Case studies
Four engagements
Four sample engagements, one per practice.
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Agentic AI and Workflow Automation
Four automations for a small business
The resultTrial conversions up 34%, 94% of payment reconciliation automated, around 10% of lapsed customers recovered.
Four automations in two weeks: lead triage, payment reconciliation, client reactivation and a registration flow, with no new subscriptions and usage-based fees only.
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Data Governance and Modeling
Three regulatory reports, partially produced and reconciled by machine instead of by hand
The resultRegulatory reporting ran 40% faster across a live reporting cycle for three different reports with different frequencies.
Reports were assembled from a governed model with lineage behind every figure. Five months to the shipped solution, three parallel reporting cycles before cutover.
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Data Architecture and Platforms
Efficiencies through data hub centralization
The resultFirst workload live at four months, eleven sources landed, 3 TB of data distributed to downstream services by month seven.
Governed analytical platform built from nothing for a regulated financial services firm. Tens of millions of rows a day, three environments, access controlled before first use.
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AI Risk and Controls
An insurance and reinsurance carrier that needed to safely and responsibly scale AI proofs of concept
The resultA clear view of which of 120+ controls were in place across three AI use cases, and which were still needed before any deployment at scale.
Recommendations were prioritized based on level of effort and impact.
