How to Identify AI Opportunities in Your Business

Many businesses know they should be doing more with artificial intelligence (AI). The difficult question is not what AI can do. It is where AI could actually create meaningful business value. Identifying those opportunities starts with understanding the problems, processes and decisions that matter most to the organisation.

The answer rarely starts with choosing an AI tool. It starts with understanding how the business works today: where people spend time, where information gets stuck, where customers or employees experience friction, and where repetitive work consumes capacity.

What Is an AI Opportunity?

An AI opportunity is a business problem or process where AI could potentially create measurable value by improving how information is processed, decisions are supported, work is performed, or customers and employees are served.

An opportunity is not automatically an AI project. You still need to determine whether AI is technically suitable, economically worthwhile, sufficiently reliable, and appropriate for the level of risk involved.

Where Should You Look for AI Opportunities?

Start by looking for signals of friction rather than starting with a particular AI technology.

Repetitive manual work

Look for situations where people repeatedly copy information, read documents, categorise requests, prepare reports, write similar responses, or move data between systems.

High-volume information processing

Employees may spend significant time reviewing emails, applications, documents, forms, customer requests, reports, or records.

Unstructured information

Emails, PDFs, contracts, notes, conversations and other unstructured information can be areas where AI may provide useful capabilities.

Customer and employee enquiries

Repeated questions can create opportunities to improve information access, response speed, self-service and productivity.

Start With the Process, Not the Technology

One of the easiest mistakes is starting with a technology: "We should use an AI agent."

Instead ask: "What happens today?"

• What happens today?
• Who performs the work?
• What information enters the process?
• What decisions are made?
• Which systems are involved?
• Where do exceptions occur?
• What happens at the end?

The DEEPS AI Opportunity Framework

At DEEPS, we use a sequence of questions to move from a business problem toward a technology decision. This reflects the wider DEEPS approach to solving business problems before selecting a technology.

Is AI Actually the Right Solution?

A good opportunity assessment can produce an answer that isn't what you initially expected.

The best solution might be traditional automation, an AI-assisted workflow, an AI agent, integration, process redesign, better software, or no change at all.

If the opportunity requires a broader strategic assessment, DEEPS AI Strategy can help evaluate where AI could create value and how potential use cases should be prioritised.

If the opportunity involves repetitive or inefficient work, DEEPS AI Process Analysis & Automation explores how suitable processes can be redesigned and automated.

What Makes an AI Opportunity Worth Pursuing?

Consider the business problem, scale, measurable outcome, technical feasibility, risk and implementation effort.

What Are Not Good AI Opportunities?

• A broken process that needs redesign first.
• A problem that barely occurs.
• High-risk judgement without appropriate controls.
• Technology chosen simply because competitors use it.
• A project with no measurable outcome.

How to Turn an Opportunity Into a Business Case

Consider whether the opportunity could improve time, cost, capacity, speed, quality, customer experience or revenue.

If you already have a process or business problem in mind, you can use the DEEPS AI Opportunity Finder to create a structured starting point for further discussion.

The DEEPS Perspective

At DEEPS, we don't believe the goal is to put AI into every part of a business.

The goal is to identify where technology can create real, measurable business value.