01
A focused goal
The task, inputs and expected result. We agree which cases it covers and what stays outside the scope.
01 / AI agents
Less repetitive work. More work done.
We connect your information and tools so requests keep moving. An agent that prepares, acts and asks for your review when it matters.
OperationsCustomer supportSales workflows
The change that matters
Your team brings judgment. The agent moves work forward.
We start with a recurring task. We define what the agent can resolve and where a person needs to step in.
Copying data between tools
Information finds its place.
An enquiry is classified, recorded and routed to the right team with its context.
Searching for the same answer again
Knowledge becomes useful support.
The agent checks authorised sources and prepares a response for you to review.
Chasing every next step
Requests keep moving.
It prepares tasks, notifies the owner and flags exceptions that need judgment.
See it in action
From a request to the next action.
Three examples of agents at work. Each workflow connects information, tools and decisions to get a specific job done.
Examples of what we can solve
Illustrative demonstration. The whole workflow represents the agent. It receives a request, checks information, prepares the work and notifies the team. Proposals and replies need your review.
- Enquiry
- Check CRM
- Understand request
- Prepare proposal
- Your review
- Save contact
- Documents
- Terms
- Notify team
Proposal ready for reviewContact saved · Team notified
What we build with you
Useful from the first workflow. Control at every step.
Answering is only part of the job. It needs to follow your rules and make its actions clear.
02
Connections with permissions
The sources and tools it needs, with access limited to the agreed actions.
03
Testing and human review
Real scenarios, exceptions and approval steps before sensitive actions are enabled.
04
Visible operations
Activity logs, error alerts and documentation so you can see what happens and how to respond.
Our process
Know where we are. See what comes next.
We work with you, with deliverables you can review and clear decisions at every stage.
01
Understand
We review a real task, the tools involved and the time your team spends on it today.
02
Design
We map the workflow, sources and approval points. Together, we validate the expected result.
03
Build
We connect and test typical cases and exceptions before putting the agent to work.
04
Launch
We activate the workflow, document its use and agree how to review and improve its performance.
Before we start
Clarity comes first.
A good decision starts with understanding what we will build together.
Which task should we automate first?
A recurring task with accessible inputs and a result that can be checked. We review its volume, exceptions and current effort with you before deciding whether an agent is the right solution.
Can it work with my existing tools?
We review each tool’s APIs, permissions and integration options. We confirm feasibility and costs before agreeing the scope; platforms do not all support the same actions.
How do we stay in control?
We define what it can read, what it can do and when it must ask for approval. Sensitive actions are reviewed and errors are reported. The agent cannot decide to expand its own permissions.
What costs and support come afterwards?
We separate development from model usage, hosting and external tools. The proposal explains expected costs and agreed support, with a way to review actual usage after launch.
The next step
That task that keeps coming back. Let’s start there.
Tell us how you handle it today and which tools you use. We’ll look at what can move forward without tying up your team.