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AI & Automation

Intelligent Automation

Intelligent automation combines AI with workflow automation so that repetitive processes — lead qualification, support triage, document processing, approvals — run on their own, end to end, with people only stepping in for exceptions.

What it is

Turn repetitive work into intelligent workflows.

Traditional automation follows fixed rules; intelligent automation adds an AI step that can understand free text, documents and context before deciding what to do. That is what lets it handle real-world inputs like emails, PDFs and customer messages.

We map a process as it really runs today, remove the steps that do not need a person, and connect the remaining steps across your existing tools — so work moves from trigger to result without copy-paste.

Capabilities

  • Business process automation
  • Lead capture & AI qualification
  • Customer support triage & auto-responses
  • Document extraction & validation
  • Marketing automation & segmentation
  • Internal approvals & operations workflows
  • CRM, email & database integrations
  • Scheduled reports & alerts
  1. 01

    Trigger

  2. 02

    AI analysis

  3. 03

    Decision

  4. 04

    Automation

  5. 05

    Integration

  6. 06

    Result

AI capabilities

AI capabilities inside our automation.

The AI building blocks that let our workflows read documents and work inside your existing tools.

Document Intelligence

Document intelligence reads PDFs, invoices, contracts and forms and extracts the data you need into your systems — validated, not just copied. It removes manual data entry from document-heavy processes.

Use cases

  • Invoice and receipt processing
  • Contract review and clause extraction
  • Form and application intake

Tools

  • Azure Document Intelligence
  • Google Document AI
  • Claude
  • n8n

AI Integrations

AI integrations connect models like Claude, GPT or Gemini to the software you already use through APIs and automation. Your team gets AI inside familiar tools instead of switching to a new one.

Use cases

  • AI inside your CRM, helpdesk or ERP
  • Automated workflows across Slack, email and sheets
  • Custom APIs and internal AI tools

Tools

  • REST & webhooks
  • n8n
  • Make
  • Zapier
  • MCP

Our process

How we deliver intelligent automation.

  1. 01

    Process mapping

    Document the current workflow step by step, including who does what and how long it takes.

  2. 02

    Automation design

    Decide which steps are rules, which need AI judgement and which must stay with a person.

  3. 03

    Build & connect

    Implement the workflow and integrate it with your CRM, inbox, database and other tools.

  4. 04

    Test with real cases

    Run historical examples through the workflow and review every exception path.

  5. 05

    Launch & measure

    Go live with logging and a dashboard showing time saved and error rates.

Tools & technology

Specific tools, chosen for the job.

Workflow

  • n8n
  • Make
  • Zapier
  • Temporal

AI

  • Claude
  • OpenAI
  • Open LLMs (Llama, Mistral)
  • Document AI

Integrations

  • HubSpot
  • Salesforce
  • Google Workspace
  • Slack
  • REST & webhooks

FAQs

Intelligent Automation questions.

Yes. We start by mapping how the process runs today, then automate it using the tools you already have wherever possible, adding AI only where it genuinely helps.

Ready to talk about intelligent automation?

Tell us what you need — we reply with questions, a plan and a quote.