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Ops Automation
A productized system to remove admin hours by automating intake, task creation, handoffs, and recurring processes.
System focus
Reliability over hacks
Queues • retries • logging
Primary outcome
Less admin hours
Standardized intake + routing
Visibility
Nothing “falls through”
SLA timers + escalation
What’s included
Productized delivery
- Process mapping: trigger → steps → owner → SLA
- Automation build (n8n / integrations)
- Queues + retries for reliability
- Notifications and escalation rules
- Audit log and error reporting
Tool stack
Airtable
Slack
Google
Custom Webhooks
OpenAI/Gemini/Claude Per Use Case
Standardized Intake
One entry point that captures the right context every time — category, urgency, owner, SLA, and attachments.
Schema + validation rules
Auto enrichment (optional)
Routing by rules/AI
Requester confirmations
Ops Queue
Centralized status with “queued → in progress → done.”
Prioritization
Ownership
Due dates
Audit + Alerts
Traceable runs + actionable failures.
Run IDs
Error snapshots
Escalations
Visual demo
Scenario → workflow map → outputs → audit log (what clients actually “get”).
ok
retry
escalated
Workflow map
Trigger → steps → owner → SLA
Outputs
Ops board
auto-created tasks
Audit log
every step is recorded
What this replaces
Example pipelineBefore
- • Requests scattered across channels
- • Manual copy/paste into tools
- • Unclear owner + silent drops
- • “Status check” meetings
After
- • One intake → structured request
- • Auto routing + task creation
- • SLAs + escalation rules
- • Full logs + retries
How projects usually go
Week 1
Define
Map process + inputs/outputs + SLAs.
Week 2
Build
Workflows + integrations + logging.
Week 3
Deploy
QA + handoff + monitoring.
Outcome
Admin hours shrink because the process becomes predictable — and measurable.
What we won’t do
We won’t “automate chaos.” If the process is undefined, we’ll define it first — then automate the reliable version.