AI agents designed for work that needs doing.
Scoped automation, relevant integrations and human oversight, built around the way your team actually works.
AI agents & automation
Start with a useful task.
Repetitive follow-up, scattered knowledge or manual preparation can absorb time that your team needs elsewhere. We identify a defined task, assess the available information and systems, then design an agent with clear responsibilities.
FROM BRIEF TO DELIVERY
Workflow discovery and custom agent development
Connections to agreed business systems
Human oversight, training and scoped support
More team capacity for work that needs human judgement.
A defined job and operating boundary.
Use cases can include lead nurturing, internal knowledge retrieval, configurators and indicative quotation support. The brief defines what the agent can do and when a person takes over.
Connected to the relevant systems.
We assess integrations around your existing tools, available connectors and permissions. Useful context should reach the workflow that needs it.
People remain responsible.
Project management, specialist development and output review stay connected. Training and the agreed support scope help the team use the system confidently.
HOW WE DELIVER
A clear process. A dedicated team.
Workflow discovery
We identify the task, inputs, expected output, data access and the points requiring human judgement.
Build and evaluate
Specialist developers assemble the workflow and agreed integrations. Outputs are checked against the intended use case.
Adopt and improve
Your team learns the workflow and its boundaries. Ongoing improvements follow real use and the support agreement.
In-house specialists. Dedicated project management.
Meet the teamBEFORE WE START
The details that matter.
Can an agent work with our CRM or AI tools?
We assess the available interfaces, connectors and permissions first. Compatibility and data availability determine the scope; we do not assume every system can be connected.
How much time will it save?
That depends on the task, current workload and implemented automation. We define the intended improvement during scoping rather than promise a uniform saving.
Let’s discuss the right starting point.
Which recurring task takes the most time, and which tools and information does it involve?
AI agents & automation