HR Technology Consulting

    Your AI Strategy Is Either Transforming Your Hiring or Wasting Your Budget

    While everyone talks about AI in recruiting, only 1 in 5 companies successfully scale AI beyond pilots to drive real hiring outcomes. The difference isn't the technology—it's the strategy behind it.

    Image of two coworkers chatting at a desk alongside graphics of a Gaant Chart and timeline.

    AI Will Transform Recruiting. Most Companies Will Get It Wrong

    AI promises to revolutionize recruiting, but most implementations create complexity, not value. The companies winning with AI build systematic approaches that amplify human decision-making rather than replacing it. The organizations that get AI right will hire faster and smarter. Those that don't will waste millions. The window to get this right is closing fast.

    By The Numbers

    78%

    AI Pilots Never Scale

    78% of AI recruiting pilots never scale to production use

    Deloitte Digital, 2024
    $2.3M

    Average Wasted Investment

    $2.3M average wasted investment in recruiting technology that doesn't deliver ROI

    McKinsey & Company, 2024
    45%

    Longer Implementation

    45% longer implementation times when organizations lack clear AI strategy

    Accenture Research, 2024
    18%

    Feel Confident in AI

    Only 18% of recruiting leaders feel confident in their AI deployment decisions

    PwC HR Tech Survey, 2024

    How Talivity Transforms Your AI Approach

    From AI hype to strategic advantage—a systematic approach to AI excellence.

    AI & Automation Readiness Levels

    Every organization is at a different stage of AI readiness. We meet you where you are and guide you to where you need to be.

    Level 1: Foundation

    Building the groundwork for responsible AI adoption with essential policies and foundational understanding.

    • AI policy and ethical guidelines established
    • Current process mapping and workflow documentation
    • Data quality assessment and cleanup plan
    • Team training and change management preparation

    Level 2: Pilot Ready

    Ready to evaluate and test AI solutions with clear success criteria and vendor evaluation frameworks.

    • Technology stack evaluation and integration planning
    • Use case identification and prioritization
    • Success metrics and measurement frameworks defined
    • Vendor evaluation and selection criteria established

    Level 3: Scale Enabled

    Successfully implementing AI at scale with governance frameworks and continuous optimization processes.

    • Production-ready AI implementations
    • Cross-functional governance and oversight processes
    • Continuous optimization and performance monitoring
    • Advanced use case development and expansion planning

    Level 4: AI-First Organization

    Leading the market with AI-driven decision-making and predictive capabilities across all hiring processes.

    • AI-driven decision-making embedded across all hiring processes
    • Predictive analytics and forecasting capabilities
    • Autonomous workflow optimization
    • Innovation pipeline for emerging AI capabilities

    Let's Talk

    Don't get buried in AI hype. Put it to work—responsibly, strategically, and at scale.