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ZERO DISRUPTION IT

AI integration consulting for small and mid-sized businesses. Fixed-price engagements with measurable results.

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The Zero Disruption Brief

Monthly: what's working in AI integration, what's not, and what's next.

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Evidence First

Client Results

I only publish performance claims when they are backed by documented baselines and client-approved evidence.

Publication Status

No anonymized case studies are currently published. This page outlines the measurement framework used to validate outcomes before any client story goes live.

Step 1

Baseline Capture

Before automation, I document cycle time, manual touchpoints, rework frequency, and ownership for the workflow.

Step 2

Pilot Instrumentation

During implementation, each automated step is tracked with approval checkpoints and an exceptions log.

Step 3

Outcome Readout

Results are reported with method notes, confidence level, and clear caveats so stakeholders can trust what is shared.

Measurement Framework

How Outcomes Are Evaluated

Outcome AreaHow It Is MeasuredReview Cadence
Cycle TimeStart-to-finish time per workflow itemBaseline + weekly pilot review
Manual EffortHuman touchpoints and time spent per itemBaseline + 30/60/90-day checkpoints
Quality / ReworkException rate, corrections, and escalation volumeWeekly during pilot
AdoptionUsage rate of the new workflow by the target teamWeekly after launch
Business FitOwner sign-off against agreed acceptance criteriaMilestone-based review

Want a transparent baseline for your team?

Start with a Discovery Sprint. You'll get a documented measurement plan before any ROI claims are made.