Free 20-minute consultation ↗
Keep it running

Managed automation services that keep live workflows dependable.

Managed automation services keep production workflows visible after launch. OpSmith monitors failures, reviews exceptions, updates changing rules and helps the system keep pace with the operation it supports.

Discuss managed support ↗Business automation solutions
What OpSmith builds

Production systems need ownership after the launch date.

A reliable workflow includes monitoring, recovery and a clear person responsible for deciding what happens when the business or its inputs change.

Monitoring and alertsWatch the handoffs that matter and surface failures, missing inputs or unexpected patterns before they quietly accumulate.
Exception reviewSeparate temporary failures from new business rules, then decide whether the system, process or human handoff should change.
Maintenance and model updatesReview integrations, prompts, classifications and dependencies as software, data and operating requirements evolve.
Operating visibilityGive stakeholders a practical view of workflow volume, failures, recovery work and the next improvement worth considering.
From current state to working system

Keep the system observable, recoverable and understandable.

Managed support is designed around the importance and failure modes of the workflow—not a generic promise that automation will run forever without attention.

01

Detect and contain failures

Use alerts, logs and clear ownership so the team knows when the workflow needs attention and what remains safe to continue.

02

Resolve new exceptions

Review unusual inputs, policy changes and edge cases without allowing an automated step to invent a customer or operational decision.

03

Improve from operating evidence

Use real volume, error and handoff data to prioritize small changes that make the live system more dependable over time.

Managed operations in practice

Define what is monitored, who responds and how the workflow recovers.

Managed automation is an operating responsibility: observe important events, contain failures, resolve exceptions, document changes and improve the system using evidence from production.

Failure monitoring and containment

Inputs
Workflow run status, error details, affected records and business-impact rules.
Output
An owned incident with the affected step contained and safe work preserved.
Approval point
The business owner confirms customer, financial or operational recovery decisions.

Exception-queue review

Inputs
Low-confidence inputs, policy exceptions, failed matches and unresolved human tasks.
Output
A resolved record, documented rule decision or prioritized change request.
Approval point
The accountable process owner decides new business rules and consequential exceptions.

Integration and rule change review

Inputs
API changes, permission updates, revised forms, pricing or policy changes and representative tests.
Output
A tested release, rollback plan and updated operating documentation.
Approval point
The system and process owners approve changes before production release.

Monthly improvement review

Inputs
Volume, failure, exception, intervention and recovery data.
Output
A prioritized list of small improvements with expected impact and complexity.
Approval point
Stakeholders choose which changes are worth introducing into a stable workflow.
Before and after

Make the operating change visible before implementation.

The goal is not “more AI.” It is a shorter, clearer path from a real input to an accountable result.

BEFORE · MANUAL
  1. A workflow fails quietly until a customer or employee notices.
  2. Someone reruns steps without knowing what already completed.
  3. New exceptions are solved differently each time.
  4. Integrations and prompts drift away from the business process.
AFTER · CONTROLLED WORKFLOW
  1. Monitor defined events, dependencies and customer-impact indicators.
  2. Contain the failure and preserve a safe, traceable recovery state.
  3. Route exceptions to an owner and document repeated rule decisions.
  4. Test and release improvements against production evidence and a rollback path.
Existing systems

Connect the tools already carrying the work.

  • Automation and integration layerWorkflow runs, schedules, APIs, webhooks, queues and dependency status.
  • Alerting and work managementNotifications, incident tickets, owners, priorities and recovery tasks.
  • Systems of recordCRM, accounting, document, project and operational platforms affected by the workflow.
  • Documentation and change controlRunbooks, decision history, test inputs, versions and rollback instructions.
Exceptions

Design the recovery path before launch.

  • Expired credentials or changed permissionsContain affected actions, notify the owner and restore access without bypassing approved controls.
  • Schema, API or vendor changePause unsafe writes, test the revised integration and release with a rollback path.
  • New business rule or model driftSeparate a process decision from a technical defect and require the accountable owner to define the new rule.
Measurement

Know whether the workflow improved.

  • Successful run rateMeasure completed business outcomes, not only whether software returned a success code.
  • Mean time to detect and recoverTrack how quickly important failures become visible and return to a safe operating state.
  • Exception age and recurrenceMonitor unresolved queues and repeated patterns that deserve a system or process change.
  • Manual interventionsCount recoveries and overrides to identify fragile steps and hidden operating cost.
Why ownership matters

Connected customer journeys have more than one point of failure.

The house-wrap system joined visualization, selections, quoting and follow-up. A workflow spanning several steps and systems needs visibility, documented recovery and a person responsible for deciding how exceptions should be handled.

Custom visualizer and quote automation case study
Authoritative references

Requirements to consider during workflow design.

These sources are starting points for the responsible owner and do not replace legal, privacy, safety or professional advice.

Canadian Centre for Cyber SecurityNetwork security logging and monitoring
The operational outcome

A maintained operating system that gets better instead of quietly degrading.

Your team keeps a documented recovery path and a clear support relationship. Improvements are based on actual operating evidence rather than a cycle of unnecessary rebuilds.

Mapthe current workflow and its true cost
Buildthe smallest dependable improvement
Improvethe system using real operating evidence
Questions before you invest

Make the operating decision with clear expectations.

Does every automation need an ongoing managed plan?

No. Some narrow workflows can be documented and owned internally. Managed support is most useful when a process is important, changes often or depends on several systems and exception paths.

What happens when a workflow fails?

The appropriate response depends on the process. A reliable design can pause a risky action, alert the responsible person, preserve the input and provide a clear recovery path.

Can OpSmith support automations built by someone else?

Potentially. The first step is to review the current documentation, access, dependencies, error history and ownership before accepting responsibility for a production system.

How are improvements prioritized?

Changes are evaluated against business impact, recurrence, risk and the cost of leaving the current process unchanged. Not every edge case should become new complexity.

Continue your research

Related OpSmith services and proof.

Use the methodology

Make the operating decision with practical evidence.

These workflow automation resources and guides explain the assessment and operating controls behind the service.

You do not need a perfect automation plan.

Bring us the process your team keeps working around. We will help you find the most useful place to start.

Discuss managed support ↗