Broken AI workflows
Workflows stop, fail unpredictably, or require repeated manual intervention.
AI workflow recovery, agent security, and production reliability
Recover unreliable AI workflows. Control what agents can access. Keep production automation accountable.
IT Chefs helps founders and technical teams diagnose failing AI automations, tighten agent permissions, and build the monitoring, approvals, and recovery paths needed for dependable operations.
Founder-led cybersecurity and AI automation practice. Virginia-based.
24-Hour AI Workflow Blast Radius Audit starting at $499. Final scope is confirmed before work begins.
Problems we fix
When AI automation becomes business-critical, small failures become operational risk.
Failing automations
APIs, credentials, schemas, or integrations change and disrupt production.
Silent failures
A workflow appears successful but produces missing, incomplete, or untrustworthy results.
Agent access risks
Agents can read, change, or trigger more than their assigned task requires.
Permission sprawl
Tokens, service accounts, and inherited permissions accumulate without clear ownership.
Governance gaps
Approval points, workflow ownership, audit evidence, and escalation responsibilities are unclear.
Production instability
Monitoring, retries, fallbacks, rollback, and recovery procedures are missing or untested.
Core services
Recover the workflow. Bound the agent. Operate it responsibly.
01 / RELIABILITY
AI Workflow Recovery & Reliability
Diagnose and repair failing n8n, API, and AI-powered workflows. Add validation, error handling, alerts, and recovery paths that reduce silent failures.
02 / ACCESS
Agent Access & Security Review
Map what agents and integrations can read, change, and trigger. Identify excessive permissions, credential exposure, unsafe tool access, and missing human approvals.
03 / OPERATIONS
Production AI Governance & Monitoring
Establish ownership, approval boundaries, audit trails, health signals, and change controls for AI workflows operating in production.
Service ladder
Start with the level of help the workflow actually needs.
Free / Coming soon
AI Automation Readiness Scorecard
A practical self-assessment for ownership, access, testing, monitoring, and recovery readiness.
Request the scorecardLow-cost
AI Tool Risk Check
One AI tool, one business use case, and a bounded review of data, access, vendor, and approval risks.
Production Readiness Review
A focused pre-launch check of ownership, expected outcomes, testing, error handling, monitoring, and recovery.
Signature audit
24-Hour AI Workflow Blast Radius Audit
Identify failure points, access exposure, recovery gaps, and the actions that matter first.
Starting at $499
Implementation
- AI Workflow Recovery & Reliability
- n8n Workflow Recovery & Hardening
- Agent Access & Action Boundary Review
Retainer
AI Workflow Reliability Monitoring
Monitoring scope is defined after workflow telemetry, response boundaries, and escalation procedures are understood.
Signature offer
24-Hour AI Workflow Blast Radius Audit
A focused review of one high-priority workflow to identify where it can fail, what its agents and integrations can access, and what to fix first.
Starting at $499
24-hour delivery target after scope and required access are confirmed.
Workflow and dependency map
Agents, tools, integrations, data paths, owners, and business dependencies in the agreed scope.
Access and action boundaries
What agents and integrations can read, change, trigger, and approve.
Failure and recovery review
Error paths, validation, alerting, human escalation, fallback, rollback, and recovery gaps.
Prioritized remediation plan
Recommended actions ordered by business impact, urgency, and implementation effort.
Evidence library
Proof should be specific, permissioned, and useful.
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Case Studies
Case studies will be added after client approval and identifying details are removed.
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Workflow Screenshots
Example workflow walkthroughs are in development using owned or explicitly approved environments.
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Architecture Diagrams
Reference diagrams are being prepared for agent boundaries, approval paths, monitoring, and recovery patterns.
Internal IT Chefs brand mark
Founder-led technical review
Aaron House
Founder, IT Chefs
Cybersecurity engineer and AI automation specialist with 15+ years of experience helping organizations improve workflow reliability, automation governance, and operational security.
Connect with Aaron on LinkedInSecondary resource bridge
Not ready for an audit? Start with a resource.
CyberHouse publishes practical checklists, guides, and tools for AI automation, cybersecurity, and operational readiness.
Frequently asked questions
Clear answers before you request an audit.
What does IT Chefs do?
IT Chefs helps founders and technical teams recover unreliable AI workflows, review what agents and integrations can access or change, and improve production monitoring, governance, and recovery.
What is an AI workflow reliability audit?
An AI workflow reliability audit reviews how a workflow operates, where it can fail, what data and tools it uses, how errors are detected, and whether the team can recover safely.
Who is the Blast Radius Audit for?
The audit is for founders, operators, and technical teams using AI agents, n8n, APIs, webhooks, or connected automations that are unreliable, business-critical, or operating with unclear access boundaries.
Can IT Chefs repair broken n8n workflows?
Yes. IT Chefs can diagnose and repair broken or unreliable n8n workflows within an agreed scope, including failed nodes, integration errors, credential issues, validation, alerting, and recovery paths.
What does an agent access review cover?
An agent access review maps what an agent can read, change, and trigger. It examines credentials, tools, data paths, permissions, ownership, and where human approval should be required.
How much does the Blast Radius Audit cost?
The 24-Hour AI Workflow Blast Radius Audit starts at $499. Final scope and price are confirmed before work begins.
How do I request an audit?
Complete the contact form with your company, workflow, current problem, urgency, and expected budget. IT Chefs will review the request for fit and scope before scheduling a discovery conversation.
Does IT Chefs offer ongoing monitoring?
Ongoing AI workflow reliability monitoring may be available after the workflow, telemetry, response boundaries, and escalation process are defined.
Start the conversation
Tell us what is breaking, exposed, or not ready for production.
Share enough context to evaluate fit. Do not include passwords, API keys, tokens, customer data, or other sensitive information.
What happens after submission? Your request is reviewed for fit and scope. A discovery conversation is the next step when the engagement appears aligned.
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