ABB Optical Group Streamlines Compliance Audits by 60%

ABB Optical wasn’t dealing with a lack of process but with too many of them. Audits, assessments, and controls lived across multiple systems, with no single source of truth tying them together. Evidence collection meant digging through SharePoint, coordinating with control owners, and manually tracking what had been submitted versus what was still outstanding.
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The complexity wasn’t just in the tooling, it was in the environment. Many of the people responsible for controls worked in operational roles without constant system access. That made traditional back-and-forth workflows slow and inconsistent.
At the same time, audit expectations weren’t slowing down. External auditors needed structured, complete documentation. Internal stakeholders needed visibility. And Director of Compliance, Lisa Norris needed to ensure nothing slipped across HIPAA, SOC 2, ISO, and a growing list of regulatory obligations.
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The real constraint wasn’t knowledge or effort. It was time. Hundreds of hours were going into manual updates, audit prep, and evidence handling, all carried by one person.

ABB moved audits, controls, and assessments into Complyance, not as a lift-and-shift, but as a consolidation. One platform where everything lives, updates, and connects.

Controls are now centralized and mapped across frameworks, so Lisa isn’t duplicating work for each audit. Evidence collection happens directly within the platform, with control owners uploading what’s needed without Lisa having to chase it down across systems.
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Complyance AI supports the heavy lift behind the scenes: reviewing evidence, helping validate completeness, and streamlining annual updates that previously required manual review cycles. Instead of rechecking everything from scratch each year, Lisa works from a system that already understands what “good” looks like.
Configuration was critical.

ABB’s compliance environment isn’t one-size-fits-all, and Lisa needed the flexibility to tailor audits, controls, and workflows to match real operational conditions: including teams that aren’t always desk-based. The platform adapts to that reality rather than forcing rigid process changes.