When to use this
Readiness is assumed, not measured
The client believes the organization is ready, but the evidence is thin. You need to know what people understand, where confidence is low, and what will block delivery.
Readiness is uneven across teams
One function is ready to move, another is blocked, and another does not understand what is coming. You need to see the gaps before the work starts.
No baseline to measure against
The work may go well, but without a readiness baseline nobody can show where confidence, capability, or adoption risk actually shifted.
How it works
Assess before you design the work
Deploy AI-led interviews to every stakeholder group the engagement will touch. Surface readiness gaps, workflow friction, and barriers to adoption.
Build a readiness benchmark
Every response is scored automatically. Build a quantified picture of where people stand today by team, function, or capability.
Shape the plan with evidence
Use the findings to shape recommendations, communications, training, coaching, or adoption work around real needs.
Repeat the benchmark, prove the shift
Run the same diagnostic after delivery. Compare results against the baseline to show exactly where teams moved and where gaps remain.
Impact
Real blockers surfaced
Plans shaped by what people actually struggle with, not what managers assumed
Readiness benchmarked
A quantified baseline before delivery starts
Adoption evidenced
Before-and-after data showing what shifted and where gaps remain
Repeatable across clients
Same assessment across every program, client, and cohort
