This month we launched Agent OS in beta, bringing a more capable Enterpret Agent and proactive Agent Automations to customers, made Enterpret available inside ChatGPT, shipped four major feedback integrations plus new Agent connectors, introduced live sales deal-risk intelligence, and webhook delivery for Escalation Shield Agent, and made broad improvements across speed, accuracy, ingestion, exports, and reliability. Here's what's new.
Agent OS: Proactive Customer Intelligence, Powered by Enterpret Agent
We launched Agent OS in beta: a new way to investigate customer feedback, work with connected business context, create shareable outputs, and trigger action across the tools your teams already use.
- Enterpret Agent — Wisdom, supercharged: Ask complex, multi-step questions and have the Agent investigate across customer feedback and connected systems, then turn the result into cited, shareable work.
- Reusable skills: Package repeatable instructions and best practices so the Agent can consistently execute workflows for your team.
- Connected context and actions: Native connectors include Salesforce, Jira, Linear, GitHub, Notion, Canva, Granola, Amplitude, PostHog, Slack, and now Zendesk MCP — so the Agent can bring customer evidence together with the systems where work happens.
- Shareable artifacts: Create files, dashboards, documents, and other polished outputs directly from an Agent session.
- A smoother Agent experience: We added inline session naming, clearer approval controls, improved readability for dense answers, better file previews, and a resizable workspace for Agent-assisted taxonomy work.
- Usage guardrails: Per-organization spend caps and internal monitoring provide a safer foundation for scaling Agent usage during beta.
Agent Automations: Customer Intelligence That Keeps Running
Agent Automations put Enterpret Agent to work in the background, on a schedule or in response to a signal, so teams can move from one-off analysis to repeatable operating workflows.
- Scheduled workflows: Run recurring analyses such as weekly Voice of Customer reports, launch monitors, support scorecards, help-center gap reviews, account-health summaries, and customer-story discovery.
- Signal-driven workflows: Trigger work when Enterpret detects a feedback spike, sentiment shift, urgent escalation, quality issue, or emerging account risk.
- Connected automation runs: Automations can use the same connector catalog and reusable skills as on-demand Agent sessions, including connected tools such as Linear, Notion, PostHog, and Slack.
- Fresh, audience-ready outputs: Each run produces a new synthesis of what changed, what is emerging, what resolved, and why it matters — delivered in the format and destination that fit the audience.
Enterpret is Now Available in ChatGPT
Enterpret is live in the ChatGPT App Store, bringing cited customer intelligence directly into ChatGPT and Codex workflows.
- Ask questions about customers without leaving ChatGPT.
- Get answers grounded in your Adaptive Taxonomy and feedback records, with citations back to Enterpret.
- Combine customer context with the documents and workflows already being used in ChatGPT.
New Feedback Integrations: Pylon, Decagon, Fathom, and HubSpot
Four new integrations went live in June, expanding the customer conversations, calls, support interactions, and CRM activity teams can analyze in Enterpret.
- Pylon: Ingest issues, conversations, tickets, call recordings, and survey responses as feedback, while syncing contacts and accounts for user- and account-level analysis.
- Decagon: Automatically sync AI-agent and support conversations into Enterpret for search, Reasons, Pulse, dashboards, and Agent analysis.
- Fathom: Pull meeting recordings and speaker-level transcripts on a recurring schedule, with speaker attribution that separates internal teams from customers.
- HubSpot Feedback: Ingest tickets, deals, leads, feedback submissions, notes, emails, calls, meetings, activities, and custom objects, with flexible field mapping and associated-object context.
Live Deal Intelligence: Find Risk Before a Deal Closes
An early access release of Live Deal Intelligence extends Sales Intelligence beyond explaining completed deals to identifying material risks while an opportunity is still open.
- Evidence-grounded deal risks: Risks are derived from source feedback and can include a category, severity, explanation, supporting evidence, and mitigation.
- Actionable by default: The initial experience prioritizes medium- and high-severity risks to reduce noise.
- Available across Sales Intelligence: Stored risk objects can be used in Deal Detail, Quantify, and Enterpret Agent workflows.
- Built for proactive selling: Teams can move from “Why did we win or lose?” to “What should we pay attention to right now?”
Escalation Shield Webhooks
Escalation Shield can now deliver support-escalation signals to a webhook, alongside Slack and email. This makes escalations programmatically consumable — for example, to prioritize work in Zendesk or Intercom, or to start an agentic workflow when an urgent issue is detected. Learn more.
MCP Reliability and Lifecycle Improvements
- Activity-based token expiry: MCP tokens now stay active when used at least once every 90 days, with a one-year absolute cap, instead of expiring after a fixed 180 days regardless of activity.
- Proactive expiry warnings: Token owners receive email notifications 14 days and 7 days before expiry, plus an expiry notification with a direct path to generate a replacement.
- Faster customer quotes: Quote generation across Enterpret MCP, Wisdom, and Enterpret Agent is now approximately 80% faster.
- Claude and Cursor connectivity: Fixed an MCP v2 regression that could block connections and authentication in Claude and Cursor.
Quality & Reliability Improvements
A broad set of improvements made Enterpret faster, more accurate, and more dependable across agents, analytics, ingestion, and exports.
- Escalation Agent accuracy and stability: Escalation intent and emotional intensity now use discrete, model-stable levels instead of drifting 0–100 scores. Alerting runs on a calibrated decision matrix, with upgraded models selected through production benchmarks.
- Sharper feedback summaries: Improved grounding, actor attribution, context retention, and hallucination resistance in the summary pipeline, reducing incorrect roles, unsupported details, and prescriptive next steps.
- Faster time to insight: For a high-volume Zendesk workflow, measured p90 end-to-end latency fell from roughly 105 minutes to 26 minutes by the end of June.
Bug Fixes & Product Polish
- Quantify: Restored the user-sentiment breakdown and fixed text-search filters that could reset or reload incorrectly.
- Enterpret Agent: Fixed file-preview regressions, session names that did not persist on blur, dense markdown readability, attachment-review cleanup, and Calendly authorization failures.
- Onboarding: Fixed OAuth redirect and post-connect drawer behavior, improved readiness-state handling, and preserved navigation state across the onboarding flow.
- Integration metadata: Cleaned up noisy internal metadata labels that surfaced instead of user-friendly field names for some webhook integrations.
- Feed dates: Removed historical cross-partition duplicates that could surface incorrect 1970 dates in filtered call feeds.
- Slack links: Fixed malformed dashboard URLs that could cause Slack preview rendering to time out.
- Data exports: Fixed timeout and empty-response cases in the Export API and repaired missing compacted data.
- Pipeline resilience: Hardened Sales Intelligence and Product Feedback pipelines against rate limits, dependency timeouts, and replay/backfill failures.
Thank you for pushing us forward. Lots more coming in July — stay tuned!