Start with the workflow, not the model
Map the trigger, inputs, decisions, outputs, exceptions and owner of the current process. Observe what people actually do rather than relying only on the official procedure. Hidden spreadsheets and manual checks often contain the real business logic.
Choose a workflow with sufficient volume, a visible cost of delay and outcomes that can be assessed. Rare, ambiguous processes are difficult places to prove value.
Decide what AI should do
Use deterministic automation for stable rules and AI for tasks that involve language, images, classification or flexible judgement. Combining both creates more reliable systems than asking one model to control every step.
Set boundaries. The system may draft, extract, recommend, route or execute. Each level has a different risk. High-impact actions may need approval even when upstream work is automated.
Build the business case
Measure current handling time, volume, error rates, waiting time and rework. Estimate the realistic percentage that can be automated and include software, integration, review and maintenance costs.
Value may appear as capacity, faster response, consistency or increased conversion, not only headcount reduction. Select one primary metric so the pilot can produce a clear decision.
Move from pilot to operation
Test with representative cases and intentionally difficult exceptions. Monitor completion, escalation, quality, latency and cost. Keep an audit trail when the workflow affects customers, money or compliance.
Wishmakers connects AI, automation and conventional software into production systems. The aim is a workflow that does useful work under real conditions, not a disconnected demonstration.
Build what comes next
Turn the idea into a working system.
Wishmakers designs, builds and operates AI-native products, software systems and digital ventures across Europe, Morocco and Brazil.
Frequently asked questions
What processes are best for AI automation?
High-volume, repetitive workflows with digital inputs, clear outputs and measurable quality are usually strong candidates.
Does AI workflow automation replace employees?
It more often changes how time is allocated. People may focus on exceptions, relationships and decisions while the system handles preparation and repetition.
How long should a pilot run?
Long enough to cover representative cases and operational variation. Define the evidence threshold before starting.