WHY MIGHTYBOT

Production AI Agent Results and ROI

The productivity gains, measured in production: 95% faster execution, 99%+ accuracy, 10x more token-efficient execution.

What are AI agent ROI metrics?

AI agent ROI is measured by cycle time, throughput, accuracy, rework rate, exception rate, compliance coverage, token efficiency, and cost per completed workflow. In production deployments MightyBot delivers 95% faster execution (Built Technologies draw agent), 99%+ extraction accuracy in a production lending deployment, and 10x more token-efficient execution (July 2026 cost study).

Production Metrics

95% Faster execution, Built Technologies draw agent deployment

99%+ Extraction accuracy, production lending deployment

10x More token-efficient execution, July 2026 cost study

60% Fewer manual steps, Built Technologies draw agent deployment

What AI agent ROI metrics measure

Metric	What it measures	How it is computed
Cycle time	Elapsed time per completed workflow	Timestamped start to finish
Throughput	Completed workflows per person per period	Count over interval
Accuracy	Agreement with verified ground truth	Sampled double-review
Rework rate	Share of outputs requiring correction	Corrections over completions
Exception rate	Share routed to humans	Exceptions over total
Compliance coverage	Share of decisions with complete audit trails	Traced over total
Token efficiency	Model spend per completed workflow	Tokens over completions
Cost per completed workflow	All-in cost over completions	All-in cost over completions

Speed

Accuracy

Throughput

Customer Proof

Real clients. Real results.

Built Technologies is the leading construction finance technology platform. Many financial institutions. $100B+ in construction lending activity.

95% faster execution
60% fewer manual steps
10x more token-efficient execution
Risk issues confirmed by human reviewers
Seamless integration with no re-architecture

"MightyBot's platform seamlessly integrated into our tech stack without any re-architecture... reducing time on task by nearly 95% and reducing manual steps by 60%."

Thomas Schlegel, VP of Engineering at Built

Automated extraction across hundreds of statement formats
Dramatic reduction in time from receipt to proposal
Higher accuracy on fee breakdowns and savings calculations

Every system becomes an input and an output.

ROI Framework

Calculate your Return

Step 1

Current cost per transaction

Hours x fully loaded hourly cost + error remediation + LLM token costs.

Step 2

MightyBot-assisted cost

Apply 95% faster execution and 60% fewer manual steps in the Built Technologies draw agent deployment, plus 10x more token-efficient execution in the July 2026 cost study.

Step 3

Annual savings

(Current - Assisted) x annual volume.

Finally

Token efficiency value

10x more token-efficient execution in the July 2026 cost study means lower model costs at scale.

For most regulated workflows, time savings alone justify the investment. Calculate your TCO.

Methodology

How we measure.

Last updated: August 6, 2026

Accuracy

Every extraction and policy evaluation is compared against validated ground truth. 99%+ extraction accuracy in a production lending deployment, with 15+ banks and lenders running MightyBot across real estate and lending workflows.

Speed

Processing time from initiation to completion. 95% faster execution in the Built Technologies draw agent deployment. Time-on-task measures active human work.

Token Efficiency

Compiled execution is 10x more token-efficient in the July 2026 agent evaluation cost study. Lower costs at scale.

Risk Detection

Issues flagged by MightyBot are confirmed by human reviewers. Report only risks verified in subsequent review.

Put the metrics in context

Compare the platform, use cases, and economics behind production AI agent results.

PlatformAI Agent PlatformThe full Decision Execution Stack for regulated workflows.Use casesAI Agent Use CasesExplore regulated workflows that map to MightyBot agents and platform layers.CompareAI Agent Platform ComparisonsSee how MightyBot compares with Palantir AIP, OpenAI, Google, UiPath, Workato, and more.EconomicsAI Agent ROI & TCO CalculatorModel engineering headcount, token spend, timeline delay, maintenance, and 3-year TCO.

This is the new standard for regulated automation. We set it.

Request a demo Calculate your TCO

FAQ

Frequently Asked Questions

What accuracy do AI agents achieve in production?

Accuracy depends on the workflow and its verified ground truth. In production, MightyBot reports 99%+ extraction accuracy in a production lending deployment, 95% faster execution and 60% fewer manual steps in the Built Technologies draw agent deployment, and 10x more token-efficient execution in the July 2026 agent evaluation cost study.

How does MightyBot achieve higher accuracy than manual review?

It evaluates every data point against every applicable policy on every transaction. No fatigue. No triage shortcuts. Manual reviewers are effective, but under time pressure they are inherently incomplete.

What are AI agent ROI metrics?

AI agent ROI metrics include cycle time, throughput, accuracy, rework rate, exception rate, compliance coverage, token efficiency, and cost per completed workflow. Model your own workload with the AI agent ROI calculator at /tools/ai-agent-roi-calculator/.

How quickly do results appear?

Speed and throughput improvements show up when transitioning from Audit to Assist, typically within 30 days. The metrics on this page reflect steady-state production performance.

Do results scale with volume?

Yes. Per-transaction metrics remain consistent as volume increases. Volume scales with compute, not headcount.

Can I verify these metrics independently?

Yes. MightyBot's audit infrastructure provides complete traceability, and reference calls with Built Technologies and RocketFee are available on request.