Architecture Audit
Production-readiness assessment for software platforms and AI features. Cost exposure, failure handling, observability, board-ready report.
10 working days · $15,000 flat
Learn moreFour productized engagements built around real situations: shipping AI features that have to survive production, delivery friction blocking the value-creation plan, software diligence under deal-team pressure, and portfolio companies between CTOs.
Productized, time-boxed, senior-led. Capacity limited by design.
Each engagement is built around a specific situation: assessing a platform's production readiness, recovering a stalled architecture, evaluating a software investment, or providing ongoing technology leadership without a full-time hire.
Production-readiness assessment for software platforms and AI features. Cost exposure, failure handling, observability, board-ready report.
10 working days · $15,000 flat
Learn moreHands-on architectural intervention for systems that are slow, fragile, or stuck. Diagnosis, stabilization plan, baseline.
4-8 weeks · $25,000-$50,000
Learn moreIndependent senior technical assessment for PE and VC deal teams. Pre-close, post-close baseline, or pre-exit readiness.
2-3 weeks · $18,000-$25,000 · Rush available
Learn moreOngoing senior technology leadership on a fractional basis. Three tiers, 3-month minimum, portfolio-CTO-in-residence available.
3-month minimum · from $8,000/month
Learn moreRecommendations are sized for the organization that exists, not the one in a deck. Over-engineering shows up later as cost, complexity, and the meetings nobody wants to be in.
Every technology recommendation has to map to a business metric: scalability, cost trajectory, integration risk, time to value. If it cannot survive a board meeting, it does not get made.
Engagements are led by senior architects who have run enterprise software at scale. The judgment behind every recommendation comes from running production systems, not from running consulting engagements.
Patterns from real engagements - architecture, AI in production,
technology decisions that scale.
COBOL modernization is not simply about rewriting old code. For payment processors, the real challenge is understanding business rules, batch flows,...
Read articleReviewing one RFP is manageable. Reviewing the original RFP, multiple amendments, clarifications, and bid documents together is where manual...
Read articleEngineering chaos is rarely a talent problem. It is a structural one. Learn how to restore delivery predictability, reduce volatility, and rebuild...
Read articleSenior engineering work compounds. A handful of recurring themes show up across audits, rescues, and diligence engagements.
Pattern 01
The gap appears in month four, when usage is real, costs are real, and the failure modes that did not surface in testing become customer-facing problems. Production AI is an operations problem dressed as a product problem.
Pattern 02
When delivery cadence degrades, the answer is usually inside the codebase but the cause is usually in the meeting room. Architecture rescue work spends as much time on decision authority as it does on the system itself.
Pattern 03
In diligence, the gap between how the seller describes the platform and how it actually behaves under stress is the single most consistent valuation risk. The numbers usually look right. The system underneath usually does not.
Pattern 04
Vendor commitments, platform choices, and integration constraints get locked in during commercial discussions. By the time engineering sees them, the room for redesign has already closed.
Every engagement begins with a 30-minute Triage Call. No preparation required. By the end of the call, you'll have a clear read on whether Sharp Logica fits the situation - and two or three specific risks or opportunities identified directly from the conversation.
Or reach us at: info@sharplogica.com