Practical answers on use cases, pilot setup, provider flexibility, backup and recovery scope, live monitoring, handoff, integrations, and operational control with RocketAiFlow.
FAQ
A fuller set of answers covering workflow fit, guided pilot setup, backup and recovery planning, live visibility, troubleshooting support, integrations, escalation, and operational control.
RocketAiFlow is in early access: we are selecting pilot partners to validate AI outbound campaigns, repetitive inbound, automatic callbacks, precise call scheduling, contact priority, transcripts, recordings, and live monitoring on real workflows.
Yes. Operational demos are run on request in a controlled environment so we can show RocketAiFlow on a realistic workflow: contact list, campaign configuration, automatic callbacks, minute-level scheduling, live monitoring, call data, transcripts, recordings when enabled, and API integrations.
At this stage RocketAiFlow is available through guided pilots with pricing on request. The proposal depends on the workflow to validate, call volume, integrations, data to save, transcript or recording options, and the technical environment agreed with the customer. The model may include pilot setup, platform fee, and variable consumption.
RocketAiFlow is designed to validate real phone workflows with pilot partners: AI outbound campaigns, appointment setting, lead qualification, reminders, follow-up, surveys, unreached-contact recovery, inbound overflow, routing, data collection, and first-line support.
RocketAiFlow is outbound-first and inbound-ready. The outbound module supports campaign management, intelligent call rhythm, scheduling, automatic callbacks, contact priority, and live monitoring. The inbound module lets teams handle incoming calls with AI agents, simultaneous conversation limits, saved call data, transcripts, and recordings when enabled.
You can configure campaign duration, active days, time windows, time zone, maximum callback attempts, rules after no answer, list upload, exact date, hour, and minute for each contact, contact priority, intelligent call rhythm, and campaign operating limits.
While the campaign is running, you can monitor active calls, outcomes, answered calls, no answers, busy calls, failures, call rhythm trends, saturation, performance, and history. The team sees what is happening while the campaign is live, not only at the end of the day.
Yes. In internal tests with real phone traffic in a controlled environment, RocketAiFlow handled up to 300 simultaneous calls, with startup peaks of up to 100 call attempts per second and list loading up to 1 million contacts on an 8 GB RAM machine. These tests validate the technical base for high-volume outbound scenarios. Actual production performance depends on infrastructure, telephony, providers, configuration, recordings, transcripts, connected APIs, and campaign duration.
RocketAiFlow is in early access: we are selecting pilot partners to validate AI outbound campaigns, repetitive inbound, automatic callbacks, precise scheduling, contact priority, custom fields, post-call data, transcripts, recordings when enabled, and live monitoring on real workflows.