AI-Powered Solutions Suite
Executive Summary
This portfolio presents six AI-powered products designed to transform how organizations operate across critical business functions. Each solution leverages agentic AI architectures — combining specialized agents, intelligent orchestration, and human oversight — to deliver measurable improvements in efficiency, compliance, and service quality.
From enterprise AI governance (ACI™) and technical operations automation (HACI™) to legal workflow optimization (LARA™), customer support transformation (CX-Catalyst™), healthcare compliance intelligence (Agentic-CMMS™), and FCRA litigation management (FCRA Agentic™), this suite addresses diverse operational challenges with a consistent philosophy: AI that is transparent, auditable, and human-supervised.
| Product | Category | Target Market | Core Tech | Status |
|---|---|---|---|---|
| ACI™ | AI Governance & Orchestration | Multi-agent enterprises | Python agents | Implemented |
| HACI™ | Technical Support Automation | IT Operations teams | LangGraph, Claude | Production-Ready |
| LARA™ | Legal Operations & Research | Legal departments | n8n, Claude, Gemini | Implemented |
| CX-Catalyst™ | Customer Support Automation | Support organizations | n8n, Claude, pgvector | Deployed |
| Agentic-CMMS™ | Healthcare Compliance | Hospitals & health systems | n8n, Python, YAML | Phase 1 |
| FCRA Agentic™ | Litigation Management | FCRA litigation firms | n8n, Claude, Supabase | Production-Ready |
Overview
ACI™ is an Agentic Collaborative Intelligence framework designed to orchestrate multi-agent ecosystems where specialized AI entities autonomously collaborate, make decisions, and execute complex workflows. Built on a foundation of ethical governance, security, and compliance, ACI™ provides the architectural backbone for responsible AI deployment at enterprise scale.
Key Capabilities
- Four-layer architecture: Foundation Agents, Swarm Collaboration, Human-Agent Collaboration, and Orchestration
- Confidence-based decision gating with autonomous, review, collaborative, and escalation thresholds
- Agent System Cards and Transparency Registry for external audit and trust
- Whistleblower protection mechanisms and ethical governance safeguards
- Agent lifecycle and succession management with knowledge preservation protocols
- Circuit breaker patterns for resilience and fault tolerance
Value Proposition
ACI™ enables organizations to deploy AI agent systems with confidence by embedding governance, transparency, and human oversight directly into the architecture. It ensures that as AI agents grow in capability, they remain accountable, auditable, and aligned with organizational values.
Product Details
| Category | AI Governance & Orchestration Framework |
| Target Market | Enterprises deploying multi-agent AI systems |
| Core Technology | Python-based agent orchestration |
| Deployment | On-premise / Private Cloud |
| Status | Documented & Implemented |
Overview
HACI™ is an enterprise-grade AI automation platform purpose-built for technical support and DevOps operations. It combines Anthropic's Long-Running Agent Harness pattern with multi-agent swarm intelligence and provider-agnostic LLM orchestration, delivering dramatic reductions in resolution time and cost while maintaining high accuracy.
Key Capabilities
- Four execution modes: Single Agent (60%), Micro-Swarm (25%), Full Swarm (14%), Human-Led (1%)
- 10 specialized agents covering Log Analysis, Database, Code, Infrastructure, Security, and more
- THINK → ACT → OBSERVE → EVALUATE harness pattern for structured reasoning
- Provider-agnostic LLM selection: Claude, GPT-4, Gemini, with dynamic fallback
- Multi-agent consensus protocol: BROADCAST → DELIBERATION → CONSENSUS → SYNTHESIS
- LangGraph and LangSmith observability for full operational transparency
Value Proposition
HACI™ delivers transformative operational results: 85% ticket auto-resolution rate, 90% MTTR reduction (4 hours down to 20 minutes), and 96% cost reduction ($42 vs. $1,035 per ticket). It enables lean technical teams to handle enterprise-scale operations without sacrificing quality or oversight.
Product Details
| Category | Technical Support & DevOps Automation |
| Target Market | IT Operations & Technical Support teams |
| Core Technology | Python 3.11+, LangGraph, LangSmith |
| Integrations | PostgreSQL, TimescaleDB, Redis, Kubernetes |
| Status | Production-Ready |
Overview
LARA™ is an AI-powered legal operations platform that streamlines matter management, research automation, and client communication. It converts unstructured conversations into tracked legal matters, automates document collection and analysis, and provides intelligent tools for settlement valuation, demand letter generation, and legal discovery support.
Key Capabilities
- Chat-to-Matter conversion: transforms unstructured conversations into classified legal matters
- AI-powered conversation parsing with participant tracking, sentiment analysis, and topic extraction
- Automated action item extraction with deadline management
- Settlement valuation calculator and demand letter generation
- Legal discovery support module with document collection workflows
- Multi-model AI pipeline: Google Gemini for parsing, Claude Sonnet for action extraction
Value Proposition
LARA™ reduces the administrative burden on legal teams by automating intake, classification, and research workflows. Legal professionals spend less time on data entry and document management, and more time on high-value strategic work. The platform ensures no critical details or deadlines are missed across the matter lifecycle.
