Your Business RunsOn Manual WorkIt Doesn't Have To.
We build automation systems — not Zapier flows. Real pipelines with error handling, retry logic, failure alerts, and observability. Built on self-hosted n8n, custom webhooks, and API integrations — running in production across six live products every day.
Six Automation Categories.All Production-Ready.
Each pipeline type solves a different class of repetitive work. Together they cover the full operational surface of a digital product — from lead to invoice to alert.
Lead & CRM Pipelines
Automate the full lead journey — from form submission or webhook trigger to CRM record creation, lead scoring, owner assignment, and Slack notification. No manual copy-pasting between tools.
- ✓Form submit → tag + assign + notify Slack
- ✓Lead source tracking → attribution tagging
- ✓Follow-up sequence trigger on status change
Content & Publishing Pipelines
Schedule-triggered pipelines that pull content from a source, optionally enrich with AI (title rewriting, meta generation, category tagging), and publish to WordPress, Ghost, or a custom CMS via REST API.
- ✓Cron job → fetch data → generate page → publish
- ✓AI meta description generation on new posts
- ✓Sitemap ping + search console submission
Notification & Alert Systems
Event-driven pipelines that monitor product metrics, server health, user actions, or database thresholds — and send structured alerts to Slack, email, or SMS when defined conditions are met. Silent failures end here.
- ✓Server CPU spike → immediate Slack alert
- ✓Daily revenue digest → Slack 9 AM summary
- ✓User signup milestone → team celebration ping
Invoice & Billing Automation
Trigger-based pipelines that generate invoices, schedule payment reminders, track overdue status, and escalate to human review at defined thresholds. Reduces billing admin to zero for standard invoice cycles.
- ✓Subscription renew → generate + send invoice
- ✓Overdue +7 days → reminder email sequence
- ✓Payment confirmed → update DB + notify ops
Data Sync & ETL Pipelines
Scheduled pipelines that extract data from one source (API, spreadsheet, DB table), transform it (clean, map, enrich), and load it into a target system. Keeps multiple systems in sync without manual export-import operations.
- ✓CRM → analytics DB nightly sync
- ✓Product catalog → SEO content pipeline
- ✓User events → reporting dashboard refresh
Onboarding & Lifecycle Sequences
Event-triggered email and notification sequences based on user lifecycle events — signup, first action, inactivity, conversion, churn risk. Not bulk email blasts — individual behavioural sequences triggered by what users do.
- ✓Signup → welcome + D3 + D7 + D14 sequence
- ✓Inactive 14 days → re-engagement branch
- ✓First invoice created → upgrade nudge
Five Phases.Zero Silent Failures.
Every automation we build goes through the same five-phase process — from mapping the happy path to stress-testing the failure paths. A pipeline that has not been tested to failure has not been tested.
"We map the error path before we build the happy path. Most automations fail silently — ours fail loudly, once, with a clear message telling you exactly what broke."
Workflow Mapping
Day 1Before writing a single node in n8n, we map every step of the workflow on paper — or in a Figma flow diagram. Trigger event, all possible input states, every conditional branch, the happy path, every failure path, retry strategy, and what alert fires when. Only when the map is complete and reviewed does any build begin.
- ✓Full workflow map (happy path + all error paths)
- ✓Trigger event specification and payload schema
- ✓Error handling strategy per failure type
Happy Path Build
Day 2–3Build the main pipeline flow first — the path where every input is valid, every API responds correctly, and every condition passes as expected. Test with real data in a staging environment. Do not move to error handling until the happy path is demonstrably stable.
- ✓Main pipeline built and tested in staging
- ✓Real payload test with production-like data
- ✓Execution logs reviewed — no unexpected behavior
Failure Path & Error Handling
Day 3–4Every API call that can fail has a retry strategy. Every retry strategy has an exhaustion handler. Every exhaustion handler sends a structured alert (Slack + log) with the exact failure reason, the input that caused it, and the last successful execution timestamp. Silence is not an option.
- ✓Retry logic per API call (attempt count defined)
- ✓Exhaustion handlers with structured Slack alerts
- ✓All error states logged to DB with payload
Stress Testing & Edge Cases
Day 4–5Simulate bad input, API timeouts, partial failures, network interruptions, and out-of-order events. We deliberately try to break the pipeline before it goes to production — because it is far better to discover failure modes in testing than at 2 AM on a Sunday.
- ✓Malformed input test suite documented and passed
- ✓API timeout simulation tested and handled
- ✓Concurrent execution test (no race conditions)
Monitoring Setup & Handoff
Day 5Production deployment with monitoring configured from minute one. Execution dashboard in n8n. Slack channel for alerts. Runbook document — what to check when an alert fires, how to restart the pipeline, and what each alert code means. You should never need us to explain what broke.
