AI automation pipelines that run in production
I build the automation layer that keeps a business running without copy-paste: event-driven workflows across your apps, with AI steps where work needs reading or judgement. They're engineered for production, with error handling, retries, alerts and full logs, so nothing fails silently. Most run on n8n and direct APIs, documented so your team can see and change what's happening.
- 150+apps and APIs connected
- Event-drivenwebhooks, schedules and queues
- Zero silent failsretries, alerts and full logs
- 4 weeksfrom audit to production
What goes into every pipeline
Event-driven workflows
Triggers from webhooks, forms, inboxes, schedules and queues that start the right process the moment something happens.
AI processing steps
Classification, extraction from documents, summaries and drafted replies, with confidence thresholds and human review where it matters.
System integration
CRMs, helpdesks, payments, spreadsheets, databases and internal APIs kept in sync, so every system holds the same truth.
Reliability engineering
Error branches, retries with back-off, idempotent writes, dead-letter handling and alerts to Slack or email when anything needs a person.
Self-hosted and secure
Self-hosted n8n where your data must stay under your control, with scoped credentials and least-privilege access.
Monitoring and handover
Execution logs, run dashboards, documentation and a walkthrough, so your team can trust the automations and extend them.
Pipelines I build
- Lead capture, enrichment, scoring and routing into the CRM
- Invoice, receipt and form intake with AI extraction
- Support triage: classify, prioritise, draft and assign
- Scheduled reporting from every tool into Slack or email
- Customer lifecycle flows: onboarding, renewals, reminders
- Back-office sync between CRM, billing and operations tools
How it works
- Step 1
Week 1 · Survey
Map every workflow and call type, measure the hours it costs and set an ROI baseline.
- Step 2
Week 2 · Spec
Agent spec, data access, integrations and guardrails agreed in writing, with a fixed quote.
- Step 3
Week 3 · Build
Built in your stack and run against a test suite of real cases. You see it working this week.
- Step 4
Week 4 · Commission
Go-live, team training, monitoring dashboard and two weeks of close support.
Tools I use
- n8n
- Webhooks
- REST APIs
- Zapier
- Make
- Google Workspace
- HubSpot
- Salesforce
- Stripe
- Slack
- Claude API
- PostgreSQL
Related work
Questions
What is workflow automation?
Workflow automation uses software to carry out repetitive steps between apps, such as moving data, creating records or sending notifications, automatically when something happens, so people don't have to.
What is n8n?
n8n is a workflow automation platform that connects apps and APIs. It can be self-hosted, which keeps your data under your control, and it supports custom code and AI steps, which makes it a strong base for production automation.
n8n, Zapier or Make: which should I use?
Zapier is quickest for simple automations, Make suits visual multi-step flows, and n8n fits complex, high-volume or self-hosted workflows with custom code. I recommend based on your volume, budget and data rules.
How do you keep automations from breaking silently?
Every workflow has error branches, retries, alerts and execution logs, plus monitoring after launch, so failures surface immediately and can be replayed.
Where does AI fit into automation?
AI handles the steps that need reading or judgement, like classifying emails, extracting fields from documents or drafting replies, while the rest of the pipeline stays deterministic and auditable.
Sumedh
Open to freelance builds worldwide, full-time roles and nerdy chats about AI agents.