AI Utilization
AI Utilization.
The real gains are in daily work.
The one AI lighthouse project is not what decides it. What decides it is whether every single employee uses AI in a way that makes daily work easier, faster or simply better.
Most people use AI as a
better search engine.
Those who have access to a company chatbot mostly use it to search, phrase e-mails, polish documents and translate. And far from everyone has access at all. The real value stays with a handful of key users.
Efficiency does not come from chatting.
It comes from skills & agents.
Three easy steps to better AI utilization. Every employee can do all three, with the no-code on-board tools we already have or could have.
Use it right
Good prompts, the right model for the task, documents as context. Minutes saved every day. By everyone.
Build your own agents & skills
Turn a recurring task into a reusable skill. No code, directly in Possehl GPT or the chatbot at your availability. Build once, benefit daily.
Tap into existing agents
Possehl GPT and other chatbots at your availability already offer agents built by colleagues or built for tasks like yours. You review the result instead of doing the work.
than typing.
The underrated lever: Work more with your voice. Dictate instead of typing: on the go, between meetings, right after the call. The AI turns the spoken thought into the finished e-mail, note or task.
I have been getting through my writing about three times faster lately. The trick is simple: I speak, the AI writes.
Give it a try this week. Dictate your next mail instead of typing it.
Best regards,
Calvin
wrap-up agent.
Drop in the transcript. The agent returns structured minutes, clear action items with owners and a drafted follow-up e-mail. Your role and tone, your spellings and your minutes structure are built into the skill, so the draft already sounds like you.
- Minutes: 6 topics, decisions highlighted
- Action items: 5 tasks with WHAT, WHO, BY WHEN
Thanks for today. The minutes are attached, decisions marked.
Five action items with owners and due dates. Please check yours by Friday.
Best regards,
Calvin
One spreadsheet out.
Upload the three source documents. The skill lifts every figure into your agreed Excel structure, checks the result for plausibility and asks back where something does not add up. The target format is defined once. From then on the skill knows what to look for.
Think about your own personal AI roadmap.
Four questions are enough to start today, for everyone:
What is hardest every day?
What keeps eating time and annoys you? That is your first candidate.
What could automation look like?
What would the result be if the task did itself? A rough sketch of the target picture is enough.
Which tools are available?
Possehl GPT is certainly at hand. Claude, Copilot, Dokko or n8n are worth checking for. The right tool may already be on board.
Ask the AI how to do it.
The simplest trick: Describe the task to the AI and ask it how to automate itself.
that answers back.
Contracts, manuals, machine data, service reports, maintenance reports, customer tickets: tons of data. AI reads them completely and answers with the source attached. Read deep. Act fast. Answers in seconds instead of search hours.
📄 Source: Maintenance contract K., §9 (2), p. 14
writes itself.
Every Friday the agent collects the week’s figures and notes, drafts the status report in your structure and flags what needs attention. You review, adjust one line, send.
- Production & order status: on track
- 2 topics flagged for attention
- Draft in your template, ready for review
and the chain runs.
Apple Shortcuts kick things off, n8n orchestrates in the background: A dictation becomes finished minutes, news becomes the morning briefing, e-mail and calendar routines run automatically.
Dictation on Watch or iPhone
Transcribes & structures
5-block minutes are created
Draft is waiting
Big savings per person,
an even bigger number for the company.
A deliberately conservative calculation:
that AI can take over
per week
per year
time invested better
An illustrative example. Your numbers will differ, so measure them: Every skill and agent carries a simple “hours saved” estimate.
A pragmatic approach
that actually works.
Access
Possehl GPT for everyone. Safe, governed and on-board. Other tools like Claude or Copilot where special needs call for them.
Empower
Practical enablement. Demonstrate how to use it right on real daily tasks and encourage people to find out for themselves. Let your key users become AI ambassadors.
Build
Everyone turns one routine task into a no-code skill or agent. One task per person is all it takes to start.
Share & scale
A shared library of skills, use cases and agents. Champions in every team, and every agent carries its “hours saved” number.
In a year you will not give AI tasks.
You will give it goals.
Today’s chatbots and single agents become personal digital colleagues. They know your working context and the company’s knowledge, they walk through the day with you and they stop waiting for the perfect prompt.
You prompt.
You ask, the AI answers. One good question at a time, and you carry the thread.
You assign tasks.
Skills and agents take over what repeats. You describe the job once, the result comes back.
You set goals.
The AI picks the skills and agents it needs, does the work and comes back where your experience, creativity or decision is required.
Start with the routine tasks.
This week.
We have the framework, the on-board tools and the use cases. You bring one task you never want to do manually again. Let’s use the full potential of AI.
Skills & projects:
How to start today.
It is not the model that makes the difference. It is the context you give it. Use these building blocks and you stop starting every chat from zero.
Claude
One project per topic: Store instructions and documents once. Every new chat starts with full context instead of from zero.
Reusable playbooks, e.g. “our proposal template”. Claude pulls the right skill automatically as soon as the task fits.
Claude remembers preferences and project state across chats. Less repetition, more continuity.
ChatGPT
Chats, files and instructions bundled per topic. Context is preserved across all conversations.
An assistant with fixed instructions and its own knowledge. Configure once, share with the whole team.
Store role, working style and tone centrally. It works in every chat. The cheapest quality jump there is.
The same principle with on-board tools: Build skills and agents no-code, centrally managed, secure, with Claude & GPT nodes.
Simplifier: Low-code apps with integration into your core systems (e.g. SAP), from our own portfolio. simplifier.io