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You upgraded the engine with AI.
You haven't touched the rest of the car.

That's the AI Payoff Gap.

AI spend is up. Engineers are faster. Revenue hasn't moved. The reason is structural.

Book a Diagnostic Conversation Explore Services
$320M
Annual product revenue built & scaled
50M+
Active connected devices managed
$530M
Product ecosystem revenue supported
25 yrs
Engineering leadership, connected products
The Problem

Fast engineers. Flat revenue.
That's the AI Payoff Gap.

"The board wants to know why AI spend isn't in the ARR."

Engineers are faster. The AI bill is higher. Revenue hasn't followed. The model that decides what gets built hasn't changed — and AI can't fix that on its own.

See how we close it

"Product says engineering can't ship. Engineering says product can't define."

Not a people problem. It's the ownership gap — product owns the what, engineering owns the how. Tolerable when coding was slow. AI made it expensive to leave in place.

See how we close it

"We added headcount and tools. The roadmap is still slipping."

In connected products it runs three directions — hardware, firmware, cloud on separate schedules. AI just made every layer faster at building the wrong thing.

See how we close it

"The board is holding me to commitments I didn't make."

You inherited the roadmap and the AI mandate — not the operating model to deliver them. That gap isn't yours to apologize for. It's structural, and it's fixable fast.

See how we close it
How We Work

Ground Truth. Decisions. Numbers.

One engagement, two phases. The Workshop diagnoses the gap and produces a working baseline. The Installation puts a structured way of working in place — at Advisory or Embedded intensity — so the gains compound.

Ground truth before recommendations. Decisions made in the room. Measurable outcomes every month — not slide decks.

01 — Ground Truth First

Stakeholder interviews and audits

No assumptions. We surface objectives, blockers, and the real cost of your current AI tooling before recommending a thing.

02 — Decisions, Not Slides

Working sessions in the room

A scored, reprioritized roadmap — built live, with a punch list and a 6-month plan attached.

03 — Numbers Every Month

Measurable outcomes, ongoing

Whether you're on Advisory or Embedded, every engagement reports against the roadmap — what moved, what stalled, what's next.

Graham Hardy
25+ Years in Engineering & Product Leadership
Why Me

25 Years Building Connected Products Organizations

25 years on the operator side — not consulting. I built OvrC from zero to 50M+ devices and $320M in annual product revenue, and led engineering through a $1.4B acquisition.

Today I work with CEOs, CTOs, and CPOs at connected products companies to convert engineering investment — including AI spend — into measurable top-line revenue. Same structural pattern, closed at scale.

Connected Products Specialist
25 years in hardware-plus-software: smart home, security, commercial control, access control
Operator, Not Consultant
Built and ran the organizations — OvrC at 50M+ devices, Snap One at $530M in annualized revenue
Revenue-Anchored Results
Every engagement measured against top-line revenue impact — not tool adoption rates or cycle time
Recurring Revenue Builder
Built subscription infrastructure inside hardware platforms — including a $15M ARR pipeline in under a year
Multi-Acquisition Integrator
Led due diligence and integration across 5 acquisitions — including a $1.4B sale — without breaking delivery
The AI Payoff Gap

Fast Engineers. Stalled Revenue Line.

More headcount. More AI spend. The board's still asking why competitors are moving faster.

The Reality

Spending more. Shipping the same.

Code is getting written faster than ever — revenue isn't following. The blame loop runs every release. The problem is structural, and more people or tools doesn't fix it.

30 engineers hired — roadmap didn't move
$400K in tool spend with no revenue line to show
Gap Closed

Engineering investment that converts to revenue.

Close the ownership gap and every dollar of engineering spend — including AI — starts converting to revenue. Customers stay longer and buy more. Competitors fall behind. You take share.

2–3× Effective revenue impact from existing team
90 days To identify and begin closing the gap
One Offer, Two Phases

Close the AI Payoff Gap

Start with the Workshop. Then pick how much help you want — Advisory or Embedded.

Start Here
Phase 1 · Workshop

Find out where your AI spending is going to waste

One day together. We score your roadmap as a team and you leave knowing exactly what to fix first.

  • We talk to 3–5 of your leaders before we meet, so we already know your story
  • We check your AI tools, look at where product and engineering don't agree, and score your roadmap by what makes money, saves money, or cuts risk
  • You leave with a short list of fixes, who owns each one, and a 6-month plan
  • We tell you which path fits next — Advisory or Embedded
Schedule the Workshop →
Phase 2 · Advisory

Your team does the work. I keep you on track.

Your leaders make the change happen day to day. I check in often, and I speak up fast if old habits start creeping back in.

