Sales Doesn't Have an AI Problem. It Has an Execution Problem.

For the last decade, sales technology has promised one thing above all else: more information. More data. More insights. More automation.

Yet despite the explosion of sales tools, dashboards, and AI powered outputs, one uncomfortable truth remains: most B2B sales teams are still struggling to execute consistently when it matters most.

Deals stall. Messaging falls flat. Reps default to generic outreach. Managers spend hours coaching without seeing durable skill improvement. And sellers, despite being surrounded by intelligence, are left guessing about what to say, when to say it, and how to move deals forward.

According to Andrew Currinder and Tony Salvage, co founders of Tablestakes AI, this is not a technology gap. It is an execution gap.

"Sales teams are not failing because they do not have enough information," Currinder explains. "They are failing because they do not have a system that turns buyer insight into confident action in real time."

Built by Operators Who Lived the Problem

Currinder and Salvage did not come to this conclusion from theory. They lived it.

Both founders built their careers inside some of the most competitive B2B sales environments in the country, including payroll, HR, workforce management, SaaS, and small business services organizations. They have carried quotas as individual contributors, led teams as managers, and owned revenue outcomes across regions and verticals.

They have also experienced the daily friction modern sellers face.

"You are expected to research accounts, personalize outreach, understand competitors, plan deal strategy, and show up sharp for every conversation, often with no real system tying it all together," says Salvage. "So reps either burn out trying to do everything manually, or they cut corners and sound like everyone else."

That disconnect between what sellers know and how they execute became the foundation for Tablestakes AI.

Why Most Sales AI Tools Miss the Mark

The market is crowded with sales AI solutions promising speed and efficiency. Most focus on generating content, summarizing calls, or automating individual tasks.

The problem is that optimizing outputs does not guarantee better outcomes.

"Automation alone does not make someone a better seller," Currinder says. "If anything, it can mask weak execution by producing more activity without improving judgment, confidence, or skill."

What sales teams actually need is a way to think better under pressure. They need to turn research into relevance, messaging into momentum, and conversations into closed business.

That is where Tablestakes AI takes a fundamentally different approach.

Turning Buyer Intelligence Into Execution

Tablestakes AI is built around a simple but powerful idea. Great sellers do not just know more. They execute better.

The platform unifies account research, personalized messaging, competitive insight, deal strategy, and live skill development into a single execution loop. Instead of juggling tools or starting from scratch for every prospect, sellers receive buyer specific guidance that helps them decide what to say, how to say it, and what to do next.

More importantly, the system reinforces how sellers think, so performance improves over time, not just on individual tasks.

"Execution is a muscle," Salvage explains. "If you do not train it, you do not scale it. We wanted to build something that actually develops sales judgment, not just fills templates."

The result is a platform that helps teams execute with clarity and confidence without adding complexity.

Early Traction Across Diverse Industries

Although industry agnostic by design, Tablestakes AI has already attracted customers across a wide range of sectors.

Early adopters include a top 10 US payroll provider, a major Chicago based freight and logistics company, a government procurement agency, a care intelligence company based in Austin, a real estate utility company, and an HR professional training and coaching organization.

What is resonating is not just speed. It is consistency.

"Leaders care about predictability," Currinder notes. "They want fewer hero reps and more repeatable excellence. That only happens when execution is systematized."

The Future of Sales Is Execution First

As AI continues to flood the sales landscape, Currinder and Salvage believe the next wave of winners will not be the companies that generate the most content, but the ones that help sellers perform better in real moments with real buyers.

"Sales does not need more noise," Salvage says. "It needs clarity, confidence, and better execution."

Tablestakes AI is currently preparing to open its seed round in early 2026, following inbound interest from both customers and investors. But for the founders, growth is not about hype. It is about impact.

"If we help sellers execute better," Currinder says, "everything else takes care of itself."

About Tablestakes AI

Tablestakes AI is an AI powered sales intelligence platform designed to help B2B sales teams turn buyer insight into confident execution. By unifying research, personalized outreach, deal strategy, and skill development, Tablestakes AI enables sellers to perform better in real time and improve faster over time.

To learn more, visit https://mytablestakes.com/

Press inquiries: support@mytablestakes.com

Tablestakes AI LLC
Attn: Tony Salvage
5240 Washington Place
St. Louis, MO 63108
United States

Email: support@mytablestakes.com

Website: https://mytablestakes.com

Tablestakes AI is an AI powered sales intelligence platform built to help B2B sales teams turn buyer insight into confident execution. Founded by experienced sales leaders, the company was created to address the gap between having information and knowing how to act on it in real selling moments. Tablestakes AI unifies account research, personalized messaging, competitive insights, deal strategy, and skill development into a single system that helps sellers execute more effectively and improve performance over time. The platform is industry agnostic and serves sales leaders and teams across a wide range of B2B organizations.

This release was published on openPR.