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You Know Your Business.
We Know AI.
You Only Pay When We Save You Money.

We embed AI across your operations and only get paid from the savings we generate. Zero risk. Total alignment. Measurable results in 90 days.

Our team has led enterprise technology programs at Fortune 10 financial institutions, global technology firms, and high-growth SaaS companies.

30-minute diagnostic call. We'll identify your top 3 AI savings opportunities — no obligation, no pitch.

We only get paid when you save money. Here's exactly how it works.

Most consultants charge by the hour. The longer the project takes, the more they earn. We flipped that model entirely.

Our fee is a percentage of the measurable savings we generate for your business.

$0
Zero budget risk

No six-figure retainers. No open-ended SOWs. The engagement literally pays for itself from day one.

100%
Total incentive alignment

We are financially motivated to find the biggest savings possible, as fast as possible. Our interests and yours are identical.

Measurable accountability

We agree on specific KPIs before we start. Savings are validated by your finance team, not ours. Complete transparency.

10%of verified savings over 24 months.

Zero downside risk.

Your engineering budget:$10M/yearWe deliver:20% efficiency gainYour annual savings:$2MTotal savings (24 months):$4MOur fee (10%):$400KYour net gain:$3.6M

Model your own savings

10%of verified savings over 24 months.

Zero downside risk.

$1M$50M

$10M/year

YOUR ENGINEERING BUDGET:$10M/yearWE DELIVER:20% efficiency gainYOUR ANNUAL SAVINGS:$2MTOTAL SAVINGS (24 months):$4MOUR FEE (10%):$400K
YOUR NET GAIN:$3.6M

If we don't deliver measurable results, you pay nothing beyond a small diagnostic fee. Period.

Your expertise meets our AI capability

Your team knows your customers, your operations, your competitive landscape. We bring the specialized AI expertise to unlock value you haven't captured yet.

1

We diagnose your biggest savings opportunities — together

A 30-minute diagnostic where we learn your workflows and identify the top areas where AI creates measurable value.

2

We implement AI solutions alongside your team

Not for them — with them. Your people learn the new workflows while we build and deploy together.

3

You measure results and we share in the savings

Your finance team validates the numbers. If we deliver, we earn a share. If we don't, you pay nothing.

Three services. One outcome: measurable results.

Each service is designed to solve a specific problem — and all three work together under our gain-share model.

Team Acceleration

Multiply your team's output with AI workflows.

Your best people are spending hours on work AI can handle in minutes. We train your existing teams to work with AI tools that multiply their output — so you ship faster without hiring more.

Typical result: 30–50% reduction in project cycle times within 90 days.
FintechSaaSHealthcare

Intelligent Automation

Find and eliminate the bottlenecks.

We audit your workflows — engineering, operations, finance — and build custom AI agents that eliminate repetitive work. Quality assurance, documentation, data processing: automated, monitored, and continuously improving. You keep the team. We remove the bottlenecks.

Typical result: 2–3x capacity amplification through intelligent automation.
FintechE-CommerceInsurance

On-Demand AI Talent

48 hours to deployment.

Transitions create gaps. We maintain a bench of AI-trained specialists who can embed with your team in 48 hours. No lengthy recruiting cycles. No six-month ramp. Just experienced people who know how to deliver immediately.

Typical result: Confidence to transform without fragility risk.
All VerticalsRegulated Industries

Results across industries

Fintech

47% efficiency gain in 90 days

A mid-size fintech with 85 engineers deployed the 10x Protocol.

Avg Cycle Time
14 days
6.2 days
-56%
Monthly Deploys
3
11
+267%
Manual QA Spend
$1.8M/yr
$340K/yr
-81%
Engineer Satisfaction
62%
89%
+44%

"We expected consultants to deliver a roadmap. They delivered velocity. Our team is shipping faster than our Series A days -but with bank-grade compliance."

-VP of Engineering, Mid-Market Fintech
SaaS

3x deployment frequency in 60 days

A Series B SaaS platform with 40 engineers needed to ship faster without adding headcount.

Deploy Frequency
Weekly
3x Daily
+21x
PR Review Time
3.5 days
0.8 days
-77%
Documentation Freshness
60% stale
95% current
+58%
Planned Hires Avoided
8 FTEs
0 needed
$1.6M saved

"We were about to hire 8 more engineers. After the automation audit, we realized we had 40% hidden capacity locked up in manual processes. The savings funded our entire next product line."

-CTO, Series B SaaS Platform

How we compare to traditional consulting

We get asked this a lot. Here's the honest answer.

Big 4 / MBBWhatAboutAI?
Pricing ModelHourly billing ($300-600/hr)Gain-share: 10% of verified savings
Primary DeliverableStrategy decks and roadmapsShipped code and measurable velocity
Timeline to Results12-18 month engagements90 days to measurable improvement
Minimum Engagement$500K+ typical$15K audit, scales with value
Team CompositionJunior analysts + senior partnersPractitioners who code daily
Incentive AlignmentIncentivized to extend timelinesIncentivized to deliver fast

Companies acting on AI now are pulling ahead. The gap is widening.

