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AI Automations · workflows & agents

Automate the busywork — with AI where it helps.

I connect your tools and automate the repetitive work — lead routing, content ops, data sync, reporting — with n8n, Zapier, Make, and custom code, adding AI where it genuinely helps. Practical automation that saves real hours.

n8nZapier · Make
AIAgents & LLMs
APICustom integrations
HoursSaved weekly

Where automation pays off

If a person does it the same way every time — automate it.

Lead capture and routing, onboarding, content publishing, data sync between tools, reporting, and AI-assisted triage. I find the repetitive, rule-based work draining your team's time and turn it into reliable workflows — with AI in the loop only where it adds real value.

How a workflow runs

One workflow, end to end.

A trigger fires, data is enriched, AI does the thinking, and an action lands — automatically.

  1. TriggerForm, email, webhook, or schedule
  2. EnrichPull data from your tools & APIs
  3. AI stepClassify, draft, or summarise
  4. ActionUpdate CRM, notify, or publish

What's included

Reliable, documented, yours.

Everything that ships with an automation build.

  • 01

    Workflow automation

    Multi-step automations across your stack with n8n, Zapier, or Make — built to be reliable, not brittle.

  • 02

    AI agents & LLM steps

    Classification, drafting, summarising, and routing with LLMs — added only where they genuinely help.

  • 03

    Custom integrations

    API and webhook integrations for tools that don't have a native connector, including bespoke code.

  • 04

    Data sync

    Keep CRMs, sheets, databases, and apps in sync automatically, with conflict handling that holds up.

  • 05

    Error handling & alerts

    Retries, fallbacks, and notifications so a failed run never silently loses data.

  • 06

    Docs & ownership

    Clear documentation and handoff so your team can run, monitor, and extend the automations.

Process

How it works.

From mapping a manual task to a monitored workflow.

  1. Map the process

    We walk through the manual task step by step to find what's automatable and where AI fits.

  2. Design the workflow

    I design the automation — triggers, steps, data, and failure paths — and agree it with you.

  3. Build & integrate

    Built in n8n, Zapier, Make, or code, wired to your tools and APIs with proper error handling.

  4. Test & harden

    Run against real cases, add retries and alerts, and confirm it behaves under edge cases.

  5. Handoff & monitor

    Documented and handed off, with monitoring so issues surface early — not in your inbox at 2am.

Ready when you are

What's eating your team's time?

Automate a workflow

FAQ

Common questions.

Repetitive, rule-based work across your tools — lead capture and routing, onboarding, content publishing, data sync between apps, reporting, and AI-assisted triage. If a person does it the same way every time, it's usually a candidate.
n8n, Zapier, and Make for workflow automation, plus custom code and APIs when a native connector doesn't exist. For AI steps I use LLMs and agents where they add real value.
Often plain automation solves the problem and AI isn't needed. I add AI only where it genuinely helps — classifying, drafting, or summarising — rather than bolting it on for the sake of it.
Reliability is the point. I build in retries, fallbacks, and alerts so a failed run never silently loses data, and I document everything so your team can monitor it.
Yes. I hand off clear documentation and a walkthrough, and where it makes sense build in tools you control, so you're not dependent on me to keep it running.

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