What it is. Felix is a conversational AI module that appears at the moment a member redeems points inside any loyalty or rewards programme. It opens with a question calibrated to that member's history, holds a short warm dialogue, and closes with a personalised reward — sometimes offered directly, sometimes revealed through a tap-to-unveil mechanic.
How it's integrated. Felix drops into the partner's existing app or web experience as a conversational overlay at the redemption moment. It reads member history through an API (balance, threshold, cadence, category pattern), runs the Syntacy Analyzer Engine on each reply, and writes structured preference data back to the partner's CRM. Brand voice, reward economics, and appearance frequency are all partner-controlled.
Why we built it. Loyalty programmes compete on cashback until they stop being programmes at all. Felix moves the battleground from rate to relationship. Every conversation yields two compounding assets: behavioural signal that increases the accuracy of future curation, and a moment of genuine recognition that materially extends member lifetime value. The chat isn't the cost. The chat is the product.
Felix is not a list of features. It's a single movement, performed in three parts. The chat opens with a question that already knows the member. It listens, scores, and responds in real time. It rewards generously, withdraws gracefully, and never repeats itself the same way twice. Here's what each part is doing, and why.
Most loyalty bots interrogate. Felix talks. Each question is calibrated to what the brand already knows about the member, and each response acknowledges what the member just said before moving on.
Felix reads the member's history before saying a word. Balance, redemption threshold, cadence, category pattern. The first question lands as if a host had read the file — never generic, always specific to tonight.
Every reply produces a brief reflection before the next question. Felix quotes the member back to themselves. That single move — being heard before being asked again — is what separates dialogue from interrogation.
While the conversation flows, two parameters score in the background. Insight depth: how much the member is willing to share. Tone: how warm the language reads. The composite is hidden from the member but determines everything that comes next.
Longer, more considered answers lift insight. Warm, cooperative language lifts tone. Short or neutral replies hold steady. The member who shares more, gracefully, ends up with more — and they never know that's why.
Hostile language lowers tone and is flagged separately. Past a threshold, Felix politely ends the chat. "Fair enough — enjoy your evening." No reward. No passive-aggressive hold. Boundary-setting is the product, not a workaround.
Felix never trades reward for data. Felix gives reward as a thank-you for the conversation. The form of the reward changes — sometimes a clean menu of options, sometimes a tap-to-reveal of three covered tiles. The member can't predict which, and the small surprise of the reveal carries real behavioural weight on its own.
High scores unlock the deepest tier — three reward options, often gamified. Mid scores get a smaller menu. Low scores close warmly with no reward, no friction. The member always leaves on good terms, but only the generous conversations are met with generosity in return.
The behaviours above describe what the member experiences. These two principles describe what makes the system durable for the brand. Without them, Felix becomes a survey bot members learn to game. With them, the mechanic compounds value over time.
Felix doesn't appear at every redemption. The chance is randomly allocated per session, never disclosed in advance. Members can't predict it, which means they can't game it.
The composite score and five behavioural axes are never shown to the member. Only the conversation and the reward are visible. Underneath, a structured preference record flows back to the partner's CRM.
Adds new venues to the roster, negotiates terms with existing ones.
Decides which 15–20 experiences appear in next month's drop.
Owns lifetime value, churn, and the loyalty programme structure.
If Felix is the retention half of the Syntacy stack, Sid is the acquisition half — applied where blanket voucher codes currently leak margin.
Brands burn millions on generic 10%-off codes that hit everyone indiscriminately — the bargain-hunter who'd never return, alongside the genuinely aligned buyer whose loyalty could have been cultivated. Sid overhauls that model. At the purchase or signup moment, it runs a short qualification chat. Buyers who share context and whose signals align with the product — cultural literacy for opera tickets, food fluency for a restaurant booking, craft interest for a pottery class — unlock deeper rewards. The rest pay list price, warmly.
Same five-axis Analyzer Engine underneath. Same dialogic register. Different job: Sid qualifies. Felix cultivates. Together they replace blanket discounting with a loyalty economy that rewards alignment rather than extraction.