AI Agent Rescue & Tuning Fix the AI you already shipped
Bought an AI chatbot in 2024 that now makes things up, loops, or embarrasses your brand? We diagnose what's wrong, fix it properly, and add the guardrails it should have shipped with.
AI agent rescue fixes AI automations that went wrong: agents sending nonsense to customers, burning API budget, corrupting CRM data or silently doing nothing. We audit, contain, repair or rebuild — with guardrails this time. Emergency triage available; engagements from $500.
Built to work, not just impress.
Thousands of businesses deployed AI chatbots and agents in the last two years — and many are quietly failing: hallucinated answers, silent errors, workflows that drift as the business changes. Most agencies that built them have moved on. We specialize in inheriting these systems, diagnosing them against a structured checklist, and making them reliable.
Structured diagnosis
We audit knowledge sources, prompts, guardrails, error handling, and logging — and give you a written report of what's broken.
Fixes that hold
Constrained knowledge bases, proper fallbacks, human handoff, and monitoring — so the same failure can't silently return.
Any platform
Custom builds, OpenAI/Anthropic APIs, chatbot SaaS platforms, n8n/Zapier stacks — we've untangled them all.
Honest verdicts
If your bot should be retired rather than repaired, we'll say so and quote the replacement honestly.
A clear path from brief to launch.
Contain
First move: stop active damage. Pause the runaway agent, secure the data, cap the spend.
Forensic audit
Logs, prompts, permissions and integrations reviewed to find what it actually did and why.
Repair or rebuild
Some agents need guardrails retrofitted; some need honest demolition and a proper rebuild.
Re-launch supervised
Shadow mode, approval gates, spend caps and monitoring — deployed the way it should have been.
Everything, itemized.
- Emergency containment of misbehaving automations
- Full audit: prompts, permissions, logs, integrations, spend
- Data cleanup for CRM/email messes the agent made
- Guardrail retrofit: approval gates, limits, escalation paths
- Spend caps and usage alerting
- Rebuild on solid architecture where repair isn't honest
- Supervised re-deployment with shadow mode
- Documentation so you understand what runs and why
Made for businesses like yours.
Most broken agents share a root cause: autonomy granted before it was earned. No approval gates, no spend caps, no logging — the system worked in the demo and was trusted with production on day one. The rescue isn't just fixing the failure; it's installing the discipline that prevents the whole class of failure.
We're rarely here to judge — the tooling made 'build an agent in an afternoon' genuinely easy, and the sharp edges are invisible until they cut. What matters is the rebuild: same automation value, wrapped in the guardrails, monitoring and documentation that make it safe to stop watching.
Ask it 20 hard questions about your business and check the answers. If you find invented prices, policies, or promises — it's costing you customers silently. We run this test systematically in the diagnosis.
Yes — inheriting other people's AI builds is exactly what this service is for. We document everything as we go so you're never locked in again.
Pause the agent immediately, don't delete logs (they're the forensic record), and send a short human follow-up to affected customers — honesty recovers trust fast. Then get an audit before switching it back on; the same flaw will fire again otherwise.
Yes — Zapier, Make, n8n, GPT-based builders, LangChain stacks and the custom-code middle ground. Often the platform is fine and the design was the problem; where the platform genuinely can't be made safe, we say so and quote the migration.
Hard caps at the provider, usage alerts at meaningful thresholds, loop detection in the agent logic, and monthly spend review. Every rescue leaves with all four — the $1,400 surprise bill is entirely preventable.
Audit first, honestly. If the underlying automation saves real hours, a rebuild with guardrails usually pays back fast. If it was automating something marginal, we'll tell you to keep it off — a rescue that shouldn't exist is a bill, not a service.