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ROI

How agent ROI works — using an example workspace

When AI agents change software, the payoff only counts if the work is verified. The figures below come from a representative workflow, not a customer quote — the methodology beneath the table is what makes them honest.

Illustrative · Example workspace, last 31 days

In the product, results report your real numbers from what your agents actually attempted and what the checks proved. These figures show the shape of the math.

793

Hours reclaimed

$82,894

Money saved

5,061

Actions completed

≈ 5.0

Full-time months reclaimed

AreaActions completedHours savedMoney saved
1,268167$15,903
Record task intent and starting commit42042$3,990
Capture model, tools, and changed files42035$3,325
Compare agent claim to actual diff38076$7,220
Mark unverifiable or incomplete attempts4814$1,368
836142$12,804
1,172161$17,655
824169$19,431
63094$9,909
33160$7,192
Total · all verification areas5,061793$82,894

How this is figured. Hours saved = actions completed × the time the same work takes a person by hand. Money saved = those hours × a blended hourly cost for the role that would otherwise do it. Parent rows roll up from their operations. The numbers above describe an example workspace over 31 days — shape, not a quote — and Excellent reports your real ones from verified results.

Turn agent work into verified ROI

Install Excellent and measure agent work by evidence, checks, and results instead of claims.

Curious how the agents do it? Read about the agent system.