Most AI systems degrade within 90 days of launch. Model drift, rising token costs, stale data pipelines, and silent failures kill ROI before your team notices. Kovil AI operates your AI systems so yours doesn't have to.
97%
average uptime
28%
token cost reduction
< 2 hr
drift detection time
48 hr
deployment to monitored
Free onboarding audit · No lock-in · 2-week trial included
Model Accuracy
94.2%
+1.3% vs last week
Inference Cost
$0.0031
-18% vs last week
Latency P95
287ms
-42ms vs last week
Hallucination Rate
1.8%
-0.4% vs last week
12
Systems monitored
0
Incidents this month
99.9%
Uptime SLA
Launching an AI system is step one. Keeping it healthy, accurate, and cost-efficient in production is the hard part — and it's where most organisations fail quietly.
Real-world data shifts every quarter. Models trained on yesterday's data produce degraded outputs today — often without any error thrown. Your AI looks working but accuracy has dropped 15–30% unnoticed.
Token costs compound fast. A poorly optimised RAG pipeline or over-provisioned context window can triple your monthly AI spend within six months. Most teams have no real visibility into where the spend is going.
Regulated industries require audit logs for every AI inference. Without structured logging, you cannot answer a compliance audit — or a client due diligence questionnaire. Silence is not a defence.
RAG indices go stale. Vector embeddings drift from your actual document corpus. Connectors break silently. Your AI answers questions with information that's six months out of date — and users lose trust.
Kovil AI embeds into your production AI stack as your operations team. We monitor, optimise, and improve your AI systems on a monthly retainer — so your engineers focus on building new things.
Continuous visibility into model accuracy, latency, token costs, hallucination rates, and data pipeline health. Real-time alerting before your users report a problem.
Monthly optimisation sprints targeting cost reduction, latency improvement, and accuracy uplift. We do not just watch the metrics — we move them. Average token cost reduction: 28% within 90 days.
Structured audit logging for every inference, compliance reporting for regulated industries, and guardrails that prevent your AI from producing outputs that create legal or reputational risk.
We document your current AI architecture, instrument monitoring, establish performance baselines, and identify the top 3 cost and reliability improvement opportunities.
Dashboards, alerting, and audit logging are configured and handed over. You have full visibility into your AI system health — often for the first time.
We deliver the first concrete improvement — typically a 15–25% token cost reduction or a measurable accuracy uplift. Proof of value before any longer commitment.
97%
average uptime across operated AI systems
28%
average token cost reduction within 90 days
< 2 hr
mean time to detect and alert on model drift
100%
IP ownership — all configs, logs, and dashboards are yours
All tiers include a free 2-week onboarding audit. No lock-in after the initial term.
Maintain
$2,000 – $4,000/month
Monitoring, alerting, and incident response. The baseline that prevents AI systems from failing silently in production.
Operate
$8,000 – $15,000/month
Full operations including optimisation sprints, data pipeline management, and continuous improvement — AI as a true managed service.
Accelerate
$25,000 – $50,000/month
Dedicated embedded operations team with engineering hours, model evaluation, compliance reporting, and AI roadmap advisory.
Kovil AI is headquartered in Austin and Garden City. We understand the compliance, regulatory, and operational demands of industries that drive the Texas economy.
Clinical AI that hallucinates or drifts is a patient safety issue. HIPAA audit logs are not optional.
PHI-safe monitoring, guardrails, and compliance-ready audit trails for clinical AI systems.
Document AI that degrades or produces incorrect outputs creates liability. Every inference must be auditable.
Structured audit logging, output drift detection, and human-in-the-loop checkpoints for regulated workflows.
Operational AI on rig, pipeline, and facility data cannot tolerate silent failures or stale models.
Real-time monitoring with anomaly detection, alerting pipelines, and on-call incident response.
Valuation, underwriting, and CRM AI tools need to stay accurate as market data shifts every quarter.
Monthly data refresh cycles, model re-evaluation, and benchmarking against live market data.
| Capability | Kovil AI | DIY / In-house | General Agency |
|---|---|---|---|
| Ongoing performance monitoring | |||
| Model drift detection & remediation | |||
| Token cost optimisation sprints | |||
| Incident response SLA | |||
| Compliance audit logging | |||
| RAG index & data pipeline management | |||
| Monthly improvement sprints | |||
| AI strategy & roadmap advisory |
Book a free 30-minute AI audit. We'll review your current stack, identify the top 3 health risks, and give you a clear picture of what's drifting, costing too much, or at compliance risk — no commitment required.
Free audit · No commitment · 48-hour turnaround on audit findings