Process management: The house of flying AIs
But I know how to use ChatGPT better than anyone!
You're not using generative AI properly.
Oh, you think so? - Myths about automation
1. "I'll automate everything in two clicks, and you won't have to worry"
Impossible. It requires actual planning.
2. "I'll build you a bespoke bot in a week"
They're generic templates dressed up.
3. "Create an automated YouTube channel and sit back"
Without quality content, it collapses.
4. "AI-powered social media calendar"
Comes across as robotic. You lose followers.
5. "Zapier/Make workflows and you're at the office having coffee"
They need constant supervision.
Things you can't trust
- Using public AI without knowing where your data goes.
- Ignoring GDPR → fines.
- Misconfigured bots → vulnerable to cyberattacks.
- The "miracle solutions" rarely include security as standard.
Not everything is automatable
- Creativity is still human.
- Real customer service needs empathy.
- Team management requires human interaction.
- Negotiations depend on trust.
- Reputation management needs emotional context.
Artificial intelligence for smart people who aren't idiots
- Automate repetitive tasks, not the heart of the business.
- Support bots: start simple and scale.
- AI for data analysis, not decision-making.
- AI in document management (classification, filing).
- Always keep human control over the AI.
Tasks you can actually automate
| Task | Tool |
|---|---|
| Email auto-replies | Zapier + Gmail |
| Social media scheduling | Buffer |
| FAQ bots | Tidio, Intercom |
| Data analysis | Google Analytics, Looker Studio |
| Document management | M-Files |
| Semi-automated workflows | Asana + human oversight |
Private, in-house AI without security headaches
- Choose an open but non-public model: GPT-Neo (EleutherAI), GPT-J, TensorFlow, PyTorch.
- Proper infrastructure (GPU/private cloud).
- Comply with security and privacy regulations.
- Train on your own data.
- Access control (RBAC, MFA).
- Continuous maintenance and updates.
- Avoid unnecessary external services.
Security measures
- End-to-end encryption
- Regular audits
- Multi-factor authentication (MFA)
- Role-based access control (RBAC)
- Constant updates
- Threat monitoring
ChatGPT's recommendations (included in this article)
- Don't share sensitive data with public AI.
- Secure HTTPS connections.
- Review privacy policies.
- Private solutions for critical data.
- Limit to non-critical tasks.
- Use temporary chats when possible.
CTAs
- Form: "Shall we get started?" (Name + Email + policy)
- "Book my appointment"
- WhatsApp me
- Related courses: Generative AI, Process Management
