Build a web or mobile product, connect business systems, or replace repetitive manual work. Start with the process, its users and the cost of errors, then decide whether custom software, an existing tool or a focused automation is appropriate.
This path is for a web or mobile product, an internal system, connected data or a repetitive workflow. If the main gap is people to deliver an existing backlog, explore the dedicated-team model instead.
Map the process and its exceptions before choosing a tool. Consider existing software first. For AI-assisted automation, identify sensitive data, human review and error tolerance; use AI only where it helps the task.
Agree one workflow, its users, source systems and acceptance checks. Include integrations, data migration, access controls, testing and rollback assumptions in the estimate. Modernization can be staged, but disruption-free migration is not a promise.
Your process owner defines business rules and approves the result. Our agreed scope can cover analysis, design, development, testing and deployment. Confirm account access, code ownership, handover, monitoring and support responsibilities before release.
Recruiters were manually formatting CVs. The published case describes a custom conversion tool with data storage, statistics and export. It reports a reduction from up to two hours to two minutes per CV for that project, not a universal savings benchmark.
See the Hays workflow and reported resultRead why an early estimate should expose its assumptions before it becomes a delivery commitment. Integration access, data quality and operational constraints can change the scope.
Describe the problem and initial scope in the project estimate form. Any estimate needs review against your systems, constraints and acceptance criteria.