88% reliability sounds good. But 88% reliability means 12% of your agent's actions are wrong — and you probably don't know which 12%. We fix that in one week.
AI agents drift, hallucinate, and fail — and most teams don't have the tools or processes to catch it before it costs them.
Your agent generates wrong outputs, makes up data, or executes tasks you never intended — and you don't know until the customer complains.
Models update. APIs change. Usage patterns shift. Your agent's performance degrades slowly — and by the time you notice, it's been failing for weeks.
You have no dashboard, no logs, no alerts. Your agent is a black box. "Trust but verify" is impossible when you can't verify anything.
When your agent breaks, there's no quick fix. No snapshot to revert to, no runbook to follow. Every minute it's broken, it's doing more damage.
You spend hours every week reviewing agent outputs, fixing mistakes, and wishing you could just trust it. The time you saved on automation, you're losing on babysitting.
One hallucinated customer email, one corrupted CRM record, one bad decision based on wrong data — that one incident costs more than a year of proper guardrails.
Our 4-phase methodology turns unreliable agents into systems you can actually trust — in one week.
Full agent stack audit: configuration, permissions, tool access, prompts, model settings. We find every gap before it finds you.
Scope restrictions, least-privilege permissions, confidence thresholds, and human-in-the-loop checkpoints for high-risk actions.
Real-time action logging, success rate tracking, anomaly detection alerts. When your agent acts, you see it.
Rollback mechanisms, incident response runbook, configuration register. Tested and ready before you need them.
Six capability areas that cover the full reliability stack — from configuration to recovery.
Deep-dive audit of your entire agent deployment — prompts, model config, tool permissions, API access, and existing monitoring gaps. You get a written report with prioritized fixes.
Configure approval gates for high-risk actions — financial transactions, content publishing, account changes, data deletion. The agent proposes, a human approves.
Set minimum confidence scores that agents must meet before executing actions. Low-confidence actions are flagged, held, or escalated — not silently executed.
Track success rates, confidence trends, and action patterns over time. Alerts trigger when your agent's behavior starts degrading — so you fix it before it breaks.
Snapshot and restore points for agent configuration — prompts, model versions, tool sets. When something goes wrong, roll back to a known-good state in minutes, not hours.
Documented and tested incident response runbook. When your agent fails, you follow a calm, repeatable process — detect, isolate, roll back, verify, post-mortem. No more fire drills.
Start with a free scorecard or jump straight to a bulletproof setup. Managed for teams that never want to worry again.
✦ Annual Managed: $1,797/mo ($21,564/yr — save $2,400) ✦ Agency Package (3+ agents): 15% off Managed
Answer 10 questions and get a scored PDF report showing your reliability tier — Green (healthy), Yellow (at risk), or Red (critical) — with a personalized action plan.
⏱ Takes 4 minutes · No obligation · No spam
Every aspect of your agent setup: model configuration (prompts, temperature, system messages), tool permissions, API access, integration points, existing logging and monitoring, and recovery procedures. We produce a written report with prioritized findings and a clear remediation plan.
Yes. We're platform-agnostic. Custom code, OpenAI Assistants, Claude, n8n, Make, Zapier, LangChain, Relevance AI — if it's an AI agent, we can audit and harden it. If we genuinely can't work with your setup, we'll tell you upfront.
Read access to configuration files, yes. Our audit is read-only — we examine what your agent is configured to do, not your proprietary business logic. For guardrails installation, we need write access to configuration areas, but we never modify your core business logic or application code.
The Scorecard will tell you. Many teams think their agent is working fine until they run the diagnostic — then they discover 3-5 gaps they didn't know existed. Even a "Green" scorecard validates your setup and gives you benchmarking data. The audit is worth it for peace of mind alone.
Logs alone don't prevent failure. Managed includes active monitoring with real-time alerts, monthly configuration reviews to catch drift, quarterly stress tests that simulate failure scenarios, and an on-call engineer when things go wrong. It's proactive reliability engineering — not passive record-keeping.
Yes. Month-to-month, cancel anytime with 30 days notice. For annual commitments, your rate is locked in and you can still cancel — the annual amount is prorated for remaining months. No contracts, no lock-in, no hard feelings.
Take 4 minutes to get your free AI Agent Reliability Scorecard. Know your tier. Fix your gaps. Never wonder if your agents are working — again.