Explore how AI agents can transform go-to-market operations by creating a connected, continuously improving GTM system in this session from the Software Architecture Conference 2026, presented by Akhil Agrawal.

The session introduces an agentic GTM architecture built around multiple specialized AI agents working with a shared context layer. Instead of treating AI as a collection of isolated automation tools, the approach connects agents across different go-to-market functions so they can work with shared information, coordinate actions, and improve based on outcomes.

The discussion explores how an agentic GTM system can support activities such as signal detection, account and prospect research, personalization, messaging, execution, and pipeline management. A shared context layer helps agents work from consistent information, while defined responsibilities and human oversight provide control over important decisions.

The session is particularly relevant for AI engineers, software architects, product leaders, founders, sales and marketing technology professionals, and developers interested in building AI-powered business systems.

Learn how multi-agent architecture, shared context, AI-powered workflows, and continuous learning can be combined to create scalable GTM systems that move beyond individual AI automations toward an integrated agentic operating model.