Free Tool
AI Use-Case Finder
Answer a few quick questions about your business and get your top AI opportunities — ranked by impact and effort, with a clear place to start.
- A few quick questions
- Ranked by impact and effort
- A clear place to start
Impact vs effort
We only store your result if you email it to yourself. No spam.
Where AI actually earns its place
Measurable gains cluster in work that has a clear right answer and an easy way to verify it. They drop off sharply in open-ended judgement work.
That single observation rules out most of what gets proposed in AI workshops — and it is the filter this tool applies.
The shape of a use case that works
Not an industry and not a department. A shape: high volume, a clear finish line, and a human who can spot a mistake quickly.
- Works: classification and routing, extraction from documents, drafting from a template, summarising for triage, first-pass qualification.
- Does not: strategic judgement, anything requiring accountability, novel creative direction, decisions with legal consequence.
- The dividing line is whether being wrong is cheap and obvious, or expensive and unverifiable.
The five that pay back fastest
All five share the same shape, which is why they keep appearing regardless of industry.
- Lead qualification — classify, score and route incoming enquiries. Support triage — categorise, draft a reply, escalate the hard ones.
- Document extraction — pull structured data out of forms and invoices.
- Recurring reporting and data synchronisation — collect, summarise and keep records consistent on a schedule.
How to choose between them
Not by which is most impressive. By which is most obviously wasteful today — impressive is not a criterion.
- Does it happen often enough to matter? That is volume.
- Can you describe the steps without saying “it depends”? That is definition.
- Will you be able to tell whether it improved? That is measurement. If any answer is no, pick a different process.
- 1Often enough to matter?Volume.
- 2Describable without "it depends"?Definition.
- 3Can you tell it improved?Measurement.
Before you build anything
Record how long the process takes today. Without a baseline you cannot prove improvement — and without proof there is no budget for a second project, however well the first one goes.
- It is the cheapest step in the exercise and the one most often skipped.
- The finder surfaces candidates; the choosing is a judgement about your own operation that no tool can make for you.
- Start with one. A single measured win is worth more than ten ideas on a list.
- 1Record today's timeBefore anything changes.
- 2Check readinessData, process, governance.
- 3Build one use caseThe one you picked.
- 4Prove the paybackBaseline against after.
Four numbers worth keeping
Why Parix.ai gives this away
We build these use cases for a living, and the ones that fail were usually chosen because they sounded advanced rather than because they were wasteful. This is the filter we apply before quoting — which is why there is no paywall.
Find my use caseWhat the finder can tell you
It points at likely wins based on what commonly works for businesses like yours. It cannot see your systems, so whether a use case is easy depends on your data and tools — and value depends entirely on volume.
Check before you build
The AI Readiness Assessment checks whether your data, process and governance can support the use case you picked, the Automation ROI Calculator turns it into a payback period, and the Workflow Mapper gets the steps written down.
When you have picked one
Our automation team builds it — starting with the most obviously wasteful process rather than the most advanced-sounding one.
Prioritise
How to choose between your AI use cases
Plot each idea by value and effort. Start in the top-left.
Quick wins
High value, low effort. Start here.
Big bets
High value, high effort. Plan these next.
Fill-ins
Low value, low effort. Do them when there’s slack.
Avoid for now
Low value, high effort. Park them.
By department
Common first AI use cases across a business
Most businesses find their first win in one of these areas.
Sales
Lead scoring, follow-up drafts and CRM notes from calls.
Support
Answering common questions and routing the rest to the right person.
Operations
Data entry, document processing and status updates.
Finance
Invoice extraction, expense categorisation and reconciliation checks.
Marketing
First drafts, repurposing content and reporting summaries.
HR
Screening questions, onboarding checklists and policy answers.
From idea to pilot
How to test a use case in four weeks
Small, measured and reversible — so you learn fast either way.
Week 1 — Measure today
Time the process as it runs now. That is your baseline.
Week 2 — Build the smallest version
One workflow, one team, with a human checking outputs.
Week 3 — Run it for real
Use live work, and log every time it gets something wrong.
Week 4 — Decide
Compare against the baseline: expand, adjust or stop.
Being straight with you
What the finder can and can’t tell you
It points you at likely wins. Your data decides which are real.
- Suggestions are patterns, not a diagnosis. They reflect what commonly works for businesses like yours.
- It can’t see your systems. Whether a use case is easy depends on your data and tools.
- Value depends on volume. A use case only pays off if the task happens often enough.
- Start with one. A single measured win is worth more than ten ideas on a list.