“We need AI” often turns into a rewrite proposal. That is usually the wrong first move. Most businesses get better ROI by adding AI to one painful workflow inside software they already use.
Pick the workflow, not the model
Good candidates:
- search across internal documents,
- draft generation from structured forms,
- classification and routing of tickets or leads,
- extraction from PDFs and emails into your system of record.
Bad first candidates:
- fully autonomous agents with no human review on high-stakes decisions,
- “chat with everything” without permissions design.
Technical prerequisites (business language)
- Clean enough data access for the use case.
- Clear ownership of where prompts, logs, and outputs live.
- A staging environment to evaluate quality before production.
Incremental delivery pattern
- Manual-assist feature (human reviews AI output).
- Measure quality and time saved.
- Automate only the steps that prove reliable.
ConaiSoft adds AI capabilities onto real product architecture in weekly sprints — so you get value without a risky full rewrite.