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Embedded AI Engine: 36 AI Capabilities Built Into Your Banking Workflows

· 3 min read
BankLingo Team
BankLingo Team
Product & Engineering

BankLingo ships with an Embedded AI Engine — 36 AI capabilities that you can add to any BPMN workflow as a drag-and-drop service task node. No external ML pipelines, no data engineering team, no separate infrastructure.

How It Works​

  1. Open your workflow in the BPMN visual designer.
  2. Drag an AI Service Task onto the canvas.
  3. Select the capability (e.g., "Fraud Detection", "Document OCR", "Sentiment Analysis").
  4. Choose a model provider — OpenAI, Azure AI, Hugging Face, Anthropic, or your own self-hosted model.
  5. Deploy. The AI result flows back into your process variables for downstream decisions.

That's it. No code changes. No external API wiring. No ML ops overhead.

Capabilities at a Glance​

Vision & Document Processing​

  • Optical Character Recognition (OCR) — Extract text from ID cards, utility bills, bank statements, and scanned documents.
  • Face Detection & Verification — Automated selfie-to-ID matching for KYC onboarding.
  • Image Classification — Categorise uploaded documents by type automatically.

Text & Natural Language Processing​

  • Sentiment Analysis — Gauge customer satisfaction from support tickets, emails, and feedback.
  • Entity Extraction — Pull names, dates, amounts, and account numbers from unstructured text.
  • Text Classification — Route customer requests to the right department automatically.
  • Document Summarisation — Condense long compliance documents, reports, or correspondence.
  • Text Generation — Draft customer communications, reports, and notifications using GPT-4 or Claude.

Fraud & Risk​

  • Anomaly Detection — Flag unusual transaction patterns in real-time.
  • Transaction Scoring — Assign risk scores to every transaction based on historical patterns.
  • Behavioural Analysis — Detect account takeover attempts by comparing usage patterns.

Speech & Audio​

  • Speech-to-Text — Transcribe call centre recordings for compliance review and training.
  • Text-to-Speech — Generate IVR voice prompts and automated customer notifications.
  • Audio Classification — Detect urgency, emotion, or fraud indicators in voice interactions.

Search & Intelligence​

  • Semantic Search — Search customer records, compliance documents, and knowledge bases by meaning, not just keywords.
  • Code Intelligence — AI-powered review and generation of custom workflow scripts.

Real-World Use Cases​

Automated KYC Onboarding — A customer uploads their ID and selfie. The OCR node extracts document details, the face detection node verifies the selfie matches the ID photo, and a risk scoring node flags anything suspicious — all inside a single BPMN process.

Fraud Detection in Transfers — Every outward transfer passes through an anomaly detection node that scores the transaction against historical patterns. High-risk scores trigger a hold and route to a manual review user task.

Complaint Triage — Customer emails are processed through sentiment analysis and entity extraction, then automatically routed to the appropriate department with a priority score.

Multi-Provider Support​

You're not locked into a single AI vendor. Configure different providers for different capabilities:

  • OpenAI (GPT-4, GPT-4o) — Text generation, summarisation, classification
  • Azure AI — Vision, speech, document intelligence
  • Hugging Face — Open-source models for specialised tasks
  • Anthropic (Claude) — Long-context analysis and reasoning
  • Self-Hosted — Bring your own models for data sovereignty requirements

Explore all 36 AI capabilities → · Request a demo →