Services

Integrate AI into your team's work

An integration becomes useful when it fits a real workflow. Tool connections, information access and approvals need to be organised so the team can use and supervise it.

Your starting point

For businesses with an identified use case that want to move into operational use.

Copying an answer from an assistant can move work around rather than reduce it. An integration examines the entire journey: input, processing, review, recording and error handling.

How to move forward

1

Define the connections

Identify the systems involved, required information and permitted actions. Check technical options with the tool owners before selecting a solution.

2

Test a limited workflow

Use a controlled scope with explicit quality criteria. Check routine cases, missing information, permissions and situations that require human intervention.

3

Prepare for operation

Define who monitors operation, handles incidents and adjusts settings. Prepare documentation, training and a fallback process before expanding use.

Agree before starting

  • Clearly bounded actions and access.
  • Review appropriate to the consequences of an error.
  • Named owners for ongoing operation.

Your questions

Do we need to replace our software?

Not necessarily. Existing features and connection options are reviewed first. The limitations found then inform the technical choice.

Can AI act without approval?

Autonomy depends on the action and its consequences. Human approvals, limits and ways to correct outcomes are defined explicitly.

Who maintains the integration?

That responsibility is agreed before launch: an internal team, a provider or shared duties. The maintenance scope is specified in the engagement.

One process. One next step.

Start with your daily work to decide what is worth checking together.