AI outbound campaigns with live control and governed inbound AI
RocketAiFlow is in early access: we select pilot partners to validate real phone workflows with AI voice agents. Each call can start with contact context, custom fields, priority, and campaign goal, generating outcomes, data, transcripts, recordings when enabled, and live monitoring.
- AI outbound campaigns with live control and intelligent call rhythm
- Scheduling by days, time windows, time zone, and exact minute for each contact
- Configurable automatic callbacks after no answer, busy, or failed calls
- Contact priority, list upload, and custom fields
- Inbound AI with simultaneous conversation limits handled by AI agents
- Post-call data, outcomes, transcripts, and operational history
Automate outbound campaigns and inbound calls with AI voice agents
Rocket AI Flow turns repetitive phone work into measurable AI capacity. It is outbound-first, inbound-ready, and in early access: we are looking for pilot partners to validate real workflows with AI outbound campaigns, repetitive inbound, saved call data, and APIs configurable from the interface.
AI outbound campaigns with live control
Launch AI voice campaigns with intelligent call rhythm, list upload, operating limits, and live monitoring of active calls, outcomes, and performance.
Scheduling and automatic callbacks
Configure campaign duration, active days, time windows, time zone, and callback attempts. For each contact you can also define the exact day, hour, and minute when the call should happen.
Priority and scheduled calls
Assign priority to the most important contacts and schedule calls on exact dates, hours, and minutes for follow-up, appointments, and targeted callbacks.
Inbound AI with controlled capacity
Handle incoming calls with AI voice agents and limit the maximum number of simultaneous conversations to keep control over load and quality.
Call data, transcripts, and recordings
Each call can generate outcomes, collected data, timing, transcripts, recordings when enabled, and operational history, so the team can review, measure, and improve every campaign or inbound flow.
APIs and connected business systems
Configure endpoints, parameters, and API rules from the interface to connect CRM, business systems, calendars, helpdesk, and internal systems. Each call can pass the AI agent contact data, priority, campaign goal, and custom fields useful to the workflow.
Configure campaigns, AI agents, and voice automations from one platform
Upload contact lists, set automatic callbacks, priorities, days, time windows and time zones, configure inbound and outbound agents, connect company APIs, and monitor every call in real time.
Upload lists and define the campaign
Import contacts and define priority, duration, active days, time windows, time zone, automatic callbacks, and outbound campaign goals.
Configure the AI agent and operating rules
Define conversation, call goal, behavior after no answer, human handoff, and simultaneous conversation limits for inbound and outbound.
Connect APIs and business systems
Configure endpoints, parameters, data to send, and rules to retrieve information or complete actions in CRM, calendars, business systems, and helpdesk tools.
Go live and monitor everything in real time
Control active calls, call rhythm, outcomes, performance, saturation, recordings, transcripts, and history to improve every campaign and inbound flow.
Four reasons to choose RocketAiFlow
RocketAiFlow turns repetitive phone work into measurable AI capacity. It is not just an AI voice agent: it is a platform for managing outbound campaigns, governed inbound AI, contact context, custom fields, post-call data, APIs, and live operational control.
AI outbound campaigns with live control
Manage AI outbound campaigns with intelligent call rhythm, automatic callbacks, scheduling, priority, contact lists, and live monitoring of outcomes and load.
Governable inbound AI
Automate repetitive incoming calls and limit simultaneous conversations handled by AI agents to control cost, quality, and operational capacity.
Call data always available
Each call can produce outcomes, collected data, transcripts, recordings when enabled, timing, and operational history for analysis, quality control, and optimization.
APIs configurable from the interface
Connect CRM, business systems, helpdesk, calendars, and internal systems by configuring APIs and endpoints directly from the platform.
Where Rocket AI Flow has the highest impact
The solution is built for call centers, BPOs, and operations teams that want to automate outbound calls, manage repetitive inbound, reduce manual work, and keep operational control.
BPO & Call Centers
Automate tier-1 traffic, overflow, campaign support, and follow-up workflows while keeping agents focused on complex conversations.
Outcome: less operating load, more handled calls, and better agent focus.
Explore industryTechnology / SaaS
Qualify leads, book demos, support onboarding questions, and route recurring customer calls without losing context.
Outcome: faster qualification, cleaner handoff, and less manual triage.
