Service · Monthly
Managed Run
Monitoring, refinement and a monthly KPI review for workflows in production, so they keep performing after go-live.
01Why
Agentic workflows degrade quietly
The input mix shifts, a supplier changes an invoice format, a model version is retired, the team stops trusting the drafts. Someone has to watch the numbers, fix what drifts, and report on it. Managed Run is that someone.
02Typical triggers
When this service fits
- 01
A workflow is live and nobody looks at the numbers
- 02
The team complains about quality and nobody can trace the cause
- 03
Model, price-list or process changes break the agent without anyone noticing
03Scope
What Managed Run covers
- 01
Weekly performance and quality monitoring
- 02
Issue triage with defined response times
- 03
Refinement backlog and releases
- 04
Adoption support for the team
- 05
Monthly KPI report and review
04Outcome
What you see every month
- 01
Performance you can see, monthly, in numbers
- 02
Drift caught before the team notices it
- 03
A backlog that improves the workflow, not a ticket queue that slows it down
05Deliverables
What you receive
- 01
Monthly report: volumes, automation rate, release rate, corrections, cost per case
- 02
Issue log with cause, fix and time to fix
- 03
Refinement backlog agreed with the workflow owner and shipped in releases
- 04
Quarterly review with the sponsor: KPIs against the business case, next candidates
- 05
Model, prompt and integration changes tested and documented before release
06Engagement model
How the engagement runs
01Weeks 1–3
Onboarding
Monitoring, alerting and reporting set up. Response times and escalation paths agreed.
02Monthly
Run
Monitoring, issue handling, refinement releases, KPI report and review with the owner.
03Quarterly
Review
KPIs against the business case with the sponsor. Decision on the next workflows.
07Questions
Common questions
Do you only run workflows Cortaris built?
How is Managed Run priced?
What response times apply?
Who owns the improvements?
How do you work with our IT?
What has to be in place on our side?
Where are you based and where do you work?
08
Where to go next
Use case
Document processing
Invoices, order confirmations and certificates read, checked against order and master data, posted. Exceptions to a person.
Insight
Who owns the agent? An operating model for AI in operations
An agent in production needs six decisions made and written down: who owns the output, who may change it, who watches it, who decides when it is unsure, who signs off risk, and who pays.
Method
How we work
Five principles, the first 90 days, and what we don't do.
Next step
Strategy call
30 minutes. You bring the workflow, we tell you what it takes.