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Your API Is Not Ready for AI (Lifecycle Readiness Guide)
APIs built for humans often break when consumed by AI agents. Documentation meant for developers does not help large language models (LLMs) or autonomous systems that expect machine-readable contracts, predictable outputs, and safe retries. As AI adoption accelerates, APIs must evolve to be machine-discoverable, deterministic, idempotent, and lifecycle-managed.
This talk introduces a five-phase API readiness framework, from discovery to deprecation, that helps you systematically evolve APIs for safe and reliable AI consumption. You will learn how to assess your existing endpoints, score their readiness, and apply modern patterns like function/tool calling, schema validation, idempotency keys, and lifecycle controls such as Deprecation and Sunset headers. Real-world case studies from leading platforms will show what “agent-ready” APIs look like in production.
What You Will Learn
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How to assess your APIs for AI readiness using a structured scorecard
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Five phases to evolve APIs: Discovery → Redesign → Versioning → Monitoring → Deprecation
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Key practices: schema validation, idempotency, deterministic responses, and lifecycle guardrails
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Common failure modes when LLMs and agents consume APIs
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Practical security and governance measures aligned with OWASP LLM Top 10 and ISO/IEC 38507
Key Takeaways
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API Readiness Scorecard and modernization checklist
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Patterns for versioning, deprecation, and observability for AI-driven systems
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Security and prompt-injection guardrails for safe agent integration
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How to embed AI readiness audits into CI/CD governance
Who Should Attend
API architects, platform engineers, and software leads responsible for evolving existing APIs to support AI agents, automated workflows, and long-lived machine integrations.
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About the speaker
Rohit Bhardwaj
Director of Architecture, Expert in Cloud-native Solutions
Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.
As a trusted advisor, leader, and collaborator, Rohit applies problem resolution, analytical, and operational skills to all initiatives and develops strategic requirements and solution analysis through all stages of the project life cycle and product readiness to execution.
Rohit excels in designing scalable cloud microservice architectures using Spring Boot and Netflix OSS technologies using AWS and Google clouds. As a Security Ninja, Rohit looks for ways to resolve application security vulnerabilities using ethical hacking and threat modeling. Rohit is excited about architecting cloud technologies using Dockers, REDIS, NGINX, RightScale, RabbitMQ, Apigee, Azul Zing, Actuate BIRT reporting, Chef, Splunk, Rest-Assured, SoapUI, Dynatrace, and EnterpriseDB. In addition, Rohit has developed lambda architecture solutions using Apache Spark, Cassandra, and Camel for real-time analytics and integration projects.
Rohit has done MBA from Babson College in Corporate Entrepreneurship, Masters in Computer Science from Boston University and Harvard University. Rohit is a regular speaker at No Fluff Just Stuff, UberConf, RichWeb, GIDS, and other international conferences.
