The platform for building, managing, and scaling AI voice agents
RocketAiFlow brings AI voice agents, API configuration from the interface, outbound campaigns, human handoff, and live operational monitoring into one platform for modern call centers and operations teams.
Platform pillars
Everything needed to manage outbound, inbound, data, and AI voice operations
- AI outbound campaigns with intelligent call rhythm, lists, priority, and operating limits
- Precise scheduling by day, time window, time zone, and exact minute for each contact
- Configurable automatic callbacks after no answer, busy, or failed calls
- Governed inbound AI for repetitive calls, overflow, and data collection
- APIs configurable from the interface for CRM, calendars, business systems, helpdesk, and internal tools
- Call history, data, transcripts, recordings when enabled, and live monitoring
Built for production call center workflows, not demo-only automation.
The six layers that turn a call center into an operational AI system
RocketAiFlow brings AI voice agents, campaign management, governed inbound, configurable APIs, call data, and live monitoring into one platform designed for real phone workflows.
Speech-to-speech engine
Use real-time AI voice conversations with lower latency and a more natural experience than multi-step voice pipelines.
Inbound AI and routing
Replace rigid phone flows, button paths, and rigid scripts with agents that understand caller intent.
APIs configured from the interface
Configure endpoints, parameters, and rules so the agent can retrieve data or complete actions without custom code.
Operational inbound
Automate routing, support, booking, reminders, status checks, and structured intake.
Outbound campaigns
Run campaigns with controlled call rhythm, active call limits, and live outcome visibility.
Control and lightweight infrastructure
Keep humans in the loop, monitor calls live, and deploy with a leaner operational model.
Beyond the dialer: live control, context, flexible providers, and AI agents
RocketAiFlow does more than generate calls. Each contact reaches the AI agent with context, custom fields, and priority while the campaign remains visible in real time.
Flexible AI and voice providers
Configure AI agents with different LLM, voice, and speech providers based on the pilot's technical scope.
Interface-based agent configuration
Define behavior, goals, rules, APIs, custom fields, and handoff from the interface, reducing custom code per campaign.
Low resource usage
RocketAiFlow is designed to reduce infrastructure complexity and resource consumption while preserving operational control.
How RocketAiFlow differs from common approaches
A category-level comparison that clarifies where RocketAiFlow focuses operational value.
Compared with a traditional dialer
A dialer generates calls. RocketAiFlow adds contact context, AI conversation, live monitoring, saved data, and post-call outcomes.
Compared with a simple voicebot
A simple voicebot handles one conversation. RocketAiFlow also manages lists, campaigns, priorities, callbacks, scheduling, monitoring, and history.
Compared with a generalist contact center
A generalist contact center covers many channels. RocketAiFlow focuses on AI phone campaigns and repetitive voice workflows.
Compared with a custom stack
A custom stack connects telephony, AI, CRM, dashboards, logs, and recordings manually. RocketAiFlow brings those layers into one configurable workflow.
From phone flow to operational AI agent
Start from the calls your team already manages, define the workflow, connect systems, and control when the AI acts or hands off to a person.
Workflow logic around business rules
Set how live calls should be answered, qualified, routed, escalated, or completed based on actual operational criteria.
Reusable steps across teams
Use the same structured logic for support, scheduling, lead handling, reminders, and internal escalation paths.
Clear exception paths
Account for edge cases, troubleshooting paths, and manual review needs so operations teams know where automation stops and people take over.
Built around measurable outcomes
Track whether a workflow resolved the call, routed correctly, booked successfully, or required a handoff.
Connect voice conversations to the tools behind the operation
The agent can call APIs configured from the interface, use the response during the conversation, and keep CRM, helpdesk, calendars, and internal tools aligned.
Telephony, SIP, and PBX environments
Support phone operations where routing, extensions, call management, and provider choice already need to work inside real infrastructure.
CRM and revenue systems
Push qualification data, caller context, and follow-up outcomes into the systems sales and operations teams already use.
Helpdesk and support tools
Carry call details into support workflows so triage and escalation are not isolated from the rest of service operations.
Scheduling, internal systems, and external APIs
Connect bookings, reminders, status checks, and custom workflow actions with the business logic that sits behind the phone call.
Configure how the agent speaks, acts, and escalates
Define conversation goals, API actions, business rules, and handoff criteria without turning every update into a custom development project.
Configure agents without custom engineering for every flow
Set behavior, goals, escalation rules, and workflow logic from the platform instead of rebuilding every change in code.
Define conversation goals and available actions
Decide how the agent should respond, what data it can request, and which business actions it can trigger.
Configure external APIs from the interface
Add endpoints, parameters, authentication context, fields, and rules so agents can call external systems during the conversation.
Use API responses inside the call
Let RocketAiFlow interpret the API result and use it to answer the customer, complete the action, or pass context to an operator.
Adapt actions to business scenarios
Support sales, support, routing, booking, reminders, status checks, and custom workflows from the same operating layer.
Lower overhead for custom logic
Connect voice workflows to business systems without turning every change into a heavyweight engineering project.
Scale outbound campaigns with call rhythm and live control
Control call rate, active call limits, campaign behavior, and post-call review so high-volume outbound stays governed.
Set calls per second with intent
Control outbound call rhythm so campaigns move at the right rate for your telephony environment, team readiness, and workflow goals.
Define maximum active calls per campaign
Keep concurrency aligned with operational limits by setting clear campaign-level ceilings instead of letting outbound execution run unchecked.
Scale high-volume operations without losing control
RocketAiFlow is designed for high call throughput and has been tested with approximately 300 concurrent calls on an 8 GB machine in internal conditions. Actual capacity depends on workflow design, provider stack, and pilot setup.
Review every call after execution
Use full call history to inspect outcomes, understand exceptions, and see how each interaction moved through the workflow after the call ends.
Inspect transcripts, recordings, and timing data
Review transcripts, recordings when enabled, conversation duration, ring time, and related timing detail so teams can investigate what happened in each conversation.
Keep post-call review inside the product
Post-call visibility should not depend on manual exports or separate tools. RocketAiFlow keeps execution control and review close to the workflow itself.
Bring AI voice agents into your real call center workflows
Request an operational demo to map rigid phone flows, inbound flows, outbound campaigns, APIs, and handoff rules into a practical RocketAiFlow rollout.