Business challenges
Why AI Strategy & Roadmap projects fail
01
Everyone talks about AI but nobody knows where to start
Leadership wants an AI strategy. The team is overwhelmed by options. Vendors pitch everything as AI. Meanwhile competitors are already deploying real use cases.
02
AI pilots that never reach production
The proof of concept worked in a controlled demo. It never reached production because nobody planned the data requirements, integration complexity, change management, or governance model.
03
AI spend without measurable outcomes
Tools purchased, models built, consultants engaged. Nobody can connect any of it to revenue, cost reduction, or measurable customer outcomes. The board is sceptical.
04
Build vs buy decisions made without analysis
Teams build custom models for problems existing platforms already solve natively. Or they buy expensive AI platforms for use cases that need a custom approach. Both mistakes are expensive.
What is included
Everything in this service
Use Case Identification
Structured workshops to identify, document, and score AI use cases by business impact, data readiness, and implementation feasibility. Output: a ranked use case register that leadership can prioritise and fund with confidence.
Deliverables
How it works
Our delivery process
Discovery workshops
Identify business challenges, existing data assets, current technology landscape, and AI appetite across leadership and operational teams.
Use case scoring
Score and rank every AI use case by business impact, data readiness, and implementation feasibility. Create the priority register.
Readiness assessment
Assess data quality, infrastructure, team capability, and governance maturity against the requirements of top-ranked use cases.
Build vs buy analysis
Determine the right delivery mechanism for each use case — native platform feature, specialist tool, or custom build.
Roadmap delivery
Present the 12-month roadmap with quarterly milestones, resource plan, and success metrics. Approved by leadership before delivery ends.
Success stories
Client results
Every AI workshop we had done previously produced a list of possibilities. Celumai produced a ranked register of 6 use cases we could execute starting within 30 days, with the data requirements and resource plan for each. The difference in clarity was immediate.
The build vs buy analysis alone saved us from purchasing a platform whose core capability Salesforce Einstein already delivers natively in our licence. That analysis paid for the engagement many times over before we had started implementation.
Platforms we use for this service
Free resource
AI Readiness Assessment Template — get it free
Score your organisation across data quality, infrastructure, team capability, and governance to understand your AI readiness before committing to investment.
From our team
Related insights
FAQ
Your AI Strategy & Roadmap questions, answered
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