Explore industryRetail
Automate order status, store information, FAQs, returns-related requests, and after-hours coverage.
Outcome: more consistent service without scaling headcount one-to-one.
Explore industryWe are selecting the first pilot partners
We are looking for call centers, BPOs, and operations teams with real phone workflows to automate: appointment setting, lead qualification, reminders, surveys, unreached-contact recovery, inbound overflow, or first-line support.
Pilots on real outbound campaigns
Validation on real campaigns with lists, priorities, operating limits, and measurable goals.
Inbound AI for repetitive calls and overflow
Operational pilots on repetitive incoming calls, volume peaks, and first-line support.
Automatic callbacks and minute-level scheduling
Configure callback attempts and calls scheduled on the exact day, hour, and minute.
Live monitoring of calls, outcomes, and performance
Observe what happens during the operational pilot, not only at the end of the day.
Transcripts, recordings, and saved call data
Review every real workflow with post-call data useful for validation and improvement.
AI outbound campaigns with live control
RocketAiFlow lets teams manage AI outbound campaigns with intelligent call rhythm while monitoring active calls, outcomes, saturation, automatic callbacks, and performance live. Each call can generate post-call data, transcripts, recordings when enabled, and operational history useful for improving the workflow.
Intelligent call rhythm
Control outbound call rhythm and adapt volume to operational capacity and campaign goals.
Precise call scheduling
Configure campaign duration, active days, time windows, time zone, and calls scheduled on exact date, hour, and minute for each contact.
Automatic callbacks and priority
Define attempt count, rules after no answer, busy, or failed calls, and priority for the most important contacts.
Live outcomes and performance
Monitor answered calls, no answers, busy calls, failed calls, timing, and campaign trends as they happen.
History, transcripts, and recordings
Review outcomes, collected data, transcripts, recordings when enabled, timing, operational history, and details useful for understanding what to improve after each campaign.
Internal high-load tests
In internal tests with real phone traffic in a controlled environment, RocketAiFlow handled up to 300 simultaneous calls on an 8 GB RAM machine, with startup peaks of up to 100 call attempts per second and list loading up to 1 million contacts. 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.
Operational demo on request
We show RocketAiFlow in a controlled environment on a real or realistic workflow: contact list, campaign configuration, minute-level scheduling, automatic callbacks, priorities, live monitoring, call data, transcripts, recordings when enabled, and APIs.
Contact list upload
We show how to import a list and prepare the outbound workflow in a controlled environment.
Campaign and AI agent configuration
We configure goal, agent behavior, operating rules, and data to collect.
Scheduling by day, hour, and minute
We define when to call contacts with minute-level scheduling.
Automatic callbacks and priority
We show callback attempts, rules after no answer, and contact priority.
Controlled campaign start
We start the campaign in a guided way, with agreed scope before the session.
Live monitoring of calls and outcomes
We follow active calls, outcomes, saturation, trends, and operational signals.
Transcripts and recordings when enabled
We review post-call data, transcripts, and recordings only when included in scope.
APIs and operator escalation
We show how to define escalation rules and, when included in the pilot scope, deliver context data via API, webhook, or dashboard.
Replace repetitive phone capacity with AI voice agents
RocketAiFlow is designed to reduce human load on repetitive calls: AI outbound campaigns, automatic callbacks, reminders, lead qualification, surveys, and first-line inbound. Human operators stay focused on complex cases, negotiations, and high-value decisions. In pilots, we measure automated calls, avoided human interventions, saved operating hours, list coverage, cost per completed call, and cost per useful outcome.
Human hours saved
Measure how much operating time is freed from repetitive calls, callbacks, reminders, qualification, and first-line inbound.
Human interventions avoided
Measure how many conversations are completed by the AI agent without operator handoff.
Cost per useful outcome
Evaluate the cost of appointments, qualified leads, confirmations, surveys, completed callbacks, or other useful outcomes compared with the manual process.
Scalable operating capacity
Increase volume handled by AI agents without increasing the human team proportionally, while keeping control over outcomes, post-call data, and operational history.
Common questions about outbound AI, inbound AI, and operational control
Practical answers on AI outbound campaigns, scheduling, automatic callbacks, contact priority, simultaneous conversations handled by AI agents, recordings, transcripts, APIs, live monitoring, and pilots.
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.
Apply as a RocketAiFlow pilot partner
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.