The AIX Council is the advisory body of the AIX World programme — bringing together invited specialists from academia, practice and sector expertise to guide evaluation quality, case-study credibility and programme standards.
The AIX Council exists because the quality of evaluation depends on the quality of the people guiding it. The Council provides independent oversight — ensuring the standards by which AI-led customer experience is assessed remain credible, rigorous and free from commercial influence.
An advisory body of invited specialists — academics, practitioners and sector experts — providing independent guidance on evaluation standards, case-study credibility and the intellectual agenda of the AIX programme.
The annual recognition cycle through which independently verified AI-CX outcomes are honoured. Candidates are identified through AIX Research. Council advisors guide the standards by which evaluation is conducted.
The annual one-day forum at which the year's most significant AI-CX case studies are presented. Council advisors contribute to the Summit as discussion leaders and framing speakers.
Council advisors are invited based on expertise and independence. They do not represent organisations with a financial stake in the programme's outcomes. Their role is to guide, challenge and strengthen the quality of evaluation.
The AIX Council is currently under formation. Advisors are being identified and approached. Names and institutional affiliations will be published on this page once invitations have been accepted and confirmed.
Contribute to the principles and criteria by which AI-led customer experience deployments are assessed — ensuring rigour, consistency and independence across all categories.
Review the evidence quality of submitted deployments. Provide guidance on what constitutes verifiable, benchmark-worthy AI-CX outcomes that go beyond marketing claims.
Participate in the AIX Summit as discussion contributors and framing speakers — providing the intellectual anchor for the annual live forum alongside award winners' case studies.
Help shape the questions that AIX Research pursues — identifying the developments in AI-led customer experience that deserve sustained, structured attention.
The Council will include a small number of invited specialists across four profiles. Advisors are approached directly — there is no open application process.
Advisor names and institutional affiliations will be listed on this page once invitations have been accepted. We do not publish names in advance of confirmation.
Professors and researchers with substantive work in AI, customer experience, consumer behaviour, service design, responsible AI or related disciplines. Independence is the primary criterion — not institutional prestige.
Executives and professionals with direct experience of deploying AI at the customer interface — in industry, not in technology sales or vendor roles. Operational credibility matters more than seniority of title.
Professionals with expertise in AI governance, consumer protection, responsible AI frameworks or sector-specific regulation. Their perspective ensures evaluation standards anticipate the direction of regulatory expectations.
Individuals with a published or practitioner track record in AI and customer experience — book authors, research analysts or writers who bring structured thinking to emerging practice.
Every industry in which AI-led customer experience is a board-level priority — across the five founding sectors and beyond.
Fraud prevention, conversational banking, personalised advisory, onboarding, lending, KYC.
Claims AI, underwriting automation, policyholder experience, proactive customer communication.
Service automation, churn prediction, next-best-action, network experience personalisation.
Recommendation engines, conversational commerce, visual search, post-purchase experience.
Patient-experience AI, diagnostic support, pharma customer engagement, clinical communication.
Itinerary personalisation, in-stay or in-flight experience, dynamic recovery, loyalty AI.
Citizen-experience AI, multilingual services, accessibility, benefits navigation.
Vehicles, ride-hail, autonomous delivery, household robotics, smart appliances, embodied AI.
Content recommendation, streaming personalisation, gaming companions, creator tools.
Smart meter experience, outage communication AI, personalised energy management, sustainability advisory.
The AIX Awards evaluation is built on independently verified AI-CX outcomes — not self-reported claims. The Council's advisors guide the standards that make this possible.
Request ConsiderationAward candidates are identified through AIX Research — a continuous-monitoring process that tracks AI-CX deployments globally across all covered industries.
Identified organisations are invited to provide structured evidence — deployment scope, customer outcomes, governance controls and benchmark metrics.
Submissions are evaluated by an independent process on verified impact, deployment quality and real-world scale — not on marketing narrative or presentation quality.
AIX Council advisors provide structural guidance on the evaluation standards and the principles by which recognition is framed. Their role is oversight — not commercial judgement.
Recognised organisations present their verified case studies at the AIX Summit — in person, by video or through poster exhibition.
AIX recognition is independently assessed, permanently documented and commercially usable. It is not a trophy — it is a verified record.
Outcomes assessed through AIX Research — not self-reported, not vendor-nominated, not determined by submission quality alone.
Recognised organisations present their verified case study at the AIX Summit — in person, by video or through poster exhibition.
A structured, professionally produced case study record — usable with boards, regulators, commercial partners and talent markets.
Archived in the AIX Research record as the verified benchmark for AI-CX excellence in that industry and year.
Intelligence, evaluation, recognition and convening — running throughout the year.
Continuous tracking of AI-CX deployments globally, across all covered industries — the intelligence engine that feeds everything else.
Organisations identified through AIX Research are invited to submit structured evidence for consideration across industry categories.
Independent evaluation of submitted evidence. Council advisory oversight applied to standards and framing.
Recognised organisations are notified and invited to present at the AIX Summit. Case study documentation begins.
The annual live forum — case study presentations by recognised organisations, contributions from Council advisors, Awards recognition moment at close.
Verified case studies added to the AIX Research permanent record. Directory updated. The next research cycle begins.
The AIX Summit is a one-day forum at which the year's verified case studies are presented and recognised. Simple format. Credible room. Council advisors as the intellectual anchor.
About the SummitAward winners and shortlisted organisations present verified deployments — in person, by video, or through poster exhibition.
Invited advisors frame the discussion, synthesise cross-sector findings and contribute to the intellectual agenda of the day.
The Summit closes with the AIX Awards recognition moment — evidence-led, selective, formal. A single room for the year's most credible AI-CX work.
Inaugural edition. Invitation-led. In-person or virtual format confirmed once award winner participation is secured.
For Awards consideration, advisory council enquiries, Summit attendance or general programme questions.
For Awards consideration, advisory council enquiries or Summit attendance. Our team will respond within five working days.