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Use cases

AI agent use cases: what each team hands over, and the result it gets back.

One sourced result for each objective, in the team's own format, for its people to decide on. One Task splits the work into focused branches and runs in the background.
See the due diligence Task

Choose your team

Open your team's page to see each job, how one Task splits it and what your people get back.
  • Finance

    Due diligence memos, month-end close commentary and monthly reports come back sourced, each ready for its meeting. For CFOs, deal teams and controllers.

  • Legal

    Contract portfolio reviews, regulatory impact notes and compliance gap assessments each come back as one list your lawyers act on. Every point quotes its source. For general counsel, legal operations and compliance.

  • Procurement

    Supplier files, invoices and bids come back checked against your rules, with the gaps named and sourced. For procurement and third-party risk teams.

  • Sales

    Answers to RFPs and security questionnaires, account briefs, and market and competitor research come back sourced, each before its deadline or meeting. Your CRM keeps what the research found. For sales, bid and product marketing teams.

  • Customer service

    Each customer theme comes back traced to its tickets and calls. Every call gets reviewed, and every escalation arrives as a case file ready for your decision. For customer service and quality leads.

  • IT and security

    Each alert, event or incident comes back with its evidence, so your analysts start from the facts. For CISOs and IT operations.

  • R&D

    Literature syntheses, compound dossiers and case pre-reads against your guidelines come back sourced, ready before your review. For research directors and scientific information teams.

Have another job in mind?

One Task, from the data room to the committee memo

One Task reads the press and the data room, then returns one memo for the investment committee, every finding sourced. It extracts the key terms on the way. Follow the due diligence Task step by step.

From a few branches to hundreds, as the work needs

Here, one branch checks each claim in a public article, and the branches converge into one table.

Illustrative example: checking a public article.

One fact-check Task, from the article to the claim tableYour team hands Duale AI a public article to check. The Task opens one focused branch for each claim. Each branch looks for a dated source and returns a verdict. The branches converge into one claim table, and your people decide what to do with each claim.
You hand overYou get back
The article: a fictional news report on a city’s new tram lineOne row per claim: the claim, its verdict and the dated source behind it
The objective: check every factual claim before your team quotes itThe claims a source contradicts, each with the passage that contradicts it
Your rule: a claim counts as confirmed only with a dated primary sourceThe claims no dated source confirms, marked for your call
  • You hand over
    The article: a fictional news report on a city’s new tram line
    You get back
    One row per claim: the claim, its verdict and the dated source behind it
  • You hand over
    The objective: check every factual claim before your team quotes it
    You get back
    The claims a source contradicts, each with the passage that contradicts it
  • You hand over
    Your rule: a claim counts as confirmed only with a dated primary source
    You get back
    The claims no dated source confirms, marked for your call

Bigger work can run over several days and uses more model inference, which your model providers bill. The Task price stays the same, whatever the number of branches or the duration. Your team follows each branch in the Dashboard Task view. See the price per Task and what Usage analytics shows.

Before your first use case

The facts your security, finance and procurement colleagues check.
  • One fixed price per Task

    A standard Task costs €0.10 and a fast Task €0.20, excluding VAT. See pricing

  • Your providers, your contracts

    Your model providers bill you directly for inference.

  • Your choice of hosting

    Use the managed service, hosted in the European Union, or run the Platform in your own infrastructure.

  • Encrypted storage

    All stored data is encrypted, from Library files to database backups.

  • Unlimited agents

    Add agents as your teams and use cases grow.

  • Your content remains yours

    Duale AI does not reuse your content to train a model. See subprocessors

Use case questions

The team with a job it repeats, documents it already holds and someone who already reviews the result. See one such job end to end in due diligence, then see what else finance teams hand over.

Yes, team by team: legal’s contract reviews can stay in your own infrastructure while sales research runs on the managed service. See how to place each use case in Deployment.

Your experts judge the first results on work they know well. See what a pilot’s figures show in Usage analytics.

No. The managed offer has no subscription or commitment period, so each team hands over a job for as long as it pays off. See the managed offer in Pricing.

Yes. Each team grants its own Libraries to the agent doing the work, and one Task returns one result that quotes each team’s sources. See how teams share Libraries, then see how teams grant access.

Watch one Task check a public article in three minutes

See pricing