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
AI Automation
Automate repetitive business operations using intelligent workflows and AI-powered systems.
- OpenAI
- Claude
- n8n
- Python
- PostgreSQL
Automation Run
LiveOverview
What This Involves
Most teams lose hours every week to work that follows a predictable pattern: copying data between tools, triaging inbound requests, chasing approvals, producing the same report. We map those patterns, then replace them with automations that use AI only where judgement is genuinely required — classification, extraction, summarisation, drafting — and deterministic logic everywhere else. The result is a system you can audit, not a black box.
Deliverables
What You Receive
Every engagement ends with artefacts you own and can hand to another team.
Automation opportunity map
A ranked inventory of your manual processes scored by time saved, risk and implementation effort.
Production automations
Versioned, monitored workflows with retries, error alerting and a clear audit trail for every run.
Human-in-the-loop controls
Review queues and approval steps wherever an AI decision needs a person to sign off.
Operational dashboard
Live visibility into throughput, failure rates, cost per run and hours recovered.
Fit
Common Use Cases
If one of these sounds like your situation, this is the right starting point.
Document and invoice processing with structured data extraction
Inbound lead triage, enrichment and routing
Automated reporting and recurring data reconciliation
Content and proposal drafting from internal knowledge
Process
How We Work
A predictable four-step engagement. You always know what stage we are at, what is being decided, and what exists at the end of it.
01
Discover
Understand the business, goals, users and existing workflows.
- Stakeholder interviews and workflow walkthroughs
- Audit of current tools, data and integration points
- Constraints, compliance needs and success metrics
Output: A written problem definition everyone agrees on.
02
Plan
Define the architecture, technology stack and automation strategy.
- Solution architecture and data model
- Build-versus-configure decisions per component
- Scoped delivery plan with milestones and risks
Output: An architecture and a plan you can hold us to.
03
Build
Design, develop and integrate the complete solution.
- Interface design against a shared design system
- Incremental delivery with a usable environment each cycle
- Integrations, automated tests and evaluation of AI behaviour
Output: Working software in a real environment, every cycle.
04
Launch & Optimize
Deploy, monitor and continuously improve the system.
- Staged rollout with monitoring and alerting in place
- Team enablement, documentation and handover
- Measurement against the metrics agreed in discovery
Output: A monitored system and a prioritised improvement backlog.
Proof
Related Work
Projects where ai automation did the heavy lifting.
Automation
Workflow Automation System
A consolidated orchestration layer replacing scattered scripts and disconnected no-code scenarios with monitored, recoverable workflows.
- n8n
- Node.js
- PostgreSQL
- Make
- +1
View Case Study
Also available
Other Services
- AI AgentsBuild intelligent agents that can reason, communicate, perform tasks and interact with business systems.
- AI Voice AgentsBuild AI-powered voice systems for inbound calls, outbound calls, lead qualification, support and appointment booking.
- Web Application DevelopmentBuild scalable and high-performance web applications using modern technologies.
Next step
Need AI Automation For Your Business?
Book a free consultation and we will map the fastest route from where you are to something running in production.
hello@devrox.comWe reply to every enquiry within one business day.