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AI AutomationAI steps embedded into the workflows you already run.

Not every AI use case needs a chat interface. We add classification, extraction, summarisation and drafting to existing processes — with validation, confidence checks and human review where it matters.

Automate a workflowHow it works

Language models embedded into the workflows you already run.

What you get

  • Classification and routing
  • Data extraction
  • Summarisation
  • Drafting with review

01The problem

Much of the repetitive work in a business is reading and sorting.

Emails to triage, documents to read, forms to key in, notes to summarise. Rule-based automation struggles with unstructured text, so this work stays manual.

  • Inboxes sorted and forwarded by hand
  • Data re-typed from PDFs, images and emails
  • Long threads and calls summarised manually
  • Standard replies and documents drafted from scratch each time

02The solution

Structured outputs from unstructured inputs — checked before they move on.

We use AI models to turn text, documents and conversations into structured data your systems can use, then validate that data against business rules before it triggers anything.

  • 01

    Classification and routing

    Categorise messages, tickets and documents and send them to the right queue.

  • 02

    Data extraction

    Pull fields from invoices, forms, purchase orders and emails into structured records.

  • 03

    Summarisation

    Condense calls, threads and reports into short, consistent summaries.

  • 04

    Drafting with review

    Prepare replies, quotes and documents for a person to approve and send.

03How it works

From request to result, step by step.

  1. 1

    Input arrives

    An email, document, form or transcript enters the workflow.

  2. 2

    AI processes it

    A model classifies, extracts or summarises into a defined schema.

  3. 3

    Validation

    Outputs are checked against rules and confidence thresholds; uncertain items go to review.

  4. 4

    Workflow continues

    Clean data updates systems and triggers the next step automatically.

04Typical use cases

Where it fits.

  • Email triage

    Sort shared inboxes by intent and urgency, and route to the right team.

  • Invoice and document processing

    Extract line items and totals, match to purchase orders and flag mismatches.

  • Call and meeting summaries

    Consistent notes pushed to the CRM with next steps and owners.

  • Content and response drafting

    First drafts of replies and documents, reviewed by staff before sending.

Technology

  • LLMs
  • Python
  • Computer Vision
  • OCR
  • Data Pipelines
  • FastAPI
  • PostgreSQL
  • Queues

Chosen per project for fit, maintainability and cost. No vendor partnership or certification implied.

05Process

How we deliver ai automation projects.

  1. 01

    Understand

    Collect real samples of the inputs and the decisions people make today.

  2. 02

    Architect

    Output schemas, validation rules, confidence thresholds and review paths.

  3. 03

    Build

    Prompting, model selection and an evaluation set to measure accuracy.

  4. 04

    Integrate

    Connect inputs and outputs to your inboxes, storage and systems of record.

  5. 05

    Optimise

    Monitor accuracy and review rates; improve with new examples over time.

06FAQ

Common questions.

How accurate is AI extraction?

It depends on the document types and quality. We measure accuracy on your own samples before going live and route low-confidence results to people, so errors are caught rather than propagated.

Do people stay in control?

Yes. We decide together which steps run automatically and which need approval. Sensitive actions always have a review step.

Can this work with scanned documents and images?

Yes, using OCR and vision-capable models. Quality of the source affects accuracy, which is why we test with real samples first.

Related services, solutions & reading

AI Automation

Is your team reading and re-typing the same things every day?

Send us a description of the inputs and we'll outline an AI-assisted workflow.

Automate a workflow
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