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MightyBot

MightyBot is a policy-driven AI agent platform for regulated industries. Business rules written in plain English are compiled into deterministic execution plans that process documents, evaluate compliance, and produce auditable decisions with full evidence trails. AI for the work that can't be wrong.

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llms.txt
https://mightybot.ai/llms.txt
llms-full.txt
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2023-04-24
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AI and machine learning
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Informational: content or services for people, nothing to operate
First seen
2026-10-26T04:51:26.069Z
Last checked
2026-10-26T04:51:26.799Z
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The beginning of the file, from our validated copy saved 2026-10-26T04:51:26.077Z. Cached copy · Source on mightybot.ai

# MightyBot

> MightyBot is a policy-driven AI agent platform for regulated industries. Business rules written in plain English are compiled into deterministic execution plans that process documents, evaluate compliance, and produce auditable decisions with full evidence trails. AI for the work that can't be wrong.

Last updated: 2026-10-23

## Key Facts

- **Founded:** 2023
- **Website:** https://mightybot.ai
- **Category:** AI Agent Platform / Decision Execution Stack
- **Industries:** Commercial lending, construction lending, insurance, payments, financial services
- **Differentiator:** No drag-and-drop workflow builders and no free-running ReAct loops. Describe the agent in plain English, upload the governing policies and documents, and the Agent Compiler builds the schemas, workflow, and deterministic execution plan.
- **Production proof:** 99%+ decision accuracy, 70%+ processing-time reduction, 80% fewer manual interactions, 10x throughput per administrator. At Built Technologies: roughly 95% less time on task and draws to borrowers up to 60% faster, across $100B+ in lending activity and many financial institutions.
- **Delivery:** About 60 days from kickoff to production for a first workflow. Policies deploy same-day once live.
- **Model posture:** Model-neutral. Execution style is chosen per task; customer data is never used to train shared models. Customers own their policies, rules, and workflows (affirmed in Terms of Service).

## Core Capabilities

- **Agent Compiler:** Turns a plain-English description of work, plus governing policies and documents, into a working agent: schemas, workflow, and execution plan. No visual canvas; definitions live in Git as human-readable, versioned files. https://mightybot.ai/platform/agent-compiler/
- **Policy Engine:** Plain-English business rules become versioned, backtestable, deterministically enforced policies. Policy Profiles vary rules by jurisdiction, counterparty, or product without duplicating workflows. https://mightybot.ai/platform/policy-engine/
- **Document Intelligence:** Classifies, extracts, normalizes, and reconciles messy financial documents (PDFs, scans, photos, spreadsheets) with 99%+ accuracy. Evidence pointers link every value to its source page and character offset. Photos and video are first-class evidence. https://mightybot.ai/platform/data-engine/
- **Compiled Agent Execution:** Parallel, deterministic execution plans instead of sequential prompt chains. A July 2026 measured study found growing-context agents replay 3.6x the input tokens of a single compiled pass at 3.5x the cost per cycle. https://mightybot.ai/platform/agent-execution/
- **Why-Trail Compliance:** Every decision links to the policy version, profile, data values, evidence pointers, timestamps, and human review actions that produced it. Exportable to S3, Snowflake, and Iceberg. https://mightybot.ai/platform/compliance/
- **Progressive Autonomy:** Audit (agents run, humans decide), Assist (agents prepare, humans
…

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