AI value review · AI delivery sprint · Fractional AI lead

Most AI spend doesn’t pay off. I fix that.

I find out what’s running, take the best of it to production, and make sure teams adopt it, so you can show the board what AI returns in revenue, margin, and cost-to-serve.

Book a call See your AI readiness score

Companies I’ve worked with

Across product, analytics, and AI.

Who this is for

For leaders who answer to the board for what AI is returning.

CEO

You set the AI ambition and answer for it at board level. You need to show where it moves revenue, margin, market share and customer satisfaction, not just that it’s live.

CFO or board

You approved the budget. You need the number that justifies it.

COO or head of transformation

You’re running the rollout. You need to know what’s actually being used.

CPO or head of product

AI is already on your roadmap. You need to know what to build, what to buy, and what not to do at all, without competing with what your team already owns.

Why it matters

Three problems, all common, all measurable.

$2.52T

Worldwide AI spending forecast for 2026, up 44% year over year.

Source: Gartner, January 2026.

11%

of organizations are actively using agentic AI in production. Another 38% are still piloting.

Source: Deloitte, Tech Trends 2026.

48%

call their company’s AI adoption a massive disappointment.

Source: WRITER, 2026 enterprise AI survey, 2,400 executives and employees.

Most of this isn’t a technology problem. Nobody agreed what “working” means in revenue, margin or cost-to-serve, nobody made it production ready, or nobody tracked adoption once it shipped. All three are fixable, and all three are fast to find out.

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 scorecard and recommendation

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 workflow moving from scope to production

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.

The AI value review picks the workflow, the AI delivery sprint takes it live, and the Fractional AI lead runs the next ones

Example: Tested and proven AI system

A multi-agent healthcare coverage-approval workflow, modelled on real work and run here on synthetic cases.

Four AI agents route the case, gather evidence, prepare a payer package and hand a clear action to a named person. Safety gates a person controls sit around every step, and nothing leaves the test environment without sign-off.

Alt: Four AI agents in a healthcare coverage-approval process, with human review before anything reaches the test payer system

Time, cost per case and logging coverage are tracked at every step.

Observability panel showing trace duration, cost per case, and trace coverage

The first full test found real gaps: 70% correct handling. Correct handling includes the AI passing a case to a person when it should.

AI handling results across evaluation rounds

Three routing and evidence bugs were fixed, then retested on new, never-seen cases. Correct handling rose from 70% to 85%, with zero unsafe actions in both rounds. Cost per case, including automatically grading each test, rose from $0.027 to $0.029.

First test at 70 percent, three bugs fixed, retest on 20 never-seen cases at 85 percent, with cost per case and zero unsafe actions

Who I work with

Ravi leads each engagement, supported by senior advisors and experienced specialists selected for the workflow.

Ravi Ayyala

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

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.
Linde Scheers work and education
Shankar AVSB

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.
Shankar AVSB work and education

FAQ

The short version. Full detail on each offer’s own page.

Know exactly which workflow needs work? Go straight to the AI delivery sprint. Weighing a few, or not sure where to start? The AI value review picks it for you. Need someone to own AI across the business, not one workflow? That’s the fractional AI lead.

The AI value review starts at €2,900 for one workflow and €5,900 for up to five. Its fee counts in full toward a sprint booked within 60 days. The AI delivery sprint starts with week one at €2,900, which counts toward the total. If week one shows the work isn’t worth doing, you can stop there and pay nothing more. Totals start from €8,900. The fractional AI lead starts at €7,500 a month. All fixed fee, scoped before anything starts, and any next step comes with an estimated payback and the assumptions behind it, so you know what has to hold true to get there. Reference-client terms are available for suitable projects. Ask on the call.

Access is agreed upfront. Sanitized examples are shown before anything real is shared, and nothing proprietary leaves your environment without agreement.

Not in the usual sense. I don’t sell strategy decks or hours, I have no incentive to recommend more work than you need, and I take what I recommend live and help your team use it daily, so you can measure the financial return.

The first call is usually within a few days of reaching out. A single-workflow review takes 1 to 2 weeks, and every sprint starts with week one.

No. The review, or week one of the sprint, shows what to build, what to buy, and what not to do at all, checked against what’s already on your roadmap.

  • Your developers can build alongside me and review everything. Week one agrees who builds what, with no price change.
  • Or your team builds it and I advise: which workflows come first, that every step is logged and guardrails are in place, then testing and tuning until the numbers hit target, plus training on daily use.
  • Code, test cases and dashboards are yours once paid, with support if you want it.”

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Start with the review, or go straight to the sprint if you already know what needs fixing.

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