Back to Feed
The AI Service That 95% of Businesses Desperately Need (We Sell This The Most)
The Signal
Enterprise generative AI success is rarely a matter of better models, but rather a result of whether a company audits its workflows before building. Most pilots fail because teams skip this diagnosis, mistaking personally annoying tasks for high-impact professional requirements—a gap the speaker argues is effectively bridged by classifying all workflows into manual, hybrid, or automated categories based on objective impact and risk.
The Case
- An MIT study found 95% of enterprise generative AI pilots fail to drive measurable returns, a figure the speaker attributes directly to a lack of pre-build workflow diagnostics rather than underlying model technicalities.
- The core diagnostic method involves scoring every candidate workflow from 1 to 5 on both business impact and risk, preventing the common mistake of over-automating customer-facing or legally sensitive tasks.
- A case study of a midsize B2B services firm demonstrates the framework's intent: client quote generation, initially desired as a fully automated process, yielded better results as a hybrid model that human-reviews AI drafts in 90 seconds instead of the previous 25 minutes.
- The speaker frames this audit process as a highly marketable consulting product, advising that pricing be anchored to the cost of avoided failed builds rather than the consultant's time spent.
- Patterns collected across 80+ engagements suggest that startups often incorrectly prioritize inbox triage—which feels high-impact to the founder but carries little business weight—leading to wasted development cycles.
- The presentation includes a promotional segment for Templify, a tool the speaker claims is used by auditors at KPMG to generate professional-grade PowerPoint decks, though these figures and commercial claims remain unverified outside the speaker's own narrative.
The 1 Minute Signal Take
This is a practical, if self-serving, manual for evaluating AI ROI that effectively highlights the difference between vanity automation and genuine business process improvement. While the speaker's causal link between audit-absence and the 95% failure rate is an unproven assertion, the scoring matrix itself is a rigorous tool for tempering project expectations. Watch it for the tactical breakdown of audit formats, but skip if you are strictly seeking a balanced overview of AI deployment challenges.
Time saved:
Tags
Back to Feed