AI & Automation: Start With the Work, Not the Tech
Start with the work, not the technology. The strongest starting point for AI is a clearly defined task: what people need to accomplish, what information they use, and where the process falls short.
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That context decides the approach: AI, rules-based automation, better integration, or a change to the workflow itself. Then we check the conditions that make it useful: accessible data, dependable system connections, clear responsibilities, and a way to evaluate the result.
Governance is part of the build. Someone owns the application, its access is defined, and people review the outputs that need a human decision.
Agree on what success looks like before you build. Quality, effort, cost, and exceptions are measured against the current way of working.
RAPID manages the engagement. Research and Analyze establish the use case. Plan, Implement, and Decide evaluate, deliver, and improve.
One senior partner's cost-accounting methodology became guided software, connecting data intake, model validation, and reporting.
Chapters
Start with the work, not the technology
The approach and the conditions
Governance and success criteria
RAPID manages the engagement
Guided software, and where to start
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