Marketing Ops
Automate campaign handoffs, content repurposing, reporting, and lead-source hygiene.
Book AI auditThe manual problem
Marketing Ops often depends on people copying data between systems, searching for context, and making repeated routing decisions without enough visibility.
The automated workflow
- Marketing Ops intake and classification
- Marketing Ops summary with owner assignment
- Marketing Ops update routed into the right system
- Marketing Ops exception flagged for human review
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View detailsExpected outcomes
- Marketing operations stay cleaner across tools.
- Campaign ops
- Content workflows
- Attribution cleanup
Implementation roadmap
Map
Review workflows, tools, data, bottlenecks, and ownership.
Design
Define automation rules, approval points, and success measures.
Build
Connect systems, agents, knowledge sources, and workflow logic.
Test
Validate with realistic data, edge cases, and human review.
Launch
Document the workflow and train the team.
Optimise
Monitor, improve, and expand the automation stack.
Common questions
How quickly can Marketing Ops be implemented?
Most first workflows start with an audit, then move into a scoped build sprint once data, approvals, and tool access are clear.
Can humans approve sensitive actions?
Yes. TigerNellyOS can design approval gates before messages are sent, records are changed, files are processed, or decisions are escalated.
Can this connect to existing tools?
Yes. The implementation is designed around your current tools, APIs, documents, CRMs, support systems, and collaboration platforms.
Find Your First 10 AI Automations.
We review your workflows, tools, bottlenecks, and data, then deliver a practical 90-day roadmap for AI agents and workflow automation.
Book AI audit