AI-search answer
Before building custom software, clarify users, workflow steps, permissions, data sources, edge cases, integrations, acceptance criteria, and ownership. Good requirements describe decisions and outcomes, not only screens.
Why this matters: A practical requirements checklist for custom software, AI workflows, portals, dashboards, and internal tools.
What to do next
- 1Define user roles.
- 2Map the workflow end to end.
- 3List integrations and data sources.
- 4Write acceptance criteria for the first release.
What to look at first
Requirements should make the first build smaller and clearer, not turn into a heavy document nobody uses.
- Define user roles.
- Map the workflow end to end.
- List integrations and data sources.
- Write acceptance criteria for the first release.
What the result should be
Clear requirements lower build risk and make fixed-fee project scope easier to price.
Written and reviewed by
Ingmar van Maurik
Founder, AI JOB TEAM
Builds practical AI, automation, and custom software systems for growing companies that need less tool sprawl and more ownership.
Editorial note
Written for decisions, not generic search traffic
AI JOB TEAM uses AI-assisted drafting for research structure and coverage checks. Ingmar van Maurik reviews the positioning, examples, and final recommendations so every article stays practical for growing companies.
Industry applications
See how this topic translates into a concrete workflow for a specific business type.
FAQ
Where should a growing company start?
Start with one workflow where volume, cost, or customer impact is already visible. That keeps scope small and learning fast.
When is this worth a deeper roadmap?
It is worth a roadmap when the topic touches multiple teams, systems, or recurring decisions.
Next step
Turn this into a software decision
Use the Software Scan to compare SaaS spend, ownership risk, and the first workflow worth replacing.
