AI Regulatory Readiness
The global AI rulebook is arriving fast. This session turns it into a clear, prioritised plan for your firm — in any market you operate.
New AI rules are arriving across the markets most firms operate in, and they don’t all say the same thing. Compliance, legal and risk leaders need to know which rules actually apply to their AI use and have a plan in place before those rules bite. This session turns a moving, multi-country rulebook into a clear, prioritised roadmap for your firm.
Compliance, legal, risk and strategy leaders preparing for new AI rules.
Map the AI rules coming at your firm and build a practical plan to be ready before they bite.
The regulatory wave is concrete, not hypothetical: the EU AI Act sets binding obligations on higher-risk AI systems with staged deadlines, financial regulators are formalising AI risk-management expectations for the firms they supervise, and model-risk and AML supervision already reach AI today. Firms that wait until a rule is in force will be doing the inventory and gap work under time pressure rather than ahead of it.
- Map which AI rules actually apply to your firm's AI use across the markets you operate in
- Read across different regimes without drowning in legal detail
- Gap-check your current AI use against new expectations and see where you fall short
- Build an AI inventory and risk-tier each system, the foundation most new rules assume
- Turn all of it into a prioritised readiness roadmap with named owners and real dates
- Leave with a readiness plan tailored to your business and markets
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The AI rules landscape: what's here, what's coming, what matters to you
- What's already in force versus what's on the way
- The EU AI Act and its risk-based tiers and staged deadlines, in plain terms
- How model-risk and AML supervision already reach AI today
- Sorting the rules that genuinely apply to your firm from the rest
- Why waiting until a rule bites means doing the work under pressure
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Reading across regimes without drowning in legal detail
- Common themes that run through most AI regimes: inventory, risk-tiering, oversight, documentation
- Comparing obligations across regimes without re-reading every law
- Spotting where one set of controls satisfies several rules at once
- Translating legal text into things your team can actually do
- Keeping track of change without a full-time legal habit
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Gap-checking your current AI use against new expectations
- A method to compare what you do now against what the rules expect
- Finding the gaps in governance, documentation and oversight
- Prioritising gaps by risk and by regulatory deadline
- Distinguishing quick fixes from larger programmes of work
- Capturing the gap analysis in a form leadership can act on
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Building an AI inventory and risk-tiering your systems
- Discovering all the AI in use, including tools no one formally logged
- Recording what each system does and who it affects
- Risk-tiering systems the way new rules expect (for example, high-risk categories)
- Why the inventory is the foundation most regulations assume you have
- Keeping the inventory current as AI use grows
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A practical readiness roadmap with owners and dates
- Turning gaps into a sequenced roadmap, not a list of worries
- Assigning named owners and realistic dates to each action
- Sequencing work against staged regulatory deadlines
- Building in checkpoints and reporting to leadership
- Making the roadmap something the firm will actually follow
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A readiness plan tailored to your business
- Shaping the plan around your firm's AI footprint and markets
- Accounting for the specific regimes you fall under
- Connecting the plan to existing governance and risk processes
- Setting how progress will be tracked and reviewed
- Leaving with a plan ready to take to leadership and the board
Bring "AI Regulatory Readiness" to your team.
A short conversation about your team, your risk, and the session that would move them. No pitch deck — just the right scope and dates.
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