Use cases

Specific business problems. AI systems ready to solve them.

The same model can play a role in very different solutions. The outcome changes because of the knowledge, process, integration and control we build around it.

Two professionals looking over an organised office and its working processes

Knowledge and documentation

Turn scattered information into working capability.

Make internal knowledge searchable

Create conversational access to corporate documents and sources with context, permissions, references and validation criteria.

Process large amounts of documentation

Classify, extract, summarise, verify and organise documents within a business workflow.

Analyse contracts or case files

Find clauses, data, differences, risks or conditions to support professional review.

Generate documentation with context

Prepare drafts, reports or communications using authorised information and review where appropriate.

Operations and decisions

Connect analysis, applications and action.

Operations team connecting analysis, a business application and action confirmation
Answer questions about data

Enable authorised users to query business information in natural language and receive understandable answers.

Control communications and deadlines

Analyse events, documents or messages, identify actions and support their tracking within the process.

Automate administrative tasks

Coordinate extraction, verification, recording, communication and approval without removing the necessary control points.

Automate processes across applications

Connect systems so information moves between tools, people and AI capabilities.

New capabilities

When the problem needs its own product.

INTERNAL AGENTS

Specialised assistants

Capabilities tailored to specific functions, sources and permissions within an organisation.

EXISTING SOFTWARE

AI within ERP, CRM or DMS

New functions integrated into the applications where work already happens.

NEW PRODUCT

Specialised applications

Software designed from the outset around a task or AI-based value proposition.

Case assessment

Not every process should be automated in the same way.

  • Which outcome needs to improve and how it will be verified.
  • What information exists and who may use it.
  • Which decisions can be automated and which require approval.
  • Which applications and teams it must integrate with.
  • How the capability will evolve after the first case.

Do you have a case that is not listed here?

Describe the problem, the current process and the outcome you are looking for.

Assess a use case