CASE STUDY
From scattered pilots to a scalable AI system — how one agency built momentum through structure, not speed.
CHALLENGE
The client was running multiple uncoordinated AI and automation pilots across HR, marketing, and operations. Independent experiments led to duplicated work, unclear ROI, and compliance risks.
The leadership needed a unified roadmap to prioritize initiatives, define standards, and scale what worked.
SOLUTION
Structured an AI Enablement Roadmap combining rapid prototyping with governance:
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Conducted operational diagnostics to identify high-friction workflows and mapped 100 + use cases by cost impact and data readiness. Developed a scoring model linking value potential, feasibility, and governance maturity.
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Built n8n automation prototypes to test data flows and orchestration logic before formal PRD creation.
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Created a workflow governance layer with human-in-loop controls for compliance and quality assurance.
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Delivered standardized PRD templates and scoring models linking business value, technical feasibility, and governance maturity.
Designed GPT-powered HR assistant MVPs integrated with Outlook and Salesforce for employee policy queries.
END RESULT
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Introduced a repeatable workflow framework now used across multiple departments.
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Enabled leadership to shift from scattered pilots to a coherent, measurable AI adoption roadmap backed by governance and rapid-build capability.
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Delivered three validated AI prototypes within four weeks.
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Reduced HR query turnaround time by ≈ 60 %.