Product Details
| Category | Legal Operations & Research Automation |
| Target Market | Legal departments, law firms, compliance teams |
| Core Technology | n8n workflows, Claude Sonnet, Google Gemini |
| Data Layer | PostgreSQL / Supabase, Confluence |
| Status | Implemented |
Overview
CX-Catalyst™ is an AI-powered customer support automation system that transforms reactive support into proactive, scalable operations. Through intelligent classification, self-service resolution, and continuous learning, it enables organizations to resolve the majority of support requests automatically while routing complex issues to the right human experts.
Key Capabilities
- Five integrated workflows: Smart Intake & Triage, Self-Service Resolution, Proactive Issue Detection, Collaborative Support, and Continuous Learning
- Confidence-based routing: Self-service (≥85%), Collaborative (≥60%), Escalation (<60%)
- Vector embeddings with pgvector for semantic knowledge base search
- Proactive anomaly detection and system monitoring on 15-minute intervals
- Automated learning from resolved cases to continuously improve resolution accuracy
- Multi-channel support via Slack, Gmail, and Jira integrations
Value Proposition
CX-Catalyst™ enables support teams to handle growing ticket volumes without proportional headcount increases. By automatically resolving routine requests and proactively detecting issues before customers report them, it improves customer satisfaction while reducing operational costs. The continuous learning loop means the system gets smarter with every resolved case.
Product Details
| Category | Customer Support Automation |
| Target Market | Customer support & success organizations |
| Core Technology | n8n orchestration, Claude 3.5 Sonnet, OpenAI embeddings |
| Integrations | Slack, Gmail, Jira, Confluence, Grafana |
| Status | Deployed |
Overview
Agentic-CMMS™ is a healthcare-focused AI-driven analytics platform that overlays existing CMMS systems. It ingests maintenance data and cross-correlates it with asset configuration, network monitoring, vulnerability management, recall databases, and regulatory standards to produce actionable intelligence and auditable compliance evidence for healthcare organizations.
Key Capabilities
- 11 specialized modules: Orchestrator, Data Ingestion, KPI Computation, Compliance Engine, Analytics, Recommendations, Evidence Packs, RAG Document Ingestion, Dashboard, SPC Engine, and NLP Pipeline
- Deterministic YAML-based compliance engine — never in the LLM decision path for audit integrity
- Policy-as-Code with versioned rule definitions and SHA-256 evidence fingerprinting
- Multi-source data integration: CMMS, ServiceNow CMDB, ORDR, Tenable, ECRI
- Statistical Process Control (SPC) for maintenance anomaly detection
- Automated Evidence Pack generation (PDF/DOCX) for TJC, CMS CoP, and AAMI audits
Value Proposition
Agentic-CMMS™ gives healthcare organizations a unified view of equipment compliance, maintenance performance, and risk exposure. By automating evidence collection and separating deterministic compliance logic from AI-assisted analysis, it provides the auditability regulators demand while delivering the operational intelligence teams need to improve uptime and reduce risk.
Product Details
| Category | Healthcare Equipment Compliance & Analytics |
| Target Market | Hospitals, health systems, clinical engineering teams |
| Core Technology | n8n (Phase 1), LangChain/LangSmith (Phase 2), Python |
| Data Sources | CMMS, ServiceNow, ORDR, Tenable, ECRI, AAMI/TJC/CMS |
| Status | Phase 1 — Active Development |
Overview
FCRA Agentic™ is an agentic AI-powered legal case management system designed specifically for Fair Credit Reporting Act (FCRA) litigation. Built on the Cognitive Blueprint Architecture, it automates the entire intake-to-closure workflow — from viability scoring and credit report parsing to dispute letter drafting and client communications — while keeping attorneys in full control of legal judgment through rigorous human-in-the-loop safeguards.
Key Capabilities
- 12-module agentic pipeline: Orchestrator, Intake Triage, Credit Report Parser, Chronology Builder, Dispute Letter Drafter, Communications, Email Sender, Status Monitor, Re-Analysis, Attorney Notifications, LangSmith Observability, and Audit Reporting
- Cognitive Blueprint Architecture with four-phase execution: Plan (Sonnet) → Execute (Haiku) → Synthesize (Sonnet) → Validate
- Human-in-the-loop gates: all substantive outputs require attorney approval before client delivery
- AI-powered credit report parsing with tradeline extraction, error identification, and bureau discrepancy analysis
- LangSmith observability for end-to-end pipeline tracing, latency monitoring, and agent performance analytics
- Comprehensive audit reporting with immutable trail — actor, timestamp, and IP logging for every action
Value Proposition
FCRA Agentic™ reduces case preparation time by up to 95% while maintaining strict attorney oversight and compliance with legal ethics standards. It covers all 10 FCRA violation categories — from inaccurate information and mixed files to identity theft and furnisher violations — and ensures no critical deadlines, statute of limitations, or documentation gaps are missed across the case lifecycle.
Product Details
| Category | Legal Case Management & Litigation Automation |
| Target Market | Consumer rights attorneys, FCRA litigation firms |
| Core Technology | n8n workflows, Claude Sonnet 4.6 / Haiku 4.5, Supabase |
| Integrations | Gmail OAuth2, Slack API, GitHub Pages Dashboard |
| Data Layer | Supabase PostgreSQL (8 tables, RLS enabled) |
| Status | Production-Ready |