Control phone automation from trunk to outcome
RocketAiFlow is a customer-managed Voice AI platform for PBX-native inbound routing, outbound AI dialer workflows, custom API functions, provider choice, and operational visibility.
Investor view
Not just a voice bot builder
- Deploy on-premise or inside a customer-managed environment
- Connect SIP, PBX, and Asterisk-based call paths validated during setup
- Run inbound AI routing and outbound AI dialer workflows from one platform
- Trigger CRM, calendar, helpdesk, ERP, webhook, backend database, internal API, or external SaaS API actions
- Track calls, outcomes, call records, logs, traces, and operating metrics
The platform controls the operational workflow around the call, not only the AI conversation.
The core operating layers RocketAiFlow brings together
The product combines the pieces normally split across telephony, AI tooling, dialer logic, business integrations, and monitoring.
Telephony control
Connect selected SIP/PBX paths, trunks, endpoints, and Asterisk-based routing with explicit setup validation.
AI agent runtime
Configure voice agents with goals, rules, provider choices, dynamic context, and handoff behavior.
Outbound AI dialer
Run outbound campaigns with lists, priorities, call rhythm, concurrency limits, retries, callbacks, outcomes, and records.
Business API functions
Let calls read or update CRM, calendar, helpdesk, ERP, webhooks, database data through a backend, internal APIs, or external API services.
Built for companies and integrators that need control, not a hosted black box
RocketAiFlow is positioned for environments where phone automation must fit existing infrastructure, data rules, provider preferences, and operational visibility requirements.
Customer-managed deployment
Run the platform where infrastructure, network boundaries, provider accounts, access, and data scope can be controlled.
Provider flexibility
Choose STT, TTS, LLM, voice, and telephony providers according to workflow, cost, latency, and deployment constraints.
Operational visibility
Use dashboards, logs, traces, metrics, call history, transcripts, and optional recordings to understand what is happening live.
Phone workflows that become controllable AI operations
Start with one validated path, then expand across more workflows, teams, integrations, and volume.
Inbound AI routing
Route selected PBX or SIP call paths to AI agents for triage, qualification, intake, overflow, or first-line handling.
Outbound dialer campaigns
Call lists with controlled rhythm, active-call limits, retries, callback scheduling, contact priority, outcomes, and post-call review.
API-connected actions
Check availability, update records, create tickets, save lead data, reschedule contacts, or trigger workflows through internal or external APIs.
Operational monitoring
Review telephony health, endpoint status, campaign movement, call records, logs, traces, and runtime metrics.
A practical path from phone process to live AI workflow
The rollout starts with one concrete workflow, then connects telephony, agent behavior, business systems, and monitoring before scale.
Choose the first workflow
Select the initial inbound route, outbound campaign, lead qualification flow, callback process, or API-driven action.
Connect the operating stack
Map SIP/PBX paths, AI providers, agent settings, custom fields, and the APIs needed by the workflow.
Validate dialer execution
Run with defined call rhythm, concurrency, callback rules, handoff paths, data scope, and outcome tracking.
Monitor and expand
Use operational signals to improve the workflow before increasing volume, teams, routes, or integrations.
Map your first Voice AI operating workflow
Request a demo to review your SIP/PBX path, first inbound or outbound workflow, API functions, provider stack, and monitoring requirements.