Practical lessons from 25+ years of building, reviewing, stabilising, and scaling software across industries.
Written for founders and business leaders who need to make better decisions about software, teams, vendors, architecture, production, and AI.
This is not a formula for startup success. It is a practical guide to avoiding expensive and preventable technology mistakes.
Founders are often asked to make important technology decisions long before they have the experience, internal team, or independent advice required to evaluate them properly.
A proposal may look complete while excluding critical production requirements. A project may appear 80% finished while still being far from usable. A modern technology stack may sound impressive while being wrong for the business.
This guide brings together practical lessons from real projects, production systems, vendor discussions, architecture decisions, team building, delivery challenges, and technology recovery work.
For founders, business owners, and senior leaders who are making technology decisions without the luxury of getting them wrong.
Building a SaaS platform, marketplace, mobile product, or enterprise application.
Replacing spreadsheets, manual workflows, disconnected tools, or legacy systems.
Working with agencies, freelancers, vendors, or multiple implementation partners.
Evaluating assistants, document intelligence, copilots, or workflow automation.
Balancing speed, budget, technical debt, and future scale.
Dealing with delays, unstable releases, unclear ownership, or vendor dependence.
Six practical sections covering the decisions founders repeatedly face from first build through production and scale.
Start with the business problem, validate the workflow, decide what not to build, and understand what an MVP should mean.
Make architecture, cloud, build-versus-buy, integration, and AI decisions based on business needs rather than fashion.
Understand when you need a technical co-founder, CTO, agency, freelancer, internal team, or Fractional CTO.
Improve requirements, estimates, scope, review cycles, vendor management, and visibility into real progress.
Prepare for security, monitoring, operational ownership, technical debt, continuity, and sustainable scale.
Identify practical AI value, understand production constraints, prepare data, design human review, and know when not to use AI.
The Founder’s Guide is being published chapter by chapter, with one new practical chapter added every week.
Why “we need an app” or “we need AI” is not a sufficient requirement.
The difference between deliberately limited scope and careless engineering.
Coming Soon
How to choose the right technology leadership and delivery model.
Coming Soon
What founders should examine beyond presentations, rate cards, and technology lists.
Coming Soon
How unclear requirements, hidden dependencies, optimism, and change distort timelines.
Coming Soon
Why small requests, verbal changes, and unclear acceptance criteria quietly expand projects.
Coming Soon
Why a working feature is not the same as a production-ready system.
Coming Soon
How source code, credentials, documentation, vendor dependence, and handover affect survival.
Coming Soon
The integrations, ownership, guardrails, data, and operating model behind stalled pilots.
Coming Soon
When founders need experienced technology leadership without a full-time executive hire.
Coming Soon
A developer saying “it is technically possible” does not mean it is commercially sensible.
A project can be 90% coded and still be less than halfway ready for production.
Outsourcing development does not outsource accountability.
AI cannot repair a workflow that the business itself has not understood.
Naresh Sadasivan is a technology leader and adviser with more than 25 years of experience across software delivery, enterprise architecture, production operations, technical leadership, vendor oversight, team building, and business-technology alignment.
His work has involved enterprise platforms, cloud and on-premise systems, distributed operations, digital products, e-commerce, workflow modernisation, production stabilisation, and practical AI adoption.
The guide reflects lessons from the difficult decisions that happen after proposals are approved, prototypes are demonstrated, and software has to work in the real world.
Unicus provides senior technology advisory for founders and management teams dealing with architecture, delivery, vendors, production risk, hiring, and AI adoption.