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AI assistant development for business

Transcription, summaries, content search and generation inside your digital product.

01

Choose a task with measurable results

An AI feature starts with a specific workflow: turning a meeting recording into notes, finding an answer in documents or helping someone draft a text. We define how to assess answer quality and where human involvement is needed.

02

Working with content and knowledge

For knowledge search, we design document ingestion, processing and retrieval. RAG provides the model with relevant material but does not eliminate errors. We therefore account for source citations, access rights and behaviour when no answer is available.

03

Integration and operation

We integrate AI into the existing user journey, accounting for provider limits, response times and request usage. We agree on content retention and error-handling rules. Quality is assessed against real tasks before launch.

Use cases to start with

  • Knowledge assistant: answers based on your documents with references to retrieved sources.
  • Meetings and content: transcripts, summaries and information extraction from recordings.
  • Staff assistant: draft replies and process enquiries with a handoff to a person.

Your first release

  • One testable use case, a reference dataset and quality criteria.
  • Model and data-source integration into your product interface.
  • Spending limits, provider failure handling and human handoff rules.
04

Cost and project scope

The budget depends on document volume and quality, access permissions, integrations and accuracy requirements. Model, transcription and storage costs are estimated separately from development. A pilot can start with one workflow and an agreed set of examples.

05

How we validate the work

We compare answers with agreed examples and check source references, data isolation and behaviour when information is missing. We measure response time and processing cost, and document limitations before launch.

Before development starts

How do I get a cost and timeline estimate?

Send a description of the workflow, intended users and systems to connect. No specification is required to start. The proposal will separate the first release from later development and set out stages, dependencies and budget.

What affects the launch date?

The initial scope, content readiness, external system access and review time affect the date. We agree on timing after reviewing the task, with time allocated to testing and fixes before release.

What costs remain after launch?

Depending on the solution: hosting, external APIs, AI models, payment-provider fees and support. These are discussed separately from development. Support scope, access and source-code handover are agreed before work starts.

In practice

Related projects

Next step

Let’s talk about your project

Tell us about your users, workflow and expected outcome. We’ll define the first version and suggest a delivery plan.