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AI & Automation

AI automation for business workflows that keeps running

Take the repetitive work out of your week, and keep it out.

Automate repetitive business processes using LLMs, machine learning models, and intelligent workflow engines.

workflow · invoice intakerunning
01Email02Extract03Validate04Route05ERP
  • INV 2291extracted · posted to ERP0.98
  • INV 2292low confidence, sent to review0.71
  • INV 2293extracted · posted to ERP0.96
  • INV 2294duplicate detected · skippedN/A
Illustrative interface
Category
AI & Automation
Deliverables
04 core
Core stack
n8n · Temporal.io · LLM Integration
Typical first phase
Assess
The brief

Intelligent AI Automation & Process Workflow Orchestration

Our AI automation services connect your tools, data, and AI models into automations that remove real, repetitive work like document processing, routing and reporting, built on durable workflow engines so they keep running reliably at scale.

Without it
  • Skilled people spend hours rekeying data between systems.
  • Documents arrive in a dozen formats and someone reads every one.
  • Brittle scripts and zaps break silently when something upstream changes.
With Caudify
  • Repetitive processes that run end to end without manual hand offs.
  • Documents read, classified and routed by AI, so people only review the exceptions.
  • Durable workflows with retries, alerts and a full audit trail.
Deliverables

What our AI workflow automation service delivers.

Every engagement is scoped around these four building blocks, combined, sequenced and sized to what you actually need.

D-01

Process automation assessment

A ranked map of which processes to automate first, by effort, risk and hours returned.

  • Process shadowing & mapping
  • Automation readiness scoring
  • Prioritised roadmap
D-02

LLM powered document processing

Invoices, contracts, forms and emails turned into structured, validated data.

  • Extraction & classification
  • Confidence thresholds
  • Human review queue
D-03

ML pipeline automation

Recurring data and model jobs scheduled, versioned and monitored instead of run by hand.

  • Scheduled training & scoring
  • Data validation checks
  • Pipeline observability
D-04

Workflow orchestration (n8n, Temporal)

Low code speed with n8n, or durable code first workflows with Temporal, chosen per process.

  • Retries & error handling
  • Event & webhook triggers
  • Alerting & run history
Engagement

How a AI workflow automation engagement runs.

The indicative shape of a first engagement. Phases overlap on purpose, so we start building while discovery is still sharpening the plan.

  1. 01AssessShadow the process, measure the baseline.
    2 wks
  2. 02PilotAutomate one high value workflow.
    3 wks
  3. 03HardenRetries, monitoring, exception handling.
    2 wks
  4. 04Scale outRoll the pattern across processes.
    4 wks

This is indicative only. Every engagement is scoped with you before it starts.

Fit

Is AI workflow automation right for you?

  1. 01

    You can name a process that eats hours every single week.

  2. 02

    Your data lives across tools that don’t talk to each other.

  3. 03

    You need automation that survives upstream changes.

Not sure it fits? A free assessment will tell you

caudify / services / ai_automation.yml
# Service manifest
service:    AI Automation & Workflow Automation
category:   AI & Automation
deliverables:
  • Process automation assessment
  • LLM powered document processing
  • ML pipeline automation
  • Workflow orchestration (n8n, Temporal)
stack:
  • n8n
  • Temporal.io
  • LLM Integration
  • Webhooks
  • Hyperautomation
  • Event Driven Architecture
phases: 4
next_step:  free assessment
Questions

AI workflow automation questions, answered.

Q1What are AI automation services?
AI automation services build and run workflows where an AI model handles a step that used to need a person, such as reading a document, classifying a request or drafting a reply, inside a reliable process that connects your tools. Rules handle the predictable steps, AI handles the messy ones, and anything uncertain goes to a person.
Q2Should we use n8n or Temporal?
n8n is ideal for connecting SaaS tools quickly with a visual builder your team can maintain. Temporal suits long running, business critical processes that need code level control and guaranteed completion. Many clients use both.
Q3What happens when the AI isn’t sure?
Every extraction or decision carries a confidence score. Anything below the threshold goes to a person, and their corrections feed back into improving the automation.
Q4Will automation replace our team?
The aim is to remove the repetitive part of their work (rekeying, sorting, chasing) so people spend their time on judgement, customers and exceptions.

Start with a free assessment.

Tell us what you're building, improving or automating. We'll come back with an honest view of where AI workflow automation fits and the fastest path to production.

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