AIOps & Cloud Cost Automation

Automated Cloud Cost Monitoring and Anomaly Detection

Uncontrolled cloud spend is rarely a tooling gap; it is a visibility gap. We deploy automated cost monitoring that tracks spend across accounts, services, and environments in near-real time. Budget alerts fire before thresholds are breached, and anomaly detection flags unexpected spikes the moment they deviate from established baselines.

The system distinguishes between legitimate growth and waste. A new deployment scaling up for a product launch looks different from an orphaned GPU instance burning money over a weekend. Alerts carry context: which team, which service, which change introduced the cost delta.

Fry Express configures these controls to match your organisational structure, so cost signals reach the people who can act on them without flooding shared channels with noise.

AI-Specific Cost Tracking for LLM and Inference Workloads

Cloud cost tools were not built for AI workloads. Token consumption, inference latency, and model performance create a cost surface that traditional monitoring misses entirely. We instrument LLM token usage and inference cost tracking alongside model-level performance metrics so you can correlate spend with output quality.

This gives you the data to answer questions that matter: which model delivers acceptable quality at the lowest cost, where prompt design is wasting tokens, and whether a cheaper model could handle a given traffic tier. Cost-per-query and cost-per-task become first-class metrics, not afterthoughts.

The result is a cost model that treats AI spend as an engineering variable you can optimise, not an opaque line item on a monthly invoice.

Agent-Driven Remediation With Infrastructure Analytics

Alerts without action are just noise. We build agent-driven remediation workflows that respond to cost and infrastructure anomalies with predefined actions: scaling down idle resources, rightsizing over-provisioned instances, or pausing non-critical workloads during budget pressure.

Every remediation action is backed by infrastructure usage analytics that quantify the impact before and after execution. You see exactly how much a given action saved, which resources were affected, and whether service-level objectives were maintained throughout.

Fry Express designs these workflows to be incremental. You start with low-risk automations and expand scope as confidence grows. No workflow runs without clear ownership and a defined rollback path.

Security Governance for Cost Automation

Automated remediation that lacks guardrails is a liability. We implement approval gates, blast-radius limits, and rollback plans for every automated action that modifies infrastructure. High-impact changes require human approval; low-risk actions execute within defined boundaries and log every step.

Blast-radius controls ensure that a single automation run cannot affect more than a defined percentage of capacity or budget. Rollback plans are tested, not theoretical. If an automated action degrades service, reversal is immediate and auditable.

This governance layer means your security and compliance teams can approve automation with confidence rather than blocking it out of caution.

Embedding Cost Intelligence Into Daily Operations

Cost insights are only useful if they reach the teams making daily decisions. We integrate AI-driven cost reporting into the tools your engineers already use: dashboards in your observability stack, weekly summaries in Slack or Teams, and cost annotations on pull requests that introduce infrastructure changes.

This shifts cost awareness from a monthly finance review to a continuous engineering practice. Teams see the cost impact of their decisions at the point where they can still change course. Over time, cost-efficient choices become habitual rather than reactive.

Together, these deliverables create a closed loop: spend is visible, anomalies are caught early, remediation is automated and governed, and cost intelligence is embedded where decisions are made. The outcome is predictable cloud and AI spend that scales with your business rather than ahead of it.