Maven AGI Platform
Hi Aaron, I've put together this technical overview of Maven AGI based on my research. Looking forward to diving deeper in our upcoming meeting.
A serverless, API-driven platform
Integrating LLM-powered support agents into existing enterprise tooling
High-Level Architecture
Maven AGI's layered architecture provides a comprehensive solution for enterprise support automation
Data / Knowledge
Ingests and refreshes product docs, ticket history, PDFs, CSVs, public sites
URL crawler with depth/page limits, glob exclusions, scheduled refresh; supports Salesforce, Zendesk, Freshdesk KB exports
Embedding & Retrieval
Converts each knowledge item into vector embeddings and stores them for fast semantic search
Proprietary retrieval pipeline fed to the LLM prior to response generation
LLM-Agent Orchestrator
Large-language model decides how to answer, whether to call an Action, and how to fuse knowledge + real-time data
Uses "Action" schema plus chain-of-thought prompts; multi-language translation layer
Execution layer (Maven Apps)
Tiny serverless functions that run customer-specific code—e.g., hit an internal API, write to Snowflake
Runs in Maven-managed sandbox; authenticated via API secret; can also be called from customer-hosted servers
Surfaces / Connectors
Embeds the agent into Zendesk, Salesforce, HubSpot, Slack, SMS, web chat…
Out-of-the-box connectors + REST SDKs (Java, Python, TypeScript, .NET)
Analytics (Insights 360)
Captures every conversation, Action call, feedback signal; exposes dashboards + export triggers
Event Triggers stream data to BI tools or tag tickets in real time
Key Technical Components
The platform consists of five interconnected layers that work together to deliver intelligent support automation
Data & Knowledge Layer
Ingests and refreshes product docs, ticket history, PDFs, CSVs, and public sites with scheduled refreshes and support for various data sources.
Embedding & Retrieval
Converts knowledge into vector embeddings for fast semantic search with a proprietary retrieval pipeline fed to the LLM.
LLM-Agent Orchestrator
Decides how to answer queries, whether to call an Action, and how to fuse knowledge with real-time data using chain-of-thought prompts.
Execution Layer (Maven Apps)
Serverless functions that run customer-specific code in a Maven-managed sandbox, authenticated via API secrets.
Surfaces & Connectors
Embeds agents into Zendesk, Salesforce, HubSpot, Slack, SMS, and web chat with out-of-the-box connectors and REST SDKs.
Analytics (Insights 360)
Captures conversations, Action calls, and feedback signals with dashboards and export triggers to stream data to BI tools.
Technical Capabilities
Maven AGI provides comprehensive technical capabilities across knowledge management, language support, and integration
Supported Sources
Ticketing knowledge bases, PDFs/DOCs/CSVs, public URLs, manual snippets
Refresh Automation
Daily / weekly / monthly crawls; diff-aware so embeddings stay current without full re-ingest
Precision Controls
Crawl depth & page limits, CSS strip rules, URL glob exclusions
Language-Aware Retrieval
Document language detected automatically; queries answered in-language or translated on the fly
Performance Metrics
Based on executive talks and customer testimonials, Maven AGI delivers impressive results
Autonomous Resolution
93%~93% autonomous resolution on tier-1 questions
Cost Reduction
81%81% overall support cost reduction
TripAdvisor Automation
90%~90% of inbound travel queries without human touch
HubSpot Handle Time
20%20% reduction in agent handle time
Beyond Efficiency: The Rho Success Story
How Maven AGI transformed from an efficiency tool to a company-wide enablement platform
Initial Expectation
Rho originally implemented Maven AGI as a tool to improve efficiency — helping their support agents work faster and handle more tickets.
"Maven AGI has evolved beyond an efficiency tool into a company-wide enablement platform that aligns perfectly with our mission of delivering business-wide AI to improve customer experience across all departments."
Rho Leadership Team
1Higher Quality Responses
- Agents receive more accurate, comprehensive recommendations for resolving customer issues
- Particularly valuable for agents whose first language isn't English, improving the quality of ticket resolutions
2Team Enablement & Ongoing Learning
- Maven became a self-training tool for both new and existing team members
- Helps employees continuously learn internal processes and product details
- Adoption has spread beyond the service team to sales and marketing teams
Broader Impact
Maven AGI is evolving into a company-wide enablement tool, aligning with Maven AGI's mission of delivering business-wide AI to improve customer experience across all departments.
Security & Deployment Model
Maven AGI prioritizes security with a robust deployment model and comprehensive compliance
SaaS Model
Single-tenant data plane per customer with isolated knowledge and embeddings storage
Isolated Execution
Actions and Triggers run in isolated serverless containers with scoped secrets
Compliance
SOC 2 Type II & GDPR compliant with SSO via Okta/Entra
Key Differentiators
What sets Maven AGI apart from other enterprise AI solutions
Action/Trigger Orchestration
Tight orchestration that enables the model to execute real business logic
Managed Knowledge Stack
Fully managed knowledge and multilingual retrieval stack with automatic updates
Language-Generated SDKs
SDKs that make integration look like any other SaaS API