PLATFORM

AI Agent Platform for Regulated Workflows

The Decision Execution Stack brings document intelligence, policy enforcement, compiled agent execution, enterprise integrations, security, and audit trails into one production platform.

Why MightyBot

MightyBot is an AI agent platform for regulated workflows that have resisted automation for decades. Four layers - document intelligence, policy engine, compiled agent execution, and systems of action - operate as one stack for regulated industries. 70% faster processing. 80% fewer manual steps. 99%+ decision accuracy. Production-ready.

The Decision Execution Stack for Regulated Workflows

Every AI vendor bolts a language model onto existing software. That works for simple workflows. It falls apart when complexity or compliance enter the picture. The Decision Execution Stack is four layers engineered to operate as one.

AI Document Intelligence

PDFs, scans, photos, spreadsheets, and API payloads ingested and turned into structured, policy-ready data with full evidence traceability.

Policy Engine for AI Agents

Plain-English rules. Versioned. Instantly deployed. Your compliance team writes them. The engine enforces them. Extensible policy library.

Compiled AI Agent Execution

Compiled parallel execution plans. 4-5x more efficient token utilization. Faster execution. Parallel processing and recursion built in. 99%+ accuracy.

Systems of Action

Your systems of record become systems of action. MightyBot reads from your enterprise apps and data, executes decisions, and writes results back. No rip-and-replace.

One stack. Four layers. Zero gaps.

Decision Execution
in Three Steps

Ingest & Structure

Documents and data classified, extracted, and mapped to a canonical structure with full evidence traceability.

Evaluate & Decide

Plain English policies evaluate structured data deterministically. Every evaluation traced to its source rule.

Act & Audit

Results write back to your systems of record. Full audit trail generated automatically.

The Architecture Gap

The hardest workflows sit at the intersection of messy data, complex policy, and regulatory consequence. Documents arrive in inconsistent formats. Policies change quarterly. Decisions must be auditable.

Other platforms solve the easy workflows — clean data, simple rules, no compliance burden. MightyBot was built inside the hard environment. Decision traces link every outcome to its source policy and data. Human review gates let compliance teams manage by exception.

They solve easy workflows. We solve hard ones.

The Architecture Gap diagram

Production Reality

MightyBot processes real financial transactions in production today. SOC 2 Type II certified. Multi-tenant isolation. Sensitive field encryption.

95% time reduction in production — Built Technologies. $100B+ in lending activity across many financial institutions.

Not a demo. In production.

AICPA SOC 2 Certified

Applied workflows

Where the platform turns into production workflow execution.

MightyBot's platform layers are reusable across document-heavy, policy-bound workflows. These pages show the strongest applied examples.

Use caseCovenant MonitoringContinuous borrower reporting, covenant calculations, and breach detection.Use caseConstruction Draw ReviewsDraw packet review, inspection reconciliation, lien waivers, and policy checks.Use caseLoan UnderwritingDocument classification, financial spreading, policy evaluation, and credit memo generation.Use caseDocument ProcessingClassify, extract, canonicalize, and trace data from messy documents.AgentLeaseMindCAM reconciliation audit and lease intelligence for multi-location operators.AgentDeadlineShieldReg E, Reg Z, ACH, and card deadline enforcement for disputes operations.AgentSARForgeSource-mapped SAR package generation for BSA/AML teams.

Evaluate alternatives

Compare the platform against build, buy, and enterprise AI alternatives.

Use these pages to pressure-test TCO, token efficiency, regulated-industry fit, and competitor positioning.

EconomicsAI Agent ROI & TCO CalculatorModel engineering headcount, token spend, timeline delay, maintenance, and 3-year TCO.Decision guideBuild vs Buy AI Agent PlatformCompare internal build risk, token efficiency, governance, and production deployment cost.Category guideBest AI Agent Platforms for Regulated IndustriesEvaluate AI agent platforms for policy-driven regulated workflows, compliance, and audit trails.Category guideBest AI Agent Platforms for LendingCompare lending-ready platforms for document intelligence, credit policy, and auditability.CompareMightyBot vs Palantir AIPCompare a broad enterprise AI operating layer against focused regulated workflow execution.CompareMightyBot vs OpenAI AgentKitModels and agent tooling versus policy-driven workflow execution and audit trails.CompareMightyBot vs Google Gemini Enterprise Agent PlatformA powerful AI toolkit compared with a production platform for regulated decisions.

Use Cases

Policy Engine for AI Agents

Plain-English rules, deployed same day

Compiled AI Agent Execution

Compiled execution, not sequential chains

AI Document Intelligence

Document Intelligence Pipeline and Megastore

Enterprise AI Agent Integrations

Systems of record become systems of action

AI Agent Compliance

Decision traces and regulatory-grade audit trails

Secure AI Agent Platform

SOC 2 Type II, multi-tenant isolation, encryption

Why MightyBot

How MightyBot compares to alternatives

Production Results & ROI

Real deployment metrics

See the Decision Execution Stack on your workflows.

Request a demo Calculate your TCO

FAQ

Frequently Asked Questions

What is MightyBot's AI agent platform for regulated workflows?

MightyBot is a Decision Execution Stack for regulated workflows. It combines document intelligence, plain-English policy enforcement, compiled AI agent execution, enterprise integrations, security, and compliance infrastructure in one platform.

Does MightyBot replace existing loan origination or servicing systems?

No. MightyBot wraps around your existing systems via APIs, webhooks, and native connectors. Your LOS remains the system of record. MightyBot adds an execution layer that makes stored data actionable.

What production results does MightyBot achieve?

99%+ decision accuracy. 99%+ document extraction accuracy. 70% faster processing. 80% fewer manual steps. Production metrics, not benchmarks.

How long does deployment take?

A focused first workflow can reach production in about 30 days when policies, documents, and integration access are available. Most teams start in audit or assist mode, prove accuracy, then expand autonomy.

What industries does MightyBot serve?

Construction lending, commercial lending, insurance, payments, and any vertical where compliance, audit trails, and complex policy enforcement are non-negotiable.

Does MightyBot handle messy, unstructured documents?

Yes. The Document Intelligence Pipeline processes PDFs, scanned images, phone photos, and inconsistent formats. It classifies, extracts with character-level precision, and maps to a canonical structure.