What we mean by “Automation”

By Published On: January 21, 2024Categories: LearningTags: , ,

Business workflows can rapidly become cluttered quagmires slowing progress as companies scale. Like attempting to navigate a messy warehouse filled with chaotic machinery. AI automation promises to streamline even the most convoluted processes. But what lurks behind the curtain? Let’s first assess the different dimensions of intelligent automation, then put the pieces together to see how they transform operations.

AI Assistants – The Crystal Balls

AI assistants analyze historical patterns within company data to predict future needs and events. Using advanced machine learning algorithms, they effectively act like fortune tellers divining the best courses of action across areas like:

  • Forecasting upcoming customer demand for more accurate inventory orders
  • Identifying at-risk accounts most likely to churn so retention offers can provide proactive interventions
  • Surfacing erfolgre marketing messaging tailored to micro-segments during optimal buying stages

Consider AI systems the crystal balls providing actionable visions of what’s to come. But executing changes at scale requires automation.

Make & Zapier – The Software Robots

While AI assistants discern strategic insights, automation platforms like Make and Zapier are the virtual software robots that do the tactical heavy lifting to translate those insights into optimized workflows.

For example, an AI may predict a large inbound payment that triggers needing extra staff. Make could then automatically leverage that insight to:

  • Pull a list of qualified freelancers from a talent platform
  • Filter to those available during the upcoming rush
  • Send customized invites to apply along with pay rate details

Automations can stitch connections across all your software systems – think emails, calendars, support tickets, documents and more. Humans handle high-level decisions, Make and Zapier execute them efficiently.

Combining AI Guidance With Automated Processes

The real magic happens when pairing the predictive recommendations from AI with automated tasks implemented by Make and Zapier.

Suddenly you have the ability to dynamically construct intricate workflows spanning any software your business leverages based on data-backed intelligence highlighting the most mission-critical actions in any moment.

As an example for a retailer, this could look like:

  • AI anticipates low inventory levels on a top-selling product
  • Triggers Make to automatically reorder from supplier
  • When shipment confirmation received, Make sends optimized marketing campaign featuring those products directly from recommendation data
  • Automates personalized follow up emails to customers if orders not completed
  • Feeds all data and insights back to AI to inform future predictions

The result? Each element enhances the impact of the others for compounding results – turning once chaotic, rigid operations into flexible, intelligent processes.

Ready to explore whether AI automation could transform key areas of your business? Contact our specialists for a tailored demo showcasing the possibilities.

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