A successful development journey begins with a clear understanding of what the organisation aims to achieve and whether those objectives are realistic. Requirements and feasibility build on business design by translating business needs into structured and validated inputs for development.
By validating requirements early, organisations keep development aligned with business priorities and reduce the risk of costly rework later. This creates a consistent foundation for both gate-based and sprint-based development while maintaining focus on measurable business outcomes.
Requirements connect demand with development. Demand planning and business design refine business needs, and development turns them into structured inputs that guide design and implementation.
Requirements are not only technical specifications. They define the expected business outcome, operational impact, constraints, dependencies, adoption expectations, and the direction of the planned solution. The objective is not to create perfect requirements upfront, but to establish sufficient clarity, ownership, and feasibility before significant development resources are committed.
Requirements typically mature progressively throughout planning and development. Early requirements are often business-oriented and directional, while later stages introduce more detailed functional, operational, data, security, and integration requirements. The Business Capability Owner is accountable for ensuring that the development remains aligned with business objectives, while the Business Analyst helps refine and structure requirements into development-ready content.
The roadmap represents planned business capability development and prioritised business intent. It is not yet a commitment to implementation. Larger development needs usually begin with a development initiative, which authorises further planning, business design, and feasibility assessment before implementation approval is requested through a development request.
This distinction is important because organisations should not commit major development capacity before there is sufficient understanding of:
Different demand types require different levels of planning and governance. Larger transformations often require broader business design, feasibility assessment, and portfolio steering, while smaller improvements and service changes can move more directly into backlog refinement and implementation planning.
Regardless of the development method, the objective remains the same: preserving business intent throughout the development flow.
Feasibility ensures that development effort is directed towards initiatives that are valuable, realistic, and sustainable.
Feasibility is not a one-time approval activity or a technical checklist. It is a continuous assessment of whether the expected business value still justifies the investment and whether the organisation remains capable of delivering, adopting, operating, and improving the solution successfully.
A feasibility assessment should confirm that:
A technically successful implementation does not create business value if the organisation is not ready to adopt, operate, and evolve the solution.
Feasibility evolves throughout planning and development as assumptions are validated and understanding improves. Initiatives may therefore be redirected, delayed, re-scoped, or stopped if expected value no longer justifies the investment.
Artificial intelligence is increasingly changing both the nature of demand planning and the way development needs are defined.
AI-enabled automation, intelligent services, and data-driven operating models create new development needs across business processes, services, customer interaction, and operational decision-making. Development increasingly combines technology implementation with process redesign, operational change, data capabilities, and AI-enabled automation.
At the same time, AI significantly improves business design and development planning. AI can support rapid prototyping, simulations, process analysis, scenario modelling, requirement refinement, and concept validation. This allows organisations to evaluate development alternatives faster and with greater depth before implementation decisions are made.
AI also improves collaboration between business and technology stakeholders by making solution concepts easier to visualise, refine, and validate early in the planning process.
The role of AI is not to replace business ownership or governance, but to strengthen the quality, speed, and business orientation of development planning and feasibility assessment.
