The Automation Opportunity
McKinsey estimates 60% of occupations have at least 30% of tasks that can be automated. For business operations, the figure is even higher.
Step 1: Audit Your Repetitive Tasks
Map every task your team does weekly and tag it:
- Manual data entry — copying between systems
- Status updates — notifying stakeholders of changes
- Follow-ups — sending reminders and check-ins
- Report generation — pulling numbers from multiple sources
- Approvals — routing requests for sign-off
Step 2: Prioritize by Impact × Frequency
| Task | Frequency | Time/Instance | Annual Hours | Automate? |
|------|-----------|---------------|-------------|-----------|
| Lead follow-up emails | 50/week | 5 min | 217 hrs | ✅ |
| Invoice reminders | 30/month | 3 min | 18 hrs | ✅ |
| Report compilation | Weekly | 2 hrs | 104 hrs | ✅ |
| Support ticket routing | 100/day | 2 min | 867 hrs | ✅ |
Step 3: Choose Your Automation Platform
Option A: Integration tools (Zapier, Make) — connect existing tools with rules
Option B: Native platform (Automo) — automation built into the data layer
The difference? Zapier moves data between siloed tools. Automo automates within a unified system — faster, cheaper, zero sync failures.
Step 4: Build Automations
Start with these high-ROI automations:
- Lead scoring and routing — AI scores leads, assigns to reps
- Invoice generation — deal closes → invoice sends automatically
- Support escalation — SLA breach → manager notified instantly
- Report delivery — weekly KPI email to stakeholders, auto-generated
- Task creation — new deal → project tasks created from template
Step 5: Measure and Iterate
Track hours saved per automation per month. Most teams save 15-25 hours per person per month within 90 days.
