AI in your processes
We find where AI saves your team hours, connect it to the tools you already use and teach people to work with it.
Almost every company already uses AI somehow: someone drafts emails with a chat, another summarises documents, a third generates images. What is missing is method: which tasks are worth it, with which tool, with what data you may work and how to measure whether it really saves time.
We start with a short audit of the processes: where the same thing is written many times, where data is copied between systems, where one person reads a hundred pages to find one. Out of that comes a list ranked by saving and risk, and the two or three cases to start with.
Then we roll out: sometimes it is configuring an existing tool and writing the instructions; sometimes an agent integrated into the CRM; sometimes a policy on what data may and may not leave the company. And always training, because a tool nobody knows how to use saves nothing.
Who it is for
- Management that wants to adopt AI with judgement, not out of fashion.
- Administrative and sales teams with a lot of repetitive text.
- Companies with sensitive data that need clear rules before using external tools.
- Businesses that already tried a chat and want to move to measurable results.
What we deliver
Process audit
Interviews and observation of real tasks. A list of cases with estimated hours saved, risk and effort.
Roadmap
The first cases, the tool for each, what to integrate and what to measure. A plan for one quarter, not three years.
Data usage policy
Which information may go to which tool, which providers comply with GDPR and how the processing is documented.
Rollout
Tool configuration, instructions and templates, or development of integrated agents when the case calls for it.
Hands-on training
Sessions per team with their own tasks and documents, not generic examples. Reference material afterwards.
Measurement
Before and after each case: time, quality and cost. What does not improve is retired without drama.
How we do it
01
Audit
One or two weeks of interviews and observation. We leave with the ranked list of cases.
02
Pilots
Two or three cases with a small group for a month, measured from day one.
03
Rollout
What works is extended to the rest of the team with training and documentation; what does not is dropped.
04
Follow-up
Monthly review of results, new cases and policy updates when the tools change.
Technologies
- Claude
- ChatGPT
- Custom agents
- Document automation
- Transcription and summarising
- Bitrix24 and integrations
Questions about this service
Do we need to buy expensive licences?
Usually not at first. Many cases are covered by team plans of the general tools; licences are scaled when the measurement justifies it.
How do we protect client data?
With a written policy on what may leave and where to, providers with data processing agreements and, for the most sensitive, models hosted in Europe or on your own infrastructure.
How much of the team's time does it take?
The audit takes an hour per person interviewed. The pilots fit into normal work. Training is two-hour sessions per team.
What if AI turns out not to work for our case?
We will know after the audit or, at the latest, after the pilot, with numbers. We prefer to say so early rather than sell a long project that improves nothing.
Shall we start?
Tell us what you need in AI in your processes and we reply within one working day with questions or a first estimate.