Qure.ai Accelerates Sales Onboarding by 45% with AI Roleplays and Closed-Loop Coaching

The Challenge

Qure.ai’s sales team operates in a high-stakes healthcare environment where conversations demand clinical credibility, regulatory awareness, and precise value articulation. Traditional onboarding methods—shadowing live calls and ad-hoc coaching—were slow, inconsistent, and difficult to scale across regions.

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Managers lacked a reliable way to ensure reps were truly ready before engaging clinicians and enterprise buyers. Coaching was reactive, subjective, and based on limited call sampling rather than real performance data.

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Long ramp times delayed pipeline contribution from new hires. Inconsistent discovery and objection handling risked credibility in critical customer conversations, slowing deal progression and increasing dependency on senior sellers.

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The Solution

Qure.ai implemented Outdoo’s Unified AI Roleplay & Real-Call Coaching Solution to modernize sales enablement. Reps practiced real-world healthcare scenarios using AI roleplays before live calls, while managers reinforced learning through AI-scored real calls—creating a closed-loop system where practice directly translated into performance.

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AI Roleplays for Complex Healthcare Sales Conversations

Qure.ai created AI roleplay agents to simulate clinician objections, procurement scrutiny, and technical validation conversations. Reps practiced discovery, positioning, and objection handling across voice and chat roleplays, receiving instant AI scoring and personalized drills.

This ensured sellers were prepared for high-stakes conversations before engaging real customers.

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“AI roleplays gave our reps a safe environment to practice complex healthcare conversations before they went live. That preparation shows up clearly in real calls. ”

Amisha Panchal Revenue & Enablement Leader, Qure.ai

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Post-Sales Roleplays for Continuous Coaching

Outdoo was also used beyond pre-sales. Qure.ai ran post-sales roleplays to prepare teams for renewals, expansions, and implementation discussions—helping standardize how reps handled stakeholder alignment, value reinforcement, and long-term account growth.

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“Instead of guessing what to coach, we can point to the exact moment in the call and the behavior that needs improvement. It’s faster, more objective, and far more effective. ”

Samir Shah Sales Leader, Qure.ai

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AI Coaching for Measurable Performance Management

Outdoo automatically scored real customer calls, surfacing coachable moments around discovery depth, meeting framing, talk-to-listen ratio, and next-step clarity. Managers used these insights to deliver targeted, data-backed coaching without manually reviewing every call.

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Coaching shifted from opinion-based feedback to measurable behavior change.

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“Once calls are connected to CRM, everything just works—deal visibility, follow-ups, coaching. The operational lift is massive. ”

Andrew Kinsey Sales Operations, Qure.ai

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The Impact

By combining AI roleplays with real-call scoring and closed-loop coaching, Qure.ai transformed enablement into a scalable, data-driven system.

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Reps practiced critical healthcare conversations before live calls, managers coached with evidence, and enablement leaders gained visibility into what actually drives deal success.

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Accelerated Readiness Through Practice at Scale

Qure.ai reps completed hundreds of structured practice and live-call learning moments in a single month.

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In November alone, the team executed 458+ playbooks and reviewed 252 recorded customer calls, reinforcing consistent messaging across the sales organization.

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This closed-loop approach reduced ramp time by an estimated 45%, particularly for new hires navigating complex clinical and enterprise sales cycles.

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Data-Driven Coaching Without Manager Burnout

Outdoo’s AI audited 252 calls in one month, saving an estimated 134+ hours of manual call review time.

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Managers focused on high-impact coaching moments—such as discovery quality and objection handling—resulting in a 28% improvement in rep performance across evaluated calls.

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Operational Efficiency and CRM Discipline at Enterprise Scale

With AI-powered playbooks mapped directly to CRM fields, Qure.ai eliminated manual post-call updates. In one month, 73 CRM records were auto-updated, saving 24+ additional hours of rep time.

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Combined with call reviews, Outdoo delivered 158 hours saved in a single month—nearly 20 full working days—while improving pipeline visibility and forecasting accuracy.

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A Scalable Foundation for Global Enablement

Most importantly, Qure.ai established a long-term enablement framework where skills practiced in AI roleplays are continuously validated and reinforced through real-call data.

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Enablement and leadership now operate from a single system to practice, measure, coach, and scale performance globally—without sacrificing quality or credibility.

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