Case-study library

Opportunity

Retrospective quality checks could identify a poor interaction after the opportunity to help the customer had passed. The opportunity was to bring relevant signals closer to the conversation itself.

What We Changed

Introduced voice-based interaction intelligence to detect potential profanity, non-compliance and rudeness, and flag conversations close to real time. This created a route for another colleague to review the situation and take over where needed.

What This Demonstrated

AI becomes strategically useful when intelligence is connected to authority and action. The operating-model change is the response loop around the customer, as much as the analysis itself.

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Opportunity

Manual documentation review, technical validations and case analysis consumed specialist effort. Inconsistent triage created delays and escalation risk.

What We Changed

Redesigned review around an AI-powered quality and case-analysis application. Custom prompts and technical-support intents supported validation, sentiment analysis and prioritisation. A pilot and leadership demonstrations supported expansion across lines of business.

What This Demonstrated

AI can expand the reach of quality intelligence while concentrating human expertise on interpretation, exceptions and the cases that need judgement.

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Opportunity

Office-based controls could not provide the same visibility into a home workspace. Mobile-phone use and unauthorised observers created potential exposure of customer and proprietary information.

What We Changed

Used the workstation camera environment to identify potential mobile-phone use, another person near the employee and possible shoulder-surfing during protected work. The approach brought attention to environmental risk around the interaction.

What This Demonstrated

Distributed work requires controls designed around the interaction and its environment. Technology supports review and response; it does not remove the need for accountable judgement.

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Opportunity

Separate teams optimised their own targets. Hiring, training and quality could blame upstream handoffs while the business absorbed the consequences in cost, capability and customer experience.

What We Changed

Established end-to-end accountability with the Shared Services leader. Defined minimum hiring skills and the capabilities training would develop, clarified handoff requirements and connected quality coaching. Operational Excellence strengthened reporting, raised red flags and diagnosed causes horizontally across functions.

What This Demonstrated

Integrated Shared Services changes the operating philosophy: shared outcomes, one chain of accountability and intervention across boundaries. A different reporting structure is useful only when ways of working change with it.

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Opportunity

Complex roles required scarce skills and long learning curves. Treating retention, hiring and training separately obscured the opportunity to build a continuing internal capability pipeline.

What We Changed

Mapped lines of business and minimum skill requirements, assessed existing competencies and made progression routes visible. Combined existing and additional learning materials with eligibility criteria and communication so employees could prepare for more complex roles.

What This Demonstrated

A retention challenge, a learning challenge and a capacity challenge can be one enterprise capability problem. A transparent growth model connects employee ambition with future business demand.

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Opportunity

Manual attendance handling created supervisor workload, disputes and weaker visibility of working time. Recurring costs made external alternatives unattractive.

What We Changed

Worked with the internal development team to compare system activity records with schedules in a central repository. Piloted the approach, resolved reporting gaps and gradually rolled it out over approximately six months.

What This Demonstrated

Start with the information and capabilities already available. Redesigning the flow of work can release capacity without requiring a new external platform.

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Opportunity

I learned that waiting for supervisor guidance during nesting was a longstanding issue affecting both employee experience and service delivery. Operational metrics supported the concern: agents needed answers on next steps but had to wait until a supervisor was available to hear the query and explain what to do.

What We Changed

I led the initiative from conception through delivery. We analysed why agents were contacting supervisors and identified recurring queries. Those patterns helped us address gaps in the training curriculum and delivery method. We also introduced a bot that provided immediate next-step guidance for the queries it covered.

What This Demonstrated

Use frontline questions twice: to help people in the moment and to improve how they are prepared for the role.

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Opportunity

Across a customer-service operation of 30,000–40,000 employees in India and the Philippines, workforce productivity was still managed largely through spreadsheets. Errors, limited visibility and leakage were the visible symptoms. Beneath them sat a structural problem: as the business grew, support effort, reporting and supervision grew almost linearly. Costs spread across the organisation affected productivity, revenue and client confidence. The question was how to grow without adding the same level of cost and complexity each time.

What We Changed

The investment was significant, and not everyone was convinced. We persuaded two leading WFM providers to run a six-month pilot at no cost. Better forecasting, scheduling, real-time adherence and visibility demonstrated the opportunity and gave leadership confidence to invest. Phased deployment brought extensive training, clearer ownership and changed management routines. Thousands of people had to work differently; managers needed to trust the data and act on it. Workforce management moved from manual to automated, reactive to real-time, and fragmented reporting to enterprise visibility.

What This Demonstrated

Some of the biggest opportunities sit beneath apparently acceptable performance and quietly become barriers to growth. Vision identified the opportunity. Evidence created belief. People made the change possible. Persistence turned an internal improvement into a strategic business capability.

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Opportunity

A poor customer outcome can emerge from disconnected processes, unsuitable capability or repeated handoffs. Local improvements do not necessarily fix the full journey.

What We Changed

Connect journey diagnosis with learning, quality intelligence, process improvement and frontline governance. Examine where the customer’s problem remains unresolved and trace the cause across functions.

What This Demonstrated

Customer retention and growth depend on whether the enterprise resolves the customer’s problem. Horizontal diagnosis helps leaders find causes beyond the team where the symptom appears.

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