From Operations to the CEO: Efen Marine Turned Copilot into a Work Tool with Method
Client | Efen Marine (marine fuels for oil, gas, and offshore support navigation) |
Participants | Around 15 people, from operational staff to the CEO |
Format | 8 sessions, 2 per week |
Outcome | 100% attendance across all 8 sessions + Copilot deployed with method and human validation |
IMAGE · OPENING
Photo of the Efen Marine group gathered, including the CEO, in one of the in-person sessions.
Wide horizontal format. The presence of the CEO alongside the team is the key differentiator to highlight.
1. Context
Efen Marine provides marine fuels to the oil, gas, and offshore support navigation sectors. When they approached AutoU, they already held enterprise licenses for Microsoft 365 Copilot, but usage was ad-hoc and loosely grounded, confined to isolated cases without meaningful impact or customization.
The decision to contract the program was strategic. Efen wanted to stop treating AI as an occasional novelty and embed it consistently into each employee's daily routine. The goal went beyond teaching prompt commands: it was about giving purpose and methodology to a tool the company already owned. The central challenge was low AI literacy—a dual need spanning practical execution in daily roles and strategic insight into which processes could be automated.
The cohort was diverse in roles, seniority, and technical familiarity, presenting both a challenge and an opportunity. The challenge was catering within a single program to both operational executors and executive decision-makers. The opportunity was rare: with the CEO and operational teams learning side by side, practical tool usage and strategic organizational vision could be aligned in the exact same conversation.
2. How we did it
The program comprised eight sessions, two per week, lasting 1.5 to 2 hours each. Most were held remotely, with two in-person milestone sessions, accompanied by four AutoU facilitators throughout. Sessions were live and hands-on: facilitators demonstrated techniques and participants replicated each exercise on their own machines, using the exact tools they would apply at work. Each class included dedicated materials, sample documents, and a prompt playbook.
Because the course was fully customized, the agents and examples used in class emerged from real Efen scenarios. A substantial portion of the curriculum was guided by a brainstorming session conducted on day one, surfacing the participants' actual ideas and pain points.
One core principle anchored the entire workshop: AI was presented as an assistive productivity multiplier capable of generating tangible results only when paired with human validation. Technology accelerates and expands output, while the human remains responsible for checking, refining, and signing off. Most time was dedicated to day-to-day Copilot workflows, with agent building representing the advanced tier. Learning spanned six core modules:
Module | What the cohort covered |
|---|---|
Foundations and prompts | What generative AI is, the market landscape, and effective prompt engineering—defining role, context, format, and few-shot examples for predictable outputs. |
Copilot in daily work | Using Copilot across Teams, Outlook, and Office to summarize meetings, process emails, analyze spreadsheets, and draft documents/presentations, distinguishing between Work and Web modes. |
Security and reliability | Risks of data oversharing, prompt injection, and hallucinations, applying verification habits such as requesting confidence levels, enforcing citations, and tracing numbers to source files. |
Cross-app workflows | Chaining multiple applications into single workflows, carrying data from Outlook threads straight into structured Excel analyses. |
Advanced Word & PowerPoint | Controlling tone and styling, multi-step drafting, and asking AI to critique its own output against clarity and coherence criteria. |
AI Agents | Collaborative building of agents for real Efen operational needs, highlighting an email triage and draft-reply agent with mandatory human review before sending. |
IMAGE · COPILOT IN DAILY WORK
Shared screen showing Copilot in action in Outlook or Excel, or a slide from the prompt playbook used in class.
Screenshot of the tool or support material.
3. Results
Engagement was absolute, with 100% attendance maintained across all eight sessions. For a diverse cohort spanning operations to leadership, this is a remarkable indicator of commitment.
Before | After |
|---|---|
• Sporadic Copilot usage without method, treated as an occasional novelty | • Methodical daily usage with reusable prompts and mandatory pre-use validation |
A notable outcome emerged mid-program: autonomy in spotting opportunities. As participants grasped the tool's mechanics, they began proposing applications independently, with many testing ideas immediately between sessions.
TO CONFIRM · OUTCOME METRICS
Post-program satisfaction scores, perceived productivity gains, and ongoing adoption rates are being consolidated.
IMAGE · IN-PERSON SESSION
Photo of one of the two in-person sessions with the cohort.
TO CONFIRM · QUOTE PENDING APPROVAL
Quote from CEO Rafael Pinheiro: “We feel there was very meaningful value added to the team, and I believe we will soon see the fruits of what was planted here.” (Rafael Pinheiro, CEO of Efen Marine).
4. Key Learnings
The clearest takeaway is that in most cases, what separates a professional from achieving productivity gains with AI is simply a practical grasp of the concept. The topic often arrives shrouded in mystique and misconceptions, but that barrier falls quickly. Once someone truly understands what the tool does and how it fits their workflow, they autonomously propose where to apply it. The adoption bottleneck is rarely technical—it is about familiarity: the gap between non-use and effective use is narrow, but no one crosses it without hands-on practice.
The second learning was recognizing that in the AI era, different user profiles coexist, and all carry value. Some excel at embedding the tool into standard routines, others stand out by automating complex workflows, and leadership develops the strategic perspective on broader organizational impact. Bringing these profiles into the same room—such as Efen's operational staff and CEO learning side by side—enables simultaneous progress on daily execution and strategic direction. A company does not have to choose between upskilling makers and guiding decision-makers: both can be accomplished together when both sit in the same room.