Managed Automation Ops
Ongoing monitoring, iteration, documentation, and improvement of live AI automation workflows.
Book AI auditProblem this solves
Managed Automation Ops is for teams losing time to repeated handoffs, scattered tools, unclear ownership, and manual updates that should be visible and reviewable.
What TigerNellyOS builds
Automations that are maintained, observed, and improved after launch.
- Run monitoring
- Change logs
- Monthly improvements
Example workflows
- Managed Automation Ops intake and classification
- Managed Automation Ops summary with owner assignment
- Managed Automation Ops update routed into the right system
- Managed Automation Ops exception flagged for human review
Tools and integrations
HubSpot
Connect HubSpot into practical AI automation workflows with clear triggers, approvals, logging, and monitoring.
View details IntegrationSalesforce
Connect Salesforce into practical AI automation workflows with clear triggers, approvals, logging, and monitoring.
View details IntegrationPipedrive
Connect Pipedrive into practical AI automation workflows with clear triggers, approvals, logging, and monitoring.
View details IntegrationGoogle Workspace
Connect Google Workspace into practical AI automation workflows with clear triggers, approvals, logging, and monitoring.
View details IntegrationMicrosoft 365
Connect Microsoft 365 into practical AI automation workflows with clear triggers, approvals, logging, and monitoring.
View details IntegrationSlack
Connect Slack into practical AI automation workflows with clear triggers, approvals, logging, and monitoring.
View detailsImplementation process
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.
Security and approval notes
- Human approval can be required for sensitive actions.
- Workflow logs make actions and failures easier to review.
- Source-grounded answers reduce unsupported outputs.
- Data minimisation keeps workflows focused on required inputs.
- Monitoring and error alerts support managed operations.
Related AI agents
Lead Qualification Agent
Qualifies inbound leads, enriches records, and prepares next actions for sales review.
View details SupportSupport Triage Agent
Classifies tickets, detects urgency, drafts summaries, and routes work to the right queue.
View details KnowledgeInternal Knowledge Agent
Answers team questions from approved internal sources with citations and permission-aware retrieval.
View detailsCommon questions
How quickly can Managed Automation 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.
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