MightyBot provides a policy‑driven AI platform that extracts structured data from unstructured documents, applies plain‑English business rules, and executes parallel decision plans with audit‑grade traceability. It integrates with existing systems to automate compliance‑heavy workflows in lending, insurance, payments and related regulated sectors, delivering high‑accuracy decisions and real‑time regulatory audit trails.
Funding
Funding not disclosed
Founders
Product
Problem
Regulated industries such as lending, insurance, and payments rely on complex, policy‑driven workflows that involve messy documents, layered business rules, and multiple legacy systems. Manual processing leads to high error rates, slow turnaround, and audit trails that are assembled after the fact, making compliance difficult.
Solution
MightyBot offers a policy‑driven AI agent platform that converts plain‑English policies, unstructured documents, and system data into deterministic execution plans. Its Decision Execution Stack combines four tightly integrated layers: AI document intelligence that extracts structured data with full evidence traceability; a policy engine that enforces versioned plain‑English rules; compiled agent execution that generates parallel, token‑efficient plans with 99%+ accuracy; and enterprise integrations that turn systems of record into systems of action. The platform automatically writes results back to source applications and produces regulatory‑grade audit trails linking every decision to its originating data, rule, and timestamp. Users can back‑test policy changes on historical data and iteratively refine policies without developer sprints, enabling rapid, auditable automation of previously intractable workflows.
Target Audience
Primary customers are compliance, risk, and operations teams in regulated sectors such as commercial lending, insurance, payments, and real‑estate finance that need to automate complex, policy‑heavy workflows while maintaining auditable evidence.
Features
- AI Document Intelligence pipeline that ingests PDFs, scans, photos, spreadsheets, and API payloads, extracting high‑confidence structured data with character‑level precision and full evidence traceability.
- Plain‑English Policy Engine that allows subject‑matter experts to write, version, and instantly deploy layered business rules; every evaluation is deterministically linked to its source rule.
- Compiled AI Agent Execution that transforms policies into parallel execution plans, achieving 4‑5× token efficiency, 70% faster processing, and 99%+ decision accuracy.
- Enterprise Integration layer that reads from and writes back to existing systems of record via APIs, webhooks, and native connectors, preserving legacy investments while enabling action.
- Automated regulatory‑grade audit trails that capture the policy, data, and timestamp for each decision, generated in real time without manual assembly.
- Collaborative policy refinement and managed back‑testing tools that let teams test rule changes against historical data and continuously improve agent performance.
- Production‑ready security and compliance features, including SOC 2 Type II certification, multi‑tenant isolation, and sensitive field encryption.