From AI Demos to Defensible Decisions
AI agents rarely fail with a visible outage. They can return 200 responses while acting on stale evidence, retrying into duplicate side effects, using an unauthorized tool, or making a customer commitment the organization cannot later defend.
This hands-on session shows how to architect for that reality.
Rather than beginning with a model, prompt, or orchestration framework, participants start with the system’s promise: what is it allowed to attempt, what is it allowed to claim, and where does the platform stop trying and start owing?
Using a live AI-commerce scenario, we will design an agent that must answer a customer, evaluate a return, and potentially issue a refund. Then we will introduce realistic pressure: conflicting policy versions, stale inventory, ambiguous payment status, weak evidence, and a runaway tool-call loop.
Participants will use five practical artifacts from the companion lab: a Liability Boundary Map, Admissibility and Freshness Contract, Churn Budget, Stop Authority Ladder, and Decision Replay Card. The session closes by showing how the system can remain useful while safely deferring, freezing liability actions, or escalating to human review.
Attendees leave with a repeatable method for building AI systems that can act, stop, explain, and be trusted.
Learning outcomes:
- Identify the commitment boundary before designing components.
- Define evidence, authority, freshness, and policy required for AI action.
- Bound retries, fan-out, tool calls, latency, and cost.
- Design capability-scoped stop and re-enable controls.
- Create replayable proof for consequential AI decisions.
About Rohit Bhardwaj
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.
Rohit loves to connect on http://www.productivecloudinnovation.com.
http://linkedin.com/in/rohit-bhardwaj-cloud or using Twitter at rbhardwaj1.