A clear-eyed audit of
every automation you run.
I review your existing AI automations and workflow architecture, then hand you a report you can actually act on. Every integration, API, prompt, and piece of automation logic gets evaluated for inefficiency, bottlenecks, and risk, and the findings come back ranked by impact so you know what to fix now, next, and later. The report is yours whether or not we continue, and if you want, I stay on to implement the highest-value fixes and keep the system optimized. Built for the tools you already run: n8n, Make, Zapier, LangChain, OpenAI, and Claude.
Automations don't fail loudly. They drift.
Systems that worked at launch quietly degrade as tools, prompts, and volume change. An audit surfaces the problems before they surface themselves.
Automations drift silently
Workflows that worked at launch degrade as tools, prompts, and volume change. Failures hide until something important breaks, and by then the cost has already compounded.
Nobody has the full picture
When automations are built piecemeal, no single map shows how they connect, where they overlap, or where one silent point of failure could take down a chain.
Prompts and APIs age badly
Model updates, deprecated endpoints, and untested prompt logic quietly erode reliability. What passes today can fail tomorrow with no one watching for it.
Diagnose clearly, then fix what matters.
The initial engagement is a structured audit. I map your full workflow architecture, then evaluate every integration, API, prompt, and piece of automation logic for correctness, efficiency, and risk. That means finding the inefficiencies and bottlenecks that slow things down, the single points of failure and missing error handling that make them fragile, the deprecated endpoints and aging prompts that will break as models change, and the cost leaks that quietly add up. The deliverable is a clear audit report written in plain language, with every recommendation ranked by impact, effort, and risk, and organized into a fix-now, fix-next, fix-later roadmap you can act on with or without me. If you want to continue, I implement the highest-value fixes first, add the monitoring and error handling that was missing, and stay on for ongoing optimization and new automations built to the standard the audit sets. Everything stays on the tools you already run, and everything I touch is documented so your team is never dependent on me to keep it alive.
What you get. Phase by phase.
The audit and report are the committed deliverable. Implementation and ongoing optimization continue only if you want them.
- Full inventory of your automations across n8n, Make, Zapier, and code
- Architecture map showing how workflows connect and where data flows
- A shared understanding of what each automation is meant to do
- Baseline metrics: run volume, failure rates, and cost where visible
- Every integration and API reviewed for reliability and deprecation risk
- Prompt and automation logic evaluated for correctness and fragility
- Inefficiencies, bottlenecks, and single points of failure identified
- Error handling, retry, and monitoring gaps flagged
- Clear findings written in plain language, not jargon
- Every recommendation ranked by impact, effort, and risk
- A fix-now, fix-next, fix-later roadmap you can act on
- The report is yours whether or not we continue
- The highest-impact fixes implemented first
- Error handling, monitoring, and alerting added where missing
- Prompts and integrations hardened against model and API changes
- Before and after measures so improvements are provable
- Regular reviews as your automations and volume grow
- New automations built to the standards the audit sets
- Documentation so your team can maintain and extend the system
- All accounts, API keys, and workflows owned by you, not by me
Inventory to actionable report.
The audit moves in clear stages, ending in a report you own. Click any stage to see what it delivers.
What this stage delivers
- Full inventory of automations across n8n, Make, Zapier, and code
- Architecture map of how workflows connect and where data flows
- A shared understanding of what each automation is meant to do
- Baseline metrics: run volume, failure rates, and cost where visible
What this stage delivers
- Every integration and API reviewed for reliability and deprecation risk
- Prompt and automation logic evaluated for correctness and fragility
- Inefficiencies, bottlenecks, and single points of failure identified
- Error handling, retry, and monitoring gaps flagged
What this stage delivers
- Clear findings written in plain language, not jargon
- Every recommendation ranked by impact, effort, and risk
- A fix-now, fix-next, fix-later roadmap you can act on
- The report delivered as yours to keep, continue or not
What this stage delivers
- The highest-impact fixes implemented first
- Error handling, monitoring, and alerting added where missing
- Prompts and integrations hardened against model and API changes
- Ongoing reviews, new automations, and full documentation
Let's start with the audit.
A short call to scope the audit against how many automations you run and which platforms they live on, so the report is thorough without being padded. US based and ready to start, and the audit report is yours to keep either way. Happy to walk through commercials on the call.