Case Studies

Delivery examples from digital transformation, AI and workflow improvement.

Clear examples of the operating problem, the implementation choices and the evidence used to decide what should scale next.
Published work

Individual case studies

Approved and anonymised examples, presented consistently so the challenge, approach and evidence are easy to compare.

Afreia AI voice receptionist return on investment overview cover.
Integrated voice AI
Healthcare & service operations Product design + ROI model

Medical Centre AI Receptionist

How ExIQ designed an Afreia voice receptionist around the existing practice stack, human fallback and patient-safety controls, then tested the opportunity with an anonymised commercial model.

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Related experience

Delivery patterns

Common operating patterns we can discuss without turning confidential client work into marketing theatre.

How to read the evidence

What makes an example useful

Baseline

Name the operating pressure first.

Cycle time, backlog, missed demand, re-entry, approval delay or another measure establishes what must improve.

Controls

Show what stays governed or human.

Owners, source systems, review points, exceptions and fallback paths make the implementation credible.

Outcome

End with the decision the evidence supports.

Scale, narrow, redesign or stop—the useful result is a better-funded next decision, not a theatre metric.

Your operating context

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We can match the relevant delivery pattern to your workflow, systems, risk profile and first proof point without exposing another client's confidential details.

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