Real Businesses. Measurable Results.
Every Maqro AI engagement is built around a specific problem and measured against specific outcomes. Here’s what that looks like in practice.
Representative examples. Client names and some specifics have been generalized for privacy.
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Case Studies
From P-Card audits to document compliance to live-data order-status — see how custom AI delivers measurable outcomes for ops-heavy teams.
Enterprise Operations
Fortune 100 ops org
$1.2M in projected annual savings — by replacing manual P-Card sample audit with AI that reads every transaction.
Procurement card transactions at enterprise scale produce millions of line items per year. The audit team could sample roughly one percent. The other ninety-nine percent moved through unreviewed.
$1.2M
Projected annual recoveries
100%
Transaction coverage (vs ~1% manual sample)
Document Operations & Compliance
Enterprise compliance program
AI audit at 100% coverage, not a 1% sample. Two million documents reviewed in days, not quarters.
A multi-year document archive needed a full compliance audit against client policy. Manual sampling at one percent per quarter would have taken years and missed the long tail of policy gaps the sample didn't touch.
2M+
Documents audited end-to-end
9 days
Full corpus pass (vs quarters of manual sampling)
Operations & Customer Service
Multi-team operations org
"Where is my order" answered against live data — eighty percent self-served, three days saved per ops lead per week.
Ops leads were spending most of their week answering the same order-status question across email, chat, and voice — repeatedly, for the same set of customers and internal stakeholders.
80%
Status questions self-served end-to-end
12 hrs/wk
Recovered per ops lead
What We See
The Pattern Across Every Engagement
Outcomes are measurable before we start
Every engagement begins with a clear problem statement and defined success metrics. We don't build AI and hope it helps — we identify the specific outcome we're targeting and measure against it.
The same team. Better results.
None of our clients added headcount to achieve their results. The AI handled the volume increase, the error reduction, or the processing speed. The existing team focused on higher-value work.
Results compound over time
The first 90 days show the initial impact. The next 90 days show it improving as the AI learns from real interactions and we optimize based on performance data. The ROI gets stronger, not weaker.
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