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Tools & integrations, read from an operations desk

Everything we have published under Tools & integrations, read from an operations desk: what it changes for a B2B company of 10-200 people.

  1. Latest

    Anthropic previews Claude Duet, an always-on background agent

    Anthropic has put Claude Duet into research preview: an agent that watches your connected apps, sends a morning brief and works in the background without a prompt. It needs approval before sending, paying, signing or deleting. It runs on your existing Claude plan limits, which a hands-on tester burned through fast.

    What changes for operators — If you run sales, support or operations at a 10-200 person company, Duet is worth a small trial on one mailbox, not a rollout. Its approval step before outbound messages and payments keeps a human in the loop, and the inbox triage and daily to-do templates map to work your team already does by hand. The cost model needs watching: background checks count against the same Claude plan limits as normal chat, and the one reviewer reported using up session limits within two days. Anything that runs identically every time, such as pulling an amount and due date from a recurring vendor invoice, belongs in a fixed workflow, not an agent that reasons through it on every run. Note also that the native Gmail connector sees one account only, so shared or secondary mailboxes need another route.

  1. OpenAI launches always-on dots agents for Pro and Business

    If you run sales, support or operations at a 10-200 person company, dots are worth a small, supervised pilot, not a handover. The use cases OpenAI names, such as spotting an unsent invoice or watching bug reports, map onto real back-office work. But the hands-on test found the agent flagged routine alerts while missing a judgment-heavy email, so keep a person on anything involving customers or money. Decide the approval rules before connecting accounts, and check your plan's data-training default first.

  1. Zapier Turns Meta's Muse Into a Connector for 9,000+ Business Apps

    For a 10-200 person company already running Zaps for lead routing, ticket triage or sales follow-ups, this means you can insert Muse Spark judgment at the one step that actually needs it — summarizing a support call, drafting a reply from order history, or flagging urgent tickets — while leaving the deterministic parts of the workflow untouched. Because actions draw from your existing Zapier task allowance and authentication stays inside Zapier's permission system, there's no new vendor contract or API key to manage, and you control exactly which apps and actions the agent can touch, which matters for anyone wary of giving an AI agent blanket access to a CRM or support inbox.

  1. OpenAI Packages ChatGPT for Day-to-Day Business Workflows

    For a 10-200 person B2B company, this matters because it removes one of the biggest blockers to using ChatGPT for real work: getting it connected to the tools where sales and support actually happen. A sales rep can ask it to draft a follow-up using context from a connected inbox or calendar; a support lead can have it summarize open tickets or draft replies without copy-pasting between tabs. The catch is governance — admin controls mean IT or ops now has to decide what data ChatGPT can see, who gets access, and how outputs get reviewed before they touch a customer, which is a new policy decision, not just a new subscription.

  1. Zapier Opens Its 8,000-App Library to AI Agents via MCP

    For a 10-200 person B2B company already running Zapier automations, this closes the gap between an AI assistant answering questions and an AI assistant actually doing the work: updating a HubSpot record, filing a support ticket, or pushing data into a spreadsheet, triggered by a plain-language request inside Claude or another MCP-compatible tool. The practical shift is that ops and support leads no longer need a developer to build a custom connector for every action they want an AI layer to take—if the app is already in Zapier's catalog, it's reachable through MCP. The catch is governance: giving an AI agent standing permission to execute actions across thousands of connected apps means access scoping, approval steps, and audit logging need to be deliberate, not default, before this gets turned on for anything customer-facing.

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