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Halden & Company / Insights / Case Studies

Case Studies

Evidence before claims.

The work matters. So does being exact about what happened, why it mattered, and what can genuinely be learned from it.

Our publishing standard

Real work deserves a truthful account.

Named case studies need client permission, a clear starting context, a description of the work, and verifiable outcomes. We will not use invented clients, anonymous metrics, or vague transformation claims.

Illustrative scenario · SME

Building an AI adoption foundation.

A growing services business moves from scattered experimentation toward a focused first phase: clear boundaries, two manageable workflows, role-relevant learning, and a review point before scaling.

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Illustrative scenario · Enterprise

Aligning readiness before scale.

An enterprise creates a common operating view across leadership, operations, technology, and people teams before it extends AI pilots into more consequential work.

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Have a story to share?

Build the evidence with us.

Where a client is open to it, we can shape a case study that explains the practical work with the right level of care and approval.

Explore partnerships

Sector scenarios

How a careful first move can take shape in different industries.

Illustrative scenario · Banking

Building a governed AI opportunity portfolio before wider deployment.

Explores a practical adoption pattern. Not a named client story or verified performance claim.

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Illustrative scenario · Accounting

Reducing repetitive preparation work without compromising professional judgment.

Explores a practical adoption pattern. Not a named client story or verified performance claim.

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Illustrative scenario · PRO services

Making service knowledge easier to find while keeping accountability visible.

Explores a practical adoption pattern. Not a named client story or verified performance claim.

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Illustrative scenario · Manufacturing

Improving access to operational knowledge across teams and shifts.

Explores a practical adoption pattern. Not a named client story or verified performance claim.

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Illustrative scenario · Construction

Supporting document-heavy project work with controlled AI assistance.

Explores a practical adoption pattern. Not a named client story or verified performance claim.

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Illustrative scenario · Food and beverage

Giving operations teams more time for service, planning, and quality.

Explores a practical adoption pattern. Not a named client story or verified performance claim.

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Illustrative scenario · Sales and marketing

Turning AI experimentation into useful, reviewable commercial workflows.

Explores a practical adoption pattern. Not a named client story or verified performance claim.

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12 confidential engagements

Explore the work patterns behind the NDA.

Anonymized engagement summaries across banking, healthcare, accounting, operations, construction, and other sectors.

View engagement patterns

Free assessments

Where does your organization stand with AI?

Five short assessments, an instant profile and three practical next steps.

01Readiness 02Strategy 03Workforce 04Implementation 05Advisory

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