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Winaity

An AI agent for every team that answers the same questions

Six concrete situations: what the agent does there, where you start from and what you plug in. Always with no code, and always with your own documents.

Free · 30 conversations/month

Pick your use case

  • E-commerce support

    Order questions, without tying up your support team

    “Where is my parcel?”, “How do I return this item?”, “When will I be refunded?”: these questions keep coming into an online shop's support inbox, evenings and weekends included.

  • Software support

    Product support, from your documentation

    Your users ask how to turn an option on or invite a colleague, while the answer is already in your help center. Your support team spends its days sending links.

  • B2B lead qualification

    Qualify a prospect the moment they show up

    A visitor leaves their details at 11 p.m.; your sales rep calls back two days later, once they have compared other offers.

  • IT support

    Tier-1 IT support

    Forgotten password, VPN refusing to connect, access to an internal tool: tier 1 is repetitive, and it keeps your technicians from the real incidents.

  • Human resources

    The HR questions that come back every month

    Leave, health cover, expense claims, remote work: the same questions occupy your HR team all year long, while the answers are in your agreements and your internal rules.

  • Public information

    Guide the public through its procedures

    Documents to provide, deadlines, opening hours: a local authority or an association gets the same questions every day, and the answer often hides deep in its website.

The same building blocks, whatever the job

Every case puts together the same pieces, which you set with no code.

  • Knowledge base

    PDF, Word, Excel, web pages and sitemaps. Each agent only sees its own documents.

  • Several agents

    One agent per team or per page: 3 on the Pro plan, 10 on Premium.

  • Channels

    The web widget on every plan; WhatsApp, Messenger, Instagram and Telegram from the Pro plan; the REST API for the rest.

  • No-code flows

    Questions, conditions, calls to your APIs and handover to a person, in a visual editor.

  • Handover to your team

    By email, with a link to the conversation, or as a Zendesk ticket or a Salesforce case.

  • Analytics

    Recurring topics, resolution and handover rates, satisfaction: enough to know what to document next.

Questions about the use cases

Is there a template for my line of work?

Four official templates exist: customer service, reception and appointments, software support and lead qualification. For the other jobs — e-commerce support with order tracking, HR, IT support, public information — you start from a blank agent: you write its mission, import your documents and try it in the test space before publishing it.

Can I have one agent per team?

Yes, from the Pro plan: 3 agents on the Pro plan, 10 on Premium, against 1 on the Free and Starter plans. Each agent has its own instructions, its own documents and its own handover rule, and you choose which pages it shows on. Agents do not pass questions to one another: each one answers where you placed it.

Can the agent look up my orders or my ticketing tool?

Yes, if they expose an HTTP API. You declare the call in a connector or in a flow: the agent reads, for instance, an order's status from the number the customer gives, or opens a ticket. A read happens directly; a write, such as opening a ticket, first asks the visitor to confirm in the widget and is not offered on WhatsApp. There is no ready-made connector for Shopify, Jira or HubSpot: the agent calls their API.

How do I know whether the agent is useful?

The Analytics screen shows, over 7, 30 or 90 days, the number of conversations, the resolution rate, the share handed over to your team, satisfaction, sentiment and the topics that come up most. The Quality page lists the questions your documents did not cover: that is the list of what to write next. The figures cover your whole workspace, all agents together.

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· Designed in France · Data partitioned per organisation ·