High volume, thin margin per conversation
Duplicate invoices, application status and installment questions arrive by the thousand. Each one costs an agent, and none of them should.
High volume on official WhatsApp, centralized and exportable history, AI that answers what policy allows, and a health view of your partner and merchant book.
For:Fintechs and paymentsCollections and credit recoveryLending and banking agents
Duplicate invoices, application status and installment questions arrive by the thousand. Each one costs an agent, and none of them should.
Audit asks who said what, when, and with which authorization. A conversation on an agent's phone cannot answer that.
Merchants, partners and agents generate revenue, but nobody watches a volume drop until the partner has already moved.
Sales, support, Customer Success and AI agents share one data layer and one history. What changes per sector is the queues, the journeys, the playbooks and the AI's rules.
Omnichannel inbox on the official WhatsApp API, with queues by product, SLAs, full history and export at any time.
Resolves duplicate invoices, status and frequent questions by integrating with your systems. Hands over to a human by policy or by confidence.
Merchants, partners and agents as accounts, with a health score by transaction volume, incidents and relationship.
Proposal pipeline with native WhatsApp and an AI SDR qualifying inbound, all logged on the customer's account.
Each item below is a platform configuration, described in the present tense. It is not a promise of results: it is what the rule does when the trigger fires.
The AI agent queries the system over API and answers on official WhatsApp; outside policy, it hands over with context.
Collection cadence over the official API; no reply in time and the conversation lands in the human queue with history.
Onboarding journey with documents, training and first operation, each step with an owner.
The partner's health score weighs the financial dimension and opens a contact task for the manager.
History filtered by customer, period and agent, exported with date and author.
Transactional NPS goes out on the same channel; detractors become a task, promoters enter the referral playbook.
Core banking, credit engine and collections systems connect over API and webhooks; the AI agent acts on them with per-tool permissions.
See all integrationsData processed under a declared legal basis, configurable retention and full export on the data subject's request.
Number approved by Meta, with no mirrored device and no browser extension.
Every conversation with author, date and channel, centralized and exportable, including over API.
Teams and queues separated by product; whoever handles collections does not see lending, and vice versa.
Intelligent customer management
A 30-minute demo with a specialist. Bring your support volume and your compliance rules.