Automation design & setup
New automations scoped, built and documented with your team.
AI automation management — automation design, bot management, integration monitoring, exception handling and reporting — so automation stays reliable as it scales.
Automation breaks quietly. APIs change, webhooks fail, credentials expire, UI elements shift and bots silently stop working — while downstream teams assume the automation is still doing its job. The work of building automation is one thing; the work of keeping it reliable is another.
Opervics runs AI automation management as a managed function — automation design, bot management, integration monitoring, exception handling and reporting — so automation stays reliable as it scales across functions.
New automations scoped, built and documented with your team.
Existing bots monitored, updated and kept aligned with process changes.
APIs, webhooks and connectors watched for failures and schema drift.
Failed runs triaged, corrected and returned to flow — with reviewers.
API and tool spend monitored — anomalies flagged before they compound.
Runs, success rate, exception rate, cost per run and incident summary.
These are the same operational issues we see across clients — and the same ones our process is designed to remove.
Bots stop running without alerts — downstream work stalls.
API changes break connectors — nobody notices until data goes missing.
Exceptions grow in a log nobody reads — no one owns handling them.
API keys, tokens and OAuth grants expire silently and kill automation.
API and tool spend grows with no visibility or controls.
Nobody knows success rate, exception rate or cost per run.
Every service inherits the same baseline security posture, then adds service-specific controls on top.
Access, change management, monitoring and incident response aligned to SOC 2.
Scoped access to bots, integrations and credentials — auditable and reviewed.
All automation changes logged, reviewed and reversible.
Runs, success rate, exception rate and cost per run reported weekly.
Zapier, Make, n8n, UiPath, Power Automate, custom scripts, LLM-driven bots and internal platforms.
Both — most engagements include a mix of new builds and management of existing automations.
Failed runs are triaged, corrected where possible and escalated with reproduction details to your team.
Monitoring on runs, integrations and credentials — with alerts when success rates, latency or volumes drift.
Runs, success rate, exception rate, cost per run and incident count — reported weekly.
Per automation, per volume band, or as a monthly retainer — agreed upfront.
A short conversation is usually enough to scope the automation surface and propose a starting point.