I will do sdlc audit and unlock USD 300k to 1m in ai opportunities
About this Gig
I audit your complete delivery operations and identify exactly where AI can accelerate without breaking things.
Common Challenges I Solve:
Slow Deployments - 8-10 hour deployments taking weekends? I've cut these to 30 minutes (94% faster). Savings: $72K/year per company.
QA Bottlenecks - Manual testing eating 60% of cycle time? I've automated it to 20%. Result: 40% faster releases, zero quality loss.
Code Review Delays - 3-day review cycles blocking velocity? I've streamlined to 8 hours. Efficiency gain: 65%.
Knowledge Silos - Only 2 people understand critical systems? I extract tribal knowledge, document it, distribute it. Onboarding drops from 16 weeks to 4 weeks.
Technical Debt Compounding - 15% of time spent on rework instead of features? I quantify it, prioritize fixes by ROI, implement systematically.
My Approach:
I audit all 7 SDLC phases using a proven framework. I identify AI opportunities with clear ROI. I deliver actionable recommendations, not theory, not vague suggestions, but specific implementations with timelines and financial justification.
What You Receive:
Comprehensive audit report
AI opportunity analysis
Business case
90-day implementation roadmap
Calls + Q&A
Purpose:
Ideation
•
Strategy
AI engine:
Claude
Industry:
Business services & consulting
•
Software
My Portfolio
FAQ
How accurate are the cost savings estimates? Will we actually achieve them?
The savings estimates are based on: Real audit data from 48+ companies I've worked with Industry benchmarks for deployment time, QA cycles, code review delays Conservative calculations Your specific context If you follow the roadmap closely, you'll hit 90%+ of estimates Team commitment to succeed
Can you work with our existing tools (Jira, Azure DevOps, etc.) or do you need specific tools?
I work with ANY tools you have. The audit is framework-based, not tool-specific. I'll: Integrate with your existing tools Analyze data from your systems Recommend improvements within your current stack (or suggest alternatives if needed) Deliver recommendations that work with what you have
What if we already have some processes/documentation? Do we still need the full audit?
Yes, and here's why: If you have processes: The audit validates if they're working (often they're documented but not followed) Identifies where they break or have gaps Finds where AI can optimize them further If you have documentation: The audit checks if it's current, complete, and being used
What happens after the audit? Do you help implement the recommendations?
The audit deliverables are designed to be self-executable: Clear, step-by-step roadmap Prioritized by impact (do high-ROI items first) Week-by-week timeline Specific action items with owners Available as add-ons: 30-day implementation support Monthly check-ins Implementation guidance
How long does the audit take? Can you do it faster?
Why these timelines? Discovery call + questionnaire (3-5 days to gather context) Analysis + recommendations (5-10 days depending on complexity) Report creation + presentation deck (3-5 days) Review call + revisions (2-3 days)
What if we disagree with your recommendations?
During consultation calls: I walk you through the rationale for each recommendation You ask questions, challenge assumptions, share context We discuss trade-offs (faster deployment might require more infrastructure investment, etc.) We align on priorities, you decide which ones to pursue
What industries/company sizes do you work with?
Startups: 10-50 engineers (scaling challenges) Mid-size: 50-500 engineers (process clarity needed) Enterprise: 500+ engineers (complex, multi-team coordination) Industries: Financial Services (fintech, banking, insurance) Travel & Hospitality Healthcare & SaaS Enterprise Software IT Services

