Most organisations are not building on clean, modern stacks, they are layering agentic AI onto decades of legacy systems, fragmented data, and inconsistent APIs. While agents may work in isolation, the real challenge is integrating them into existing workflows, systems, and decision chains without breaking what already works. This case study explores what it actually takes to deploy agentic systems in real enterprise environments—where constraints, not capabilities, define success.
• Integrate agentic systems with legacy applications, data sources, and non-API environments
• Bridge gaps between modern AI frameworks and existing enterprise architecture
• Design workflows where agents operate alongside—not instead of—existing systems
• Overcome practical barriers to deployment, including security, access, and system constraints
• Move from isolated pilots to production-ready, integrated solutions
Check out the incredible speaker line-up to see who will be joining Lawrence.
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