Looking up at glass office towers in a financial district

Case Study · Financial Services

Faster, consistent expense approvals, with people still in charge

Leading Canadian financial services organization · AI-Assisted Expense Review

At a glance

Client snapshot

Industry
Financial Services
Region
Canada
Program
AI-Assisted Expense Review
Environment
Dynamics 365

The challenge

Invoice and receipt review was manual, inconsistent and time-consuming. Approvers had to validate every claim against compliance documents themselves before they could approve it.

80%
Faster approvals
AI Analysis and Recommendation
Each claim arrives with its data extracted and a recommendation written.
Auditable, with people in charge
Every recommendation is logged with its reasons, and the approver still decides.

The story

01 · Where they started

Every receipt checked by hand

Expense claims flowed through a Microsoft Dynamics 365 workflow, but the review itself was manual. Approvers read each invoice and receipt and checked it against compliance documents on their own.

Approver checking a paper receipt against a thick policy binder, with a pile of receipts on the desk

02 · What was at stake

Inconsistent decisions and compliance risk

Reviews took time, and different approvers could reach different decisions on similar claims. In a regulated financial services organization, that inconsistency is a compliance risk.

Two approvers reach opposite decisions on the same receipt while a compliance officer looks on

03 · What Taiga AI did

An AI review step inside the existing workflow

Taiga AI implemented an AI-assisted expense evaluation pipeline that intercepts the Dynamics 365 workflow, extracts structured and unstructured data from each claim, evaluates it with Copilot Studio grounded on the policies in SharePoint, and writes back a recommendation before routing the claim to the approver. Every decision is logged in Dataverse for audit.

Receipt data extracted, checked by an AI agent against policy, and passed as a recommendation to the approver, with every step logged

04 · What changed

AI does the checking, people make the call

Expense review is now faster, consistent, auditable and AI-augmented. It reduces manual effort while keeping human authority over every approval. The team is tracking improvements in approval accuracy, pipeline duration, retry count, agent decision reasons and compliance risk indicators.

Relaxed approver reviewing an AI recommendation on a laptop at a clear desk

Results in detail

Less manual effort

Each claim arrives at the approver with the data extracted and a recommendation already written.

Consistent and auditable

Every claim is evaluated against the same policies, with the agent's reasons logged in Dataverse.

Human authority kept

The AI recommends; the approver still makes every decision.

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