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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 custom 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.

Automation use cases

What I automate.

Automation is about removing the repetitive work that eats your team's time. Here is the kind of thing I build with n8n, Zapier, Make, and custom code.

Leads and CRM

  • Capturing and routing leads across forms and channels.
  • Enriching and syncing contacts to your CRM.
  • Automated follow-ups and reminders.

Content and ops

  • Repetitive content and data-entry tasks.
  • Report generation and scheduled digests.
  • Approvals and internal handoffs.

Data and integrations

  • Syncing data between tools that do not talk natively.
  • Webhooks and API connections.
  • Scheduled imports, exports, and clean-up.

AI agents

  • Agents that draft, summarise, classify, or triage.
  • Human-in-the-loop review steps.
  • Guardrails, logging, and clear fallbacks.

Every workflow is documented, monitored, and built to fail safely, so it saves hours without becoming a black box only I can maintain.

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.

Got a project?
Let’s build
something great.

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