Oct 2026Release log4 October 2026
This month the René Engine learned from more than 1,300 researched journeys across 52 markets, and eight industries reached Mature, including the new Events & Venues industry. The engine now recognises far more in each journey, builds journeys from what several researched journeys agree on, and the Journey Vault was rebuilt around the research. The Rituals engine was rebuilt too: it picks where rituals go from the journey data, and checks every ritual against 15 rules in code before it can go Live.
Industry research9 changes
- —Added the Events & Venues industry (stadiums, arenas, concert halls, festivals, exhibitions and promoters) and enriched it with 210 researched journeys across 34 markets. The research covers more than 160 events, venues and organisers, including the Formula 1 Abu Dhabi and Singapore Grands Prix, Six Kings Slam, the Australian Open, Roland-Garros, Oktoberfest, Rock in Rio, CES, GITEX GLOBAL, The O2, Festival de Cannes and the Edinburgh Festival Fringe, and about 1,950 entry, ticketing and venue rules such as passport and invitation-letter requirements, re-entry and bag policies, refund terms and local entertainment regulations.
- —Airlines: 150 researched journeys across 25 markets and 43 carriers, including Emirates, Etihad, Air India, Delta, Qantas, British Airways, Singapore Airlines, Turkish Airlines and LATAM, with 1,194 market rules covering passenger rights and aviation authorities (UK261, US DOT, Brazil's ANAC, India's DGCA), infants and unaccompanied minors, special baggage and connections.
- —Automotive: 150 researched journeys across 32 markets and 110 brands, dealers and services, including Toyota, Hyundai, Tesla, BYD, Ford, CarMax, Cars24, Auto Trader and ADAC, with 1,894 market rules on compulsory motor insurance, technical inspections, registration and ownership-transfer deadlines, Singapore COE renewal, Saudi Absher transfers and warranties.
- —Banking: 150 researched journeys across 39 markets and 114 banks, including State Bank of India, JPMorgan Chase, Lloyds, NatWest, Commonwealth Bank, DBS, Nubank and ADCB, with 1,368 market rules such as the US Fair Credit Reporting and Electronic Fund Transfer Acts, Brazil's Pix rules, the RBI Ombudsman Scheme, Germany's P-Konto and Canada's OBSI.
- —E-commerce: 150 researched journeys across 25 markets and 20 retailers and marketplaces, including Amazon, noon, ASOS, Jumia, Mercado Libre, Trendyol, Walmart, Coupang, eBay, JD.com, Flipkart, IKEA and Zalando, covering the EU 14-day withdrawal right, UK cancellation rights, the US FTC 30-day shipping rule, the UAE e-commerce law, Brazil's 7-day regret period, Australian consumer guarantees and Nigeria's FCCPC complaint route.
- —Car rental: 150 researched journeys across 25 markets, including Avis, SIXT, Enterprise, Zipcar, Turo and SOCAR, plus car-hire consumer guidance from the European Commission, GOV.UK, France's DGCCRF, Australia's ACCC, the US FTC, India and Canada.
- —Beauty salons: 150 researched journeys across 25 markets and 28 salon brands and booking platforms, including Fresha, Planity, Ulta Beauty, TONI&GUY, Naturals, Jean Yip and Just Cuts, with cosmetics safety, price display and consumer complaint rules.
- —Business clubs: 150 researched journeys across 25 markets, covering chambers of commerce, peer forums, referral networks, angel networks and members' workspaces such as EO, YPO, Vistage, BNI, Regus, Dubai Chambers and the ICC World Chambers Federation.
- —A further 58 researched journeys across 18 industries and 14 markets, led by SaaS, government services and retail.
Industry maturity3 changes
- —Eight industries reached Mature: Banking (94), Airlines, Automotive and Beauty salons (92), Events & Venues and E-commerce (90), Car rental (89) and Business clubs (87).
- —In total the engine has now learned from 1,318 researched journeys across 52 markets, with about 6,700 market-specific rules and regulations.
- —The Journey Vault now organises Events & Venues into 28 journey types, Automotive into 23 and Airlines into 21, each reviewed for every market it covers.
What the engine learns from research7 changes
- —Every stage is now placed in its industry's standard phases, for example 19 for Events & Venues, 15 for Car rental and 13 for E-commerce, so journeys from different sources line up.
- —Customer types are now industry-specific, such as first-time buyer, EV first adopter or company driver in Automotive, season-ticket holder or exhibitor in Events, and subscription or cross-border buyer in E-commerce. People with accessibility or medical needs are only matched when a journey asks for them.
- —Pain points are now tagged with one of 32 standard friction types, such as waiting, unclear pricing, wayfinding or crowding, while the researcher's own wording is kept.
