What is business automation?

Using software to handle repetitive operational work — data entry, approvals, notifications, reporting — automatically, so people focus on work that actually needs judgment.

How much does automation cost?

Cost depends on how many systems are involved and how complex the workflow logic is. We provide a detailed estimate after mapping your current process.

Can you automate our ERP?

Yes. We connect to your ERP's API to automate data flow and processes between it and every system that depends on it.

Can you automate our CRM?

Yes. Lead routing, follow-ups, and pipeline updates can be automated directly inside the CRM your team already uses.

Can AI automate repetitive work?

Yes, for tasks like classification, summarisation, and drafting — built into workflows specifically where the model saves real time, not as a blanket replacement for every step.

Can automation replace manual tasks?

For repetitive, rule-based work, yes. Judgment calls stay with your team — automation handles the process around them.

Can automation integrate legacy systems?

In most cases, yes — through the legacy system's API, database, or file exports, depending on what it actually exposes.

How secure are automated workflows?

Access is scoped by role, every run is logged for audit, and credentials are never hardcoded into a workflow.

Yes, for visual, integration-heavy workflows where it's the right tool — alongside custom-built automation when the logic needs more control.

Yes, for the same kind of integration-heavy workflows, chosen based on which platform fits the specific systems involved.

Who owns the workflows?

You do. The workflow definitions, infrastructure, and documentation are yours, not licensed to you.

Do you provide maintenance?

Yes. We offer ongoing maintenance covering monitoring, error recovery, and updates as your connected systems change.

Business Automation

Automate repetitive processes, connect disconnected systems and eliminate manual work through intelligent workflows, integrations and AI-powered automation.

Start a Project See how we work

Workflow Automation
AI Automation
API Integrations
Business Processes
Cloud Native

Estimated timeline: Typically 6–10 weeks for a first automated workflow, longer for full platform integration
Platforms: Cloud · APIs · Workflows
Tech stack: Node.js · Laravel · n8n · PostgreSQL

Overview

Our approach

Automate repetitive processes, connect disconnected systems and eliminate manual work through intelligent workflows, integrations and AI-powered automation.

Reduce Manual Work
Automate repetitive operational tasks while reducing human error.
Connect Your Systems
Integrate ERP, CRM, APIs and internal platforms into one connected workflow.
Scale Operations
Increase operational capacity without increasing administrative overhead.

What's Included

Everything under one roof

Everything included in this engagement, from architecture to long-term support — one team, one system.

Workflow Automation

Multi-step processes automated end to end, from trigger to completion, not just a single task.

Business Process Automation

Real operational processes systemized, replacing spreadsheets and manual handoffs.

CRM Automation

Lead routing, follow-ups, and pipeline updates handled automatically inside the CRM your team already uses.

ERP Automation

Automated data flow between your ERP and every system that depends on it.

API Integrations

Connecting the systems your business already runs on, so data moves without manual re-entry.

Document Processing

Automated extraction, routing, and filing for the documents your business handles every day.

Approval Flows

Multi-step approvals routed automatically to the right person, with a clear audit trail.

Reporting Automation

Recurring reports generated and delivered automatically, without a manual export process.

Email Automation

Transactional and operational emails triggered by real events, not sent manually.

Scheduling

Recurring tasks and processes run automatically on the schedule your operations actually need.

Data Synchronisation

Data kept consistent across systems automatically, without manual reconciliation.

AI Automation

AI-powered steps — classification, summarisation, drafting — built into workflows where they save real time.

Why Aixo Lab

Why companies choose Aixo Lab

Process Analysis First
We map how work actually happens today before automating anything — the biggest automation mistakes come from systemizing the wrong process.
Architecture Before Automation
Integration and data architecture are designed before workflows are built, so automations stay reliable as systems change.
Reliable Workflows
Automations built with error handling and monitoring from day one, not just the happy path.
Continuous Optimisation
Workflows are reviewed against real usage and refined, not built once and left untouched.

Automation Capabilities

The platform capabilities every automation needs

Capabilities built into the automation platform from the start, not bolted on after the first workflow breaks.

Internal Workflows

Multi-step internal processes automated across teams, not just within a single tool.

Approval Systems

Configurable approval chains that route to the right person automatically, every time.

Document Processing

Structured data extracted automatically from the documents your operations depend on.

Notifications

The right people notified automatically when a workflow needs attention or completes.

Scheduled Jobs

Background jobs that run reliably on schedule, without someone remembering to trigger them.

