The Craft of AI Product Building #3: AI Product Roadmapping Maria Santos stared at the conference room whiteboard, covered in sticky notes, timeline arrows, and more question marks than she'd ever seen in a strategic planning session. As VP of Product Strategy at TransGlobal Logistics, a $2.3 billion supply chain management company, she faced a challenge that traditional planning frameworks couldn't address: developing a three-year AI roadmap that could transform their business while navigating unprecedented uncertainty. The executive directives was both inspiring and daunting: leverage AI to automate 60% of route optimization decisions, predict supply chain disruptions with 85% accuracy, and reduce operational costs by $50 million annually. The timeline was aggressive—full deployment within 36 months to stay competitive with AI-powered logistics startups that were rapidly gaining market share. But Maria realized that conventional roadmapping approaches were fundamentally inadequate for AI initiatives. AI development introduced variables that defied precise scheduling: Would computer vision technology advance enough to reliably identify damaged packages in their warehouses? Could they acquire sufficient high-quality data to train predictive models for global supply chain disruptions? How would emerging regulations around algorithmic decision-making in logistics impact their deployment timeline? Maria Santos's challenge at TransGlobal Logistics captures a fundamental problem facing enterprise leaders today. Tasked with delivering a transformational AI roadmap - she faced a planning nightmare that traditional frameworks couldn't solve. Maria leveraged an AI Product Strategy Framework that leveraged planning for uncertainty as a strategic asset. This Framework addresses the core challenge of maintaining strategic coherence while accommodating AI development's inherent uncertainty. The Multi-Horizon Planning Structure recognizes that AI requires different planning approaches across time scales: detailed 6-month execution plans with validated technical approaches, tactical 6-18 month capability development with flexible implementation paths, and strategic 18+ month vision frameworks that preserve directional clarity while accommodating breakthroughs. The framework treats uncertainty as a strategic variable rather than a planning obstacle, building optionality through multiple pathways to value creation. Dynamic Influence Layers continuously shape strategy evolution through technology trend monitoring, competitive landscape assessment, regulatory environment tracking, and organizational capability development. This creates responsive planning systems that adapt to rapid AI advancement while maintaining stakeholder confidence and strategic accountability. Read more about Adaptive and Dynamic Roadmapping in Chapter 5 of my upcoming book - The Craft of AI Product Building.
Technology Roadmapping Services
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Summary
Technology roadmapping services help organizations plan and organize their technology initiatives to support long-term business goals. By mapping out when and how to adopt new tools, systems, and innovations, these services guide companies in making decisions that stay closely tied to business priorities and market changes.
- Align with strategy: Work closely with business leaders to ensure technology plans support the overall company vision and key objectives.
- Collaborate widely: Invite input from stakeholders across departments so the roadmap reflects real needs and unlocks value beyond just IT.
- Adapt to change: Build flexibility into your roadmap, letting you adjust plans as new technologies emerge or business requirements shift.
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🚨 𝐈𝐟 𝐲𝐨𝐮𝐫 𝐭𝐞𝐜𝐡 𝐫𝐨𝐚𝐝𝐦𝐚𝐩 𝐢𝐬𝐧’𝐭 𝐭𝐢𝐞𝐝 𝐭𝐨 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬, 𝐢𝐭’𝐬 𝐣𝐮𝐬𝐭 𝐚 𝐰𝐢𝐬𝐡𝐥𝐢𝐬𝐭. Everyone’s launching AI pilots, buying new tools, moving to cloud. But ask this first: 👉 𝑊ℎ𝑎𝑡 𝑐𝑎𝑝𝑎𝑏𝑖𝑙𝑖𝑡𝑦 𝑎𝑟𝑒 𝑤𝑒 𝑒𝑛𝑎𝑏𝑙𝑖𝑛𝑔? 👉 𝐼𝑠 𝑖𝑡 𝑐𝑜𝑟𝑒 𝑡𝑜 ℎ𝑜𝑤 𝑤𝑒 𝑐𝑜𝑚𝑝𝑒𝑡𝑒 — 𝑜𝑟 𝑗𝑢𝑠𝑡 𝑐𝑜𝑛𝑣𝑒𝑛𝑖𝑒𝑛𝑡? Too many roadmaps look impressive. But don’t move the business forward. Why? Because we’re prioritizing 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 without prioritizing 𝐯𝐚𝐥𝐮𝐞. 💡 The bridge between strategy and execution isn’t more tools. It’s 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞. Not as governance. But as 𝑐𝑙𝑎𝑟𝑖𝑡𝑦: ✅ Define which capabilities matter ✅ Align initiatives to those capabilities ✅ Build tech that actually delivers outcomes 🎯 𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐚𝐧 𝐞𝐟𝐟𝐞𝐜𝐭𝐢𝐯𝐞 𝐫𝐨𝐚𝐝𝐦𝐚𝐩 𝐭𝐨𝐝𝐚𝐲? ➡ Clear connection to business priorities ➡ Ruthless focus on core capabilities ➡ AI + automation that frees up resources — not adds noise 👑 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐥𝐞𝐬𝐬𝐨𝐧: Don’t measure how much you’re building. Measure whether you’re building what 𝑚𝑎𝑡𝑡𝑒𝑟𝑠. 💬 What’s one capability your roadmap has helped unlock — or one you wish had been prioritized earlier? 👇 Let’s share and learn — because real strategy lives in what we 𝑏𝑢𝑖𝑙𝑑 𝑛𝑒𝑥𝑡. #EnterpriseArchitecture #AI #TechStrategy #Leadership
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*** Who is responsible for creating the technology roadmap for a company!?! *** The key question here is whether only enterprise apps team should be solely responsible for developing a multiyear roadmap of technology initiatives—one that not only empowers business operations but also sets the organization up for long-term success. I often see senior leadership roles, even at the executive level, list the ability to create and execute a multiyear technology roadmap as a key requirement. However, I find this expectation somewhat puzzling because, as an enterprise application leader, collaboration and partnership with stakeholders are essential in shaping a roadmap that aligns technology initiatives with broader business objectives. With that in mind, I’m outlining the key prerequisites for developing an effective multiyear technology roadmap with the intent that this becomes educational and empowers fellow technology executives to have open dialogue with their business partners! ### Pre-rea for creating a multiyear technology roadmap ### 1. Business Strategy Alignment • A clear understanding of the company’s overall strategic objectives and long-term vision. • Defined business priorities and growth plans that technology must support. 2. Stakeholder Buy-in • Collaboration with executives, department heads, and key business units. • Agreement on enterprise appolications team role in enabling business success. 3. Current Technology Landscape Assessment • A thorough inventory of existing systems, infrastructure, and capabilities. • Identification of technical debt, redundancies, and gaps. 4. Financial Planning & Budgeting • A well-defined technology budget with projected costs for multi-year initiatives. • Understanding of funding sources and potential ROI for technology investments. 5. Risk & Compliance Considerations • Security, regulatory, and compliance requirements that must be addressed. • Risk assessments to identify potential obstacles. 6. Technology Trends & Innovation • Awareness of emerging technologies that could provide a competitive advantage. • Evaluation of industry trends and best practices. 7. Resource & Talent Strategy • Identification of required skill sets and workforce planning. • Consideration of hiring, training, and outsourcing needs. 8. Governance & Execution Framework • Defined processes for prioritization, approval, and monitoring of technology initiatives. • Clear accountability and KPIs to measure success. 9. Scalability & Flexibility • An adaptable roadmap that can adjust to market changes and new opportunities. • A phased implementation approach to balance quick wins with long-term #enterpriseapps #techroadmaps #biztechpartnership
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