Resources

Resources

MightyBot resources - platform whitepaper, production case studies, blog, and technical documentation. Everything for evaluating and deploying AI agent automation.

What you'll find

Everything we publish on running AI agents in regulated work: the platform whitepaper, the measured token-cost study, practical comparison guides, and the blog. Start with the whitepaper for the architecture; start with the cost study if you are modeling spend.

Whitepaper

MightyBot: The Policy-Driven AI Agent Platform

The architecture, design decisions, and production results behind policy-driven AI agent execution.

Download the Whitepaper Format: PDF (gated download)

Compiled execution - parallel agent orchestration vs sequential prompt chains

Policy Engine - plain English rules to deterministic logic

Document Intelligence - extraction, classification, confidence routing

Closed-loop improvement - production data compounding accuracy

Production metrics from live deployments

Case Studies

Measured in MightyBot production deployments.

  • Construction Lending

    Some of the largest lending volumes in production. The hardest document workflow in financial services.

    Read the Case Study
    95% Reduction in time-on-task
    60% Faster draws to borrowers
    10x Throughput per loan administrator
    400% More risk issues detected
    No Re-architecture required

  • Payments

    Automated merchant statement analysis across many formats. Receipt to proposal with faster preparation.

    Read the Case Study
    Merchant browsing shelves in a retail store

Blog

Architecture. Production deployment. Compliance. The thinking behind the platform.

View all posts →

The 60-Day Agent Deployment, Week by Week

Aug 6, 2026 Read →

MCP for the Enterprise: Governed Workflows as Tools

Aug 4, 2026 Read →

Anatomy of a 99% Agent: Production Accuracy

Aug 2, 2026 Read →

AI Agent Pricing Models Compared

Jul 30, 2026 Read →

Why Voting Does Not Get AI Agents to 99%

Jul 28, 2026 Read →

Documentation

Integration Guides

API Reference Agent execution, policy management, data retrieval Webhook Configuration Real-time event notifications LOS Integration Connecting to your loan origination system Document Upload Batch and real-time ingestion Authentication OAuth 2.0, API key management, IP allowlisting

Policy Authoring

Authoring Guide Writing policies in plain English Policy Library Extensible policy library Testing and Sandbox Run against historical data before production Versioning Git-native version control and rollback

Deployment

Deployment Playbook Timeline, milestones, team requirements Progressive Autonomy Audit to Assist to Automate Evaluation Framework Accuracy measurement, performance monitoring

Ready to evaluate? Start here.

Request a demo See the Architecture

FAQ

Frequently Asked Questions

What should I start with if I am evaluating MightyBot for the first time?

Start with the whitepaper if you want the architecture and design rationale, then review the case studies for proof that the platform is already operating in production. The documentation section is best for technical teams validating integration and deployment.

Are these case studies based on pilots or live production deployments?

Live production deployments. The metrics shown here come from real workflows, real documents, and real regulated environments rather than demo environments or synthetic benchmarks.

Is the whitepaper technical or business-focused?

Both. It covers system architecture, policy execution design, document intelligence, closed-loop improvement, and production outcomes so technical evaluators and business sponsors can use the same reference point.

Can our engineering team review documentation before implementation?

Yes. The resources hub is designed so buyers, operators, and engineers can move from evaluation into implementation with a shared understanding of APIs, policies, deployment, and governance.

What is the fastest path to a deeper technical conversation?

Use the Request a demo path from this page. That is the quickest way to walk through your workflow, see the platform architecture in context, and determine which materials are most relevant for your team.