Wintage Club Insights

From Wingman to Clari: The journey to scaling sales teams

Highlights from our conversation with Shruti Kapoor, Head of International Business at Clari
AI Summary
  • Scaling a sales team from startup to enterprise requires rethinking process, tooling, and talent at each growth stage — what works at $1M ARR breaks at $50M.
  • Early-stage teams rely on founder-led selling and tribal knowledge; growth-stage teams need repeatable processes, enablement infrastructure, and operational rigor.
  • The Wingman-to-Clari journey illustrates how conversation intelligence and revenue intelligence tools evolve from nice-to-have to essential infrastructure.
  • AI tools that consolidate knowledge, automate repetitive work, and provide deal-level intelligence become critical at scale — manual processes cannot keep pace with growing pipeline.
  • Lessons for sales leaders: invest in infrastructure before you need it, codify tribal knowledge into systems, and adopt AI to scale output without proportionally scaling headcount.
  • Scaling a sales team from startup to enterprise requires rethinking process, tooling, and talent at each growth stage — what works at $1M ARR breaks at $50M.
  • Early-stage teams rely on founder-led selling and tribal knowledge; growth-stage teams need repeatable processes, enablement infrastructure, and operational rigor.
  • The Wingman-to-Clari journey illustrates how conversation intelligence and revenue intelligence tools evolve from nice-to-have to essential infrastructure.
  • AI tools that consolidate knowledge, automate repetitive work, and provide deal-level intelligence become critical at scale — manual processes cannot keep pace with growing pipeline.
  • Lessons for sales leaders: invest in infrastructure before you need it, codify tribal knowledge into systems, and adopt AI to scale output without proportionally scaling headcount.

A few weeks ago, we had the pleasure of catching up with Shruti Kapoor, Head of International Business at Clari, as part of our flagship video series, "Wintage Club Conversations." Shruti is the founder and CEO of Wingman, which was acquired by Clari in 2022 and she has seen a journey of 5x growth in the last 18 months. She now heads the International Business for Clari across India and APAC. She is passionate about helping revenue teams hit their goals, through better conversations with their customers.

In this blog, we're going to capture some of the highlights from our conversation with Shruti. You can watch the full interview here.

Transitioning from a small team at Wingman to a scaled revenue team at Clari

Shruti noted that while there was definitely an adjustment to be made when moving from managing a small team to a scaled one, the key difference for her was the shift from selling to small businesses or mid-market-sized companies to selling to enterprise customers. There was a lot of learning involved and she made several new observations.

For each enterprise sale, you need an account plan and you have to map out multiple stakeholders, understand what their motivations are, and even where they are in their career. In some cases, Shruti explained that it was also helpful to know how purchasing their product would impact the buyer's growth in the organization and what challenges they might be facing at a role level. Any advantage you can establish with data counts, so the more data you have, the more likely the sale.

GenAI - a great fit for sales

Reflecting on the transformative role of GenAI in sales tools over the past year, Shruti agreed that in a short time frame, it's become a staple; almost as if it had always been part of the landscape. Here are some of the critical ways in which she feels GenAI has revolutionized sales in the last year:

  • Data interrogation: The ability to query data directly is a game-changer. Platforms like Hubspot and Salesforce are at the forefront, redefining data analytics and dashboard functionalities. The surprising trend we're seeing with this wave of technology is the rapid adoption across the board from startups to tech giants.
  • Enhanced meeting insights: Post-meeting analyses have evolved. Sales professionals can now inquire about anything from specific customer reactions to product features directly from their call summaries.
  • Sentiment and summary automation: GenAI unlocks the ability to extract buyer sentiment on specific points from a discussion. It can also help generate personalized follow-up emails and improve productivity.
  • Streamlined sales enablement: Sales teams can now take a multi-page sales enablement document and condense it into concise, email-friendly bullets or summaries, making information sharing more efficient.

GenAI, with its basis in language processing, effectively fits into the sales industry, which depends significantly on communication. It is capable of managing unstructured language data, including customer follow-ups and internal communications, making it a great fit for sales.

Managing realistic expectations of AI in 2024

Shruti broke down the top-of-mind challenges for the upcoming year into two aspects: from a technology lens and a business lens.

On the tech side, she explained that the biggest challenge would be in managing expectations both internally and with customers on what AI can realistically do for us. Right now, due to social media hype and the tendency of sellers to oversell the capabilities of AI in the hopes that technology will quickly catch up, everyone has sky-high expectations of AI. Naturally, this means that even if AI does manage to improve on the current situation, we will be disappointed as it hasn't managed to match our high standards. This leads us to develop a negative, almost dismissive attitude towards the effectiveness of AI.

