Choose by the problem, not the technology label.

Show us what is slow, manual or unreliable. We will determine whether the right response is enterprise search, connected data, workflow automation or a custom capability.

Services you can request

What can you ask us to deliver?

From a short assessment to a service integrated with your systems, the first step is sized to the uncertainty.

  • AI readiness assessment

    We don't know where AI creates value.

    Discovery & feasibility session
  • Organizational intelligence design

    Information and software are siloed.

    Systems review & integration scenario
  • Knowledge assistant

    Finding information and answering questions is hard.

    RAG pilot on permitted data
  • Custom agent development

    Repetitive follow-up work is costly.

    Define tasks, tools and limits
  • Data analysis & smart dashboards

    There's data, but little insight.

    Identify data sources & KPIs
  • AI capability integration

    An existing product needs intelligence.

    Architecture & API review
  • Research & prototyping

    The problem is new or high-risk.

    Initial research & evaluation criteria

Scope and terms for each service are agreed before work starts, based on your needs and contract.

Engagement & security

Access, security and success criteria come before the build

Needs assessment

  • Discovery session with stakeholders
  • Review of existing data and systems
  • Defined success criteria

Security considerations

  • Role-based access, least privilege
  • Logging of important actions
  • Human approval for sensitive actions

What you can order

  • Prototype & MVP
  • API service or AI module
  • Web platform or internal tool
Enterprise questions

Questions worth asking before the first meeting

That's determined after reviewing your architecture and existing APIs; our aim is to connect to what you run, not replace it.

No. We design the architecture to keep dependence on any single model provider to a minimum.

Access levels, deployment location and data retention are defined around your confidentiality requirements.

Success criteria are set during discovery — for example answer quality, time saved or data accuracy.
Technical session

Bring one real workflow to the table

Send an example of work that is still manual or fragmented. We will suggest a sensible first test.