Compliance programmes rarely fail because policies do not exist, they fail when employees cannot apply those policies consistently at the point of decision. That is the central argument put forward by MCO (MyComplianceOffice) in a newly published article aimed at helping compliance officers understand the practical case for always-on AI policy tools.
The RegTech firm highlights a challenge familiar to most compliance functions: a steady stream of routine questions flooding inboxes, inconsistent interpretations spreading across teams and geographies, and little evidence of what guidance was actually given when auditors come knocking. Add in trading operations and staff spread across time zones, and the problem becomes acute. A question about whether a gift needs disclosing, or whether a communication channel is approved for client instructions, cannot always wait until the next morning.
MCO’s AI Policy Assistant is the firm’s answer to this structural gap. Built into its single compliance platform, the tool draws on a firm’s own authoritative policies, procedures and approved FAQs to deliver plain-language answers to employee questions around the clock.
Rather than relying on informal channels, hallway conversations, ad hoc calls, messages that disappear, the assistant routes employees directly to the correct workflow, whether that is a pre-clearance submission, a disclosure form, or an escalation to a human compliance officer.
Critically, the tool generates a complete audit trail for every interaction, logging what was asked, when, by whom, and which underlying source material informed the answer. MCO argues this transforms policy guidance from an informal, hard-to-reconstruct activity into a measurable and testable control, one that can be surfaced directly to regulators, internal auditors and supervisory teams.
The firm built the product around what it calls responsible AI principles. Responses are grounded exclusively in approved internal content rather than open internet outputs, access is governed by role and jurisdiction, and low-confidence or high-risk queries are automatically escalated to human reviewers. MCO says recurring question patterns also serve as a diagnostic tool, flagging where policies may be unclear or where training content needs strengthening.
The guidance is part of MCO’s broader push into AI-driven compliance tooling, which the firm says is embedded into the compliance operating model rather than bolted on as a generic chatbot.
For more insights, read the full story here.
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