with you to establish a common baseline, define where AI should take your business, identify the initiatives worth pursuing, and put the operating structures in place to make execution possible.

Where most AI journeys stall

The same four patterns come up in almost every organization we work with. A credible AI roadmap has to address all of them:

Weak AI foundation

Organizations launch pilots without ever agreeing on what good looks like, or what the current state actually is. Data sits in silos. Leadership teams operate from different assumptions.

This usually shows up when a team tries to build personalization or demand forecasting: the data exists across three systems, none of which talk to each other, and nobody owns the reconciliation problem.

Inability to scale AI solutions

Pilots succeed and then stall. A predictive maintenance model works on one production line but never makes it to the next plant, because there is no standard approach, no shared tooling, and nobody with a mandate to scale it.

The result is a portfolio of isolated experiments, each requiring separate support, none of which adds up to a capability.

Unclear AI operating model

Responsibility for AI is often undefined. Nobody owns the model after it’s built. Business and data teams run on different timelines.

This often surfaces at governance: an initiative makes it through development but stalls because nobody sorted out how regulatory and compliance requirements fit into the process. The technology was ready. The organization wasn’t.

Lack of measured AI impact

Most leadership teams cannot say, with any confidence, what AI has actually returned. That makes it hard to prioritize what’s worth pursuing, and harder to defend continued investment when the board asks.

How we help: three modules, one AI journey

The project runs across three modules. Each one produces specific deliverables on its own. Together, they take you from baseline to an organization that can actually execute on AI.

01 · Foundation Assessment

We establish a shared, honest picture of your AI readiness: strengths, gaps, risks, and where the real value potential sits.

02 · AI Vision & Roadmap

We turn ambition into a plan: your AI North Star, a prioritized set of use cases, and a phased roadmap with a clear ROI framework.

03 · Target Operating Model & Governance

We design the roles, collaboration structures, and governance mechanisms that let AI move from roadmap to running capability.

Foundation Assessment

We assess four areas, calibrated to your industry:

  • Strategy and ambition: how clearly is AI embedded in your corporate strategy and value creation thesis?
  • Data and technology: are your data assets, platforms, and architecture ready to support AI at scale?
  • Organization and skills: which AI capabilities exist today, and where are the critical gaps in roles and expertise?
  • Governance and risk: how mature are your frameworks for responsible AI, regulatory compliance, and risk management?

In the process, we surface the blockers that most commonly derail AI initiatives before they reach production:

  • Data quality and accessibility: fragmented or inconsistent data that makes building reliable AI difficult
  • Missing or fragmented tooling: no shared infrastructure to build and scale AI across the organization
  • Skill gaps in data science, MLOps, and AI product management, as well as domain expertise on the business side
  • Governance blind spots, particularly around security, privacy, and regulatory compliance

What comes out is a starting point your leadership team can agree on, and a clear list of what needs to change before anything else.

Colleagues discussing a roadmap sketched on a glass wall

AI Vision & Roadmap

We turn your ambition into a plan your organization can act on:

  • Your AI North Star: a clear definition of where AI creates real value for your business, specific enough to guide decisions and stable enough to last
  • Use case prioritization across three criteria: business impact (revenue, cost, risk, time-to-market), feasibility (data availability, technical complexity, regulatory constraints), and strategic fit (differentiation potential, alignment with corporate direction)
  • A phased roadmap built around three horizons:

Quick wins

Initiatives that can show measurable results within months, building credibility and momentum before the bigger bets pay off.

Scale bets

Use cases that become reusable platforms or shared capabilities, such as a central recommendation engine or a standardized predictive maintenance framework.

Foundational investments

Data, platform, and capability-building work that won’t show up in next quarter’s results but is necessary for everything else to hold.

The result is a roadmap with enough detail to make investment decisions real, and to hold people accountable for delivering on them.

Target Operating Model & Governance

Strategy without structure doesn’t execute. Most AI initiatives leave a set of organizational questions unanswered, and those gaps are exactly where momentum dies. We work through them directly:

  • Who owns AI products and use cases? How do central data and AI teams, IT, and business units actually collaborate? Who is responsible for model performance, monitoring, and updates after go-live?
  • How do cross-functional squads work in practice, bringing together domain experts, data scientists, engineers, and compliance? How are use cases selected, funded, and handed over to operations?
  • What are the decision rights, accountability structures, and risk controls that allow AI to scale without losing oversight?

The goal is an organization that can run what the roadmap requires, not just one that has agreed to try.

