RingCentral Integration with Conversive - AI-Powered Integration Platform

Add RingCentral as a listed integration option in Conversive Integration Management Interface. Implement UI flow to initiate OAuth/SSO authorization with RingCentral, capture and securely store access tokens, and allow customers to configure integration parameters. Implement disconnect/revoke functionality that invalidates tokens, stops event ingestion, and updates integration status in UI. All UI elements follow existing Conversive design patterns and user experience standards.

Leverage Conversive's existing authentication framework to complete OAuth/SSO handshake with RingCentral. Store tokens securely using your current security infrastructure, refresh tokens as required, and handle expiry and revocation gracefully. No custom auth systems—fully integrated with your existing token management architecture.

Implement RingCentral webhook/API adapters to receive real-time call events. Normalize RingCentral event payloads into Conversive's standard event model for seamless processing. Support real-time processing and retry mechanisms for reliability. Core events supported: Missed call, Incoming call, Call completion and disposition. Event connector architecture aligns with your existing integration patterns.

Map RingCentral call events into Conversive's existing automation engine. Enable configurable triggers for customer notifications (missed call follow-ups), agent alerts (incoming call routing), surveys and follow-ups (post-call engagement), and any other Conversive Automations. Critical requirement: All workflows must be manageable via existing Conversive configuration tools—no separate admin interfaces.

Utilize Conversive's existing messaging services and channels (WhatsApp, SMS, RCS, Email) to deliver automated communications. Support template-based personalization using your current template engine. Critical constraint: No custom messaging engines shall be developed—full integration with your existing messaging infrastructure and orchestration platform.

Leverage Conversive's existing CRM connectors (not building new ones) to sync call-related activities. Log all communication activities (calls, messages, follow-ups), update CRM objects (contacts, cases, opportunities, tickets), store customer replies, and trigger follow-up tasks. Works with your current CRM integrations including Salesforce, HubSpot, Zoho, and others.

Enforce Conversive's existing compliance framework: consent validation before messaging (opt-in/opt-out management), end-to-end audit logging (all events, triggers, messages), secure role-based access control (RBAC), and encrypted data handling (at rest and in transit). Meets regulatory requirements including TCPA, GDPR, and industry-specific compliance standards.

Revolutionary AI-driven Integration Builder that enables Conversive to onboard new CTI/CRM systems rapidly without writing full custom code for each integration. This strategic platform investment transforms integration development from a weeks-long manual process into an hours-long AI-assisted workflow—enabling Conversive to scale to 100+ integrations efficiently.

Design and implement the foundational AI agent orchestration system that coordinates multiple specialized agents (documentation analyzer, code generator, validator, tester). Agent orchestration includes workflow management (sequential and parallel task execution), context sharing across agents (maintaining integration requirements and generated artifacts), error handling and recovery (retry logic, fallback strategies), and human-in-the-loop approval gates (review before deployment). Built on enterprise LLM infrastructure (GPT-4/Claude) with robust prompt engineering framework.

AI agents that ingest and understand API documentation, webhook specifications, and authentication models of new platforms. System processes OpenAPI/Swagger specs, REST API documentation, webhook payload examples, OAuth/API key authentication patterns, and rate limiting requirements. Extracts key integration points: authentication endpoints, webhook registration URLs, event payload schemas, supported operations (CRUD), and error response formats. Uses RAG (Retrieval-Augmented Generation) for accurate information extraction.

Core AI system that auto-generates production-ready integration code aligned to Conversive standards and architecture. Generates: Auth connectors (OAuth 2.0 flows, API key management, token refresh logic), Webhook listeners (endpoint registration, payload parsing, event routing), Event normalization layers (transforms third-party events into Conversive event model), Workflow trigger mappings (maps events to automation triggers), and CRM sync mappings where applicable. All generated code follows Conversive coding standards, architectural patterns, and uses existing framework utilities.

Multi-layered validation and governance system ensuring generated code meets quality, security, and compliance standards. Five guardrail layers: (1) Code quality validation - linting, style checks, complexity analysis, (2) Security scanning - vulnerability detection, secrets scanning, dependency audits, (3) Schema verification - validates event payloads match expected formats, (4) Compliance checks - ensures TCPA/GDPR compliance, consent validation, opt-out handling, (5) Rollback/versioning - maintains version history, enables rollback if issues detected. Human approval required before production deployment.

Automated testing harness that validates generated integration code before deployment. Test suite includes: Unit tests (individual component validation), Integration tests (end-to-end flow validation), Mock API testing (simulates third-party API responses), Error scenario testing (handles timeouts, rate limits, malformed data), and Compliance validation tests (consent checks, data encryption). Generates test reports with code coverage metrics and identifies edge cases requiring manual review.

End-to-end deployment automation for AI-generated integrations. Workflow includes: Code review interface (presents generated code with explanatory comments), Approval workflow (assigns to technical reviewers, tracks approval status), Staging deployment (deploys to QA environment for validation), Production deployment (promotes to production after approval), Monitoring setup (configures alerts, logging, performance tracking). Includes rollback capabilities if post-deployment issues detected.

As final validation, the AI Agentic Integration Builder will generate a complete integration connector for 1 additional CTI/CRM platform (to be selected by Conversive during Phase 3b). This POC demonstrates end-to-end capability: ingesting API docs, generating auth/webhook/normalization code, passing all guardrail validations, and deploying to staging environment. Proves the system can reduce integration development time from weeks to hours.