We embed with your leadership team, identify the highest-impact AI opportunities, and implement systems that deliver measurable outcomes — starting within 90 days.
127%
Avg. revenue lift, year one
90 days
To first measurable outcome
320%
Median ROI on AI investment
98%
Client retention rate
01 / AI Strategy & Roadmap
We assess your operations, map your data landscape, and identify where AI creates the most leverage — producing a prioritized roadmap with ROI projections before a single line of code is written.
What's included
84%
of clients find opportunities they hadn't considered
0%
Average revenue lift
Across all client engagements in year one
0
Days to first outcome
Our deployment model is built for speed
0%
Median ROI year one
Return on AI investment, audited across portfolio
0%
Client retention
Because outcomes are what we're measured on
Industries served
Fortune 500HealthcareFinTechLogisticsRetailSaaSManufacturingFrom 14-day decisions to 2-hour decisions.
87%
Faster approvals
$18M
Revenue recovered
2.1×
ROI in 6 months
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40% of clinical time returned to patients.
40%
Admin burden cut
94%
Clinician satisfaction
$2.4M
Annual savings
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$5.8M in waste eliminated. Quarter one.
91%
Forecast accuracy
$5.8M
Waste eliminated
3×
Inventory efficiency
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Our implementation methodology eliminates the guesswork that kills most AI initiatives. You know what's happening, when, and what success looks like — at every stage.
Our Story
Built by people who've shipped AI at scale.
Delight AI was founded by operators who saw the gap between enterprise AI ambition and actual delivery. Our team's background spans McKinsey, Google, Deloitte, and Amazon — we've collectively built AI systems serving hundreds of millions of users.
Engagements delivered
50+
Across 8 industries, 3 continents
How we're different
"Outcomes over outputs. Always."
We don't celebrate code shipped. We celebrate revenue gained and hours reclaimed.
Where we've worked
McKinsey Digital
Former leadership
Google Cloud
Former leadership
Deloitte
Former leadership
Amazon
Former leadership
Leadership
Founder & CEO
Former: McKinsey Digital
Chief AI Officer
Former: Google Cloud
VP of Delivery
Former: Deloitte Consulting
Head of Data Science
Former: Amazon
73%
of enterprise AI projects fail to reach production
Most AI initiatives collapse under unclear success metrics, poor data quality, and stakeholder misalignment. Here's the operating framework we use.
How to model hard and soft savings, stress-test your assumptions, and present to your board with confidence.
Production AI requires RAG architecture, fine-tuning, and rigorous evaluation — not just a ChatGPT wrapper.
A diagnostic for assessing your data maturity, talent readiness, and process clarity before committing.
60 minutes. No sales pitch. We'll identify your top AI opportunities and give you a path forward — commitment-free.
"In 60 minutes they identified two AI opportunities we'd been sitting on for years. We had a roadmap a week later."
— COO, Series C FinTech
"No fluff, no sales pitch. Just a direct conversation about our business and a clear path forward."
— VP Engineering, Healthcare System
"I've had dozens of vendor calls. This was the first one where I learned something."
— CTO, Enterprise SaaS
We respond within 2 business hours.
