Service 01
Human-AI Effectiveness Score
A organizational diagnostic for successfully implementing AI. It measures the conditions AI adoption depends on, isolates what is slowing production, and tells leadership where to act first.
7–10
Days from kick-off to report delivery
3 × 7
Dimensions and sub-dimensions scored
Top 3
Constraints with root causes and interventions
10–15
Minutes per respondent
How the diagnostic reads an organization
Capabilities
Can people perform what AI-enabled workflows require?
Environment
Does the operating environment enable or absorb the behavior?
Motivation
Will teams prioritize the new way of working?
01 — Our core diagnostic
The Human-AI Effectiveness Score
An organizational diagnostic for implementing AI in the way work is actually performed. It measures the conditions AI adoption depends on and identifies where those conditions are not yet in place.
The Score evaluates each condition separately and reports the constraints affecting performance, along with the actions available to leadership — whether a deployment is being planned or already underway.
What the report covers
Where
Where an organization sits on the change curve, including unfinished work from earlier stages that creates drag on current initiatives.
What
What factors are slowing production. We analyze individual and environmental factors to identify what is affecting AI adoption in daily workflows.
Why
Why execution is stalling. The report isolates performance-limiting factors — workflow design, skill gaps, systemic friction, engagement — so leadership can direct resources accordingly.
What the Score measures
Capabilities
The skills and know-how people need to work alongside AI.
Environment
The workflows, tools, and structures that either enable or block adoption.
Motivation
The incentives and beliefs that shape whether new ways of working stick.
Kanosis Readiness Index
Illustrative exampleAt a glance: how ready an organization's people and AI really are to deliver together — and what is holding the number back.
Kanosis Readiness Index
Moderate readiness conditions
A Kanosis Readiness Index of 65.5 places this organization in the Moderate range — belief and enthusiasm are strong, but the conditions needed to execute reliably have not caught up. That gap is the whole story: motivation is running ahead of readiness. The full report pinpoints where the drag is and what to do about it.
Figures are illustrative examples, not client data.
Sample executive output
What leadership sees at a glance
An illustrative example of the summary view. Values are constructed for demonstration and do not represent any client organization.
Moderate readiness conditions. Preparation Gate: partially met.
Unfinished Commit-stage work is creating drag downstream.
No role accountable for reviewing or owning AI-assisted output.
Confidence is high — running ahead of the conditions needed to deliver.
Over-reliance and skill erosion are the leading patterns.
The Kanosis Readiness Index describes the strength of the readiness conditions measured; it does not authorize progression. Figures are illustrative examples, not client data.
Pricing
Scoped to organization size
Pricing is based on scope, organizational size, and complexity, including the number of teams or workflows, level of customization, and technology stack. General pricing ranges are provided below for budgeting purposes.
- Fewer than 25Standard: $4,500 – $10,000Premium: $10,000 – $12,500
- 26 – 50Standard: $10,000 – $20,000Premium: $12,000 – $24,000
- 51 – 100Standard: $20,000 – $40,000Premium: $24,000 – $48,000
- Over 100Standard: $40,000+Premium: $48,000+
* An organization can be a team, department, business unit, or a whole organization.
What’s included
Strategic planning
Pre-launch customization and planning session with the leadership team.
Employee communications
Pre-launch communications plan with draft templates to increase participation and improve response quality, plus a 15-minute kick-off call with Q&A.
Human-AI Effectiveness Assessment
Diagnostic questionnaire with an estimated completion time of 15 minutes per respondent.
Complete diagnostic report
Composite Human-AI Effectiveness Score analyses.
Executive briefing
Our team walks through the results and strategic recommendations and answers questions.
Service timeline
What the ten days look like
Light on the calendar, heavy on evidence. Every step produces an input the Optimization Program later depends on.
- Day 1
Kickoff
Review timeline and expectations, and confirm scheduling with the client's team.
- Days 2–4
Assessment — timeslots 1 & 2
A 10-minute intro, then the assessment link is emailed. 30 minutes are allocated per participant, with a 10–15 minute average completion time.
- Days 4–8
Report creation
3–5 business days, depending on the size of the organization.
- Days 9–10
Report review
Findings call with leadership, followed by secure report delivery.
Book a free consultation
Share details about a current or upcoming AI adoption — goals and expectations, what is going well, and what needs attention. A member of our team will follow up to discuss the situation and how Kanosis can help.
Prefer email? hello@kanosis.com
Or call (940) 277-9256