How can you identify processes worth automating?
Learn which recurring tasks suit automation and where people still need to be involved.
AUTOMATION CANDIDATE
- Repeatable work
- Clear rules
- Automation candidate
INSIGHTS
Insights
Practical ideas, examples and articles on improving how businesses work.
Insights, practical examples and real digibit projects.
6 signs your business may have an integration problem
Learn whether the issue lies in disconnected systems, the data or the way work is done.
INFORMATION FLOW
- Separate systems
- Information is passed on
- Data in the right place
What should you automate before introducing AI?
See what to clarify in your process and data before adding AI.
FROM INFORMATION TO ACTION
- Information
- AI interprets it
- Person checks unclear cases
- Next step
When is automation enough, and when do you need AI or an AI agent?
When rules are enough, when AI interpretation helps, and when permitted actions need human oversight.
CHOOSE THE SIMPLEST SUITABLE APPROACH
- Clear rules
- Variable information
- Context + permitted tools
- Human review
Employee onboarding: a coordinated process from day one
A conceptual example of coordinating information, access and first-day tasks.
BEFORE · SEPARATE TASKS
- Emails
- Reminders
- Manual tracking
AFTER · CLEAR TASK PLAN
- Details checked
- Owners notified
- Outstanding tasks visible
Handling a purchasing request
A conceptual example of organizing and handling internal purchasing requests.
BEFORE · MANUAL
- Request
- Review
- Re-entry
- Approval
AFTER · CLEAR NEXT STEP
- Request
- Check details
- Send to owner
- Person approves
Supplier invoice processing: AI interprets, rules validate
A conceptual invoice workflow: AI interprets, rules validate, people review exceptions.
AI · SYSTEM · HUMAN
- Invoice
- AI interprets
- Rules validate
- Human reviews exception
An AI agent for customer service: clear rules and human oversight
A conceptual example: AI gathers information and prepares the next step, with a person overseeing important decisions.
INFORMATION · AI · HUMAN OVERSIGHT
- Customer information
- AI prepares a step
- Clear rules
- Person approves
Automating meter data from 16 buildings into Horizon
Across 16 buildings, the system checks 3,440 meter readings before sending them to Horizon.
16 buildings · 3,440 meters
MANAGEMENT ENVIRONMENTS
- Separate environment per building
- Excel
- Horizon
AFTER
- 3,440 meters
- Automatic
- Horizon
Equipment and fleet information in one system
Equipment, vehicle, document and maintenance records in one place.
15 vehicles · 50+ pieces of equipment
BEFORE
- Scattered sources
- Manual search
AFTER
- Asset
- One record
- History
Website, bookings and mobile app in one solution
A website, booking system and app create one customer journey.
78% returning clients in the latest 30-day period
BEFORE
- External platform
- Paid SMS
AFTER
- Website
- Booking
- App
- Updates
Steel structure design — from loads to drawings
RFEM, Tekla and Mathcad are connected across calculations, optimization and drawings.
5-person team · Several months → a few hours
BEFORE
- Structure model
- Manual calculations
- Drawings
AFTER
- Loads
- More design options
- Engineer reviews
- Drawings
There are no ideas or examples for this selection yet.