Anonymous company

Food production ~ Spain ~ 100 employees

How AI agents eased the CEO’s workload and streamlined everyday decisions

Challenge:

The CEO instead of thinking about the strategic development of the company, spent most of his time putting out fires.

Solution:

Implementation of a network of agents who organized the flow of information and provided the CEO with clear recommendations for action.

30%

Less time in meetings

1 weekly report instead of 10+ status updates

Fewer emails per day requiring CEO's response

Our approach

First, we organized the information sources used by the CEO and his immediate circle. We analyzed the rhythm of meetings, the way managers reported, the decision-making process , and the moments when the CEO most frequently wasted time manually piecing together information and context from multiple sources.

We then designed a set of agents specialized in specific tasks. One analyzed meetings and identified risks, another synthesized the most important changes of the week, a third organized tasks requiring CEO decisions, and yet another ensured that knowledge from discussions and agreements didn't get lost in Slack, emails, and notes.

This allowed the company's CEO to stop working in a self-checking mode. Instead of sifting through dozens of messages, notes, and reports, he received organized summaries, clear priorities, and warning signs before a problem escalated.

Solution

01 Weekly team call report

We implemented an agent who analyzed team meetings and, at the end of the week, sent the CEO a report on the most important topics, roadblocks, and risks. Instead of attending every call or reading reports from managers, the CEO received a single, clear picture of the company and an indication of where his presence was truly needed.

02 AI prioritization agent

We created an agent that collected decisions, threads, and topics requiring the CEO's attention from various communication channels and then organized them into a single priority list. This meant that the CEO didn't have to independently identify what was truly important on a given day, but instead received a structured set of issues for decision, discussion, or delegation.

03 Monitoring operational risks

We designed a mechanism that detected recurring issues that emerged in manager and team conversations, such as delays, overloads, decision-making blockers, and communication gaps. The agent not only demonstrated the existence of the problem but also indicated its frequency, source, and potential impact on other areas of the company.

04 Structuring management knowledge

We implemented an agent that transformed meeting findings, messages, and notes into a structured knowledge base for CEOs and managers. This stopped key decisions, responsibilities, and prior agreements from getting lost in messaging, and allowed the company to return to a single source of truth instead of having to recreate the context from scratch each time.

Results

Greater peace of mind

The CEO stopped working in a mode of constant anxiety and manually checking whether everything was working.

Better management decisions

The CEO made decisions based on consistent signals, not the opinions of the most vocal managers or individual incidents.

Eliminating unnecessary meetings

Some meetings became unnecessary because the CEO received summaries in advance and only participated in those meetings where he could actually add value.

Less information chaos

Information from calls, messages and reports has been systematized.

Detect problems earlier

Operational risks, tensions between teams, and decision-making blockers are visible before they develop into major delays or conflicts.

Greater team autonomy

The president is less likely to intervene operationally in matters that can be handled by managers without his direct participation.