Tim G.

We have seen SDR/BDR teams hitting a consistent 20% connect rate, with this KPI's If you use Integration partners like JustCall you can see approximately a 12% connection rate in production environments, Use local numbers: Callers using nearby area codes. Remove outdated numbers quarterly to reduce dead dials.

TalentSync-AI has helped companies overcome seller resistance to AI tools; this is what worked for mid size 150m SaaS company… It was essential to shift the narrative from automation to augmentation. Don’t position the Agentic AI as a co-pilot that helps reps win deals faster by handling the admin work, surfacing key gaps, and prepping materials, IT IS NOT replacing their judgment or relationships. Transparency is critical: show reps exactly where AI insights come from (calls, emails, notes, Gong, Clary ect..) and give them control over updates and recommendations. This builds trust and reduces the fear of losing control. Start adoption with a few forward-thinking reps or team leaders who can showcase real wins like saving 4+ hours a week or identifying a blocker that helped close a high-value deal. Highlight these stories in team meetings to spark peer-driven momentum. Tailor enablement by persona: emphasize productivity for Gen X/Boomers and privacy/control for Millennials/Gen Z. Most importantly, embed the AI into existing workflows (CRM, Zoom, email) and allow feedback loops so reps feel they’re collaborating with the tool, not being managed by it. Hope this helps. Cheers.

Hey Xav, I understand where you're coming from. We’ve seen this pattern often, and I’m right there with you, our company, has a similar model, but focused around GTM execution and on-demand sales teams for SaaS and service-based tech companies. The unconventional nature of high-trust, embedded service models makes it tough to plug into a traditional sales motion. What’s worked for us is shifting the conversation away from just "more leads" or "headcount" and toward why sales leaders are still missing targets despite bigger teams. We lead with that pain and layer in MEDDPICC and Force Management frameworks to qualify deeply and build trust early. That helps us earn the right conversations with stakeholders who get our value — not just procurement gatekeepers or buyers comparing us to staff aug. Happy to swap notes or share what’s been working for us lately if it’s helpful. You’re definitely in the right place.

Hey Megan — great question. One of our clients recently made the switch from Salesloft to Gong Engage, and so far, no regrets — in fact, they’ve seen some big advantages, especially when it comes to sales methodology alignment and forecasting accuracy. Gong Engage is purpose-built around Meddpicc, which was a game-changer for their team. It allows reps and managers to embed Meddpicc fields directly into call workflows and deal reviews, so qualification isn’t just a checkbox — it’s part of every conversation. The system automatically tracks key deal signals (like decision criteria, timeline, and economic buyer) across calls and emails, which made coaching a lot more precise. Also, the call recording and deal timeline features helped their sales leaders identify blind spots and get ahead of deal slippage. Because it’s tied into Gong Core, all the activity and engagement data is rolled up into pipeline forecasting dashboards that are actually accurate — less gut feel, more signal. That said, the transition does take some change management, especially if your team is used to a traditional sales engagement platform. But if you’re leaning into a talentsync-ai.com methodology-driven, insights-first sales motion, Engage makes a compelling case. Happy to connect and share more if it’s helpful!

All, Great question and totally agree with the sentiment here — we’ve been working closely with GTM teams at early- to growth-stage SaaS companies on AI SDR implementation, and the key takeaway is this: there’s no silver bullet. The AI SDR “hype” is real, but success depends on how thoughtfully you build the stack around your ICP, deal size, vertical, and sales cycle complexity. What works for a high-velocity SMB SaaS product might fall flat in an enterprise motion where personalization and context really matter. We’ve found the most effective approach is building hybrid workflows that use AI to:

Our teams treat AI SDRs more like intelligent co-pilots than replacements — taking over the heavy lifting so human reps can focus on multithreading, relationship building, and strategic follow-up. We’ve tested a variety of stacks (attached) and combinations across different GTM motions and are happy to share more specifics if helpful — feel free to DM me or drop a comment.