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Coworker//Leap for Productivity

Bring teams, models, knowledge and systems together around the work

Coworker connects your company knowledge, tools and teams so you can create, share and run agents across real workflows.

  • Agents with company context

    Agents work from your own documents, tickets and records, through connectors to the tools your teams already use.

    1. Zendesk ticket recieved
    2. Agent classifies & drafts response
    3. CRM Updated automatically
    4. Reply sent to Customer

  • Cross-functional multiplayer AI

    People and agents share one thread, one context and one set of skills, and hand work to each other across teams.

  • Model flexibility

    Choose the right frontier or open-source model for each workflow, and switch without rebuilding your agents.

  • AI-native governance

    Decide who can use which data, tools and agents. Audit logs and usage analytics show adoption, cost and return.

  • Ingest data on your terms

    Choose what gets indexed, and where it is hosted and processed.

  • Trusted models, protected data

    Only providers you approve, and none of your data is used for training.

  • Access control at every level

    Each person sees only the data, tools and agents their role allows.

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//Applications across operations

Driving AI ROI together

Bring teams, models and systems together around the work.

  • //For sales

    Less admin, more selling.Prepare for every meeting, follow up on every call and answer buyer questions from approved sources.

    • Account briefsA one-page summary of past conversations, open deals and recent news before each meeting.
    • Follow-upsFollow-up emails drafted from call notes and CRM records, ready for you to review and send.
    • Buyer questions and RFPsAnswers to product and security questions drawn from approved content, with the sources attached.
    • Deal reviewsPatterns from won and lost deals, turned into notes the whole team can learn from.

  • //For customer support

    Faster answers, consistent quality.Resolve tickets with replies grounded in your help center, product docs and past cases.

    • Suggested repliesDrafts based on your knowledge base, for agents to edit and approve.
    • Ticket triageNew tickets tagged, prioritised and routed to the right queue.
    • Case handoversLong threads summarised: what was tried, what worked, what comes next.
    • Zendesk
    • Intercom
    • Help center
    • Escalations
    • Macros
    • CSAT

  • //For marketing & content

    On brand, on schedule.Turn briefs into drafts that follow your voice, your approved claims and your review steps.

    • Brief to draftFirst drafts for posts, emails and pages, built from a short brief.
    • Brand and claims checkCopy checked against your style guide and list of approved claims.
    • RepurposingOne launch turned into a blog post, an email, social posts and release notes.
    • Blog
    • Email
    • Social
    • Landing pages
    • Case studies
    • Release notes

  • //For data & analytics

    Questions in plain language.Ask about your data and get the number, the query behind it and a chart you can share.

    • Plain-language queriesQuestions turned into SQL against your warehouse, with the query shown.
    • Recurring reportsWeekly and monthly summaries, delivered to the channel that needs them.
    • Shared definitionsEvery team uses the same definition for each metric.
    • SQL
    • Dashboards
    • Snowflake
    • BigQuery
    • Spreadsheets

  • //For legal

    Faster review, every finding traced.Check contracts against your playbook and see exactly which clause each finding comes from.

    • Contract reviewDeviations from your playbook flagged, with suggested redlines.
    • Clause libraryApproved fallback language, ready to insert.
    • Policy questionsAnswers to everyday policy questions, citing the policy they come from.
    • NDAs
    • MSAs
    • DPAs
    • Redlines

  • //For knowledge

    Find what your company already knows.Search across documents, wikis and chats, and get answers that cite their sources.

    • Cited answersEvery answer links to the documents it was built from.
    • OnboardingNew joiners get answers to their questions from day one.
    • Out-of-date contentPages that contradict newer ones are flagged to their owners.
    • Notion
    • Confluence
    • Google Drive
    • SharePoint
    • Slack

//Scale

Built for enterprise from day one. AI only works in the enterprise when answers are secure, explainable, and permission-aware.

Every capability below runs on the permissions your teams already have and shows the sources behind each answer, so security and audit teams can sign off on it.

Platform

Enterprise context

Coworker learns how your company works: people, projects, documents and how they connect, kept current as the work changes.

Connectors & actions

Read from and act in the tools your teams already use, from Salesforce and Jira to SharePoint and Slack, with each person's own permissions.

APIs

Build Coworker into your own apps and workflows with the same search, chat and agent APIs our products use.

Coworker Protect

Find overshared content, enforce data policies and keep sensitive information out of answers before it leaves your systems.

Intelligence

Coworker Intelligence

Grounds every answer in your company's knowledge and cites the sources it used, so people can check before they act.

Auto routing

Sends each request to the model best suited to it, balancing quality, speed and cost without anyone choosing by hand.

Model hub

Use frontier and open models side by side, including Mek, Mini and Med, and switch without rebuilding your agents.

AI gateway & usage controls

Set budgets, rate limits and approved models per team, with one place to see usage and spend.

Assistant

Coworker Assistant

Ask anything across your company's tools and get one answer, drafted in context and ready to share.

Proactive AI

Surfaces what needs attention, such as at-risk renewals or stalled tickets, before anyone has to ask.

Multiplayer

People and agents work in the same thread, hand tasks to each other and keep one shared context.

Enterprise search

Search every connected system at once and see only what each person is allowed to see.

//Industry workflows

Pick your industry

Start from agents built for the work in your industry, then adapt them to your own systems and rules.

  • Approved sources only

    Agents answer from the sources you approve for each team.

  • Full audit trail

    Every answer and action is logged with who asked and what was used.

  • Role-based access

    Permissions follow your organisation, so sensitive data stays with the right people.

  • Human in the loop

    Actions that matter wait for a person to approve them.

//FAQs

Coworker, answered

  • What is DataObserve Coworker?

    DataObserve Coworker is an enterprise AI platform that connects company knowledge, apps and teams so people can search, create and run governed AI agents across real workflows.

  • How is Coworker different from a general AI chatbot?

    Coworker answers and acts from your company's own apps with citations, enforces each source's permissions, and gives admins control over features, models, data and agents.

  • What can Coworker agents do?

    Agents triage tickets, prepare account briefs, onboard new hires, update records and run multi-step workflows across your apps, pausing for approval where your policy requires.

  • Which apps does Coworker connect to?

    Coworker connects through native and MCP-based connectors to apps such as Slack, Google Drive, Confluence, Jira, Salesforce and Zendesk, and its context reaches other AI tools through MCP.

  • Which AI models does Coworker use?

    Models your admins approve in Model Hub, including frontier, open-weight and DataObserve models, with Auto Routing picking the right one for each request.

  • How does Coworker keep AI secure?

    Coworker Protect enforces identity and data permissions, sensitive content protection, topic restrictions, runtime threat protection and checks on agent actions.

// Designed for enterprises

We safeguard your company data and protect workspace privacy.

Review security, data handling and deployment requirements with our team.

  • Security and privacy

    Keep sensitive information within your organization’s approved data boundaries.

  • Governance and access

    Define who can access connected data and which actions require approval.

  • Enterprise deployment

    Plan deployment around your infrastructure and operational requirements.

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