This isn't about fear — it's about the opportunity cost of waiting while your competitors move.

60%

of enterprises have active AI deployment programs

72%

of AI value in mature companies comes from core operations

15–20%

competitive disadvantage from waiting 12 months

Who You'll Work With

We still ship code daily. That's the difference.

James Perkins

James Perkins

Co-Founder

Led large acquisition integrations at a Fortune 100 Bank. When companies merge, someone has to make their people and systems talk, while ensuring nothing breaks when billions of dollars flow through. That someone was James. For years.

Sean Boyce

Sean Boyce

Co-Founder

Decades solving mission-critical problems for Fortune 500 tech giants. The kind of problems where "outage" means front-page news and "downtime" costs millions per hour. He's saved enterprises tens of millions through smart automation.

"You've built something worth protecting and growing. We've spent years learning how AI can amplify exactly that. Let's talk about what's possible."

Built on Fortune 100 experience

Before launching What About AI?, our team held senior leadership roles at some of the world's largest enterprises.

Sean Boyce

Sean Boyce

Fractional CPO/CTO & AI Strategist

Led AI-driven transformations as fractional executive across financial services, insurance, and enterprise SaaS:

VanguardRobo-advisor platform & digital investment tools
CieloAI-powered talent acquisition transformation
NxtStep ConsultingFractional CPO/CTO for PE/VC portfolios
James Perkins

James Perkins

Enterprise Payments & Technology Leader

Led enterprise payments and technology organizations across global Fortune 500 brands:

Top 4 U.S. bankLed global payments org — enterprise technology innovations
Fortune 500 luxury brandGlobal payments modernization across 5 countries
Major sports merchandise companyEnterprise-wide payment infrastructure
Global fashion & retail conglomerateCross-brand technology transformation

Combined 30+ years of enterprise AI and technology leadership. We don't just advise — we've done this from the inside.

Discover your AI readiness level

In 2 minutes, get a personalized assessment of your team's AI maturity and uncover your savings opportunities — plus actionable recommendations tailored to your situation.

Frequently Asked Questions

How is this different from hiring McKinsey/Deloitte/Accenture?
They bill by the hour. We take a share of savings. They're incentivized to extend engagements; we're incentivized to deliver fast. They hand you strategy decks; we implement, train, and iterate until the numbers hit. Also: their minimum engagement is often $500K. Ours starts at a fraction of that -and only scales up if we're delivering value.
What if our codebase is too complex/legacy for AI tools?
Legacy systems are actually where agentic AI shines most. Modern tools like Cursor can index entire repositories -20+ years of code -and understand architectural context. We've integrated AI workflows into banking systems older than some of your engineers. Complexity is our specialty.
How do you measure the value for gain-share?
We lock in baseline metrics at engagement start. Then we track: Productivity uplift (cycle time reduction, deployment frequency, review throughput), capacity amplification (more output from the same team), and cost avoidance (planned hires that became unnecessary due to increased capacity). All metrics are jointly verified quarterly. If we can't agree on attribution, you don't pay.
Is this about cutting headcount?
No—it's about amplifying your existing team. Per the 2025 EY survey: 83% of organizations that achieved AI productivity gains reinvested into R&D, upskilling, and new initiatives rather than reducing headcount. We help your people do more, not replace them. If you've already over-corrected on layoffs, our On-Demand AI Talent service can help backfill while you rebuild.
How fast can we see results?
Our benchmark: 90 days to measurable cycle time improvement. Upskilling cohorts complete in 8-12 weeks. Automation audits deliver the Efficiency Gap report in under 2 weeks. We're not here for 18-month transformations.
What's the minimum engagement size?
Our Efficiency Audit starts at $15,000 — a 2-week diagnostic that delivers a quantified savings report. If we move to implementation, that fee credits against the full engagement. There's no minimum team size, but our sweet spot is organizations with 50-500 engineers where the savings opportunity is largest.
How does this work with our procurement process?
We're experienced with enterprise procurement. We can work with MSAs, SOWs, purchase orders, and preferred vendor registration. The gain-share component is structured as a performance bonus on top of a base engagement — procurement teams appreciate the aligned incentives. We'll work with your legal and procurement teams to structure things in a way that fits your process.
What about data security and IP?
We sign NDAs before seeing any code. Our diagnostic starts with secure, read-only access — we analyze in place, and data never leaves your environment. For regulated industries (finance, healthcare), we have compliance frameworks developed from our Wall Street banking experience. SOC 2-aligned access patterns and full audit trails are standard.

Ready to see what's possible?

You've built something worth protecting and growing. We've spent years learning how AI can amplify exactly that. Let's talk about what's possible.

30-minute call. We'll show you exactly where AI can save you money — and how our gain-share model eliminates your risk.

business@whataboutai.com

Methodologies proven at Wall Street's largest banksFortune 500 enterprise experienceGain-share pricing: you only pay from the savings we create90-day measurable outcomes

Ready to see what's possible?

Start with a free assessment or talk to a practitioner. No sales pitch, no obligation.

Or email us directly:business@whataboutai.com