  • We review your roadmap every month and score each item by the money or risk it affects
  • Call or email me anytime you're stuck on a tough call between product and engineering
  • I help you get ready for board meetings, every quarter
  • A short written note each month — what's working, what's not, what to do next
Schedule a Discovery Call →
Phase 2 · Embedded

I help you make the change happen, faster

Best for teams with a big problem and not much time. I work alongside your team every week — not just on calls, but in the work itself.

  • I roll up my sleeves and help your team make the change happen, week by week
  • One-on-one coaching every month for your key leaders
  • I step in fast if old habits start coming back
  • When we're done, you get a simple playbook so your team can run it without me
Explore Embedded →
AI Payoff Gap Workshop

Find Out What Your AI Investment Should Be Delivering

One day. Named owners. A board-defensible baseline.

Book a Diagnostic Conversation 20 minutes to see if it fits — no pitch
A precise diagnosis
Exactly where AI and engineering spend is converting to revenue — and where it isn't
A scored roadmap
Every top item ranked by revenue, cost, or risk — a financial case both sides commit to
A punch list + 6-month plan
Named owners, success metrics, and a plan your board can read
Client Success Stories

What People Say

★★★★★ 5.0 out of 5 · Trusted by leaders across the industry
"

Graham is a leader that positions his team members for success and opportunity. He extends himself not only to Products and Services, but also across Marketing, IT, Product Support, and Finance — in doing so he helps raise the entire organization. Whether you're on Graham's team or connected with him in any way, you're going to get his full attention.

A
Alex Mann
Senior Product Development Executive
LinkedIn
"

Graham's leadership and clear thinking are true assets. He drove the implementation of a new eCommerce platform that facilitated nearly 75% of company revenue, and took on software development leadership for the company's innovative IoT OvrC platform. His leadership skills are highly regarded by teammates and the executive team. I highly recommend Graham to any company.

J
Joe Topinka
3× CIO of the Year · Executive Coach & Advisor · Author
LinkedIn
"

Graham has both excellent technical and business understanding — allowing him to align his teams with larger business goals while understanding the finer points of complex technical architecture. Graham leads with a calm and embracing demeanor which grows great trust. Graham and I never had a bad day working together, even on the most trying projects.

M
Matthew Burkhard
Technology Leader, Cloud & AI Platforms
LinkedIn
Client Results

The Structural Problems Aren't New.
Neither Are the Results.

Engineering investment that isn't converting to revenue. A partition between product and engineering that everyone feels but nobody names. Here's what happens when you close it.

Subscription revenue growth chart — Connected Products Company
Smart Home

$13M to $30M in Recurring Revenue

+130% Annual Subscription Revenue
The Situation

A subscription business sat inside an 80,000-unit/year hardware platform — invisible to customers, underpriced, with no renewal path or dealer incentive to sell it. The product hadn't failed. It had been neglected.

Key Outcomes
  • 3× Price increase — $100/yr to $300/yr — with a restructured tier model and no market exit
  • 33× Take rate — ~1,200 to ~40,000 units/yr via aligned dealer incentives and direct marketing
  • 2× Annual retention — 30–40% to 70–80% after ERP integration and in-app renewal
  • 18 mo To $30M ARR — by fixing a neglected business, not building a new one
Delivery velocity and revenue growth chart — SaaS Post-Acquisition
Consumer Device Product Company

60% Faster to Market. 20% Revenue Growth. By Doing Less.

60% Faster Time to Market
The Situation

A $20M SaaS company's post-acquisition integration stalled — ad-hoc product ownership, low trust between teams, and expansion into multiple states at once. Complexity was compounding faster than capacity could absorb it.

Key Outcomes
  • −60% Time to market after disciplined PM replaced ad-hoc ownership
  • +20% YoY revenue growth from narrowing to 1–2 state focus — higher margin, faster delivery
  • ↓ CVEs Undisclosed platform vulnerabilities surfaced and put on a structured remediation path
Profitability and delivery timeline chart — Early-Stage Software Company
SaaS Services Company

From Bleeding Money to Profitable — in Six Months

Profitable in 6 Months
The Situation

A $2–3M software company was losing money with no visibility into why — software spend had grown undisciplined, projects took 3–4 months, and there was no P&L link between spend and outcome.

Key Outcomes
  • Break-even Reached in the final month — after P&L visibility exposed where margin was going
  • −20% Software and operational costs cut via a full stack audit — zero loss in output
  • ~6 wks Project delivery time, down from 3–4 months, via structured intake and scope management

All companies anonymized. Results available upon request. Some of these engagements predate AI tooling — same structural pattern, then and now.