Background
A national accounting firm had identified several high-volume, repetitive workflows that were strong candidates for AI-powered automation, including data extraction from financial statements, preliminary audit file preparation, and tax document processing. The firm’s operations leadership had begun piloting automation tools independently across two regional offices, with different tools being evaluated simultaneously and limited oversight from the central IT or security team.
Challenge
The decentralized approach had introduced significant inconsistency and risk. Sensitive client financial data, including personal tax information, corporate financials, and banking records, was being processed through automation tools that had not been security-assessed. In one case, a tool being piloted was found to be storing processed data on servers outside of Canada, creating potential compliance issues under provincial privacy legislation. The firm had no central inventory of the AI tools in use, no data handling standards for automated workflows, and no way to assess what had already been exposed.
Action
Armour Cybersecurity initiated the engagement with a discovery exercise, mapping all AI and automation tools currently in use or under evaluation across the firm’s offices. This produced the firm’s first AI asset inventory and revealed three tools with unacceptable data residency or retention practices, which were immediately suspended. Armour then worked with firm leadership to establish a secure automation standard, defining approved tools, data handling requirements, encryption standards, and vendor assessment criteria. A centralized intake process was built so that any future automation request would go through a security review before deployment. The two offices already running pilots were migrated onto approved, properly configured platforms.
Impact
- Full AI tool inventory created across all offices for the first time
- Three non-compliant tools identified and removed from use
- Secure automation standard implemented firm-wide within 45 days
- Approved automation workflows now processing over 2,000 documents per month
- Estimated 25% reduction in manual processing time across targeted workflows
- No further unvetted tool deployments since the intake process was introduced
Conclusion
The firm’s decentralized approach to AI adoption had created risk that leadership wasn’t fully aware of until Armour mapped it. By pausing, assessing, and rebuilding on a secure foundation, the firm was able to move faster, not slower, with automation, because staff now had a clear, pre-approved path to adopting new tools without creating compliance exposure.