Build · AI Automation

AI automation that removes busywork, not judgement

We build AI-assisted workflows for the repetitive parts of your operations, such as sorting enquiries, extracting data from documents or drafting replies, with people reviewing what matters.

The challenge

Lots of AI talk, few working systems

Most teams have tried a chatbot or a writing assistant. Far fewer have an AI workflow running reliably inside daily operations, because the hard part isn’t the model: it’s the data, the edge cases, the permissions and the question of who checks the output.

Automations built without those guardrails create new work: wrong answers sent to customers, sensitive data pasted into tools without controls, and processes nobody can explain.

Our approach

Start with one workflow and measure it

We pick one workflow with clear volume and a measurable cost, such as qualifying inbound leads, extracting data from invoices or triaging support messages, and automate it end to end.

Every automation has defined inputs, a human review step where errors would be costly, logging, and a fallback when the AI is unsure. Data handling follows your policies and the regulations in your markets.

Automations connect to your CRM, inbox, WhatsApp and internal systems, so the result lands where the team already works.

Capabilities

What AI Automation includes

  • Workflow selection

    Finding the processes where automation saves the most time safely.

  • Lead qualification

    Classifying and enriching enquiries and routing them to the right person.

  • Document processing

    Extracting structured data from PDFs, forms and emails.

  • Drafting and summaries

    First drafts of replies, briefs and reports for human review.

  • Integrations

    Connecting AI APIs to CRM, WhatsApp, email and databases.

  • Monitoring

    Logs, accuracy checks and alerts so quality stays visible.

Process

How the work runs

  1. Audit

    Map repetitive work, volumes and risks.

  2. Prototype

    Test the workflow on real, anonymised examples.

  3. Deploy

    Integrate with your tools, add review steps and logging.

  4. Measure and extend

    Track time saved and accuracy, then automate the next workflow.

Deliverables

  • Automation opportunity audit
  • Working automated workflow
  • Human-in-the-loop review steps
  • Integration with your tools
  • Monitoring and logging
  • Documentation and runbook
  • Results review after 30 days

Technology

  • AI APIs
  • Automation platforms
  • Node.js
  • Python
  • Vector search
  • Webhooks
  • WhatsApp Business Platform

We recommend tools after looking at your team, budget and existing systems, not the other way round.

AI Automation: questions we hear often

Is our data safe?

We design each workflow around your data policies: using business-grade AI APIs with appropriate data terms, limiting what is sent, and keeping sensitive steps under human control.

Will AI replace our staff?

Our focus is removing repetitive tasks so people spend time on work that needs judgement, relationships and expertise.

What does a first project cover?

Usually one production workflow with review steps and integration into a tool you already use.

Can you build a customer-facing chatbot?

We can, but we usually start with internal workflows where the value is clearer and the risk lower. Customer-facing AI needs careful limits and escalation to humans.

Let’s build something that moves your business forward.

Tell us what you’re building, where you want to go, and what you need next. You’ll talk directly with the team that does the work.

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