EnterpriseCX.ai unifies your CRM, support, product, and voice-of-customer data into a journey map, quantified insights, and an autonomous agent — the work of a CX analytics team, run by one leader in minutes.
From the customer's journey down to a single record — with every number computed from your data and every claim traceable to its source.
The AI maps your customer journey across stages — touchpoints, pain points, and opportunities — tailored to your industry and adapted to your actual data, not a generic template.
See what customers felt (NPS, CSAT, complaints) next to what your organization changed — People, Product, Process, and Technology from CRM, JIRA, and Marketing — on one timeline per stage. Prove which internal investments actually moved the customer.
Themes, recommendations, and risks — each tagged with the journey stage it hits, framed by operational lever, and quantified in dollars with the arithmetic shown. Benchmarked against published industry NPS norms, sources cited.
Distinct archetypes with real computed behavior — transactions per month, transaction mix, support load, and channels used — pulled from the actual records for each segment, not invented.
Model a change before you make it. Ask “what if we discontinued this product?” — the tool computes the real footprint and projects the customer and P&L impact, with assumptions and offsetting costs made explicit.
An always-on agent that computes anomalies from your data — complaint spikes, NPS drops, at-risk cohorts — drafts the action for each, and runs routine work via playbooks you define, with human approval for anything sensitive.
No signup, no setup. The demo opens on real sample data with the journey, insights, deck, and watchtower already built.