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AI-Powered Automation

Automation That Thinks, Not Just Follows Rules

Add intelligence to workflows — AI document processing, smart routing, NLP triggers.

Standard automation handles structured, predictable inputs. AI-powered automation handles the messy reality of business — unstructured documents, variable inputs, complex decisions. We integrate proven AI models into your workflows to handle what rule-based systems can't.

94%

Document classification accuracy for HealthBridge's compliance workflow

Real-World Use Cases

AI Document Processing

Automatically extract data from invoices, contracts, forms, and emails using AI — regardless of format, layout, or sender.

Intelligent Email Routing

AI reads incoming emails, classifies intent, and routes them to the right team or triggers the right workflow — no manual triage.

Smart Contract Analysis

AI extracts key terms, flags anomalies, and summarises contracts — saving legal and procurement teams hours of manual review.

NLP-Triggered Workflows

Natural language triggers that respond to sentiment, keywords, or intent in customer messages, support tickets, or forms.

AI-Powered Data Classification

Automatically categorise, tag, and route data based on content — invoices by supplier type, support tickets by topic, leads by intent.

Predictive Workflow Routing

Use historical data to predict outcomes and route work to the most appropriate person or process automatically.

Your messiest inputs.
Handled automatically.

Select an input type. See exactly what the AI reads, extracts, and triggers — in one pipeline.

supplier_invoice_march.pdf
readyFinance

Raw Input

From: Meridian Supplies Ltd

Ref: INV-2024-08847

Items: Professional Services × 3

Sub: £11,250.00 VAT: £2,250.00

Total: £13,500.00

Due: Net 30 — 14 Apr 2024

AI Extraction

Supplier99%
Meridian Supplies Ltd
Invoice No.99%
INV-2024-08847
Amount98%
£13,500.00
VAT97%
£2,250.00
Due Date96%
14 Apr 2024
PO Match94%
PO-7741 ✓

Posted to Xero · Approval workflow triggered

Finance team notified · Due date in calendar

Automated

Click any pill to switch input type · click again to replay

📄

Any document, any format

PDFs, emails, images, scans — the AI reads them all. No templates, no fixed layouts required.

🎯

Confidence-scored, auditable

Every extraction comes with a confidence score. Low-confidence results route to a human. Every decision is logged.

Model-agnostic

GPT-4, Claude, Gemini, Document AI — we pick the best model for your task, not the trendiest one.

How We Built a Compliant AI Document Workflow for HealthBridge

HealthBridge needed AI document classification but had strict compliance requirements around accuracy and auditability. We built a custom pipeline using Claude API with a human-in-the-loop fallback for edge cases. The system achieves 94% first-pass accuracy, with every decision fully logged for audit purposes. Document processing time reduced by 85%.

Common Questions

How accurate is AI document processing?

Accuracy varies by document type and complexity. For structured documents (invoices, forms), we typically achieve 90–98% accuracy. For unstructured documents, 85–94% is common. We always design human-in-the-loop fallbacks for low-confidence results.

Which AI models do you use?

We select the best model for each use case — OpenAI GPT-4, Anthropic Claude, Google Gemini, or specialist models for specific tasks like document processing. We're model-agnostic: we pick what works, not what's trendy.

Is AI automation suitable for regulated industries?

Yes, with the right design. We build full audit trails, human-in-the-loop checkpoints, confidence scoring, and explainability into every AI workflow for regulated environments.

What happens when the AI gets it wrong?

We build exception handling and fallback logic into every workflow. Low-confidence results are flagged for human review with full context. The system learns from corrections over time.

How does AI automation differ from standard automation?

Standard automation requires structured, predictable inputs and explicit rules. AI automation can handle unstructured inputs (PDFs, emails, images), make judgement calls based on context, and improve accuracy over time.

What data is needed to train or configure the AI?

For most use cases, we don't need to train a model from scratch. We configure and prompt existing foundation models with your specific requirements. For highly specialised tasks, we may fine-tune on a sample of your data.

Ready to Add Intelligence to Your Workflows?

Book a free strategy call. We'll assess your current workflow, identify automation opportunities, and give you an honest plan — whether you work with us or not.

Book Your Free Call