We're looking at Salesforce — but maybe our case is focused enough that we should build the core ourselves. That trade-off is the starting point.
20 / 80 — often the other way around
Instead of buying 80% platform and adapting 20%, often the reverse: buy little with
intent, build the core yourself — because AI-native delivery brings custom solutions
back in reach. Whether the economics fit your case is what we clarify in conversation.
Off-the-shelf never quite fits. A large suite solves a lot — and leaves open exactly the
workflow that is your competitive edge. Custom development looked too expensive for years.
The question today: can we build exactly what makes the difference — without tipping into
a classic megaproject?
Possible today.
Two typical cases for custom solutions — the path there is a typical approach, not a fixed sequence.
Solve a problem
Small tools that remove concrete friction.
“Two systems that don't talk to each other — data kept twice, handovers by hand.”
Targeted mini-apps: e.g. address matching between sales and accounting, or turning an opportunity into an invoice automatically.
AI is changing not just software, but how software gets built. What once required large
budgets and long timelines can now be built for your specific business context — often
faster and more economically than over-fitting an oversized platform.
What matters isn't collecting as many AI ideas as possible. What matters is recognizing
the use case that actually changes something — then honestly checking: buy, adapt, or
build.
What happens here.
A senior solution lead owns the outcome. Specialized agents and AI developers accelerate
research, build and review — quality decisions and the client relationship stay human.
One accountable lead
From first conversation to solution.
Specialized AI agents
Traceable, reviewable groundwork.
AI developers
Build and review AI-native, gate human.
Expert network
Specialist knowledge without a consulting pyramid.