Filip Szalewicz

Supercharge Your Software Engineering Team to Accelerate Value with AI

As a fractional consultant, I bring 20+ years of VP Eng/CTO/Architect expertise to supercharge your engineering team with AI.

Questions or to Schedule a Session: info@solidcage.com

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Why Work with Me

Software Engineering with AI at the Core

Phase 1

Learn and Analyze (30-60 Days)

Objective:
 Establish a baseline, align with stakeholders, and set the stage for AI and PMF gains.

Duration: 30-60 days, depending on client complexity.

Parallel Workstreams:
1. Client-Facing Discovery
2. Engineering Deep Dive

Deliverable by Day 60: A unified "Kickoff Deck" combining both reports, presented to leadership with initial AI tooling and PMF recommendations.

Phase 2

Implementation (6-12 Months)

Objective: Deploy AI tools, refine processes, and accelerate Product Market Fit with iterative wins.
Duration: 6-12 months, with weekly and monthly progress reviews.

Activity Sequence:
1. AI Tooling Adoption (Months 1-3)
2. Architecture Refinement (Months 2-4)
3. Engineering Experience Overhaul (Months 3-6)
4. PMF Acceleration - Idea Evaluator (Months 4-9)
5. Cultural Shift: Owner’s Mindset (Months 6-12)
6. Continuous Delivery (Months 6-12)

Reporting: Dashboards to management with KPIs, qualitative wins and next steps. 

Outcomes

Continous KPIs

1. Rate of Innovation: Double Your Innovation: 2 to 4-6 Features per Quarter

2. Cycle Time: Cut Cycle Time 30-50%: 10 Days to 5-7 Days

3. Turnover Rate: Slash Turnover Below 10%

How It Gets Done

Phase 1

Objective: Establish a baseline, align with stakeholders, and set the stage for AI and PMF gains.

Assess & Evaluate

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 & Define

Identify AI opportunities, such as replacing manual QA with AI agents or using Grok for code reviews, aligning with your "AI first before human hire" approach.

Define metrics, core values, and OKRs, ensuring a single source of truth for tracking progress.

Outcome

This phase establishes baselines for all KPIs (e.g., Cycle Time, Turnover Rate), enabling measurable progress in Phase 2.

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Phase 2

Objective: Transform your engineering team into an AI-powered, 
PMF-focused powerhouse,  delivering measurable wins—faster cycles, stable talent, and soaring revenue.

AI Tooling Adoption 
(1-3 Months)

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.

Architecture Refinement 
(2-4 Months)

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.

Engineering Experience Overhaul (3-6 Months)

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%).

PMF Acceleration via Idea Evaluator 
(6-12 Months)

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.

Cultural Shift: Owner’s Mindset 
(6-12 Months)

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.

Continuous Delivery & Revenue Focus 
(6-12 Months)

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+.

What You Get

  • Retain Top Talent with Stable, Innovative Teams
  • Drive Product Innovation for Peak Valuation
  • Cut Risk and Optimize Operations Fast
  • Accelerate Product Market Fit

About Me

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