- ✓n8n execution dashboard configured
- ✓Slack alert channel set up and tested
- ✓Runbook document with alert codes and actions
Silent Failures Are NotAcceptable. Ever.
A pipeline that runs 99% of the time and fails 1% silently is more dangerous than no pipeline. It builds false confidence while your data drifts, your leads get lost, and your invoices don't send. Our standard: every failure fires an alert. No exceptions.
Transient Failures
Network timeout, API rate limit, brief service outage. These are expected and handled automatically.
Exponential backoff retry — attempts 1, 2, 4 minutes. After 3 failures: Slack alert with exact error code and last successful run time.
Data Failures
Malformed input, unexpected payload schema, null values in required fields, type mismatches. These are caught before the pipeline runs.
Input schema validated at pipeline entry. Invalid records are rejected immediately, logged with full payload, and flagged to Slack. The pipeline continues for valid records.
Systemic Failures
Downstream service permanently down, DB connection pool exhausted, infrastructure issue, credential rotation. These require human intervention.
Pipeline halts immediately. Structured Slack alert with severity level, affected pipeline name, last successful execution, and the exact error message. Runbook reference included in every alert.
How we compare to typical no-code tools
Three Live Pipelines.Real Numbers. Right Now.
Not demo pipelines. Not concept diagrams. Production automation running every day — with execution counts, uptime, and last-run timestamps that are real.
FreeBill
BUSINESS SAAS"Recurring invoice + reminder sequence"
Retry ×3 on SMTP failure → Slack alert
NammaHubballi
LOCAL CITY DIRECTORY"Listings sync + SEO content pipeline"
Schema validation rejects malformed listings
CipherBitz Ops
INFRASTRUCTURE MONITORING"Server health + daily ops digest"
Dead man's switch — alerts if no ping in 1h
When We Tell YouNot To Automate.
Automation for its own sake is vanity. Every pipeline we recommend to not build has a reason — and we will tell you that reason directly, before any quote is written.
Processes you haven't fully understood yet.
If you cannot describe every step, every input, every edge case, and every expected output of a process on paper — you are not ready to automate it. Automating a poorly understood process produces a perfectly reliable machine that reliably produces wrong results.
Tasks that will run fewer than 50 times.
Building a pipeline for a one-time data migration, a single campaign send, or a task that runs once a quarter is almost never worth the build time, testing effort, and maintenance burden. A well-written script or manual process costs less and carries less ongoing risk.
Business processes that change monthly.
Automation is rigid by design — that is its value. If the process it automates changes every four weeks, every change requires a pipeline update, a test cycle, and a re-deployment. For rapidly evolving processes, a human operator is more flexible and cheaper until the process stabilises.
Processes requiring human judgment.
Automation executes rules. If the core of a process is a judgment call — evaluating a creative brief, assessing a candidate, making a pricing exception — automation can support the decision but cannot make it. Building a pipeline around a judgment call creates the illusion of a system where none exists.
When you won't monitor what breaks.
A pipeline with no monitoring is a liability. If the automation runs at 2 AM and you will not check the execution log until next week, you need alerting infrastructure before you need the automation itself. We will not deploy a pipeline without alerts configured. That is not a policy — it is a requirement.
Three Ways to StartAutomating Your Business.
Single Pipeline Build
1 weekOne automation problem, solved completely. Workflow mapping, build, failure handling, monitoring setup, Slack alerts, and a runbook document. Done in one week. Runs reliably from day one.
- ✓Full workflow map before any build begins
- ✓Happy path + all error paths tested
- ✓Slack alerting configured before handoff
- ✓Runbook document included
Automation Audit
3 daysAlready running pipelines but not sure which ones are failing silently? A 3-day audit of your existing workflows — identifying silent failures, missing error handling, and the three highest-value automation opportunities in your business.
- ✓Full review of existing automation stack
- ✓Silent failure identification and report
- ✓Top 3 automation opportunities prioritised
- ✓Written audit report with recommendations
Full Automation System
2–4 weeksMap, build, and operate your entire automation layer — from lead intake to billing to ops monitoring. Multiple pipelines, unified alerting, shared monitoring dashboard, and ongoing maintenance as your processes evolve.
- ✓Full workflow map for all processes
- ✓Multiple pipelines built and tested
- ✓Unified Slack alert channel and runbook
- ✓Monthly maintenance and iteration included
What Are You StillDoing Manually??
Describe the process — what triggers it, what it does, where it outputs, and what happens when it fails. We will tell you whether it should be automated, how to build it, and what it will cost. No inflated quotes. No Zapier upsell.