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The CXaiS Institute

 

The authority on operational AI readiness for the enterprise.

Most enterprise AI fails before it reaches the people it was built for. Not on the technology, on the readiness. The Institute publishes the research and frameworks leaders use to get ready before they buy.
Insight Papers
The series
 
Four papers that build the case, dimension by dimension. Free to read online. No forms, no gates.
INSIGHT PAPER 01
Operational AI Readiness
Why enterprise AI fails before implementation, and how leaders build the foundation for measurable value. Sets out the six dimensions and the readiness maturity model.
By Rachel Lane
INSIGHT PAPER 02
Workflow Cartography
Why you cannot automate a workflow you have only documented, and how leaders map the process that actually runs, including the parts no one writes down.
By Rachel Lane
INSIGHT PAPER 03
Data Readiness
Building the data foundation for enterprise AI. What good enough means per workflow, and why governance and traceability decide whether outputs can be trusted.
Forthcoming
INSIGHT PAPER 04
The Value at Stake
Measuring the commercial impact of AI. Expressing readiness in the language the board already funds, before the build starts, not reconstructed afterwards.
Forthcoming
The flagship
Enterprise AI Readiness Benchmark
The annual index. The six dimensions, scored across real organisations by sector, turning the framework into the industry standard for AI readiness.
Coming 2027 →
Rachel Lane, Founder of CXaiS
Rachel Lane
FOUNDER, CXaiS
The practitioner behind the framework
Research you can act on, not research you just read.
 
Fifteen years designing and delivering CX technology programmes for some of the world's largest brands. Rachel has been inside enough enterprise deployments to know what it looks like when they go wrong, the frantic calls six weeks post go-live, the vendor blame game, the board presentation where no one can explain why the numbers are not moving.
The CXaiS Institute exists to fix what happens before go-live. Every Insight Paper is authored by a practitioner who has run these programmes, not a junior analyst following a template. That is the difference between research you read and research you can act on.
Rachel Lane   Founder, CXaiS · Author of the Insight Paper series
The framework
Six dimensions of operational readiness
 
Each independently determines whether AI will perform in a given workflow. A programme can be strong on five and fail on the sixth.
01
Data Quality
Is the data fit, traceable, and governed for the decision it supports?
02
Process Maturity
Is the workflow understood as it actually runs, not as mapped?
03
Channel Architecture
Does context survive as the customer moves across channels?
04
Organisational Change
Is ownership named and the operating model ready to change?
05
Use-Case Prioritisation
Is the portfolio ranked on value against complexity, with a defensible sequence?
06
Commercial Alignment
Is the return expressed in the language the board already funds?
The CXaiS Institute newsletter
One insight, every Friday.
One page. One idea worth thinking about before your next AI decision. No selling, just the thinking.
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