AI Monitoring & MLOps

Catch drift before your customers do.

We track the accuracy, cost and behavior of every model and agent you run, and keep them improving with controlled retraining, testing and release.

Request an AI health check What we watch

Demand forecast model

Illustrative

Accuracy Recovered

Cost / day Within budget

Version v2.4

● Input pattern shift detected · new SKUs

● Retrained and validated on holdout set

● Approved release · rollback ready

The challenge

A model that was right at launch can be wrong six months later.

Customer behavior shifts, suppliers change, new products arrive. Agents hit cases nobody tested. AI costs climb as usage grows. Without monitoring, you find out when a forecast misses or a customer complains.

What we do

Full visibility, and a disciplined way to improve.

Accuracy and quality tracking

Measure model and agent output against real outcomes, continuously.

Drift detection and alerts

Spot shifts in input data and output quality, with alerts before they cause harm.

Cost and usage monitoring

Track AI spend by model, agent and team, and tune prompts and routing to control it.

Agent behavior monitoring

Review actions, escalations and failures to find where agents need tuning.

Retraining pipelines

Automated, repeatable retraining on fresh data, validated before release.

Evaluation and testing

Regression tests for every model, prompt or agent change before it ships.

Versioning and safe rollback

Every model and prompt versioned, with one-step rollback if a release underperforms.

Executive reporting

A monthly view of AI performance, cost and risk that leadership can act on.

The MLOps loop

A continuous cycle, not a one-off fix.

Monitor

Accuracy, drift, cost and behavior, live.

Detect

Alerts when metrics cross agreed thresholds.

Diagnose

Find the cause: data, prompt, model or system.

Improve

Retrain, re-prompt or fix, then test.

05 ↺

Release

Approved, versioned deployment, then back to monitoring.

What you get

Monitoring dashboards for every model and agent

Alert thresholds and escalation rules

Automated retraining and evaluation pipelines

Model and prompt version registry

Monthly performance, cost and risk report

Audit trail that supports your AI governance

Who it’s for

Businesses with AI already in production, whether we built it or someone else did, and IT teams that need AI to meet the same reliability standards as their other systems.

What we monitor

Forecasting models AI agents Copilots and chat assistants Document extraction Anomaly detection Third-party AI features

FAQ

Common questions

Can you monitor AI that another vendor built?

Yes. We start with a health check of what’s running, then add monitoring around it, whoever built it.

What is drift?

Drift is when the real world changes so a model’s inputs or results no longer match what it learned. Accuracy falls gradually, often without any error message.

Do you monitor generative AI and agents, not just ML models?

Yes. We track answer quality, actions taken, escalations, cost and safety for agents and copilots, as well as classic model metrics.

Which tools do you use?

We work with your cloud platform’s native tools where possible, and add specialist monitoring only where it adds value.

LET'S TALK

Start with an AI readiness conversation.

Tell us what you'd like AI to change in your business. We'll come back with an honest view of where to start — and where not to.

info@seashore.solutions +1 737-293-2589 Austin, TX