AI Transformation Consulting

Are You Using AI But Not Seeing Its Benefits?

Your board or CEO is asking for more AI — but without a clear sense of where to focus or what success looks like. Your teams are already experimenting, and individuals are finding real value in their daily work. But those experiments haven’t added up to something you can point to yet. You’re trying to figure out how to move faster without disrupting what’s already working, but sometimes it feels like you spend more time cleaning up AI slop than just building what you know.

What Our Research Reveals About Getting Results

We conducted in-depth research across VC-backed startups, PE-backed growth companies, and public company boards to understand what actually works — the best practices for incorporating AI, how to roll it out, and where to apply it. Here’s what we found:

The best teams are seeing 20–50% gains. We found several commonalities among the highest performing teams who are seeing real results. These are replicable best practices – being smart about what use cases you tackle, establishing norms for versioning and prompt engineering, keeping humans in the drivers seat while leveraging agents effectively, and treating AI deployment as change management.

Specific use cases have accelerated by 10x and even 40x. AI has already demonstrated 10x and even 40x gains around new product MVPs and prototypes, creating software in hours that used to take weeks. Though still early days, the speed with which new ideas can be tested and new products brought to market is bridging the competitive moats of established players that seemed secure even a year ago.

Results are achievable through replicable best practices. Luckily, the most common pitfalls of AI deployment are avoidable through well designed process: create clear goals and decision-rights, especially between agents and humans; engineer and version control context and prompts explicitly; build rituals for experimentation and continuous improvement for a dynamic and accelerating field.

Knowing where those leverage points exist in your organization is one of the most valuable early steps — and one of the first things we help you figure out.

Look for where you can be more efficient, not just what you can do with AI. — Executive, PE-backed growth company

Who We Work With

Let’s be real - startups are already using AI across their entire product development cycle and the FAANG companies have the resources to drive their proprietary LLMs throughout their orgs. The rest of us can use expert guidance.

TCGen’s AI Transformation work tends to be the right fit for companies that:

• See the opportunity for “more AI” and want help turning that into clear strategy and plan
• Want to move deliberately — capturing real opportunity without disrupting what’s already working
• Can’t afford to waste a bunch of time on experiments that don’t yield results
• Haven’t yet seen individual usage graduate to sustained, team-level impact
• Have strong product and engineering teams who are eager — but not sure where to focus

We have helped many great companies define and improve their product development processes. Reach out to learn how we can help you.

Our Approach

Grounded in our executive research on AI adoption and decades of product and process transformation work — we focus on three phases.

Why TCGen

TCGen brings a practical and pragmatic approach to AI Transformation and change management.

A Track Record in Transformation

TCGen’s principals have led product and engineering transformations at some of the world’s most demanding organizations. We designed the Apple New Product Process (ANPP) — the development framework used across Apple’s product divisions that enabled them to scale rapidly without losing startup agility. That experience informs how we think about change management, governance, and what it actually takes to get a new way of working to stick.

Our client work spans hardware, software, medical devices, and B2B SaaS — industries where product development complexity is high and the cost of a failed transformation is real.

Proprietary Research, Not Generic Frameworks

The insights we bring to an engagement come from our own primary research. We’ve studied what separates high-performing teams from those stuck at 10% individual gains, and we know what the patterns look like across company stages, industries, and levels of AI readiness. We bring best practices in product management, agile, and emerging AI patterns, as well as our own collection of graphical tools published in our book, Innovate Products Faster.

Principal-led Engagements

Every engagement is led directly by a Principal Consultant — not handed off to junior staff after the kickoff. Our Principals have held executive leadership roles and work alongside your teams at the level where decisions actually get made. You get the same people in the room from assessment through deployment.

We Build Capacity, Not Dependency

Our goal is to make ourselves unnecessary. We help you identify the frameworks that fit your culture, build internal capability through coaching and training, and get out of the way once you’re seeing results. The change should outlast the engagement.

Let’s Talk

We start with a 30-minute intro call to understand your situation and mutually assess if we can be a good fit. From there we can structure an engagement tailored to your strategy, timing, capabilities and constraints.

We’ll be glad to talk.