By Dickey Singh, CEO and Founder, Cast.app
February 2026 NOte: AMA 2.0 (Ask Me Anything) is now in limited rollout with select customers.
We’ve spent the last few quarters engineering the next phase of the customer relationship. AMA 2.0 is currently moving through its initial rollout phase, and it represents a major step forward in how enterprise B2B organizations answer questions, maintain momentum, and orchestrate post-sales execution.
When we launched Cast AMA two years ago, it was state-of-the-art for large B2B organizations. It performed well in real enterprise environments. AMA 2.0 is the next major step forward—built for broader business context, stronger orchestration, and enterprise-grade performance.
In B2B customer conversations, momentum matters.
One of the biggest hidden costs in post-sales workflows is the delay between a question and a useful answer. In many organizations, that delay shows up as a familiar phrase:
“Let me get back to you.”
Based on an analysis of millions of minutes of conversations between customers and CSMs, we’ve observed a pattern: CSMs say “let me get back to you” 68% of the time, which often kills momentum.
When the conversation loses momentum, teams lose more than time:
The flip side is just as important: customers ask 11.8x more questions when the agent keeps answering questions.
That is the operational problem AMA 2.0 is designed to solve.
Customers don’t do business with separate departments of your company like Support, Success, Services, Voice of Customer, or Account Management.
They do business with your company.
AMA 2.0 was built for that standard: everything post-sales.
Most AI experiences today rely on static knowledge bases and FAQs. That approach is useful, but limited: documentation is costly to maintain, often out of date, and misaligned with how enterprise post-sales conversations actually work.
Read article: Customers want answers, not a tour of your org chart.
Real questions often depend on a mix of:
AMA 2.0 is designed to answer across the full business context, not just static documents.
AMA 2.0 is designed to operate across the systems and context layers that enterprise teams actually use:
This enables coverage across:
In other words, AMA 2.0 is not just a support chatbot. It is an enterprise post-sales interaction layer.
AMA 2.0 is built for the way people actually interact in enterprise environments.
Different users prefer different interfaces, and the best systems support an intermix of modes instead of forcing one interface on everyone.
AMA 2.0 adds voice + visuals to standard chat:
That matters because it allows the same system to serve different working styles without fragmenting the experience.
AMA 2.0 is built for:
We believe the agentic future is a strategic combination of bought and built AI agents.
Most enterprise teams will not use only one kind of agent. They will have:
That is the practical future.
And while many engineering teams can ship a demo quickly, reaching enterprise-grade polish, security, governance, and scale takes sustained effort.
AMA 2.0 is designed for this reality.
It allows your team to focus internal build cycles on your core proprietary agents, while the Lifecycle Agent behind AMA acts as an orchestrator—connecting:
The goal is not to force a single-agent architecture. The goal is to make the ecosystem work together.
Read article: Build vs. Buy AI Agents: How to decide.
AMA 2.0 now runs on our own AI stack
We run AMA 2.0 on our own AI stack simply to improve
This is especially important in enterprise environments where the system must do more than retrieve an answer from one source. AMA 2.0 often needs to coordinate across multiple systems, maintain structured context, and execute with consistency under governance constraints.
AMA 2.0 is built to support that level of production execution.
With context injection, AMA 2.0 delivers:
This helps reduce hallucinations through stronger grounding in enterprise data and system-level context, while preserving the responsiveness users expect in live conversations.
For enterprise teams, this matters because it reduces a common tradeoff:
AMA 2.0 is designed to improve both speed and coverage.
Read Article: The Agentic RAG Maturity Model
AMA 2.0 is built for enterprise B2B organizations operating in complex post-sales environments, including teams responsible for:
If your organization serves customers across multiple systems, teams, and channels, AMA 2.0 is built for that operating model.
AMA 2.0 is currently (February 2026) in limited rollout with select customers.
We’re expanding access in phases with current partners and a select number of new customers as we continue refining deployment patterns across different enterprise architectures.
If your team would like to be prioritized for an upcoming cohort, request a private walkthrough, or discuss rollout timing and fit, contact us.
If you know a colleague or partner whose team could benefit from AMA 2.0, feel free to share this article.
AMA 2.0 is Cast’s next-generation Ask Me Anything experience for enterprise B2B post-sales teams. It is designed to answer questions across knowledge bases, enterprise systems, telemetry, governed context, and agent workflows using chat, voice, and visuals.
Because customers do business with your company, not isolated departments. AMA 2.0 is built for everything post-sales, spanning support, success, services, feedback, account management, and leadership use cases.
Most AI support chat tools primarily answer from static FAQs and knowledge bases. AMA 2.0 is designed to answer across a broader enterprise business context, including systems you use, products you sell, enterprise memory, brand voice, and orchestrated agent workflows.
AMA 2.0 is designed to work across systems such as CRM, CS/CX platforms, ticketing systems, analytics platforms, cloud/data systems, and product telemetry sources, in addition to knowledge bases and FAQs.
Yes. AMA 2.0 adds voice + visuals to standard chat so it can support different user preferences, including executives who prefer voice and individual contributors who often prefer typing.
No. AMA 2.0 is built for everything post-sales, including support, customer success, services, onboarding, voice of customer, account management, expansion, partner workflows, and internal stakeholder/leadership use cases.
The “68% problem” refers to how often customer-facing teams say “let me get back to you” in B2B conversations, which can slow momentum and reduce engagement. AMA 2.0 is designed to keep conversations moving by continuing to answer across the full business context.
Context injection is part of how AMA 2.0 combines fast response times with broader enterprise context and governance. It is designed to provide the speed of model-only experiences while supporting the flexibility of governed, agentic RAG.
No. AMA 2.0 can support your vector DB or Cast Vector DB depending on your architecture and governance requirements.
Yes. AMA 2.0 is designed for a world of both bought and built AI agents. The Lifecycle Agent behind AMA can orchestrate with your internal agents and with Cast agents (including the Cast Feedback Agent).
AMA 2.0 improves reliability through stronger grounding in enterprise data and system-level context, improved tool-calling precision, and orchestration across enterprise systems.
AMA 2.0 is currently (February 2026) in limited rollout with select customers, with phased expansion underway.
Interested in AMA 2.0?
Request a private walkthrough or ask to be prioritized for an upcoming rollout cohort.
