agent-teamsv1.10.6

An AI agent monitors infrastructure alerting systems and posts formatted, actionable incident summaries into a Microsoft Teams on-call channel with severity tags and links to runbooks. It reads back engineer reactions and threaded replies to acknowledge incidents and escalate when no response occurs within a set window. This reduces mean-time-to-acknowledge by keeping the entire on-call rotation synced in their existing Teams client.

A lite helpdesk agent receives employee requests posted in an IT support Teams channel, extracts the team and channel context, and triages tickets by asking clarifying questions in-thread. It uses persistent memory to remember frequently reported issues and their resolutions, while routing complex cases to human specialists. This deflects repetitive tier-1 tickets and speeds resolution for common problems like VPN and access requests.

A project-desk agent lives in a multi-channel Teams workspace, pulling the latest messages from engineering, design, and marketing channels to compose a daily leadership digest. It maintains aliases for each team ('Acme Corp', 'Side Project') and channel ('standup'), so it can fetch the right data without asking humans to re-explain context. Managers get a single consolidated status update instead of manually scrolling through dozens of channels.

A revenue-operations agent sits in private deal channels where account executives and solution engineers collaborate, summarizing commitments and action items after each customer call. It tracks deal-stage conversations across work and personal accounts, sending curated updates to the sales manager's channel. This keeps pipeline hygiene tight without requiring reps to manually log activity in the CRM.

A scheduling agent in a hospital operations Teams tenant reads shift-swap requests and posts confirmations from nursing supervisors, maintaining a memory of unit-specific channel IDs. It reacts to messages to signal pickup or confirmation, reducing the friction of coordinating coverage across multiple units. This helps understaffed units find coverage faster while preserving the audit trail in Teams.

Companies pay a per-user monthly fee for the agent-messenger CLI integration, with additional charges for admin seats that configure multi-account policies and memory governance. Tiers gate features like message history depth, multi-team support, and audit logging. This aligns revenue with organizational headcount and adoption.

The agent's commands (message send, channel history, user list) are metered and billed per 1,000 operations, with a free tier for evaluation. Heavy automation users pay for throughput, while light users stay on a flat low-cost plan. This captures value from high-volume workflows such as daily digest generation or triage automation.

Large enterprises deploy the agent inside their own virtual network and pay an annual platform license based on tenant count and support tier. The license includes SSO integration, custom memory retention policies, and dedicated onboarding for Teams desktop token extraction. This addresses security-conscious buyers who cannot use a shared cloud service.