Third-party Integrations

Connections to the external services and APIs your operations already depend on.

Business Rules

Conditional logic that routes and processes work according to how your business actually operates.

Role Permissions

Access to workflows and data scoped correctly by role, enforced consistently across the platform.

Audit Logs

A complete, queryable record of what ran, when, and what changed — for compliance and debugging alike.

Monitoring

Real-time visibility into workflow health, so failures are caught before they become a backlog.

Error Recovery

Automated retry and fallback logic, so a single failed step doesn't stall the whole process.

Analytics

Usage and performance data on every automated workflow, not just the ones someone remembers to check.

Technology Stack

Built on a modern, production-grade stack

Every technology here is a deliberate choice, not a default.

Node.js

JavaScript runtime for automation services and integration APIs.

Laravel

PHP framework for business logic and internal tooling behind automated workflows.

Python

Used for data processing and AI-powered automation steps where its ecosystem is the right fit.

Redis

Queue and cache layer keeping automated workflows fast under real operational load.

RabbitMQ

Message broker for reliable, asynchronous processing between automation steps.

Docker

Containerizes every automation service so environments stay identical from development to production.

AWS

Cloud infrastructure for hosting, storage, and scaling automation workloads.

n8n

Open-source workflow automation platform for connecting systems visually where that speeds up delivery.

Make

Visual automation platform used for integration-heavy workflows across third-party services.

OpenAI

Used for AI-powered automation steps — classification, extraction, drafting — where the model adds real value.

Claude

Used for AI-powered steps that benefit from stronger reasoning over longer, more complex inputs.

REST APIs

The default integration standard for connecting automated workflows to other systems.

GraphQL

Used when an automation needs to query exactly the data it needs from a complex system.

PostgreSQL

Primary relational database for workflow state, audit logs, and structured automation data.

MySQL

Relational database used when a project's existing infrastructure already depends on it.

Process

How we work

The same disciplined process behind every engagement, from the first architecture decision to launch.

01
Discovery
Understand the business problem and its real constraints.
Output:
Scope and goals document
Your involvement:
Initial workshop
02
Product definition
Translate the problem into concrete product requirements.
Output:
Feature spec and priorities
Your involvement:
Requirements review
03
UX/UI design
Design user flows and interface before development starts.
Output:
Wireframes and design system
Your involvement:
Design feedback
04
Technical architecture
Define system structure, data flow, and technology stack.
Output:
Architecture document
Your involvement:
Technical review (optional)
05
Iterative development
Build in short cycles with visible, regular progress.
Output:
Regularly shipped working versions
Your involvement:
Sprint review participation
06
Quality assurance
Test functionality, performance, and security before release.
Output:
Test results and fixes
Your involvement:
Acceptance sign-off
07
Launch
Deploy to production with a rollback plan in place.
Output:
Product deployed to production
Your involvement:
Launch approval
08
Continuous improvement
Monitor, maintain, and evolve the product after launch.
Output:
Maintenance and improvement roadmap
Your involvement:
Regular check-in meetings

Industries

Built for real operating constraints

Every industry has its own compliance, integration, and scale requirements — we design for the ones that apply to you.

Featured Project

See it in practice

Enterprise Workflow Automation Platform

A workflow automation platform integrating ERP, CRM, document management, AI assistants and internal APIs into a single automated environment.

Challenge

A company managed approvals, documents and reporting manually across multiple disconnected systems.

Solution

We designed a workflow automation platform integrating ERP, CRM, document management, AI assistants and internal APIs into a single automated environment.

Results

85% reduction in repetitive work
Thousands of automated workflows
Significantly faster internal approvals

Technologies

Node.js
Laravel
PostgreSQL
Redis
Docker
OpenAI

Discuss a similar project

FAQ

Frequently asked questions

Resources

Technologies we build this on

The stack pieces most relevant to a project like this one.

Technology

AI Agent Development

We build enterprise AI agents — systems that plan, call tools, and take real action in your existing software — architected for reliability, oversight, and production use, not chat demos.

Explore the stack

Technology

Node.js Development

We build enterprise backend systems with Node.js — REST APIs, real-time applications, and event-driven microservices architected for concurrency, scalability, and high availability.

Explore the stack

Technology

Redis Development

We architect Redis into enterprise software as more than a cache — distributed sessions, queues, pub/sub, and rate limiting designed around the actual concurrency and data-loss tolerance a system needs.

Explore the stack

Related Services