On the business side, Shruti admits to keeping a close eye on the current state of the stock markets. While it's been interesting to see the stock market perk up a bit, the bigger economic picture hasn't quite caught up, leaving us to wonder if this upward trend will last and whether we ought to expect a bump down the road. It's a big question on everyone's mind, especially when considering business growth, inflation, and more. While tech companies often grab the spotlight, it's important to remember the vast, impactful world of other industries that, though less in the limelight, fundamentally shape our economy. This broader picture will influence how sales teams plan their targets for the year.

Taking an agile approach to planning for uncertain times

For 2024, Shruti and her team are adopting a 'let's take it as it comes' attitude towards planning their targets. Instead of setting everything in stone from the get-go, they are planning for the first half of the year with the intention to regroup and reassess for the second half. It's all about staying flexible and adapting to changes as they happen. This will give them room to breathe and adjust to reality, ensuring they're always moving forward, not just reacting to the world around them.

Shruti has also been encouraging her team to be more experimental with technology tools in the year ahead. Her advice to salespeople is to go out and be more explorative and open to technology tools. Rather than one person on the team evaluating five tools at a time, she's advocating a more collective learning approach. For a long time, technology was always something that was imposed on salespeople, but now they're learning that it can actually be something that's making them smarter, and making their jobs easier. Shruti believes that this year will be crucial in this shift in perspective on sales technology.

Want to learn more about Shruti’s thought process? You can watch it.

What does the evolution from Wingman to Clari represent in sales technology?
The journey from Wingman to Clari represents the broader evolution of sales intelligence technology: from call recording and note-taking tools that help reps recall what was said, to comprehensive revenue intelligence platforms that analyze deal health, forecast accuracy, and execution quality at the team level. This evolution reflects the maturing of AI capabilities in sales—moving from assistive note-takers to strategic deal advisors that surface insights across the entire revenue organization.
How have conversation intelligence tools changed the way sales teams manage deals?
Conversation intelligence tools have fundamentally changed deal management by making what happens in buyer conversations visible and analyzable at scale. Leaders can now review how top performers handle objections, identify which talk tracks correlate with winning deals, and spot rep behavior patterns that predict pipeline risk—without listening to every call manually. This visibility creates a coaching feedback loop that was previously only available through intensive one-on-one mentoring.
What are the key milestones in scaling a sales team from early stage to growth stage?
Key scaling milestones include: establishing a repeatable sales process before hiring beyond the founding team, building a knowledge management layer before the team grows past where informal knowledge sharing works, deploying pipeline analytics before forecast inaccuracy becomes a board-level concern, and investing in presales infrastructure before the AE-to-SE ratio becomes a capacity bottleneck. Teams that invest in these foundations early scale more efficiently than those who address them reactively as problems become painful.
What role does technology play in scaling sales teams effectively?
Technology plays two roles in scaling sales teams: operational efficiency (doing the same work faster with fewer manual steps) and strategic intelligence (surfacing insights that improve decision quality). The highest-impact technologies for scaling sales teams address both: AI tools that automate administrative work recover selling time, while analytics platforms that surface deal risk and coaching opportunities improve the quality of leadership decisions at scale. Technology that only addresses efficiency without improving strategic decision-making delivers incomplete scaling value.
How should growing sales teams approach tool selection as they scale?
Tool selection at scale should prioritize: integration with existing infrastructure (tools that work within your current stack rather than requiring migration), adoption design (tools that fit rep workflows rather than creating new ones), and proven ROI from comparable customers (references who can validate real-world results). Teams that select tools based on demo impressions rather than use-case fit often invest in shelf-ware—sophisticated capabilities that are never adopted because they don't fit the workflow they were meant to improve.
What does 'scaling influence' mean at the organizational level for a sales team?
At the organizational level, scaling influence means building systems that allow the team's collective expertise, relationships, and institutional knowledge to compound rather than linearly accumulate. When top performers' winning behaviors are captured, distributed, and reinforced through coaching, content, and AI tools, the entire team operates at a higher level. This is the difference between a sales organization where performance depends on individual heroics and one where the system itself produces consistently excellent outcomes.
What is the most important lesson from companies that have scaled sales teams successfully?
The most consistent lesson from successful sales scaling stories is: invest in process and knowledge infrastructure before the team size where informal coordination stops working. Most teams hit a wall at 15–20 sales reps when informal knowledge sharing and ad-hoc coordination break down. The teams that scale through this wall are those that had already invested in: a documented, consistently executed process; a knowledge management system that doesn't depend on any individual; and analytics that surface problems early rather than after pipeline damage is done.

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