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Tempus AI Sales

To enable precision medicine through advanced technology and data analytics by making it accessible to all patients worldwide

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To enable precision medicine through advanced technology and data analytics by making it accessible to all patients worldwide

Strengths

  • PLATFORM: Industry-leading AI-driven clinical data platform
  • DATA: Largest clinical and molecular dataset in oncology
  • PARTNERSHIPS: Strong network of 50+ leading medical centers
  • TALENT: Elite team of data scientists and oncology experts
  • VALIDATION: 85% diagnostic accuracy in clinical studies

Weaknesses

  • SCALABILITY: Limited expansion beyond US oncology market
  • REVENUE: High customer acquisition costs, 22% above industry avg
  • ADOPTION: Slow integration cycle with new healthcare systems
  • INTEGRATION: Complex tech stack requires specialized training
  • RETENTION: Customer churn rate of 15% exceeds targets

Opportunities

  • EXPANSION: International markets show 27% annual growth demand
  • DIVERSIFICATION: Enter cardiology and neurology verticals
  • PARTNERSHIPS: Pharmaceutical collaborations for clinical trials
  • REIMBURSEMENT: New CMS codes for AI-assisted diagnostics
  • TELEHEALTH: Remote precision medicine consultations growing

Threats

  • COMPETITION: Increased market entries from tech giants
  • REGULATION: Evolving FDA oversight of AI in healthcare
  • PRIVACY: Stricter data protection laws impacting data access
  • REIMBURSEMENT: Uncertain insurance coverage for services
  • TALENT: Intensifying competition for AI healthcare expertise

Key Priorities

  • PARTNERSHIPS: Expand strategic hospital and pharma alliances
  • INTEGRATION: Simplify implementation process for new clients
  • EXPANSION: Develop entry strategy for international markets
  • DIVERSIFICATION: Launch pilot programs in adjacent specialties
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To enable precision medicine through advanced technology and data analytics by making it accessible to all patients worldwide

ALLIANCE MASTERY

Build unmatched network of strategic partnerships

  • EXPANSION: Sign 12 new academic medical centers with 20k+ patient throughput by Q3
  • PHARMA: Launch 3 pharmaceutical co-development projects with top-10 companies by Q4
  • RETENTION: Achieve 92% partner renewal rate while increasing average contract value by 15%
  • ADVOCACY: Secure 15 new clinical champions as public advocates through speaker program
SEAMLESS ADOPTION

Make implementation frictionless for all clients

  • ONBOARDING: Reduce average implementation timeline from 75 to 45 days across all new clients
  • INTEGRATION: Deploy universal API framework compatible with 95% of EHR systems by Q3
  • TRAINING: Develop self-service learning platform with 90% certification completion rate
  • SUPPORT: Achieve 4.8/5 implementation satisfaction score across all new implementations
GLOBAL REACH

Expand precision medicine impact worldwide

  • LAUNCH: Successfully enter 3 key European markets with 5+ partner institutions per market
  • COMPLIANCE: Achieve regulatory clearance in UK, Germany, and France for flagship platform
  • LOCALIZATION: Adapt platform for regional healthcare models with 90% provider satisfaction
  • GROWTH: Generate $5M in international revenue with positive contribution margin by Q4
SPECIALTY EXPANSION

Extend precision medicine impact beyond oncology

  • CARDIOLOGY: Launch cardiac precision medicine module with 5 pilot partners by Q3
  • NEUROLOGY: Complete proof-of-concept for neurodegenerative disease prediction with 85% accuracy
  • DATASET: Expand clinical database to include 500k+ records across new therapeutic areas
  • VALIDATION: Publish 3 peer-reviewed papers demonstrating efficacy in new specialties
METRICS
  • CLINICAL PARTNER ADOPTION RATE: 75%
  • REVENUE GROWTH: 40% YoY
  • NET RETENTION RATE: 120%
VALUES
  • Patient-centered innovation
  • Data-driven decision making
  • Collaborative healthcare advancement
  • Technology excellence
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Align the learnings

Tempus AI Sales Retrospective

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To enable precision medicine through advanced technology and data analytics by making it accessible to all patients worldwide

What Went Well

  • GROWTH: Revenue increased 32% YoY, exceeding target by 7 percentage pts
  • PARTNERSHIPS: Added 8 major health systems, 60% above quarterly goal
  • PRODUCT: Released molecular profiling platform with 95% accuracy rates
  • RETENTION: Improved existing client retention to 87%, up 5 points YoY

Not So Well

  • MARGINS: Gross margin declined 4 points due to increased service costs
  • SALES: Enterprise sales cycle extended to 9.5 months, 30% longer
  • IMPLEMENTATION: Client onboarding timeframe averaged 75 days vs 60 goal
  • INTERNATIONAL: European expansion missed target by 35% due to delays

Learnings

  • ENABLEMENT: Pre-sales technical resources critical for complex sales
  • PRICING: Value-based pricing models outperform traditional subscriptions
  • TRAINING: Implementation success correlates with staff training hours
  • SPECIALIZATION: Vertical-specific solutions drive 40% higher adoption

Action Items

  • PROCESS: Implement new sales qualification framework to reduce cycle
  • ENABLEMENT: Expand technical pre-sales team by 35% within 60 days
  • ONBOARDING: Redesign implementation process to reduce time by 30%
  • MARKETING: Develop ROI calculator showing financial impact for hospitals
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To enable precision medicine through advanced technology and data analytics by making it accessible to all patients worldwide

Strengths

  • ALGORITHMS: Proprietary ML models with 92% clinical accuracy
  • INFRASTRUCTURE: Scalable cloud architecture for real-time analysis
  • DATA: Unique access to 3M+ patient records for model training
  • EXPERTISE: 40% of staff with advanced AI/ML credentials
  • VALIDATION: Peer-reviewed publications confirming AI efficacy

Weaknesses

  • EXPLAINABILITY: Limited transparency in complex model decisions
  • INTEGRATION: Challenges connecting with legacy hospital systems
  • SPECIALIZATION: Over-focused on oncology vs. broader healthcare
  • SPEED: Model training cycles averaging 45 days, above targets
  • COMPLIANCE: Complex regulatory navigation for AI approvals

Opportunities

  • GENERATIVE: Apply LLMs to clinical documentation and reporting
  • AUTOMATION: Streamline 80% of routine diagnostic workflows
  • MULTIMODAL: Integrate imaging, genomics, and clinical data
  • FEDERATED: Develop privacy-preserving distributed learning
  • PERSONALIZATION: Custom treatment recommendations per patient

Threats

  • COMPETITION: Tech giants with superior computing resources
  • TRUST: Clinical resistance to AI-driven decision support
  • REGULATION: Stringent FDA approval process for AI algorithms
  • BIAS: Potential disparities in model performance across groups
  • OBSOLESCENCE: Rapid AI advancement requiring constant updates

Key Priorities

  • INNOVATION: Develop explainable AI for clinician trust
  • INTEGRATION: Create seamless APIs for hospital system connection
  • MULTIMODAL: Combine diverse data types in unified platform
  • VALIDATION: Expand clinical studies proving outcomes improvement