BOOK A CALL Implementing AI in a business starts with the process.
We identify repetitive tasks and bottlenecks, then assess whether AI, an agent or an automation is the right solution.
An AI agent alone does not solve a process. It needs a defined task, access to the right data, integrations, clear limits and human oversight.
How we work together.
- 01
We identify the task
We describe who carries out the process, how often, on what data and where delays, errors or repetitive work occur.
- 02
We check whether AI fits
We separate tasks that a model can support from those that need rules, integrations, organisational change or a human decision.
- 03
We design the solution
We define data sources, tools, the agent's permissions, escalation paths, the approval process and the criteria for correct operation.
- 04
We test and implement
We test the solution on agreed cases, monitor errors and only after approval agree the scope of the rollout.
Situations where we help.
- The team spends a lot of time on repetitive tasks: re-entering data, answering similar questions, preparing reports.
- Information is scattered across emails, files and systems, and gathering it takes hours.
- The business has tested AI tools, but this has not turned into a stable, controlled process.
- Handling customer enquiries is slow and needs a better first response.
- A process map showing where AI makes sense and where it does not
- A solution design: data, tools, permissions and oversight
- A test version checked on agreed cases
- Instructions for the team and rules for approving outputs
- A dashboard or report to track performance, if needed
What matters in a good solution.
- 01People stay in controlThe degree of autonomy depends on the consequences of an error. Financial, legal and customer-critical decisions should have proper oversight.
- 02Data and access matterBefore implementation, it must be agreed what information the solution may process and who may see it.
- 03We measure how useful it is to the processWe assess accuracy, time, the number of exceptions and the effect on the team's work, not the mere fact that AI is used.
Frequently asked questions.
Will an AI agent replace employees?＋
We design solutions that support the team in specific tasks. Decisions that matter to customers, financial and legal decisions remain under human oversight.
What data does the solution work on?＋
Only the data the business specifies and is allowed to process. The scope of access and privacy rules are agreed before implementation.
Which tools do you use?＋
We choose them to fit the business's process and systems. We do not assume a single provider in advance.
Where should we start if we don't know what to automate?＋
With a conversation about which tasks take the most time and cause the most errors. Together we choose one process to begin with.
How much does AI implementation cost?＋
We agree scope and cost after diagnosing the process. First we define the task, data sources, required integrations, permissions and oversight. Campaign management package prices are not AI implementation prices.
Can we start with a single process?＋
Yes. We choose one task to start with, assess whether AI fits and test the solution on agreed cases. We agree rollout scope after approval of the test version.
Let's talk about your goal.
The scope of integrations, the choice of tools and the data processing rules require a separate assessment. Not every process should be automated.
We call back within 1 business day, ask a few questions and suggest a possible scope. We send an offer only after the call.