Document Processing Pipelines
OCR, classification, and structured extraction from invoices, contracts, forms, and reports — handling multi-column layouts and handwritten content.
- Multi-format ingestion
- Confidence scoring
- Human-in-loop fallback
We build tool-connected agents and workflow automation with explicit state, retries, approvals, auditability, and operational fallback paths.
Scope follows the real workflow, environment, failure modes, and ownership model rather than a fixed vendor package.
OCR, classification, and structured extraction from invoices, contracts, forms, and reports — handling multi-column layouts and handwritten content.
Connecting CRMs, ERPs, databases, and APIs into unified workflows. REST, GraphQL, SOAP, and database-level integration.
Durable workflow engines with branching, retries, and failure recovery. Built on Temporal or Airflow depending on complexity.
Dashboards tracking every automation run, success rate, and processing time. Alerts are configured to surface failures and degraded behavior for operational response.
UI-level automation for systems without APIs — safely scripted, brittle change detection included.
We document every step of your current workflow — including exceptions and edge cases that most automation projects overlook.
Current Process Process MapMap all source systems, APIs, and data formats involved. Identify integration methods and authentication requirements.
Systems List Integration PlanIterative build against real data and edge cases. Every failure mode is handled explicitly — not left to default error behaviour.
Integration Plan Tested PipelineRun full end-to-end test in staging with production-representative data volumes before any live traffic.
Tested Pipeline Approved BuildPhased cutover with parallel run against the manual process until confidence is established. Rollback plan in place.
Approved Build Live AutomationOperational dashboards track every run. Failure alerts are designed to surface operational issues early. Runbooks document expected recovery paths and escalation steps.
Live Traffic Stable SystemTechnology follows environment, operating constraints, team ownership, and long-term maintainability.
Temporal · Apache Airflow · Prefect · n8n
AWS Textract · Azure Form Recognizer · PaddleOCR · Tesseract
REST APIs · GraphQL · MuleSoft · Custom ETL
Grafana · Datadog · Sentry · PagerDuty
Playwright · Pyppeteer · UiPath SDK
Invoice processing, loan document extraction, regulatory reporting automation, reconciliation pipelines.
Patient referral routing, prior authorisation workflows, claims processing, lab result handling.
Order processing, carrier API integration, customs documentation, tracking update automation.
Purchase order processing, supplier integration, quality report routing, ERP data sync.
No. We build automation around what you already have — connecting and orchestrating existing systems rather than replacing them.
Every workflow we build has explicit failure handling — retries, dead-letter queues, and alerting. Retries, dead-letter handling, and alerting are configured so failures can be surfaced and handled through defined operational paths.
For API-based integrations, schema changes are caught at validation. For UI-level RPA, we implement change detection and alert on layout drift. Both approaches are documented in the runbooks we hand over.
Your team does. We hand over all code, documentation, and runbooks. Everything is built for maintainability, not ongoing dependency.
Tell us what process you want to automate. We will come back with an honest assessment of what is feasible and how long it will take.