Understand the task
We explore the process, context sources and team actions. Together, we choose a use case where an agent can help.
Outcome
Use case and success criteria
How we work
From a clear task to a working integration.
We start with a specific use case. Agree on quality criteria, test it in a pilot and expand after assessing the results.
Design the workflow
We define tools, access, limits and human involvement. We agree on how to evaluate quality.
Outcome
Integration plan and access boundaries
Run a pilot
We connect the tools and test the workflow on an agreed set of tasks. We review errors and refine the process.
Outcome
Working pilot and evaluation results
Bring it into everyday work
We prepare the team, documentation and monitoring. The results guide the next stage of development.
Outcome
Integration, guidance and a development plan
Considered integration
Control is part of the architecture.
Your process
We bring agents into the tools and practices your team already uses.
Clear boundaries
We agree on access, permitted actions and approval points.
A result you can assess
We evaluate quality on specific tasks before expanding the integration.
Before our first conversation.
Do we need to change our tools?
We first explore integration with your current stack. What is possible depends on APIs, permissions and each system’s limits. Any necessary change is discussed before implementation.
How do we choose the first use case?
We look for a recurring task with available context and a clear outcome. A useful pilot has a narrow enough scope for its quality to be assessed.
Will the agent act independently?
Autonomy is defined for each action. An agent may prepare drafts, take permitted steps or request approval. Important decisions stay within the agreed boundaries.
What happens to our data?
Before connecting anything, we agree on sources, access and data transfers to selected providers. Hosting, retention and processing requirements inform the architecture.
How do we assess the result?
Before the pilot, we define criteria such as task quality, time spent, corrections and usability for the team. We compare performance on agreed examples.
Find a place for AI in your team.
Let us start with the task, your tools and what a good result means to you.