Enterprise Ask Me Anything for Everything Post-Sales
AMA is Cast’s enterprise Ask Me Anything layer for everything post-sales.
Customers do not do business with isolated internal departments like Support, Success, Services, Voice of Customer, or Account Management. They do business with your company.
AMA is built for that standard.
Instead of limiting answers to static FAQs and knowledge bases, AMA is designed to answer across the full business context behind modern B2B customer relationships—so conversations can keep moving with the context people actually need.
See what changed in the latest release in AMA 2.0: The 68% Problem in B2B Customer Conversations.
AMA is designed to operate across the systems and context layers enterprise teams actually use and products you sell.
This gives AMA broad coverage across customer-facing use cases, partner use cases, internal stakeholder workflows, and partner-branded indirect customer experiences.
In other words, AMA is not just a support chatbot. It is an enterprise post-sales interaction layer.
AMA 2.0 expands this foundation with stronger orchestration, voice + visuals, and built/bought agent interoperability. Read what’s new in AMA 2.0.
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. AMA is designed to reduce that delay by continuing the conversation across the full business context—not just a static FAQ.
These findings are grounded in Cast’s deeper analysis of more than 800 Zoom, Gong, and Chorus recordings (2.21M minutes) of customer-facing team conversations. In that analysis, Cast reports that CSMs responded at least once with “let me get back to you” in 68% of meetings, which slowed decisions and reduced momentum.
Different users prefer different interfaces. Some want to type. Some want to speak. Some need visual context while they ask follow-up questions.
AMA supports an intermix of interfaces so the same system can serve executives, operators, and customer-facing teams without fragmenting the experience.
AMA 2.0 adds stronger voice + visuals experiences in the latest rollout.
The agentic future is not build-or-buy. It is a strategic combination of bought and built AI agents—as long as they can talk to each other.
Most enterprise teams will operate a mixed environment:
AMA is built for that reality.
The Lifecycle Agent behind AMA, embedded with the Presentation Agent acts as an orchestrator—connecting your internal built agents with bought agents and Cast agents (including the Cast Feedback Agent) so your team can focus its build cycles on what is most proprietary.
The goal is not to force a single-agent architecture. The goal is to make the ecosystem work together.
AMA runs on Cast’s AI infrastructure to support enterprise-grade performance, reliability, and precision in tool-calling—especially in environments where answers require coordination across multiple systems, not just retrieval from a single source.
With stronger grounding in enterprise data and system-level context, AMA is designed to improve answer quality while supporting governance requirements and complex operating models.
AMA is designed to combine:
This helps reduce hallucinations while preserving the responsiveness users expect in live conversations.
AMA is built for enterprise B2B organizations operating in complex post-sales environments.
If your organization serves customers across multiple systems, teams, and channels, AMA is built for that operating model.
AMA continues to evolve. AMA 2.0 adds stronger orchestration, enhanced voice + visuals, improved tool-calling precision, and deeper support for built-and-bought agent interoperability—while expanding through a phased rollout.
AMA is Cast’s enterprise Ask Me Anything layer for everything post-sales. It is designed to help customers, partners, and internal stakeholders get fast, account-specific answers across knowledge bases, enterprise systems, product telemetry, and governed enterprise memory.
AMA is built for enterprise B2B organizations with complex post-sales environments, including support, customer success, services, voice of customer, account management, leadership, and partner teams.
No. AMA is built for everything post-sales, not just support. It can support customer-facing, partner-facing, and internal stakeholder workflows across multiple teams and systems.
AMA can answer across knowledge bases and FAQs, systems your company uses (CRM, CS/CX, ticketing, analytics, cloud/data), products your company sells (usage, telemetry, activity, product signals), enterprise memory, and brand voice/narrative context.
Yes. AMA supports chat, voice, and visuals so different users can interact in the way that works best for them.
No. AMA can support your vector DB or Cast Vector DB depending on your architecture and governance requirements.
Yes. AMA 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.
Most AI support chat tools primarily answer from static FAQs and knowledge bases. AMA 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.
Read the latest release update here: AMA 2.0 and the 68% Problem in B2B Post-Sales
Link target: /blog/ama-2-0-the-68-percent-problem
With the Cast AMA Agent, you can embed a secure, intelligent Q&A interface directly into your product or share it via email. It connects to every tool your team uses—CRM, Usage Data, Support Docs, and Success Plans—to answer complex questions instantly.
In a live Business Review, customers interrupt. They don't sit back and ask generic questions. They ask deep, specific ones:
Standard knowledge-base chatbots hit a wall here. You likely already use chatbots for support or marketing. They are excellent at recycling FAQs and sharing links, but they don't know who they are talking to. When faced with a specific question about a contract or usage trend, they are forced to say, "I don't know," and make the customer wait for a human.
The Cast AMA Agent is different. It connects your static Knowledge Base with live customer data. Because it is intimately familiar with every account—understanding their specific contract, usage history, and goals—it doesn't just recite policies. It calculates value, explains trends, and provides strategic advice instantly.
It isn't just a support bot. It acts as an always-on Customer Success Manager, Account Manager, Onboarding Specialist, and Renewal Expert—giving your customers access to your entire team through a single interface.
Don't just take our word for it. Watch the Cast Agent deliver a data-driven presentation and then handle a live interruption. Notice how it seamlessly switches from "Presenter Mode" (Full Audio) to "Q&A Mode" (Interactive) the moment the customer has a question—giving them control of the conversation.
Here are some sample questions Digital CSMs can answer.
(Note: The video includes audio for the presentation portion. It automatically pauses during the AMA session to let you read the Q&A interactions.)
Automation handles the scale. Humans handle the strategy. Even the best AI Agent knows when to call for backup. If a customer asks a question that requires deep strategic consulting or human empathy, the Cast AMA Agent doesn't just say "I don't know."
It intelligently routes the customer to the right human, offering configurable escalation paths relevant to your business rules:
Trusted by Enterprise Leaders This agentic approach to scaling success is already driving results for HP Enterprise, Pure Storage, vCom, PortWorx, Aruba, Ruckus Networks, CDK global, Cloudera, and others.
