Overview:

This session provides sales professionals with a structured, practical approach to incorporating AI into the recurring tasks that define a sales cycle: prospect research, outreach and follow-up sequences, proposal drafting, and objection-handling preparation. Rather than a broad survey of AI capabilities, the session is organized around the actual stages a deal moves through, and demonstrates a repeatable framework for approaching each one.

The session opens with prospect research and outreach, showing attendees how to use AI to quickly synthesize publicly available information about a prospect or account into a genuinely useful starting point for personalized outreach - reducing research time while increasing, rather than decreasing, the specificity of the resulting message. Attendees learn a framework for structuring these requests so the output requires meaningful refinement rather than a full rewrite, keeping the salesperson's own voice and judgment central to the final message.

The session then moves into proposal and follow-up drafting, exploring how AI can help structure a proposal around a client's specific stated priorities rather than a generic template, and how a consistent, well-timed follow-up cadence can be maintained without it becoming a manual tracking burden. Attendees explore how to carry context from an initial conversation into these later-stage documents, so each one reflects the actual relationship rather than reading as boilerplate.

Objection-handling preparation receives dedicated attention, with attendees learning how to use AI to think through likely objections and response approaches in advance of a client conversation - treated explicitly as preparation and rehearsal, not as a script to be read verbatim, since genuine responsiveness in a live conversation remains an irreplaceably human skill.

Throughout the session, a clear line is maintained between what AI can usefully support and what must remain the salesperson's own judgment: reading a room, adjusting tone in real time, and making the relationship-based decisions that ultimately close a deal. The session closes with guidance on building a personal, sustainable workflow that can be applied to an attendee's very next prospect list, rather than a set of disconnected tips.

Why you should Attend: Sales professionals today are being asked to hit the same - or higher - quota targets while working leaner pipelines and facing more informed, more skeptical buyers than in previous years. Attending this session is not about adding one more tool to an already crowded sales tech stack. It is about reclaiming the hours currently lost to repetitive research and drafting, so those hours can be redirected toward the highest-value activity in sales: actual conversations with real prospects.

There is a real cost to delaying this conversation. Sales organizations that build AI fluency into their prospecting and proposal workflows are quietly resetting the baseline for how quickly a personalized outreach sequence gets built, how thoroughly a prospect gets researched before a first call, and how consistently a proposal reflects what a client actually said they cared about. Sales professionals who have not yet built this fluency are not simply working at their own pace - they are competing against peers, inside and outside their own organization, who are already closing that gap. In a field where compensation is directly tied to performance, that gap has a very direct and personal cost.

There is also a quality dimension worth naming clearly. Generic, unpersonalized outreach is easy for a prospect to spot and easy for them to ignore - and it is often the default when a salesperson is stretched too thin to research and tailor every message individually. A structured AI-assisted approach makes genuine personalization achievable at volume, which directly addresses one of the most common reasons promising prospects go cold: they simply never felt like the outreach was actually about them.

Finally, this session addresses a concern many sales professionals carry quietly: uncertainty about how to use AI in front of a client without the result feeling generic, robotic, or obviously AI-generated. Rather than leaving attendees to experiment on their own and risk sending a proposal or email that undermines the very relationship they are trying to build, this session provides a tested, repeatable framework for using AI as a starting point that still requires - and benefits from - the salesperson's own judgment, voice, and relationship knowledge before anything reaches a prospect's inbox.

Areas Covered in the Session:

• A structured framework for using AI to research prospects and accounts before outreach or a first call
• Building personalized outreach sequences at volume without sacrificing genuine specificity
• Drafting and refining proposals that reflect a client's specific, stated priorities
• Maintaining a consistent, well-timed follow-up cadence without manual tracking overhead
• Using AI to prepare for likely objections while preserving authentic, in-the-moment responsiveness
• Establishing a clear boundary between AI-assisted drafting and the relationship judgment that closes deals
• Prompting techniques tailored specifically to sales artifacts and buyer psychology
• Avoiding generic, easily-identifiable AI language in client-facing communication
• Building a personal, repeatable workflow that can be applied to a current pipeline immediately

• Account Executives and Sales Representatives
• Sales Development Representatives (SDRs) and Business Development Representatives (BDRs)
• Sales Managers and Team Leads
• Account Managers and Client Success Professionals
• Business Development Managers
• Inside Sales and Outside Sales Professionals
• Sales Enablement and Sales Operations Professionals
• Entrepreneurs and Business Owners managing their own sales process