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Proof

Proof assets buyers can inspect before they buy.

Mitori now leads with sample outputs, measurable case studies, and transparent ROI framing. External benchmark research still matters, but it supports the offer instead of carrying it.

Sample Mitori audit report
Sample audit output

Show the artifact, then make the claim.

Buyers can review the format of the audit pack before committing: workflow evidence, opportunity scoring, ROI assumptions, and next-step sequencing.

Workflow map by role and handoff

Opportunity matrix across automate, augment, and redesign paths

ROI methodology with assumptions and confidence framing

ROI methodology

Measured value needs visible assumptions.

Baseline cost

Current labor time, handoff delays, and exception rates are captured before any automation plan is recommended.

Confidence bands

Every forecast shows what is known, what is inferred, and how sensitive payback is to adoption and data quality.

Realized review

After deployment, forecast and actual results are compared so the next wave improves instead of drifting.

External research

GitHub + MIT controlled experiment

The 55% Faster Developer

55% faster task completion

A statistically significant randomised controlled trial (p=.0017) found developers using AI assistance completed the same engineering tasks in 1 hour 11 minutes vs 2 hours 41 minutes without it. Confirmed at enterprise scale in Accenture’s 450+ developer rollout.

Microsoft Copilot — 6,000 worker study

3 Hours Back Every Week

3 hrs/week saved on email alone

In a six-month experiment across 50+ companies, knowledge workers using Copilot saved nearly 3 hours per week managing email — a 25% workload reduction — and completed collaborative tasks 20% faster.

BCG + Harvard Business School field experiment

Navigating the Jagged Frontier

25% faster. 40% higher quality.

In a controlled BCG consulting study using GPT-4, participants completed complex knowledge work tasks 25% faster and produced outputs rated 40% higher in quality by independent evaluators.

McKinsey Global Institute

The $4.4 Trillion Opportunity

Up to 25% cost reduction at scale

McKinsey estimates generative AI could deliver $2.6–4.4 trillion in annual enterprise value. Companies that integrate AI end-to-end — rather than in isolated experiments — achieve up to 25% net cost reduction. Companies running isolated pilots see 5% or less.

Want to review the audit and implementation path for your team?

Start with the audit structure or book a scoping conversation and we'll walk through how Mitori frames value, risk, and rollout.

Explore the audit