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Scenario · IT & systemsAutomation that does not call you at night
Healing Agent and AMS: a stable robot portfolio
An SAP screen changes and half your robot portfolio stalls? Healing Agent detects the interface change and repairs selectors on the fly, and our AMS team watches the whole portfolio so problems are caught before the business notices.
Executive summary
A 60-robot portfolio built over years; every source-system change breaks selectors.
Healing Agent repairs interfaces on the fly; Mientha's AMS team runs monitoring, fixes and evolution.
Fewer night alarms and stoppages; a predictable maintenance cost.
UiPath Orchestrator, Healing Agent, Insights; Mientha AMS 24/7.
A 60-robot portfolio, built over 5 years by three vendors
The robots run invoicing, payroll, reporting and logistics. They work until someone changes a screen, a field or permissions in a source system. Then the firefighting day begins.
The author of half the robots no longer works there. Documentation is partial. After a major SAP update, IT spends a week fixing selectors and new development stops.
The current reality
- SystemAn SAP update changes screen layouts
- Error riskRobots fail one after another at night
- WaitingInvoices and reports wait; the business calls in the morning
- HumanIT hunts for the robot's author and the documentation
- HumanManual selector fixes, robot by robot
- Error riskProcesses return after days; trust in automation erodes
The hidden cost of the current process
A robot failure costs twice: once in IT, once in the process that stopped.
- 48 engineer-hours a month on interface repairs (on average, excluding post-update spikes).
- Critical processes stall for hours before anyone notices.
- Fear of change: teams postpone system updates because they “break the robots”.
The cost of doing nothing
You pay for the automation once; the manual process costs you again every month.
The process after automation
- AutomationHealing Agent detects the interface change at the first error
- AutomationRepairs the selectors on the fly and resumes the process
- AutomationAMS monitoring 24/7 watches every portfolio and queue
- HumanPermanent changes are approved by an engineer, fully documented
- AutomationA monthly report: stability, utilisation, recommendations
What the automation handles
- Detecting and repairing interface changes on the fly
- Monitoring queues, licences and performance 24/7
- Alerts before unfinished queues touch the business
When a human decides
- Approving permanent robot changes
- Portfolio growth and new automations
- Architecture decisions and standards
Before
After
Value model: example assumptions
Business benefits
- Critical processes keep running while systems change
- IT stops firefighting, and returns to building
- A predictable monthly maintenance cost
- A portfolio documented and measured, independent of its authors' memory
Board-level KPIs affected
process uptime · incident count · mean time to repair · automation ROI
What management gains
- A monthly report: stability, utilisation, portfolio savings
- Hard data for decisions: which robot to grow, which to retire
- System updates stop being an operational risk
Estimate it for your organisation
An illustrative estimate based on your inputs. It models released capacity and is not a savings promise.
Systems in this scenario
Inputs
- UiPath Orchestrator
- Robot logs and queues
- Business requests
Mientha agentic layer
- UiPath Agent Builder
- UiPath robots
- Maestro™ · Action Center
Core systems
- SAP and source systems
- UiPath Insights
- ITSM
Human approval: Teams / Action Center
What we deliver
- A portfolio audit: stability, documentation, risks
- Healing Agent rollout on the highest-risk processes
- 24/7 monitoring with alerts and escalation thresholds
- Maintenance takeover from previous vendors
- Documentation completed with every fix
- A monthly stability-and-recommendations report
What we need to start
- Orchestrator access (log reading)
- The critical-process list and owners
- Existing documentation, in any state
- A service window for monitoring rollout
Implementation roadmap
Discovery
We map the process, data and exceptions with process owners.
Design
Target flow, business rules, approval thresholds.
Build
Agents, robots and integrations in your environment.
Validate
Tests on real cases, exception handling.
Go-live
Controlled rollout with human oversight.
Optimise
Monitoring, reporting and continuous improvement.
Duration depends on the number of systems and rules; a single process usually takes a few weeks.
Risk and controls
Autonomy under control
- On-the-fly repairs touch the interface only; business logic stays untouched
- Every permanent change engineer-approved and versioned
- A full repair history in Orchestrator
- Critical processes with a guaranteed response time
Why now
- Every next system update is the same week of firefighting
- The portfolio grows while the knowledge walks out with people
- Healing Agent changed maintenance economics; legacy AMS contracts do not reflect that
Why this matters to:
The automation portfolio stops being a black box left by past vendors.
Invoicing, payroll and logistics stop stalling after every system change.
Maintenance at a predictable rate, with fewer unplanned failure costs.
Questions we usually hear
We often take over portfolios from other vendors: audit, stabilisation, documentation. After a quarter the portfolio is documented and jointly maintained.
It repairs only selectors in the interface layer and leaves rules unchanged. Permanent changes still need an engineer's approval.
Then your team can build new automations while we take on-call duty, monitoring and repairs.
When this may not be the right solution
- A portfolio of a few simple robots: good documentation is enough
- Robots slated for retirement this year: do not invest in maintaining them
- No Orchestrator / central management: platform foundations first
A question for your next board meeting
Which critical process will stall at the next SAP update, and who finds out first: you or your customer?
Solutions in the library
The same process as an implementation plan
The scenario shows the process with an AI agent on an example company. Library solutions describe the same or a neighbouring process with a value model and an implementation plan.
A spreadsheet sample of a few hundred records is what currently stands between your migration and go-live.
See the solution IT & systemsEvery release regression-tested, including the phoneRegression is a checklist two people click through on the last afternoon before a release.
See the solution Service24/7 application support (AMS)We provide round-the-clock support (24/7/365) for any business-critical application, in factories and companies of any industry. We build dedicated…
See the serviceWe deliver it through our service AI agents on Microsoft Teams.
Industries with similar processes described: Retail & FMCG, Finance & insurance, Professional services & IT.
How many critical processes hang on robots nobody is watching?
A free review: we will read your Orchestrator logs and show where the portfolio is fragile.
Request a robot-stability review