Representative Engagement Patterns

The shape of the work we do.

These examples are representative of the types of problems we solve. Identifying details are abstracted or composited to preserve confidentiality.

Note: Client names, identifying details, and specific metrics are abstracted or composited to preserve confidentiality. Reference conversations are available under NDA for qualified prospects.

Healthcare SaaS

HIPAA-aligned data platform for a regulated SaaS product

A growing health-tech vendor needed to consolidate PHI flows from three legacy ingestion paths into a single audited platform — without disrupting customer integrations or failing their next SOC 2 audit.

AWSPostgresTerraformOpenTelemetry

What we did

Designed segmented ingestion architecture with tenant isolation and field-level access controls
Implemented audit logging, BAA-aware retention policies, and DSR / access-request tooling
Built evidence-collection pipelines for SOC 2 Type II and HIPAA Security Rule controls

Outcomes

Single PHI surface replacing three legacy paths
Auditor-ready evidence pulled on demand instead of assembled quarterly
Customer security reviews shortened from weeks to days

Professional services

Private knowledge assistant grounded in internal documentation

A specialist consultancy wanted a secure internal AI assistant their team could query against thousands of historical engagement documents — without leaking client information or producing confident-sounding hallucinations.

Vector DBLLM APIsPythonNext.js

What we did

Designed a RAG architecture with tenant-scoped retrieval, citation grounding, and access controls inherited from the source documents
Built evaluation harness covering answer faithfulness, citation accuracy, and refusal behavior
Implemented monitoring, prompt-injection defenses, and human review workflows for sensitive queries

Outcomes

Internal pilot adopted across multiple practice areas within 8 weeks
Evaluation harness made AI behavior measurable instead of anecdotal
Documented governance approach aligned with NIST AI RMF

Financial services

SOX-friendly reporting platform replacing fragile spreadsheets

A finance organization was producing monthly close reports from a stack of linked spreadsheets — slow, error-prone, and impossible to audit. They needed a system with controlled inputs, traceable transformations, and review checkpoints.

SnowflakedbtPostgresTypeScript

What we did

Designed an ELT pipeline with versioned transformations, lineage tracking, and approver checkpoints
Built a review UI with role-based access, change history, and an exportable audit trail
Mapped controls to SOX ITGC requirements and created evidence dashboards for the audit team

Outcomes

Monthly close timeline reduced by half
Every reported number traceable to its source data and the reviewer who approved it
Clean walkthrough on first SOX ITGC review post-launch

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