Getting agentic AI right in financial services means balancing innovation with the realities of compliance, risk, and auditability. This session cuts through the hype — exploring proven architectural patterns from reactive agents to multi-agent topologies, and how FSI organisations are using them to transform customer experience and automate operations. Leave with actionable guidance on building the business case, avoiding enterprise-scale pitfalls, and putting well-architected agents into production.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Patterns from reactive agents to multi-agent topologies. Compliance, risk, auditability balanced with innovation.
Why it matters
FSI has the highest scrutiny + the highest stakes. Patterns proven there generalise to other regulated industries.
The hard parts
Multi-agent topologies multiply audit complexity. Each agent's decisions need separate provenance.
Playbook moves
(1) Document agent boundaries explicitly. (2) Audit logs per agent, not just per system. (3) Make the human override path obvious in the architecture diagram.
The surprise
The architectural pattern most FSI organisations underuse is the *human-in-the-loop circuit breaker* — an explicit point where the agent stops and waits for approval, not just review. That's the auditable artefact regulators care about. Review-after-the-fact looks the same on paper but isn't.
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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