People-AI-HR Launchpad Service
Assessment
The first step in scaling AI in HR isn’t technology—it’s clarity.
Most HR leaders already hear promises from vendors and internal champions, but what they lack is a practical, outside-in view of where their function truly stands and what it will take to move forward with trust. Our Assessment provides that clarity.
Grounded in the TRUST by People-AI-HR™ methodology (Target, Research, Understand, Scale, Train), this service benchmarks your HR function against peers and leading practices, identifies gaps in governance, skills, and adoption readiness, and pinpoints opportunities where AI can deliver measurable impact quickly.
Unlike generic vendor assessments, this review is tailored to the realities of mid-sized enterprises: resource constraints, executive expectations, and the need to build confidence step by step. We engage leaders and employees through diagnostics, interviews, and peer comparisons to create an objective picture of readiness. Then we translate those insights into a narrative your leadership team can understand and act on—without hype or jargon.
The outcome is not only a snapshot of where you are today but a clear direction on how to close gaps, reduce risks, and focus on the AI opportunities that truly matter for your workforce.
Deliverables
- GenAI Readiness Diagnostic: Survey, leadership interviews, peer benchmarking)
- Strengths & Gaps Report: Capabilities, governance, risks, employee sentiment)
- Opportunity Map: Quick wins + long-term priorities
- Leadership Alignment Workshop: Executive session to interpret findings and align next steps
Other Launchpad Services
Action Plan
We build a targeted 90-day pilot + 12-month roadmap, so you can move quickly and prove results without overwhelming your team.
Adoption
Most AI projects fail not because of the tech — but because employees don’t use it. We connect AI to daily HR work, equip teams with toolkits, and build champions networks that drive adoption.
Analytics
Prove impact where it matters. We track adoption, productivity, error reduction, and employee sentiment — not just “usage stats.”