AI / Voice / Multi-Agent
VeriVoice
An intelligent multi-agent voice platform designed to automate business conversations and workflows.
- React
- Next.js
- Node.js
- AI
- +1
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Automation
Workflow Automation System
Unified Operations Orchestration
A consolidated orchestration layer replacing scattered scripts and disconnected no-code scenarios with monitored, recoverable workflows.
- n8n
- Node.js
- PostgreSQL
- Make
- Docker
Overview
Project Overview
Automation had grown organically across four platforms, several personal accounts and a handful of scheduled scripts. Nothing was versioned, failures were silent, and the person who built most of it had left. We rebuilt the estate as one orchestrated system with version control, retries, dead-letter handling and alerting — and documented every workflow so the team can maintain it themselves.
Services provided
- Workflow Automation
- CRM & API Integrations
- Client
- Confidential — e-commerce operations group
- Industry
- E-commerce & Retail
- Timeline
- 7 weeks
- Year
- 2024
- Platforms
- Automation platform
- Team
- 2 engineers, 1 delivery lead
Challenge
The Challenge
Nobody could answer what automation existed, where it ran or whether it had worked last night. Failures surfaced when a customer complained.
Automation was spread across four platforms, some of it in personal accounts.
No version history, so a broken change could not be identified or rolled back.
Failures were silent; the first signal was usually a customer or a missing record.
Retries were unsafe, so operators avoided them and fixed things by hand instead.
Solution
What We Built
We inventoried everything, rebuilt it on one self-hosted orchestrator, and treated workflows as software: versioned, reviewed, deployed and monitored.
Audited and documented every existing automation before migrating any of it.
Consolidated onto self-hosted n8n with definitions in git and deployment through CI.
Made every step idempotent so retries and replays are safe by construction.
Added a dead-letter queue with full payload capture and one-click replay.
Wired alerting to the owning team with runbooks written for each failure mode.
Capabilities
Key Features
What Workflow Automation System does in day-to-day use.
Version-controlled workflows
Every workflow definition lives in git and deploys through the same pipeline as application code.
Idempotent execution
Idempotency keys throughout, so a retry can never double-charge, double-send or double-create.
Dead-letter handling
Failed runs are captured with full payload and can be replayed once the cause is fixed.
Rate-limit awareness
Per-integration throttling and exponential backoff so third-party limits degrade rather than break.
Operational alerting
Failures route to the responsible team with a written runbook attached to the notification.
Run observability
Every execution searchable by entity, with timing, payload and outcome retained.
Stack
Technology Stack
The tools this system runs on, grouped by the role they play.
Orchestration
- n8n (self-hosted)
- Make
Backend
- Node.js
- TypeScript
- Queue workers
Data
- PostgreSQL
- Redis
Integrations
- REST
- Webhooks
- GoHighLevel
- Zapier
Infrastructure
- Docker
- GitHub Actions
- Uptime monitoring
Architecture
How It Works
The path a single request takes through the system, end to end.
TRIGGER01
Event received
Webhook, schedule or queue message enters the orchestrator.
VALIDATE02
Contract check
Payload validated and assigned an idempotency key before any side effect.
EXECUTE03
Run steps
Steps execute with per-integration throttling and backoff.
RECOVER04
Retry or park
Transient failures retry; permanent ones land in the dead-letter queue.
NOTIFY05
Alert & log
Outcome recorded, owning team alerted with the relevant runbook.
Outcome
Results
What changed for the business after launch.
4 → 1
Platforms consolidated
One orchestrator, one deployment path, one place to look.
99.6%
Workflow success rate
Measured over the first quarter after migration.
< 3 min
Mean time to detection
Alerting replaced customer reports as the first failure signal.
31
Workflows documented
Each with an owner, a diagram and a recovery runbook.
Interface
A Closer Look
Screens from the delivered system.
Consolidated workflow inventory with ownership and status. 
Dead-letter queue with full payload capture and replay. 
Run history, timing and alert routing per workflow.
More work
Related Projects
Other systems built on similar foundations.
AI / Automation
AI Sales Automation
An automated qualification and outreach engine that scores inbound leads, enriches them and routes each to the right owner within minutes.
- Python
- OpenAI
- n8n
- PostgreSQL
- +1
View Case Study
Next step
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