From AI Co-Pilot to Autonomous Reconciliation
Our phased AI vision ensures progressive automation, empowering users at each stage and ultimately delivering near-autonomous reconciliation. We are evolving toward a multi-agent Recon Studio to drastically reduce configuration and operations workload.
Live AI Capabilities
Our core AI modules are already live and delivering value, automating complex tasks and empowering users.
AI Transform Assistant
Describe transformation goals in natural language, and our AI assistant generates the precise transformation rules. This dramatically reduces ETL configuration time and empowers business users.
AI Match Rule Assistant
Create and refine complex matching rules through a conversational interface. The assistant provides full CRUD capabilities with validation and clear explanations, accelerating the most time-consuming part of reconciliation setup.
The AI Roadmap
Our journey is just beginning. We have a clear, phased roadmap to continuously enhance our AI capabilities and deliver ever-increasing value to our customers.
Phase 1: AI Co-Pilots Live (Current)
Production-ready conversational AI agents for ETL Transformation and Match Rule Creation. Users build complex rules using natural language with LangGraph guardrails and full CRUD capabilities.
Phase 2: Multiple Agent Crew
Building specialized AI agents: Extract Intelligence Agent for file analysis, Research Agent for break investigation, Validation Agent for quality assessment, and Learning Agent for continuous improvement from user interactions.
Phase 3: Autonomous Crew
Guarded autonomous system where specialized AI agents collaborate via LangGraph orchestration to manage end-to-end reconciliation with human oversight and approval gates.
Phase 4: AI Recon Studio
No-code drag-and-drop canvas for business users to design and deploy AI workflows. Starting with Break Research and Resolution using pre-built nodes like Context Loader, RAG Explainer, and Action Suggester.
Guarded Autonomous Agent Crew
Our future vision features a collaborative crew of 4 specialized AI agents working together via LangGraph orchestration to deliver guarded autonomous reconciliation with human oversight.
Extract Intelligence Agent
File format analysis, pattern recognition, channel optimization, and connection monitoring with health checks.
Transform Builder Agent
Column mapping intelligence, data quality analysis, transformation rule generation, and format standardization.
Match Strategy Agent
Intelligent match rule creation, strategy selection (1:1, 1:M, M:M), tolerance optimization, and complex matching logic.
Learning & Memory Agent
Pattern storage and retrieval, success/failure analysis, continuous learning from interactions, and knowledge sharing between agents.