Control

Monitoring + Reliability + Governance

When something breaks, it is our problem. Exception handling, quality assurance, and continuous improvement built into every system we operate.

What it does

Accountability after deployment

Control is the reason we call it a partnership. We monitor, intervene, and improve the systems we build — indefinitely.

Alerts and escalation paths when automation encounters edge cases or failures.

Continuous quality checks on automated outputs before they reach your team or clients.

Operational metrics that drive decisions. SLA tracking, throughput, error rates.

We evolve the system as your operations change. No handoff. No maintenance contracts.

In production

Control runs alongside every Truvo deployment. It is not a separate product.

Control in production

99.7%

workflow completion rate

Read impact study →

AI where it matters

We use AI to detect anomalies, classify failures, and surface insights — with explicit escalation paths and audit trails.

Anomaly detection across workflow outputs and timing patterns.

Automated root-cause analysis with human escalation for ambiguous failures.

Audit logs and replayable decisions for accountability.

Drift detection when upstream systems or data formats change.

How we deploy

Step 1

We identify failure modes, SLAs, escalation paths, and quality thresholds.

Step 2

We instrument monitoring, alerting, and governance into every workflow we operate.

Step 3

We respond to exceptions, improve coverage, and report on system health continuously.

Tell us where your operations need reliability. We'll map the failure modes and propose a monitoring plan.