Insights
Practical writing on AI, software delivery, FinTech and digital transformation.
FinTech products live or die on their money path. Here is the architecture to plan first: the ledger, idempotency, consistency, compliance, and reconciliation, before you write a line of code.
Insights · 10 min readA software development RFP has one job: getting several vendors to price the same thing. Here are the sections that make proposals comparable and the mistakes that make them noise.
Insights · 10 min readDefine the MVP before you talk to developers and your quotes become comparable, your build gets shorter, and you stop paying for features nobody asked for.
Insights · 11 min readA real timeline comes from three things: the size of the build, the size of the team, and what you actually mean by done. Here is how to get an honest answer.
Insights · 9 min readA subscription SaaS is a billing engine with a product around it. Get the billing model, tenant model, and customer-facing parts right before launch.
Insights · 9 min readFinTech is not general software: money, regulation, and security change every question you ask. Filter on compliance and shipped products first.
Insights · 9 min readCustom ERP cost has no single number. The price is set by your modules, integrations, and data migration, so learn the drivers and phase the build before you ask for a quote.
Insights · 10 min readA SaaS product is a multi-year relationship, not a one-off build. Judge a development company on its named team, its live products, and its process, not on the lowest price.
Insights · 9 min readAn AI application is a normal application with one part that makes a decision a person used to make. The model is usually the cheapest piece. The data, scope, and evaluation are what decide whether it ships.
Insights · 10 min readIndia and China both produce strong engineers. The decision is less about code and more about communication, time zones, specialisation, and how the relationship feels after a year.
Insights · 8 min readMost AI automation talk is vague. The useful question is which of your processes a machine should run, and what it costs to get that working without a data science team.
Insights · 8 min readSAP, Odoo, or a system built for you. The real decision is how much you are willing to bend your processes to fit a product, and it shows up in cost per user over time.
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