Most work begins with a readiness assessment. In 2-3 weeks, you'll know whether to invest in AI now, what to build first, and what success looks like.
We take on 7-10 partnerships yearly to ensure depth of attention and real outcomes. We'll say quickly if we're not the right fit.
Outcomes first · Plain language · Research-led · Responsible AI · Evidence you can trust
We'll recommend the simplest path that works—based on fit, cost to run, and time to value.
2–3 weeks
Get clarity on where you are and what to tackle first.
You'll walk away with:
Best for: teams with pilot fatigue or unclear priorities.
Start a readiness assessmentDiscovery interviews
We talk to key stakeholders across product, engineering, and business teams to understand your current state
Assessment & analysis
We evaluate your product practice, data readiness, team capabilities, and strategic alignment
Findings & recommendations
You receive a prioritized roadmap with clear next steps and a 90-day action plan
"A B2B SaaS company with 10+ AI pilots but no clear path forward"
Challenge: Multiple teams were running disconnected AI experiments, creating technical debt and unclear ROI.
Outcome: After a 3-week assessment, we identified that only 2 of their 10 pilots aligned with strategic outcomes. We created a 90-day plan to prove one high-value bet and retire the rest, saving $200K in annual cloud costs.
Result: Clear priorities, reduced waste, team alignment
6 weeks
Build an outcome-based roadmap that everyone can explain and commit to.
You'll walk away with:
Best for: leaders ready to choose and commit.
Plan a roadmap sprintOutcomes & opportunity framing
Define clear business outcomes and identify opportunity spaces aligned with your strategy
Rapid user research
Validate assumptions with real users to understand needs and uncover hidden value
Bet prioritization
Rank opportunities by impact, feasibility, and strategic fit—then commit to the first bet
Execution plan
Build a measurement framework and identify build partners if needed
"An EdTech platform deciding between AI tutoring, assessment automation, or content personalization"
Challenge: Leadership was divided on which AI feature to build first, with limited engineering capacity for only one major initiative.
Outcome: Through user research with teachers and students, we discovered that assessment automation would reduce teacher workload by 8 hours/week—the highest-impact option. We created a 6-month roadmap with clear success metrics and identified a trusted build partner.
Result: Unified leadership, evidence-based decision, clear execution plan
12+ weeks
From planning through production, with enablement and ongoing support. Includes rollout planning, team training, governance implementation, and measurement frameworks.
You'll walk away with:
Best for: organizations moving from planning to sustained delivery and learning.
Talk about transformation supportEmbedded partnership
We work alongside your team through discovery, build, and launch phases
Build & measure
Launch in phases with clear metrics, user feedback loops, and governance checkpoints
Team enablement
Train your teams on product practice, AI governance, and sustainable delivery rhythms
Transition & scale
Hand off with documentation, dashboards, and a plan for the next bets
"A MarTech company transforming from manual content creation to AI-assisted workflows"
Challenge: Teams needed to adopt AI tools while maintaining content quality and brand voice, with risk of adoption failure if not done carefully.
Outcome: Over 16 weeks, we embedded with their team to launch an AI writing assistant with phased rollout. We trained 50+ content creators, established quality guidelines, and built measurement dashboards. The feature now powers 40% of content creation with 95% quality approval rates.
Result: Successful adoption, measurable impact, enabled teams
Note: We collaborate with your teams and trusted partners; we don't run an engineering org. See our approach
1–2 days
Research-backed training that transforms your team's AI capabilities while respecting company culture.
You'll walk away with:
Best for: teams transitioning to AI-enhanced workflows or organizations prioritizing responsible adoption.
Explore workshop optionsNeeds assessment
We understand your team's current AI knowledge, roles, and specific use cases
Customized curriculum
Tailor content to your industry, tools, and company values around responsible AI
Hands-on workshop
Interactive sessions with real-world scenarios, ethical frameworks, and tool practice
Ongoing support
Access to materials, community forum, and follow-up Q&A sessions
"A 50-person product team at a B2B SaaS company transitioning to AI-enhanced product development"
Challenge: Product managers and designers felt pressure to add AI features but lacked foundational understanding of capabilities, limitations, and ethical considerations.
Outcome: We delivered a customized 2-day workshop covering AI fundamentals, ethical frameworks, and hands-on prompt engineering. Teams practiced with their actual product scenarios and developed company-specific AI guidelines.
Result: 90% of participants felt confident evaluating AI opportunities; team created shared vocabulary and ethical guardrails
3–12 months
Strategic guidance for leaders navigating AI transformation and building AI-literate teams.
You'll walk away with:
Best for: executives making strategic AI decisions or building organizational capability.
Learn about advisory servicesStrategic alignment
Understand your business objectives, competitive landscape, and organizational readiness
Regular strategic sessions
Monthly or bi-weekly advisory meetings to navigate decisions, evaluate opportunities, and solve challenges
Capability development
Build frameworks for AI decision-making, team enablement, and responsible governance
Progress tracking
Quarterly reviews to assess impact, adjust strategy, and ensure alignment with business goals
"A VP of Product at a consumer software platform managing the transition to AI-first product development"
Challenge: Needed to build organizational AI literacy, establish responsible AI practices, and advise the C-suite on competitive positioning—all while managing a portfolio of products.
Outcome: Through 9 months of advisory partnership, we established AI governance frameworks, trained product leaders, and provided strategic guidance on feature prioritization. The VP successfully led company-wide AI transformation while maintaining product velocity.
Result: AI-literate organization, clear governance, confident leadership
3–6 months
Personalized coaching to strengthen product leadership skills and decision-making in AI-first environments.
You'll walk away with:
Best for: product leaders scaling their impact or transitioning into AI product roles.
Schedule a coaching consultationInitial assessment
Identify your current challenges, career goals, and areas for growth
Personalized coaching plan
Create a custom development plan focused on your specific needs and context
Regular coaching sessions
Bi-weekly 1:1 sessions working through real scenarios, frameworks, and skill-building
Progress & reflection
Ongoing feedback and adjustments to ensure you're building sustainable skills
"A Senior Product Manager transitioning from traditional software to leading AI product initiatives"
Challenge: Strong product fundamentals but lacked confidence in AI-specific product decisions, stakeholder communication around AI risks/benefits, and building buy-in for experimental approaches.
Outcome: Over 4 months of coaching, we worked through real product scenarios, developed AI-specific frameworks for feature evaluation, and practiced stakeholder communication. The PM successfully led their first AI product launch and was promoted to Director of AI Products.
Result: Confident AI product leader, career advancement, successful product launch
Most AI consultants profit from recommending AI. We profit from helping you make the right decision—which sometimes means saying no.
When simpler solutions work better. When data doesn't support the AI use case. When the culture isn't ready. When the ROI doesn't pencil out. That honesty is worth more than a $500K engagement.
Every recommendation comes from talking to your stakeholders, understanding your constraints, and examining evidence—not from templates or playbooks. We combine user research with product strategy, not just technology.
We connect you with trusted implementation partners and ensure your team learns the frameworks and decision-making tools to keep improving after we're done. No dependency on us. That's the goal.
11 years at Disney, Twitter, and Microsoft shipping products to hundreds of millions of users. We know the difference between a prototype that demos well and a product that scales.
Share your vision and challenges
30-minute alignment discussion
Begin your partnership journey