OneDashboard

AI built around your business.

Make AI useful for the work your team actually does. We build assistants and tools around a defined task, the information they need, and the people who will use them.

Discuss your project
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Start with a task worth improving.

A useful AI project starts with a specific problem: finding answers across internal documents, preparing a summary, extracting information, or helping a team respond with better context. We work with you to choose a practical use case, understand the source material, and define how results should be reviewed. The goal is a tool that fits your existing workflow and has a clear purpose.

What we can build.

Knowledge assistants

Help teams search approved documents and find relevant information, with source references where the project supports them.

Document processing

Extract, classify, or summarise information from documents and pass the results into a review workflow.

Customer and team support

Build assistants around your products, processes, and support knowledge, with clear handoffs to people.

AI inside your dashboard

Bring summaries and natural-language questions into a workspace your team already uses.

A scope shaped around your requirements.

We review the data sources, model options, access requirements, and situations where human review is needed. We also agree on what the assistant should do when it cannot find enough information. Integrations, hosting, operating costs, and evaluation criteria form part of the project scope.

From a question to an answer your team can review.

An internal knowledge assistant

Imagine a team answering recurring questions across product guides, policy documents, and support notes. An assistant can bring relevant passages into one place and prepare an answer for review. The useful starting point is an approved collection of documents and a set of questions people already ask.

Illustrative project scenario. The final workflow depends on your requirements.

  1. Choose the knowledge

    Identify approved sources, document owners, access rules, and how outdated material should be replaced.

  2. Make answers traceable

    Present relevant source context alongside the response and provide a clear route when the information is missing.

  3. Evaluate real questions

    Review typical questions, ambiguous requests, and unsupported answers before deciding what is ready for everyday use.

What a scoped project can include.

We agree on the deliverables before work begins. Depending on the project, these may include:

A defined assistant workflow

Agree on its users, permitted tasks, source material, and handoff to a person.

A reviewable first version

Try a focused implementation with representative documents and examples from your team.

A plan for ongoing use

Document content updates, feedback, access, and the model or hosting costs that apply.

What to bring to the first conversation.

Bring a sample of the documents you want to use, five to ten real questions, and examples of what a useful answer should contain. Tell us which information is confidential and who is allowed to access it.

You do not need a complete specification. A clear description of the current problem helps us identify the next useful step.

Questions about custom AI solutions.

Can an assistant work with our own documents?

Yes, subject to the formats, permissions, and quality of the available content. We review your information sources and define which material the assistant may use.

Will the AI always give a correct answer?

AI outputs can contain errors. We design the workflow around your use case, including source context, evaluation, and human review where needed.

Can we start with a small AI project?

Yes. A focused assistant or document workflow can be a useful starting point. We define the initial scope and plan any expansion separately.

How do we keep the knowledge current?

The update approach depends on your source systems. We agree on who owns the documents, how changes are picked up, and how obsolete material is removed.

Can a person approve the output first?

Yes. A draft-and-review workflow can keep a person responsible for answers, classifications, or summaries before they are used elsewhere.

Let’s make
something useful.

A rough idea is enough. Tell us what you want to improve and we’ll start with a focused conversation.

teams@n9agents.com
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