Automation covers a spectrum, from simple software rules to physical robots.

Software automation (the easiest place to start)

– Workflow automation: tools like Power Automate or Zapier move data and trigger tasks between apps

– Robotic process automation (RPA): software “bots” that mimic repetitive clicks and keystrokes in legacy systems

– AI assistants and agents: drafting, summarizing, and handling first-line requests, with human oversight

– Scheduling, invoicing, and reminders that run themselves

Physical automation

– Warehouse and logistics: autonomous carts, sorting systems, and inventory scanners

– Manufacturing: collaborative robots (“cobots”) that work alongside people

– Food service and cleaning: specialized robots for repetitive tasks

– Quality inspection with cameras and AI

Good candidates for automation

– High-volume, repetitive, rule-based tasks

– Tasks with frequent errors or delays

– Work that wastes skilled people’s time

– Processes with clear steps and data

Poor candidates

– Rare, complex, or constantly changing tasks

– Work needing judgment, empathy, or creativity

– Processes that are not yet understood or documented

How to start

1. List repetitive tasks and estimate time spent

2. Choose one with clear savings and low risk

3. Map the process, then simplify

4. Pilot, measure, and refine

5. Document and assign an owner

6. Secure it: automations often hold credentials and access to data

Considerations

– People: explain that the goal is to remove drudgery, and invest in retraining

– Cost: include setup, licenses, maintenance, and support

– Reliability: plan for when the automation breaks

– Governance: know who can build automations and what they can access

Skills reality

Canada’s businesses report difficulty recruiting skilled employees, so automation can help teams do more with the staff they have.

DBR Soft can help identify and build automations that pay for themselves. Contact us for more information.