When AI needs to stay on-script
Enterprise AI for customer support agents can’t guess. A single wrong answer can damage trust, frustrate customers, break contractual obligations, or worse.
Maven AGI powers AI-driven chat and voice support for major brands like Thumbtack, project management platform ClickUp, and even Paris Hilton's beauty line, where the voice AI responds just like her ("that's hot!"). Maven's platform is designed to orchestrate end-to-end customer journeys across channels, systems of record, and operational workflows. Their copilots perform real-time searches, run actions across dozens of systems, and suggest responses instantly across chat, email, and live voice conversations.
Maven's AI agents rely on internal, company-approved knowledge sources; no speculation occurs if information isn’t available. Apify’s Website Content Crawler keeps Maven's AI anchored in real company data, drastically reducing hallucinations - ensuring both accuracy and alignment with enterprise compliance standards such as SOC2, HIPAA, and GDPR. We spoke with Maven AGI’s DevOps team.
"To address our customers' concerns about AI accuracy, we use retrieval-augmented generation (RAG) anchored in quality data sources. Apify’s web scraping capabilities help us ensure our RAG system pulls from information that’s both current and trustworthy."
-- Jeremy Joslin, Maven AGI
Agents log into 20+ internal platforms each day to serve customers, but policies, product information, and internal documentation change constantly. Manual updates are impractical, and any delay risks errors. Apify automates the scraping of internal systems, feeding verified content into Maven’s AI pipeline.
The challenge: 100% grounded information
Enterprise support tolerates no errors. The Maven team explains, "We don't want the AI to stumble across Reddit reviews or other external sources. We want it to stay on brand with the company's messaging."
Maven faced two major obstacles: scale and velocity. Agents needed fast access to up-to-date knowledge across dozens of internal tools, while enterprise clients demanded absolute accuracy for policies, product specifications, and compliance information. Any lapse risked not only customer frustration but also potential regulatory or contractual consequences.
The solution: Apify’s Website Content Crawler
Maven uses Apify to scrape authenticated internal sources, handling logins, session management, and retries automatically. Scrapes run as often as needed - hourly, daily, or weekly - and the results flow directly into Maven’s retrieval-augmented generation (RAG) pipeline. Knowledge bases are vectorized and indexed, enabling Maven’s AI to retrieve accurate information instantly during customer interactions.
Temporal orchestrates the pipeline, flagging conflicts or missing information and suggesting new sources to keep knowledge bases comprehensive. Once scrapes are complete, Apify triggers an immediate update, making sure agents always work with current, verified data.
This Apify automation has transformed onboarding for Maven’s enterprise clients:
"For 95% of our onboarding, our new customers are using only scraped data from Apify."
-- Amol Bhave, Maven AGI
Impact highlights
Maven’s AI copilots now ensure human agents receive suggestions grounded in verified internal knowledge, improving speed, reducing errors, and maintaining client trust.
- AI responses are fully based on verified internal sources
- Manual data gathering across 20+ systems is eliminated
- Knowledge bases are updated automatically to reflect current policies and products
- Conflicts or missing information are resolved before the AI responds
- 95% of new client onboarding relies solely on Apify-scraped data
- Responses remain aligned with enterprise compliance standards (SOC2, HIPAA, GDPR)
You can learn more about using Website Content Crawler for training LLMs in the video and demo:
