> ## Documentation Index
> Fetch the complete documentation index at: https://irisdocs.prescientlabs.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Spotting Opportunities

> Recognise patterns in real workflows that indicate process, automation, integration or AI opportunities.

Use patterns in the current-state workflow to generate candidate opportunities.

## High-signal patterns

### Repetitive manual transfer

People copy information between email, spreadsheets, CRM or ERP systems.

**Consider:** integration, structured intake, rules-based automation.

### High-volume drafting

Staff repeatedly produce similar emails, reports, proposals or summaries from known information.

**Consider:** AI-assisted drafting with review.

### Knowledge search

People spend time finding answers across documents, policies or historical cases.

**Consider:** improved knowledge management or retrieval-augmented assistance.

### Triage and classification

Teams manually sort requests, tickets, documents or transactions.

**Consider:** deterministic routing, ML/LLM classification or hybrid rules.

### Rework and corrections

The same work returns because required information is missing or quality checks happen too late.

**Consider:** redesign the intake and validation process before automating downstream work.

### Bottlenecked decisions

Work waits for a small number of people to interpret information or approve routine cases.

**Consider:** decision support, clearer rules, delegated authority or automated low-risk pathways.

## Ask five questions for every candidate

1. What business problem does this solve?
2. What evidence shows the problem exists?
3. What intervention is simplest?
4. What data, systems and human controls are required?
5. How would the client know it worked?

<Warning>
  Do not confuse “AI can do this” with “the client should invest in doing this with AI.” Technical feasibility is only one part of the decision.
</Warning>