ONGOING OWNERSHIP
Operations Monitoring
Scoped after Discovery Call • OngoingOperational systems degrade without ownership.
This service ensures reliability, performance, and evolution as the business changes.
Systems that aren't owned decay. Every time.
Building operational systems is the beginning, not the end. Without ongoing ownership, every system degrades: workflows drift, AI performance decays, edge cases accumulate, and small issues become big problems.
Operations Monitoring & Continuous Control is how Stratum maintains responsibility after implementation. We monitor, tune, evolve, and own the operational health of systems we've built.
This is not "support." It's active operational ownership—the difference between a project and a platform.
Why This Matters
- -Workflows change as business conditions change
- -AI models drift without calibration
- -New edge cases emerge as volume grows
- -Without ownership, problems compound until crisis
Common Symptoms
Signs you might need this service
What we do
- —Workflow monitoring and incident response
- —AI performance tuning and optimization
- —Operational metrics and reporting
- —Continuous system evolution
- —Change impact analysis
What you get
- —Long-term system health
- —Proactive issue resolution
- —Operations that scale with growth
How It Works
Health Dashboards
We build real-time visibility into workflow health, AI performance, and system status.
Incident Response
We monitor for issues and respond proactively—before problems become crises.
Performance Tuning
We continuously optimize workflows, AI agents, and integrations based on actual performance data.
Evolution Planning
We plan and implement system changes as business needs evolve.
Capacity Management
We ensure systems scale appropriately as volume grows.
Quarterly Reviews
We conduct regular reviews of system health, opportunities, and strategic alignment.
The Transformation
Before
- -No visibility until something breaks
- -Gradual degradation goes unnoticed
- -Fear of changing systems
- -Problems compound over time
- -Implementations abandoned post-project
After
- +Real-time health dashboards
- +Proactive issue detection
- +Confident system evolution
- +Problems caught early and fixed fast
- +Continuous operational ownership
In Practice
Case Example
Real-World Application
Scenario
Multi-Location Healthcare Practice
The Problem
Six months after implementing patient intake automation, completion rates dropped from 94% to 67%. The practice didn't notice until patient complaints spiked.
The Solution
Under ongoing monitoring, we would have caught the drift at week 3 when completion rates first dipped. The root cause: a form field change that broke mobile submissions. With ownership, it's a same-day fix, not a 6-month degradation.
The Outcome
Practices under continuous control maintain 90%+ system health. Issues are caught in hours, not months.
Typical Results
99.9%
System Uptime
Target availability
<1 hour
Issue Detection
Average time to identify
<4 hours
Resolution Time
Average for critical issues
Is This Right For You?
Ideal For
- +Companies with production operational systems
- +Teams that need reliability, not just implementation
- +Organizations that want systems to improve over time
- +Businesses where operational failures have real costs
Not Ideal For
- -Companies without implemented systems to monitor
- -Organizations wanting to self-manage after implementation
- -Teams looking for project-based work only
Engagement Type
Ongoing
Ready to get started?
Start with clarity. No commitment required.