Keep the customer — every capability

Brand voice consistency across every AI-generated output, at every location

Score every AI-generated output against your brand voice — auto-publish what is clearly on-brand, route the borderline cases to one batched review queue, send the rest back for a redraft.

Catch churn signals weeks before the cancel button

Usage decline, payment failures, support sentiment drops, NPS slides — caught in time to intervene with the right offer through the right channel.

Cluster the real cancellation reasons by location — and stop calling 60% of them 'other'

Per-location cancellation-reason clustering from free-text exit surveys, weighted by the LTV cohort of who actually walked away.

Every CS reply draft gated for HIPAA, FDA, FINRA, and brand voice — before the agent sees it

AI-drafted CS replies that have already passed the voice check, the claims allowlist, and the per-state compliance overlay — so your agent reviews, not rewrites.

Loyalty integration that works across every banner you own

A 4-banner portfolio with 5 different loyalty platforms is normal. Keeping the events in sync across them is not. This makes it normal.

Marketing compliance for regulated multi-location operators — every output checked before it ships

Every AI-generated post, page, ad, and email checked against the regulatory rules that apply to your verticals and your states — before it goes live, not after.

Next best action for every member, across every location and banner

What should we say to this member, at this tier, who just did this thing, at this location? The answer changes constantly. We compute it continuously.

One master record per location — reconciled across every source, propagated everywhere automatically

One trusted record per location, reconciled across POS, Google Business Profile, Yext, HR, and your CMS — and when anything changes, every marketing surface updates automatically.

Per-member LTV that updates every month, per location

Every loyalty member has a current LTV — computed from real transactions, segmented by location and behavior, and ready for the CFO, the marketing team, and the LP letter.

Predict churn with the signals each location actually generates — clinic staff turnover, scheduling friction, insurance shift, competitor opening

Per-subscriber, per-location churn-risk scoring built from the signals that actually move retention in your business.

Predict loyalty tier transitions, both up and down

Every loyalty member has a probability of moving up a tier or falling down — scored monthly, with interventions firing before the activity drops.

Product knowledge retrieval for multi-location support teams

Your reps ask one question. They get the right answer for that customer, that location, that product, in your brand voice — in under two seconds.

Reply suggestions for multi-location support teams

Every ticket comes with three to five reply drafts. Each one already reflects the customer, the product, the location, and your brand voice. Your rep picks one and ships.

Save flow that picks the right offer for each subscriber

Every subscriber who clicks cancel sees the two offers most likely to save them — based on their tenure, their usage, their lifetime value, and the reasons people like them usually leave.

Save offer library that stays current and compliant

Every save offer versioned, eligibility-gated, brand-voice-checked, and ready to be picked by the scoring model — without a retention manager triaging a spreadsheet.

Sentiment and intent classification for support teams

Every incoming ticket sorted by how the customer feels and what they want — routed to the right rep, escalated when needed, in your brand voice when answered.

Signal-driven loyalty tier transitions

Promote, hold, or step a loyalty member down at the moment the data says — not at the end of the quarter when the spreadsheet runs.

Stop letting your spa offer collide with your gym offer in the same customer's inbox

Loyalty offers, earns, and redemptions coordinated across every banner — with portfolio-tier recognition for members who belong to more than one — generated from your canonical customer data instead of fighting across four separate loyalty stacks.

Stop spending four to six minutes assembling customer history on every call

Per-location customer history assembled in one call from your canonical data — with PHI redacted, lifetime-value tier attached, and the right per-location service mix already on screen.

Stop waiting two weeks for the quarterly scorecard spreadsheet

FCR, AHT, and CSAT rolled up per location and per vertical against your canonical operations data — with HIPAA-safe summaries, lifetime-value segmentation, and per-banner views.

Subscriber lifecycle cadence for subscription operators

Each subscriber gets the right amount of email, SMS, and push for where they are in the journey — onboarding, engaged, at-risk, winback — with the right offers and the right send rules.