- —Each touchpoint now records what kind it is (person, device, place, item or digital) and who runs it (the brand, a partner, a third party or the customer).
- —The engine now also learns KPIs and measurements, behavioural levers, stage durations, exit signals, the reasons behind each emotion score, and the official sources cited for each rule.
- —Market rules are now learned with their country, their scope (law, regulator, brand policy or event) and the date they were checked.
- —Wording repeated across many research files now counts once, and generic disclaimers and placeholder text are left out.
Rituals engine10 changes
- —Rebuilt the Rituals engine. Before, one AI pass wrote a whole ritual plan, and the only check was that each ritual pointed at a real stage and touchpoint. Now a ritual goes through seven stages: read the journey, choose where rituals belong, classify each one, brief the writer, write, critique and revise. Choosing, classifying, critiquing and the decision to go Live are worked out in code, not by the AI.
- —Choosing where rituals go is now worked out from the journey itself, not left to the AI. Every touchpoint is scored on how bad it feels (EXIS), how severe its pain points are, how much it matters, whether the brand controls it and how many customers it reaches. Rituals then fill six slots in order: up to three top valleys, recovery for the steps most likely to fail, a bridge for low points the brand doesn't run, plus opening, closing and the core product. Pain points with the same root cause share one ritual, and moments that already go well are left alone.
- —Each ritual is written as a full working brief: a trigger and who it's for, numbered steps with who does them, how long they take and what to say, an example line under 20 words for each must-say step, must-do and must-never rules, a minimum version for busy moments, variants for each archetype, training or a system handoff, how it's measured, and a Yes/No checklist for auditors. System rituals get their states, a time limit and acceptance criteria instead.
- —Every ritual is checked against 15 rules written in code before it can be saved, so the AI never grades its own work. The rules include: the choreography is complete, every step is done by someone who is actually there, each step fits its time budget, every must-say step has an example line in every language, emotions and principles come from fixed lists (25 emotions, 18 behavioural principles), and auditors get at least three Yes/No checklist items tied to steps.
- —The engine no longer makes things up. Any price, fee, weight, percentage or time limit that isn't in the client's input pack fails the check. So do placeholders like "[brand name]" or "the airline", and personal details such as seat numbers, passport numbers or booking references.
- —Those 15 rules add up to five tests every ritual has to pass: Repeatable, Ownable (a competitor couldn't run it unchanged tomorrow), Trainable (a frontline employee can deliver it after one briefing), Observable (an auditor can score it Yes/No) and Measurable (it has a baseline, a target and a metric).
- —If a ritual fails, it goes back to the writer with the reasons, up to twice. Anything still failing is saved with its reasons and stays at Draft. A ritual can only go Live once every check passes and the client has confirmed every assumption the engine had to make. Edits are checked again straight away.
- —Clients can give the engine an input pack: their brand signature, real figures, offers and policies, the roles on the floor and the languages they serve. This is the only source the engine may take facts from.
- —Added the Ritual Studio: a ritual map over the journey, a list, and Design, Pocket card, Guide and Audit views for each ritual, plus a critic panel showing every check and the five tests, an edit dialog, and status from Draft through Pilot to Live and Retired.
- —Rituals are written in English and Arabic, and any language the journey is already translated into can be added. Example lines and system copy are translated, and the language check covers each of them. The downloadable PDF is now a full written brief with a ritual map, contents and every section of every ritual, with searchable text in every language.
Journey engine5 changes
- —Changed how engine-built journeys are made: instead of copying the single nearest researched journey, the engine combines several close matches and keeps what they agree on.
- —The engine builds a journey only when its research covers enough of the request. Otherwise René AI writes it from scratch, informed by the same market rules.
- —Every market rule now records when it was last checked. Rules past their shelf life are softened or dropped, rules for past events are used only as examples, and rules are re-checked against their official sources every week.
- —Stages now use each industry's standard phase names, and wording repeated across many research files counts once.
- —Channels and touchpoints are now separate: the channel is how a step happens and the touchpoint is who or what the customer deals with, for example "Website (Emirates)" or "Gate agent".
Journey Vault5 changes
- —Upgraded the spine of the René Engine: researched journeys are now filed into the Journey Vault as journey types, and each type's phases are written from the journeys filed under it.
- —Airlines grew from 3 to 21 journey types, 68 phases and 246 stages, Automotive from 3 to 23 types, 84 phases and 322 stages, and Events & Venues now has 28 journey types.
- —Every phase is now reviewed for each market it covers, using the rules learned for that country. 27 markets were reviewed for Airlines and Automotive.
- —Added 22 new journey templates and 11 new Studio archetypes built from the research.
- —When a journey is built, the Vault now picks the journey type by the words that are most specific to the request, so common words like "car" or "flight" no longer pull in the wrong type.