Cut cycle times from 10 to 5-7 days, shipping value 2x faster.
Keep your A-players—turnover below 10%.
Double your innovation, 4-6+ features per quarter.
Achieve Product Market Fit with AI powered insights and engineering.
I specialize in supercharging engineering teams for startups and small to midsize companies.
I help businesses struggling with slow cycle times, high turnover, and low innovation rates achieve rapid product-market fit and sustainable growth. By deploying cutting-edge AI tools, refining architectures, overhauling engineering experiences, and fostering a culture of ownership, I deliver measurable results: doubling the rate of innovation (2 to 4-6 features/quarter), cutting cycle times by 30-50% (10 to 5-7 days) and slashing turnover below 10%.
My unique approach combines deep technical expertise with strategic business acumen, ensuring your team builds better products faster, retains top talent, and drives revenue growth.
As a fractional consultant, I bring 20+ years of VP Eng/CTO/Architect expertise to supercharge your engineering team with AI.
Improved rate of innovation and rapid cycles (5-7 days) mean faster feedback loops to test ideas and find demand.
I have scaled startups and teams with systems like EOS and AI tools like ChatGPT/Grok—your team gets a playbook that works.
Duration: 30 days
Price: Fixed Fee
Deliverables:
Best For: Startups and midsize companies seeking a low-risk way to assess and plan improvements.
Duration: 6 Months
Price: Fixed Monthly Fee
Deliverables:
Best For: Companies ready to implement AI and optimize processes for measurable gains.
Duration: 12 Months
Price: Contact for Pricing
Deliverables:
Best For: Companies committed to transformative growth and top-tier performance.
Objective: Establish a baseline, align with stakeholders, and set the stage for AI and PMF gains.
Assess current engineering processes, including cycle time, turnover, and tech stack, to establish a baseline (e.g., cycle time = 10 days, turnover = 20%).
Evaluate client needs, such as PMF status, revenue goals, and retention challenges, by interviewing client success, sales, and marketing teams.
Identify AI opportunities, such as replacing manual QA with AI agents or using Grok/ChatPGT/Gemini for code reviews, aligning with "AI first before human hire" approach.
Define metrics, core values, and OKRs, ensuring a single source of truth for tracking progress.
This phase establishes baselines for all KPIs (e.g., Cycle Time, Turnover Rate), enabling measurable progress in Phase 2.
Objective: Transform your engineering team into an AI-powered,
PMF-focused powerhouse, delivering measurable wins—faster cycles, stable talent, and soaring revenue.
Action: Deploy AI tools—Grok for code reviews, Replit/Copilot for scripting, and AI agents for QA automation—while training 20% of your team as AI champions through hands-on workshops.
Impact: Automates 50% of manual tasks like QA, accelerating your delivery process and freeing engineers for innovation.
KPI: Cuts Cycle Time by 20-25% (10 to 7-8 days) by Month 3; boosts Rate of Innovation with faster ideation cycles.
Action: Redesign your system to align with PMF goals—mapping outcomes like 99.9% uptime and 2x speed to budget and skills—while embedding AI across ingestion, compute, and CICD with self-healing features like auto-scaling.
Impact: Builds a lean, scalable architecture that minimizes downtime and lets your team focus on feature development over maintenance.
KPI: Reduces Cycle Time by an additional 10% (7-8 to 6-7 days) by Month 4; increases Revenue per FTE as output rises.
Action: Streamline workflows with pre-configured dev environments (e.g., Docker), a 20% tech debt refactor, 1-day CICD cycles via GitHub Actions, and AI-driven docs/tests (50%+ automated), while defining "Done" to ensure quality.
Impact: Enables engineers to ship faster with less stress, shifting their focus from maintenance to innovation.
KPI: Achieves a 30-50% Cycle Time reduction (10 to 5-7 days) by Month 6; increases Rate of Innovation to 3 features/quarter; lowers Turnover Rate to 15% (from 20%).
Action: Leverage the Idea Evaluator (People/Process/Tech, 80/20, Revenue/Risk) to score and test product ideas with AI insights (e.g., Grok ranks concepts), conducting 5-10 sales calls with client success to build a "hell yes" case study through 30-60-90 sprints.
Impact: Identifies true customer demand, eliminating guesswork and delivering products that resonate.
KPI: Boosts Client Retention Rate to 75-80% (from 70%) by Month 9; increases ARR by 10-20% ($2M to $2.2M-$2.4M); sustains Rate of Innovation at 3-4 features per quarter.
Action: Implement EOS (metrics, Level 10 meetings, OKRs) and Topgrading to hire/coach 1-2 A-players, while sharing my YouTube training content (e.g., "Systems Over Goals") and gamifying AI use with a "Prompt Leaderboard" to enhance engagement.
Impact: Aligns your team to a unified vision, boosting talent retention and fostering a strong sense of ownership.
KPI: Reduces Turnover Rate below 10% by Month 12; raises Revenue per FTE to $200k-$250k; achieves a Rate of Innovation of 4-6 features per quarter.
Action: Implement PMF-driven CICD with weekly releases tied to client feedback, prioritizing the top 20% of ideas (Idea Evaluator) for revenue impact, and integrating engineering with client success for real-time iteration.
Impact: Delivers products customers truly want, driving business growth and enhancing loyalty.
KPI: Increases ARR by 20-40% ($2M to $2.4M-$2.8M) by Month 12; lifts Client Retention Rate to 80-85%; achieves Revenue per FTE of $250k+.
