AI Readiness Assessment
Measure how prepared your organization is to scale AI
A structured assessment across technology, process, and team dimensions, producing a clear readiness signal and a prioritized path to improvement.
- Multi-dimensional readiness view
- Actionable, ranked priorities
- Benchmarked against credible practice
What it evaluates
What the assessment evaluates
The assessment is designed to produce an honest, decision-grade view of where your organization stands today and what it needs to address to scale AI responsibly.
Strategy and ambition
Clarity of AI objectives and alignment with business priorities.
Operating model
Ownership, governance, and funding model for AI capability.
Technology foundation
Data, platforms, integration, security, and observability.
People and culture
Skills, sponsorship, change appetite, and adoption pathways.
Organizational readiness
Organizational readiness dimensions
Executive sponsorship
Visible, accountable leadership for AI outcomes.
Governance
Decision rights, risk posture, and review cadence.
Funding and prioritization
Mechanisms to fund and re-prioritize AI initiatives.
Operating ownership
Where AI capability lives and how it scales across business units.
Technology readiness
Technology readiness
Data foundations
Availability, quality, and accessibility of the data AI depends on.
Integration
Connectivity to CRM, ERP, contact center, knowledge, and identity.
Platform and tooling
AI platform choices, MLOps, and the surrounding engineering stack.
Security and compliance
Controls, audit trails, and regulatory posture for AI workloads.
Process readiness
Process readiness
Use-case discipline
How opportunities are identified, ranked, and approved.
Delivery rigor
Methodology, quality gates, and release management for AI work.
Measurement
KPIs, attribution, and outcome accountability.
Continuous improvement
Feedback loops, retraining cadence, and lifecycle management.
Team readiness
Team readiness
Leadership
Capacity of leadership to set direction and arbitrate trade-offs.
Talent
Skills coverage across strategy, engineering, data, and design.
Partnerships
External partners aligned with internal capability gaps.
Adoption
Change management and user enablement practice.
Scoring
Scoring framework
Each dimension is rated on a maturity scale, producing a composite readiness profile and a prioritized improvement plan.
Level 1 — Exploring
AI is discussed but not consistently funded or governed.
Level 2 — Piloting
Initial pilots in flight, with limited operating discipline.
Level 3 — Scaling
AI is governed, integrated, and delivering business outcomes in selected areas.
Level 4 — Industrialized
AI is a managed operating capability across the enterprise.
Form
Assessment request
Share enough context for us to size the engagement and align on participants.
Assessment request
Share enough context for us to size the engagement and align on participants.
FAQ
Frequently asked questions
Contact
Reach CALLAIR directly
Office
CALLAIR SASU
6 Rue d'Armaillé
75017 Paris
France
General
contact@callair.ai
Response within one business day.
Privacy
privacy@callair.ai
For privacy and GDPR requests.
Request your AI Readiness Assessment
Tell us about your organization and we will follow up with a scoping proposal.