Hand marking tasks with a highlighter on a project planning board

What you take away

Five concrete results your leadership team walks away with:

  1. 1

    A shared AI baseline

    An honest, leadership-aligned view of AI maturity, risks, and value potential across business, data, technology, and governance.

  2. 2

    A defined AI North Star

    A specific, business-anchored AI vision that gives every future investment a single point of reference.

  3. 3

    A prioritized use case portfolio

    A shortlist of high-impact AI initiatives with validated value potential, ranked by impact, feasibility, and strategic fit.

  4. 4

    An actionable AI roadmap

    A phased plan with milestones, resource requirements, and business outcomes at every stage. Not a slide deck: an actual plan.

  5. 5

    A target AI operating model

    The roles, governance structures, and accountability frameworks your organization needs to scale AI safely and without losing momentum.

Proven in practice

Together with the client, an industrial sensor manufacturer, we defined its AI North Star and identified hero use cases across the entire company, unlocking a value potential equivalent to 13% of its total revenue.

Creation of a shared vision, strategy and roadmap to unlock DATEV's internal IT's AI potential.

Together with a leading transport and logistics group, we have been unlocking AI potential since 2019 through an organization-wide, impact-oriented project, identifying more than 200 use cases and bringing over 20 of them into productive operation.

See all valantic case studies for more examples across industries.

First step: the AI North Star Kickstarter

The AI North Star Kickstarter is the right starting point. Two days, one board-ready read-out, and a clear picture of what your AI journey should look like.

Strategic context & AI baseline

A structured assessment of existing AI initiatives, organizational readiness, and your strategic starting point.

AI ambition & North Star workshop

A facilitated leadership session to align on priorities, define AI ambition, and co-create a clear AI North Star, including target state, value focus areas, and guiding principles.

North Star strategy read-out

A clear articulation of the AI North Star, its strategic implications, and a set of recommended next steps you can act on immediately.

Format: 2-day workshop + preparation & strategy report

Investment: EUR 15,000

Start your AI journey with valantic

Further AI insights

valantic Digital Excellence Outlook 2026: AI at Scale

Study

Digital Excellence Outlook 2026 - AI at Scale

The new study "Digital Excellence Outlook 2026: AI at Scale" shows how companies can strategically anchor AI and use it sustainably.

Learn more Learn more
Whitepaper: AI Governance

Download

Managing AI: How to build up a futureproof AI governance

AI governance is key to creating a strong foundation for future competitiveness, enabling responsible adoption and scalable innovation. This whitepaper presents a practical, future-proof approach to integrating AI governance into existing processes, roles and tools, following valantic's principle of "no new governance".

Download Managing AI: How to build up a futureproof AI governance
Mockup valantic SAP Study 2026: Architecture. Data. Artificial Intelligence.

Study

SAP AI: From pilot project to strategic value creation

The valantic SAP Study 2026 makes it clear that AI in the SAP environment is not an end in itself.

Learn more Learn more
A customer service agent wearing a headset and sitting in front of a computer monitor uses AI in customer service to process a request.

Blog · May 19, 2026

Why so many AI pilots in Customer Service fail – and how to make them work

For many companies, customer service is an obvious starting point for experimenting with AI. The demo is convincing. Expectations are high. Nevertheless, only a few pilot applications make it into regular productive operation. Three typical patterns and concrete approaches to how AI works in service "

Learn more Why so many AI pilots in Customer Service fail – and how to make them work
Inside the Heavy Industry Factory Female Industrial Engineer Works on Personal Computer She Designs 3D Engine Model, Her Male Colleague Talks with Her and Uses Tablet Computer with SAP Service and Asset Manager

Blog · June 25, 2026

AI Potential in Manufacturing: Which Use Cases are already live – and what pays off?

In the manufacturing industry, AI is already one of the most important technologies. Yet there is a significant gap between ambition and productive use with measurable results. Where will AI be worthwhile in the manufacturing industry in 2026, and which use cases are already making its potential tangible today?

Learn more AI Potential in Manufacturing: Which Use Cases are already live – and what pays off?
mockup-data-value-office

Download

White Paper: Data Value Office

Our whitepaper describes how a Data Value Office transforms companies into data- and AI-driven organizations through effective data management. Download now!

Download White Paper: Data Value Office

Ready to build your AI roadmap?

Plenty of organizations have AI pilots. Fewer have a direction. The AI North Star & Value Roadmap is for leadership teams that want to close that gap, with a plan that holds up under scrutiny, not just one that looks good in a presentation.

Saeid Vanaki

Principal

valantic

LinkedIn

Rasmus Korsager Ørtoft

Senior Partner, Advisory and Solutions

VENZO – a valantic company

LinkedIn