EditandoIdeas

Development

A chatbot that answers what it knows and hands off the rest.

We design AI-powered conversational assistants connected to your information, with clear limits on what they can and cannot answer.

When it fits

Repeated questions with documented answers.

A chatbot adds value when the same questions keep coming and the answers are already documented:

  • Your team answers the same questions every day by email or chat.
  • There is useful documentation that nobody can find when they need it.
  • Customers ask after hours and wait until the next business day.
  • A simple question requires someone to look up data in another system.
  • You want to try an AI assistant with clear limits before expanding its scope.

What it includes

An assistant with defined limits.

  • Scope and limits

    Which topics the chatbot handles, which it does not, and when it hands the conversation to a person.

  • Grounded in your information

    Answers based on your documentation and systems, not on whatever the model assumes.

  • Conversation design

    Tone, error messages, and exit paths designed so users never get stuck.

  • Integration with your channels

    The assistant lives where your users already are: your website, your platform, or your app.

  • Human review and ongoing improvement

    We review real conversations to correct answers, adjust limits, and spot new topics.

How we work

Limits come before the prototype.

  1. Use cases

    Which questions come in today, from whom, and what the right answer is.

  2. Limits

    Allowed topics, off-limits topics, and rules for handing off to a person.

  3. Prototype

    A test assistant your team evaluates with real questions.

  4. Integration

    Connection to your information and channels, with conversation logging.

  5. Review

    Post-launch answer monitoring and adjustments with your team.

What you get

A chatbot you can audit.

  • A chatbot integrated into the agreed channels.
  • A scope document: topics, limits, and handoff rules.
  • Conversation logs for review and auditing.
  • A set of test questions to validate every change.
  • A guide for updating the information the chatbot answers from.

FAQ

What people usually ask us.

Can the chatbot make up answers?

That is the main risk with generative AI, which is why it is designed to answer only from your information, recognize when it does not know, and hand off to a person.

Can it make decisions or approve transactions?

We advise against it. The chatbot informs, guides, and collects details; decisions that commit your business stay with a person.

What happens to conversation data?

What gets stored, where, and for how long is defined up front, in line with your privacy policy and what your responsible teams agree on.

Development

Other services in this discipline.

  • Web platforms

    Portals, dashboards, and internal processes

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  • Mobile apps

    Android and iOS from a single Flutter codebase

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  • Desktop apps

    Work tools installed on your team’s computers

    View service

  • APIs

    Integrations and services with clear contracts

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  • Microservices

    Splitting a system only when it pays off

    View service

  • Adobe Experience Manager

    AEM implementation, audits, and support

    View service

Let’s see which questions a chatbot can handle.

Tell us what you get asked most often and where the answer lives today.

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