Three ways I help AI pay off.
When AI doesn’t deliver financial gains, it’s rarely because the model fails. It stalls at one of four points: nobody measured it, it never reached production, people aren’t using it, or nobody owns it.
Why companies don’t get expected AI gains
Most AI problems come from one of four places.
Not measuring
No baseline and no agreed definition of “working”, so nobody can say what AI returns in revenue, margin or cost-to-serve.
Stuck at pilot stage
Demos and pilots that worked once, with no step-by-step logs, no tests and no safe fallback, so nobody will sign off on scaling them.
People not using it
Live in production, but adoption stalled after launch: no training, one bad experience, or an AI workflow that doesn’t fit how people work.
Nobody owns it
AI activity in every function and nobody accountable for what it returns, so pilots multiply and none of them finish.
Three ways to work with me
Know exactly which workflow needs work? Go straight to the delivery sprint. Weighing a few, or not sure where to start? The value review picks it for you. Need someone to own all of it? That’s the fractional AI lead.
AI value review
- Find out which of your AI workflows are worth it, or where to start: keep, fix or stop, in your own numbers.
- A “workflow” is a business process where AI does part of the work and your people check the results.
AI delivery sprint
- One AI workflow live, adopted and proven against a baseline, from a process to automate, a pilot that never went live, or one few people use.
- A “sprint” is a fixed-length piece of work with a measured result.
Fractional AI lead
Someone who owns your AI two days a week: the portfolio, the next workflows, and usage, cost and risk reported every month.
Who I work with
Ravi leads each engagement, supported by senior advisors and experienced specialists selected for the workflow.
Ravi Ayyala
Founder and product AI lead
- I lead each engagement, supported by senior advisors ad experienced specialists selected for the AI implementation.
- Ex-LinkedIn, ex-Blacklane (Uber) product leader.
- MBA (Oxford), AI trained (Stanford), Engineering (NUS)
Linde Scheers
Marketing and growth advisor
- Advises SmartProduct and selected client work on positioning, adoption and distribution.
- Former Google leader and former CMO at eBay Germany.
- Currently CMO at ING Germany.
Shankar AVSB
Finance and strategy advisor
- Advises SmartProduct and selected client work on investment thinking, business outcomes, and technology.
- Technology investor with experience at ABB and Infosys and study at Stanford.
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