StarCompliance launches AI compliance webinar series as firms weigh governance and workload impacts

StarCompliance has kicked off a three-part 2026 Global Compliance Benchmark Study webinar series with a session focused on how AI is changing compliance operations. The discussion highlighted governance, literacy, market-abuse research, and evidence that AI can both reduce manual effort and add new workload.

Why it matters: - Financial firms are moving from experimenting with AI to managing its day-to-day compliance risks, controls, and costs. - The session showed that AI can speed up compliance work, but it can also create new oversight demands and workload pressure. - Firms also need to protect material non-public information and customer data as AI use expands.

What happened: - StarCompliance published key takeaways from AI in Compliance: From Potential to Operational Impact, the first session in its three-part 2026 Global Compliance Benchmark Study Webinar Series. - Melissa Macatuno, executive director of product marketing at StarCompliance, hosted the session. - Panelists included Kelvin Dickenson, chief product officer at StarCompliance; Gabby Byrne, strategic compliance lead at NatWest; and Rich Konefal, chief compliance officer at Raymond James Financial. - The webinar series builds on StarCompliance’s inaugural Global Compliance Benchmark Study. - The study identified accelerating AI adoption, growing concerns around digital assets and prediction markets, and increasing pressure to modernize surveillance and information barrier programs.

The details: - The compliance conversation has shifted from whether employees should have AI access to how that access should be governed. - Firms increasingly need visibility into who uses AI, which tools and models they can access, how they use them, and what that use costs. - AI literacy is becoming a core compliance skill because AI output still requires human evaluation. - Compliance professionals need to provide context, spot inaccuracies, and know when human expertise is still required. - Information gathering was highlighted as one of the clearest opportunities for AI in compliance. - A market-abuse alert investigation may require historical trading activity, sector patterns, previous transactions, and event context. - AI can increasingly assemble that information in minutes, leaving analysts more time to assess risk. - Humans remain in the decision-making process. - StarCompliance’s Benchmark Study found that 23% of respondents reported reduced manual effort from AI. - The same study found that 26% of respondents said workloads had increased. - Faster reporting can generate demand for more reporting. - Firms should measure AI’s impact beyond time saved and include workload, employee experience, and changing skill requirements. - AI tools have made it easier for firms to build internal applications and automate individual workflows. - The session distinguished between solving a defined internal problem and developing technology that must operate reliably at scale. - Complex compliance systems need ongoing maintenance, integrations, data, and regulatory knowledge after the initial build. - For firms early in their AI journey, StarCompliance recommends starting with a specific operational problem. - Examples include a repetitive process that takes hours or a workflow dominated by information gathering. - Firms can test how AI helps and expand into additional use cases from there. - Compliance professionals can read the full recap in StarCompliance’s Putting AI to Work in Compliance webinar recap or watch AI in Compliance: From Potential to Operational Impact on demand.

Between the lines: - The findings suggest AI is becoming less of a novelty and more of an operating issue for compliance teams. - The workload split in the benchmark study points to an important tradeoff: automation can reduce manual effort, but better throughput can also increase expectations and volume. - The emphasis on governance and maintenance signals that AI adoption in compliance is now as much about control structures as it is about productivity.

What's next: - StarCompliance will continue the 2026 Global Compliance Benchmark Study Webinar Series with two additional sessions. - Firms looking to adopt AI in compliance are being nudged toward narrow, measurable use cases before broader rollout. - The benchmark study’s themes suggest more attention on surveillance modernization, digital assets, and AI governance across the year.

The bottom line: - AI is becoming a practical compliance tool, but the firms that benefit most will be the ones that pair automation with governance, measurement, and sustained oversight.