Instead of personally answering questions from over 20 stakeholders, OneMind's CEO directed them to their AI agent, "Mindy." This allowed for asynchronous, instant information retrieval, dramatically accelerating the complex enterprise sales cycle.

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AI avatars are moving beyond text chat to multimodal interactions, including audio and visual product demos directly on the website. They handle initial discovery and qualification conversations that can last for many minutes. This provides sales reps with rich context, allowing them to transform their first human interaction into a closing call, collapsing the sales cycle.

Instead of fully automating conversations and risking sounding robotic, use AI to provide real-time suggestions and prompts to a human sales rep. This scales expertise and consistency without sacrificing the human touch needed to close deals.

AI agents can manage the entire buyer lifecycle from first touch to upsell. This removes human capacity constraints, allowing companies to merge siloed go-to-market teams into a single, cohesive unit focused on the customer journey.

Instead of relying on ad-hoc calls to finance or other reps, LLMs can act as a central nervous system for sales. By analyzing past quotes and data, AI can instantly recommend the optimal deal structure for a new quote—maximizing commission for the rep and aligning with business goals, putting revenue back in motion.

An Executive Assistant at Zapier built an AI agent that automates her weekly meeting prep. The agent researches external attendees, checks the CRM and internal comms for context, and delivers a digest and tasks. This saves hours of manual work and ensures thorough preparation.

Create a dedicated AI agent pre-loaded with your company's specific deal qualifiers (budget, timeline, ICP). Feed it discovery call notes, and it can instantly score the opportunity or flag it as disqualified, preventing reps from wasting time on deals that will never close.

Prospects often delay contacting sales because they fear being pressured. An AI bot, positioned as a neutral information source, removes this friction. This encourages potential customers to engage earlier in the buying journey because they can get answers without the stress of a sales conversation.

By building a custom AI agent for inbound lead qualification, Vercel reduced its inbound SDR team from ten people to one. The agent, which cost only $1,000 per year to run, maintained conversion rates while decreasing response time and number of touches needed.

By implementing an AI agent trained on its knowledge base, Castos (a SaaS with 4,000 customers) reduced support tickets by 50%. The system provides instant answers while a crucial "escape hatch" button allows customers to easily reach a human, preventing frustration.

A custom AI system named Marilyn, built by the CMO and one engineer, has become the central nervous system for Wiz's GTM team. It answers complex questions on competition, product docs, and strategy, even translating content for global teams. This demonstrates the immense ROI of building custom internal AI tools.