Agentic AI Feasibility Case Study for a Leading Canadian Bank

Overview

A leading Canadian bank approached Digital is Simple to explore whether Agentic AI could be integrated into their existing operations. Our AI consulting services team conducted a feasibility study to assess the opportunities and risks. The core question was could Agentic AI simplify internal operations, reduce fraud risk, cut through excessive paperwork, support the help desk, or improve other processes, without compromising service quality or brand reputation?

Industry

Finance

Services

AI Consulting Services

1
Understanding the Business

We mapped the bank’s day-to-day operations and gained a clear understanding of the workflows and standard operating procedures already in place.

2
Identifying Scope for Improvement

We analysed which processes were strong candidates for Agentic AI implementation.

3
Analysing Risk and Outcomes

For each identified opportunity, we assessed associated risks, regulatory implications, and projected outcomes.

4
Presenting the Feasibility Study Findings

We mapped the bank’s day-to-day operations and gained a clear understanding of the workflows and standard operating procedures already in place.

Problems Our Client Faced

  • Excessive time spent on administrative tasks
  • Thousands of internal procedures and guidelines slowing down operations
  • Too many resources tied up in internal processes

Our Role

  • Assessed the feasibility of Agentic AI within a regulated financial institution
  • Identified short-term and long-term areas where AI could be responsibly deployed
  • Evaluated potential attack vectors and security risks introduced by AI integration

Project Challenges

Reluctance to Change

Not all employees were receptive during our preliminary research. We navigated this by listening first and ensuring staff felt heard before introducing new ideas.

Scepticism Towards AI

The client was unsure whether AI was worth the investment. A key part of our role was cutting through the hype and presenting a clear, evidence-based picture of what AI can realistically deliver.

Identifying the Right Starting Point

We focused on low-risk, high-value entry points, quick wins that would let the client build confidence in the technology before committing to larger initiatives.

Results We Saw

  • Identified high-ROI use cases
  • The bank committed to developing 3 new AI-powered projects
  • The client gained clear, actionable visibility into where AI could add value to their operations