Insights

Field notes from operations we've assessed.

Thought leadership from trusted advisors who did the work. Real findings from EDI assessments, ERP implementations, and AI agent deployments — what we saw, what it cost, and what fixed it.

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Procurement

What reactive purchasing actually costs per quarter.

We ran the numbers across six distribution clients. Expedited freight, missed volume discounts, and unmanaged price creep — the total was larger than any of them expected. Here's the breakdown.

April 2026 [Consultant Name]
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From the assessment floor.

Procurement

What reactive purchasing actually costs per quarter.

We ran the numbers across six distribution clients. Expedited freight, missed volume discounts, and unmanaged price creep — the total was larger than any of them expected.

April 2026 [Consultant Name]
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EDI Intelligence

Three EDI misconfigurations we find in nearly every JDE environment.

After reviewing over a dozen JDE EDI configurations, the same three gaps appear with enough regularity that we've built a specific diagnostic step around each of them.

March 2026 [Consultant Name]
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AP Automation

Why 85% of AP exceptions never need a human.

The math is straightforward. Most AP exceptions follow detectable patterns — duplicate vendor IDs, billing amounts outside contract bounds, timing anomalies. Humans shouldn't be the first line of review.

February 2026 [Consultant Name]
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ERP & VARs

How scope creep starts — and where VARs lose the most margin.

It rarely starts with a big change order. It starts with one undocumented assumption in week one. Here's the pattern we see across Acumatica implementations and how to stop it before it starts.

January 2026 [Consultant Name]
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Job Cost Variance

The 3-week window: when job cost overruns can still be corrected.

In construction and manufacturing, cost overruns become unfixable at a specific point in the project timeline. We mapped that window — and built an agent to surface the signal before it closes.

December 2025 [Consultant Name]
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Strategy

Why defining the problem first isn't a philosophy — it's a prerequisite.

We've reviewed AI initiatives that failed. The technology wasn't the issue. The problem statement was never written. Here's what that looks like in practice — and what to do instead.

November 2025 [Consultant Name]
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