AI agents and automated workflows often reach production before their operational controls are ready.

A temporary API failure, duplicated webhook, interrupted process, or missing approval boundary can cause repeated actions, inconsistent data, lost execution state, or decisions that nobody can reconstruct afterwards.

This service is a focused technical audit of your AI-agent and automation architecture. It identifies where your system is exposed and gives your engineering team a practical hardening roadmap.

I assess how your workflows behave during timeouts, worker interruptions, API failures, retries, and partial execution.

The audit looks for:

lost or corrupted workflow state;

duplicated business actions;

unsafe retry behaviour;

missing idempotency;

incomplete recovery procedures;

silent or poorly surfaced failures.

I review which systems your agents can access, what actions they can initiate, and where explicit human approval is required.

The audit identifies:

over-permissioned agents;

ungoverned tool or API access;

missing human-in-the-loop gates;

weak separation between advisory and execution authority;

irreversible actions without formal approval.

I assess whether your team can prove what ran, what data was used, what changed, and who approved consequential actions.

This includes:

workflow and action ledgers;

decision records;

evidence retention;

artifact hashes;

append-only or WORM-style evidence patterns;

auditability for internal security and compliance reviews.

I review how requests enter your system and how agents interact with APIs, tools, webhooks, MCP servers, and downstream services.

The audit examines:

authentication and token handling;

typed intent validation;

request and callback controls;

rate and spend boundaries;

replay protection;

service-level failure handling.

You will receive:

an executive risk summary;

a current-state architecture and control map;

a prioritised vulnerability register;

workflow durability and recovery findings;

agent-authority and human-gate analysis;

evidence and traceability gap analysis;

a remediation roadmap ranked by urgency and implementation effort;

a 60-minute technical findings call.

The roadmap is designed to be usable by your existing engineering team. It does not require you to replace your entire stack or adopt a specific platform.

SaaS companies deploying AI agents into operational workflows;

fintech, healthtech, legaltech, and compliance-sensitive teams;

automation agencies managing client workflows;

teams using n8n, Make, Zapier, LangGraph, Temporal, custom Python or Node.js agents;

technical founders preparing for enterprise security reviews;

engineering teams concerned about agent permissions, workflow failures, or missing audit evidence.

This is not a penetration test, legal compliance certification, SOC 2 audit, or automated vulnerability scanner.

It is a senior architecture and operational-control assessment focused on AI agents, workflow reliability, human authority, and execution evidence.