Case studies

Work that is running today.

Automation, integration and AI work our engineering team has delivered. Each case covers the problem, what was built and what changed. Client names are withheld on request; we can walk you through any of them on a call.

Logistics · US

Paper invoice approvals replaced with AI checks and a human safety net

A freight-factoring platform for carriers and brokers

PythonML model integrationNode.jsREST APIsMobile
The problem

Invoice factoring ran on paper: scanned invoices and signatures were checked by hand before any money moved, which slowed every approval.

What was built
  • An AI signature-verification step inside the document intake and approval flow
  • Confidence thresholds: clear cases pass, unclear ones go to a person
  • A full audit log of every automated and manual decision
What changed

Approvals moved from paper to a cloud workflow, with people reviewing only the cases the model is unsure about.

B2B sales · US

Follow-up tracking moved from spreadsheets to a live sales board

A B2B sales-automation company

LangGraphSendGrid webhooksn8nNode.jsReact
The problem

The sales team tracked prospects and multi-step follow-ups in spreadsheets, with no shared view of who was where or who needed a call.

What was built
  • A central sales board where the team runs structured follow-up steps
  • Email webhooks, so every reply and bounce updates the record on its own
  • AI enrichment and lead scoring to rank who to call first
What changed

Spreadsheet tracking was replaced with a live board and admin dashboards covering thousands of prospects.

Enterprise · Fortune 500

Governed AI answers over company data, rolled out to an enterprise

A Fortune 500 consumer-goods company

LangGraphRAGPythonNode.jsAWS EKS
The problem

Teams wanted AI answers over internal data, but security required that people only ever see what their role allows.

What was built
  • Role-scoped data access: the AI retrieves and shows data strictly by enterprise role
  • Guardrails, evaluations and multi-model review before answers reach people
  • Human approval steps on anything that changes data
What changed

A multi-agent AI platform being rolled out inside the company's own environment.

Operations · SaaS

A workflow engine that teams use to design and run their own processes

A business process management product

ReactNode.jsMongoDBRedisBullMQ
The problem

Teams needed to build forms, approvals and multi-step processes without writing code, and trust that every step ran.

What was built
  • Form builder and drag-and-drop workflow builder
  • An automation engine with queued, retryable jobs
  • Audit logging of every task and change
What changed

A multi-tenant platform where business teams design, launch and track their own processes.

Travel · Sales and accounting

CRM and ERP in one system, with lead scoring built in

A travel company

PHPMySQLScheduled jobsREST APIs
The problem

Leads, bookings and accounts lived in separate places, and data was copied between them by hand.

What was built
  • CRM and ERP modules on one data model
  • Lead scoring and customer-interaction tracking
  • Automated data-fetching jobs in place of manual imports
What changed

Sales and accounting worked from the same records, without re-keying.

Healthcare billing · US

Claims checked before they are sent, not after they are denied

A billing-intelligence platform for behavioral health providers

PythonFastAPINode.jsLLM extractionRules engine
The problem

Claim documents were read by OCR and checked by hand, so errors were caught late.

What was built
  • LLM document extraction in place of OCR
  • A rule-based claim-validation engine that flags problems before submission
  • Multi-tenant, role-based access built for HIPAA-aware handling
What changed

Claim readiness is checked automatically, with staff fixing flagged items before submission.

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