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A 10-step AI opportunity review for your business
For owners who are not sure where AI would actually pay off. It starts with the process that loses money — not with choosing a model.
Start with economics, not a model
The useful question is not “Which AI tool should we buy?” It is “Where does a repeatable process lose revenue, margin, time or customers — and which actions can be delegated safely?”
- Choose an outcome. Define one measurable result: faster response, fewer
missing documents, shorter cycle time or recovered opportunities.
- Find a recurring flow. List the enquiries, orders, invoices, documents,
tickets or decisions arriving every day.
- Trace one item end to end. Record every hand-off, system, wait and approval.
- Price the friction. Estimate volume, delay, error rate, labour and revenue
at risk. Mark assumptions clearly.
- Separate actions from decisions. AI can read, classify, extract, draft and
reconcile. Commitments, payments and unusual exceptions normally stay human.
- Identify sources of truth. Decide which CRM, ledger, contract or inbox is
authoritative when records disagree.
- Set permissions. Write three lists: autonomous actions, approval-required
actions and prohibited actions.
- Create evidence. Log the source, rule, action, timestamp and outcome. A sent
email is not a reply and a detected issue is not recovered cash.
- Run a narrow pilot. Use one workflow, a limited volume and a 30-day window.
- Scale only what works. Connect the next stage after the first outcome is
evidenced.
Your first-process worksheet
Write down:
- desired business outcome;
- incoming flow;
- process owner;
- three points of friction;
- baseline metric;
- actions an agent may take;
- decisions that remain human.
Next step
Evolvin can turn this worksheet into a first-process map covering the agent, integrations, controls and pilot metrics. The best starting point is a result you can verify within 30 days.
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Next step
We can run this review on your own numbers and show where the first agent pays off.
This material is a method, not a promise of a result. Any figure in your case is measured before and after — not assumed.