Strategy

Strategic roadmaps for turning AI and data into opportunity


CVM partners with executives to define smart, actionable strategies for AI, analytics, and data. We help organizations cut through hype, align around priorities, and build clear roadmaps that connect technical potential with business impact.

Why Strategy Matters


AI is reshaping how businesses operate, compete, and grow. But turning emerging technologies into real advantage requires more than experimentation — it demands strategy.

Without a clear roadmap, AI efforts often get stuck in pilot purgatory: fragmented, misaligned, and hard to scale. The cost isn’t just wasted investment — it’s missed opportunity in a rapidly evolving market.

CVM helps leaders move beyond hype to build practical, transformational strategies. We work with your team to identify where AI can drive step-change impact — and what it will take to get there.

A strong AI strategy helps you:

  • See the big picture – Understand how AI fits into your long-term goals and operations
  • Focus on what matters – Prioritize use cases that deliver business value, not just technical novelty
  • Prepare your org – Build the right capabilities, culture, and governance for responsible AI adoption
  • Stay ahead of the curve – Move early on emerging opportunities — and avoid being disrupted by them
  • Bridge vision and execution – Turn abstract potential into concrete initiatives, backed by a clear plan

Our Approach


We take a structured, collaborative approach to strategy — designed to uncover insights, align stakeholders, and produce a clear, practical roadmap for how your organization can use AI, analytics, and data to create value.

1. Discovery

Every strategy engagement begins with deep discovery. We interview stakeholders, review key documents, and survey internal perspectives to understand:

  • Your current data, analytics, and AI landscape
  • Past successes and persistent challenges
  • Opportunities already on your radar
  • Organizational goals, priorities, and tensions

This phase ensures we’re grounded in your reality — and sets the stage for productive collaboration.

2. (Optional) Rapid Demo

In some cases, we identify a high-potential idea during discovery that’s worth quickly prototyping. Using our Idea to Demo process, we build a simple but functional prototype in two weeks — something stakeholders can interact with, react to, and rally around.

This helps ground strategy discussions in what’s possible — not just theoretical.

3. Strategy Workshop

We bring stakeholders together for a focused, facilitated workshop. The format varies based on your needs, but the goals are consistent:

  • Share insights from the discovery phase
  • Build shared understanding across teams
  • Discuss opportunities and trade-offs openly
  • Align around priorities and success criteria

If a demo was created, we include it here to help spark discussion and validate ideas in context.

4. Strategy Development

We synthesize everything into a clear, actionable strategy document — not a slide deck to gather dust. It typically includes:

  • A concise assessment of your current state
  • A long-term vision and near-term focus areas
  • A 12–24 month roadmap with prioritized initiatives
  • Guidance on governance, resourcing, and tooling
  • Risks, dependencies, and suggested next steps

We iterate with your team to refine the plan and ensure it’s ready for execution — whether with us, with internal teams, or another partner.

What You Get


Every strategy engagement is tailored to your context — and we agree up front on what success looks like. Deliverables are clearly defined at the outset, so there are no surprises.

Typical outputs include:

  • An executive-ready strategy document outlining your AI, analytics, and data vision
  • A 12–24 month roadmap with prioritized initiatives, timelines, and budgets
  • Clear recommendations for governance, resourcing, and tooling
  • A concise assessment of current-state capabilities and gaps
  • Optional AI or analytics demo to validate a use case or spark stakeholder alignment
  • Supporting artifacts such as tech stack diagrams, maturity models, or initiative scorecards

We deliver everything in clear, concise language — ready to be shared with leadership, teams, or partners.

Why CVM


We’re not just advisors — we’re experienced operators who know how to turn strategy into execution. Our clients trust us to help them navigate the complexity of AI, analytics, and data — and to do it with clarity, speed, and integrity.

  • We bridge business and technical strategy – Our team combines backgrounds in data science, product, engineering, and consulting. We help you connect the big picture to the details that matter.
  • We focus on alignment, not just analysis – A good strategy isn't just smart — it's shared. We design our process to build consensus and get teams moving in the same direction.
  • We’re independent and tool-agnostic – We're not here to sell you software. Our only goal is to help you make the smartest choices for your business and context.
  • We deliver fast, without cutting corners – Strategy work with CVM is structured, time-boxed, and focused. We help you get to clarity quickly — and avoid endless cycles of planning.
  • We’ve done this before — across sectors – Since 2017, we’ve helped organizations in finance, government, tech, and more shape data and AI strategies that drive results.

Whether you’re starting from a blank slate or rethinking an existing plan, CVM brings the insight, structure, and experience to help you get it right.

Ready to shape your strategy?


Every successful AI or analytics initiative starts with a clear strategy. Whether you're just beginning or ready to take the next step, we’re happy to explore how CVM can help. Reach out using the form below.

Our work

Case

Facilitating an AI & Analytics Ideation Workshop for Destination BC

CVM helped Destination BC align stakeholders and prioritize AI and analytics opportunities through a structured, collaborative Ideation Workshop. Learn more


Case

Driving Verizon’s Data-Driven Marketing Strategy

CVM helped Verizon define and execute a data-driven marketing strategy, enabling more personalized campaigns, better measurement, and a scalable foundation for future AI-driven initiatives. Learn more


Case

Leading Toyota Canada's Data-Driven Marketing Transformation

CVM helped Toyota Canada shift from intuition-driven marketing to a data-first strategy, enabling greater personalization, measurement, and campaign optimization. Learn more


Case

Building a Hotel Data & Analytics Strategy for a Canadian Real Estate and Hospitality Firm

CVM's team helped a Canadian real estate and hospitality firm build and implement a comprehensive data and analytics strategy, including AI-driven forecasting and dynamic pricing optimization. Learn more