Solutions built for regulated and document-heavy workflows.
Evaluate the workflow, controls, pilot path, and delivery artifacts for each solution before you commit.
Primary solutions
Where we deliver the most impact
Additional solutions
More governed AI workflows
Engagement patterns
Representative engagement patterns
Illustrative examples based on common delivery patterns. Estimated outcomes are directional and vary by workflow, data quality, and deployment scope.
Prior Authorization Copilot
Before
Manual prior auth review averaging 5–15 days per request. Staff spent 40%+ of time on form completion and follow-ups.
What we delivered
RAG-based copilot that retrieves clinical guidelines and drafts prior auth decisions for nurse reviewers.
Controls included
What changed
Claims Intake & Triage Automation
Before
Claims processing took 15–30 days due to manual document review. Inconsistent adjuster decisions across similar claims.
What we delivered
Document extraction pipeline with classification, summarization, and adjuster copilot UI.
Controls included
What changed
FOIA Records Search & Redaction
Before
FOIA request backlogs measured in months. Manual document search across siloed systems. Inconsistent redaction.
What we delivered
Searchable index over legacy records with AI-assisted redaction and human-in-the-loop review.
Controls included
What changed
AML Investigation Copilot
Before
Investigation backlogs growing faster than analyst capacity. Analysts spent 70%+ of time on data gathering vs. actual analysis.
What we delivered
Evidence retrieval with grounded summaries and draft SAR narratives, gated by analyst approval.
Controls included
What changed
Buyer evidence
Sample delivery artifacts
Standard templates and frameworks from our delivery toolkit. Available on request.
Pilot Brief
Scoped pilot plan with timeline, deliverables, success criteria, and risk mitigations.
Architecture One-Pager
Production-ready reference architecture with security controls and integration points.
Evaluation Plan
Framework for measuring AI system quality with domain-specific test suites and regression gates.
Threat Model
AI-specific security threat model with mapped mitigations and remediation evidence.
Monitoring Dashboard
Observability template tracking quality, latency, cost, safety metrics, and drift detection.
Technical blueprints
Reference architectures
Production-tested blueprints we adapt to your stack and security requirements.
Enterprise RAG Pipeline
End-to-end retrieval-augmented generation with ingestion, chunking, vector store, reranking, and response synthesis.
Workflow: Document Q&A, copilots
Controls: RBAC, PII filtering, citation grounding
Environment: Cloud or hybrid
Agentic Workflow with Approval Gates
Multi-step agent orchestration with human-in-the-loop approval, tool use governance, and immutable action logs.
Workflow: Multi-step automation
Controls: Approval gates, action-level audit logs
Environment: Enterprise SaaS
Document Processing & Extraction
OCR, classification, entity extraction, and structured output pipeline for high-volume document workloads.
Workflow: Claims, prior auth, records
Controls: PII/PHI handling, accuracy monitoring
Environment: Cloud or on-premises
Copilot with Connector Governance
Enterprise copilot deployment with DLP policies, connector access controls, and usage monitoring.
Workflow: M365 Copilot governance
Controls: DLP, connector lockdown, usage analytics
Environment: Microsoft 365
Vision Inspection & Quality Loop
Computer vision pipeline for manufacturing defect detection with feedback loops and continuous model improvement.
Workflow: Quality inspection
Controls: Model versioning, drift detection, human override
Environment: On-premises / edge
Want to see which solution fits your environment?
We'll walk you through the workflow, controls, sample artifacts, and pilot approach that best match your stack.