Enterprise AI

An enterprise AI roadmap should show sequence — and restraint.

A credible AI roadmap is not a timeline of every idea the organisation wants to explore. It is a management decision about what deserves to start, what must be prepared and what should deliberately wait.

Roadmaps fail when they start with technology

Technology choices matter, but they should follow the operating decisions: business outcome, use-case priority, data dependency, control requirements, ownership and change capacity.

Otherwise the roadmap becomes a procurement sequence rather than an adoption sequence.

Wave 1 — prove value where readiness is strongest

Select a small portfolio where business value is meaningful, foundations are sufficiently strong, ownership is clear and risk is manageable. Wave 1 should establish confidence and reusable practices, not merely generate pilots.

Wave 2 — unlock higher-value constrained use cases

Use Wave 1 to resolve dependencies, improve data, strengthen governance and build operating capability. Wave 2 can then address initiatives that were valuable but not initially ready.

Wave 3 — scale and transform

Later waves may include cross-functional, higher-autonomy or more structurally disruptive use cases. These should benefit from the governance, architecture and learning created earlier.

Include foundation work in the roadmap

Data remediation, operating-role design, security controls, model-monitoring standards, process redesign and user capability are roadmap items. Treating them as background work makes sequencing unrealistic.

Create a Do-Not-Start list

Executives need explicit restraint. Document use cases that should not begin because value is weak, dependencies are unresolved, risk is disproportionate or ownership is unclear.

A Do-Not-Start list protects capital and leadership attention.

Govern the roadmap independently

Reassess readiness and value as evidence changes. The organisation should be able to stop, defer or reorder initiatives without being trapped by implementation commitments.

About the author

Naveenn Suri is the founder of SIRTIKA™, a technology entrepreneur and former EY Partner with 28+ years across enterprise technology, B2B revenue, consulting and transformation. SIRTIKA™ turns operating experience into structured decision architecture for revenue, enterprise AI and capability.