Technology Decisions That Affect Growth, Operations, and Enterprise Value
Practical insights on technical due diligence, operational transformation, software architecture, AI, and technology leadership.
The areas we work in
Start with the kind of decision or operating problem you are trying to understand.
Investment & Due Diligence
Technology risk, operating reality, and the evidence behind investment decisions.
Explore topicOperational Transformation
How critical business flows can be understood and improved before technology is added.
Explore topicArchitecture & Modernization
Practical choices for systems that need to become more reliable, maintainable, or ready to scale.
Explore topicAI & Automation
Where automation and AI fit, and where a simpler operating change is the better answer.
Explore topicTechnology Leadership
The leadership, decisions, and delivery conditions behind sustainable technical progress.
Explore topicA current perspective from Sharp Logica
Customer Onboarding Is Usually a Process Problem Before It Is a Software Problem
When onboarding is slow or inconsistent, a new platform can look like the obvious answer. The underlying problem is more often the way work, information, ownership, and exceptions move from the commercial handoff to customer value.
The $5M Tech Debt Problem I See in 70% of SaaS Companies
Unmanaged structural tech debt quietly reduces SaaS valuation by millions. Discover how architecture fragility, delivery instability, cost drift, and knowledge concentration create hidden acquisition risk.
The five million dollar problem rarely arises from incompetence.
What Private Equity Actually Cares About in Tech
Private Equity does not buy tech stacks. It buys predictable cash flow and controllable risk. Learn what investors examine during technical due diligence and how to protect valuation before an exit.
Discover how scalability, delivery discipline, cost structure, and organizational resilience shape the final deal terms.
The AI Agents Hype: Loud Claims, Quiet Reality
The hype says AI agents will replace developers. Reality is much quieter: value comes from workflow-first systems with bounded, auditable LLM steps.
This is how you avoid demo-driven engineering and ship systems that you can actually operate.
A CTO-level view, backed by DORA, METR, McKinsey, and Goldman Sachs.
HR Agencies: Evidence-Based Shortlists in Hours
Most clients think HR agencies just collect resumes and hit send. But agencies that deliver evidence-based shortlists, with clear reasons why each candidate fits, win more trust, faster decisions, and repeat business.
This blog shows how Screentico helps you move from resume-forwarding to real advisory work in hours, not days.
Fractional CTO: First 30-60-90 Days Breakdown
A practical breakdown of how a Fractional CTO uses the first 30, 60, and 90 days to assess your tech, stabilize delivery, and build a focused plan your team can actually execute.
It also shows what CEOs should expect to see at each milestone, from architecture maps and risk registers to hiring plans and a 3-6 month roadmap they can confidently take to the board.
The CTO Health Check: Know Where You Really Stand
Many CEOs have a vague unease about their technology but no clear, honest picture of where they stand. This blog explains what a 2–3 week CTO Health Check actually is: a focused, external review of architecture, security, performance, delivery, people, and vendors that surfaces real risks in plain business language.
It shows the kinds of findings that matter, how the process runs without disrupting your teams, and how to turn the output into a concrete 90 day action plan instead of a scary PDF that nobody uses.
Need a clearer view of a technology or operational problem?
Sharp Logica works with investors and operating companies on technical diligence, operational transformation, architecture, and technology leadership.
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