Your Team Has AI Tools.
We Make Them Actually Work.
Structured programs that turn AI coding tools into measurable productivity gains for product engineering organizations.
Why AI Tools Aren't Delivering
Tools Deployed, ROI Unknown
You bought Copilot and Cursor licenses. The CFO asks about ROI. Engineering shrugs. Nobody can tell the board what they're getting for it.
See how we fix thisInconsistent Adoption
Some developers are power users. Others never open it. There's no framework to close the gap, and one-size-fits-all training doesn't work.
See how we fix thisNo Measurement Baseline
Without a before picture, you can't prove the after. Most teams never establish a productivity baseline, so gains are invisible.
See how we fix thisGround Truth. Decisions. Numbers.
We don't install tools and hope. Every engagement — whether you start with Advisory, a Workshop, or a Retainer — runs the same way: ground truth before recommendations, decisions made in the room, and measurable outcomes every month.
Most engagements start with a Workshop, which often points to whether your team needs ongoing Advisory counsel or hands-on Retainer execution next.
Stakeholder interviews and audits
No assumptions, no installed-and-hope deployments. We surface objectives, blockers, and the real cost of your current AI tooling before recommending a thing.
Working sessions in the room
Workshops produce decisions you can act on — not slide decks. Half-day sessions using our Functional Technology Framework, with a punch list and a 6-month roadmap.
Measurable outcomes, ongoing
Whether you're on month-to-month Advisory or a full Retainer, every engagement reports against the roadmap. What improved, what stalled, where the next opportunity lives.
25 Years Building Engineering Organizations
A versatile, award-winning Senior Product Development Executive with over 25 years of experience driving innovation through technology-based Product Management. As a former engineering executive, I led the development of major Smart Home platforms including Control4 and OvrC, creating IoT ecosystems valued in the hundreds of millions while establishing engineering teams across three continents.
Today, I help product engineering organizations close the gap between buying AI coding tools and actually getting measurable value from them. The same discipline that scaled an IoT platform to 50 million devices is exactly what turns sporadic AI tool usage into compounding productivity gains.
The AI Productivity Gap
74% of teams deployed AI tools. Only 26% are getting measurable value.
Licenses bought. Gains invisible.
Engineering bought AI coding licenses. Developers use them sporadically. Nobody measures whether it's helping. The CEO wonders if it's just another line item. Meanwhile, competitors with structured AI workflows are shipping faster with smaller teams.
Structured programs. Proven gains.
The gap isn't the tools — it's the workflow, the measurement, and the organizational commitment. A structured program that assesses your baseline, builds workflows around real work, and measures the results month over month closes that gap permanently.
Three Ways to Engage
Pick the path that fits — or let a Workshop point you to the right one
Strategic AI counsel for SaaS leaders facing bet-the-roadmap decisions
A senior AI engineering voice on call when you need one — without hiring a full-time executive. Steady counsel on architecture, tools, hires, and where AI is actually moving.
- On-call voice on architecture and major technical decisions
- Vendor pitch reviews and contract scrutiny
- Personnel decisions: hiring, team structure, leveling
- Acceleration plans for your AI toolset and adoption
- Up-to-date intelligence on AI advancements that move your roadmap
- Regular strategy sessions tailored to what's in front of you
Build AI workflows that actually make your team ship faster
A focused engagement that aligns engineering and exec teams on what AI investment looks like — and leaves you with a 6-month plan with owners, KPIs, and budget bands. Two weeks of prep, one half-day session, deliverables in hand.
- Two-week stakeholder interviews to surface objectives and blockers
- AI tool and infrastructure cost audit
- Developer adoption profiles + AI Engineering Score across six dimensions
- Half-day in-person session using our Functional Technology Framework
- Executive deck with go-forward recommendations
- Punch list + 6-month roadmap with owners, KPIs, and budget bands
Keep the gains compounding and stay ahead of competitors
Continuous improvement and scaling across the organization. Every month, you see the numbers and the next opportunity.
- Monthly metrics review and opportunity identification
- Hands-on implementation of new AI workflows
- New team onboarding into proven methodologies
- Quarterly evaluation of new AI capabilities
- Executive readout with cumulative ROI tracking
Find Out What AI Tools Should Actually Be Delivering
Two weeks of prep, a half-day Workshop, and a 6-month roadmap. If we don't find at least $15,000 in savings or productivity gains, you pay nothing.
What People Say
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.
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.
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.