The right agent for each task
Give each specialist a defined responsibility, limited tools and a clear output.
Custom AI Agent Teams
Coordinate research, analysis and follow-up across a team of AI agents, with clear responsibilities and human review where it matters.
30 minutes. Bring a problem or an idea.
Is this for you?
What we build with you
Designed around your team, your tools and the work that matters.
Give each specialist a defined responsibility, limited tools and a clear output.
A coordinating workflow passes context between agents and keeps the stages in order.
Review rules, exception handling and an operating guide keep the process understandable.
A simple example
Illustrative scenario
The brief, approved research sources and the criteria your team uses to compare suppliers.
How to divide research and comparison, and which missing facts need a reviewer.
A source-backed shortlist prepared by specialists, checked and passed to your team for a decision.
How it works
Define each stage and check whether multiple agents are useful for the task.
Set up responsibilities, shared context, permissions and validation.
Run representative tasks and exceptions, then train your team to operate the workflow.
We agree the scope, fee, timeline and responsibilities before starting. See how we deliver ↗
Good to know
No. We assess the workflow first. A single assistant or conventional automation can be the more reliable choice.
Each agent handles a specific part of the work. A coordinating workflow manages the handoffs and shared information.
We agree which actions can run automatically and which require a person. Review and escalation points are explicit.
It depends on the scope, integrations and delivery requirements. After an introductory conversation, we agree the deliverables, fee and timeline before work begins.
Let’s talk about your business
Tell us how the work moves today and where it gets stuck.
Planning your project
Multiple agents are useful when a process has distinct responsibilities, such as gathering information, checking it and preparing an action. For a straightforward task, a single assistant or conventional automation may be easier to maintain. We assess the handoffs and failure cases before choosing the design.