Empathy, an
Enterprise capability.

Empact transform performance by embedding stronger human-context into decisions, services, and operating models.

Impact

Empathy. Scaled for performance.

Identify where customer trust, cost, risk and value are created - or lost - to focus and accelerate performance transformation.

Products thrive in turbulent conditions.

Design and evolve products and experiences that are dynamic and adapt to changing customer needs and context, holding up as conditions, expectations and regulation shift.

Servicing reduces friction and delights.

Simplify journeys and resolution for customers and colleagues. Structure choices, nudges, and guidance to reduce effort, improve confidence, reassure and delight.

Channels align to intent x emotion.

Meet people where they are, through channels that reflect their intent, capability and emotional context - improving outcomes, reducing failure and extending value.

Dissatisfaction signals
= opportunity.

Use friction, dissatisfaction and complaints as early signals - converting breakdowns into insight, improvement, and renewed trust
and value.

What is empathy?

"Empathy is the ability to understand the feelings, emotions and situation of another."   (Oxford Dictionary)

"Enterprise empathy: In an enterprise setting, empathy allows an organisation to consistently understand, anticipate and respond to human context."  (Empact)

Framework

The Empact Performance Model™

Our performance model identifies where to embed stronger
human understanding into decisions, services and operating models.

Strategy rooted
in human
understanding.

Unlock latent value and reduce
execution risk.

Strategic decisions are shaped by real customer behaviour, needs and context. This can unlock material value headroom (reasonably x1.3-2 LTV), reducing leakage and improving focus, and lowering execution risk of investment.

Platforms built to listen, anticipate
and learn.

Reduce cost-to-serve and accelerate
product performance.
‍
Technology and processes detect signals early and adapt in real time. This is where AI thrives, supporting typically 15-40% cost reduction, 2-3x faster product maintenance, and materially lower cost of ownership.

Services and
operations that deliver and build trust.

Improve retention, advocacy and
regulatory confidence.

Execution translates intent and emotional context into good and traceable outcomes, consitently, across services and operations. Trust drives retention and advocacy, with indicators improving 20-50%, alongside stronger auditable confidence.

Empact
Performance
Model™ outcomes.

The Empact Performance Model™ is a governing enterprise performance model. While platforms, data and automation evolve, the capabilities required to sense human context, govern decisions and deliver outcomes remain constant. As AI advances, these capabilities become more effective and risk sensitive.

Our model translates signals, proven practices and contextual ambition into clear direction - so organisations can act earlier, and with confidence.

Enhanced validation of strategic and platform investment

Gain a rapid, evidence-based view of performance across products, customer journeys and operations. Leaders can see where complexity, misalignment or promise failure erodes trust, cost or outcomes – before it appears in lagging metrics.

Reduced enterprise cost-to-serve

Assess whether services and AI systems are fit for purpose, appropriately automated, empowered and aligned to real need. Prioritise the identification of repeat contact, complaint root causes, manual exception handling and remediation.

Increased colleague confidence and adoption of AI

Define a capability maturity assessment and enablement strategy or interventions for frontline teams and leaders, to strengthen AI empowerment. Building confidence, adoption and trust; delivering a powerful AI-enabled workforce.

Better choices and decisions under complexity

Clarify who decisions affect, how they land and where confidence breaks down – whether choices are made by customers, colleagues, platforms or different forms of AI, supporting traceability and explainability.

Stronger digital and AI-enabled experiences, that people trust

Assess, reinvent and assure digital experiences and journey architecture so journeys are not just efficient but understood, fair and appropriate. Trust should be designed – covering transparency, consistency and colleague expert involvement,
when it matters most.

Early detection of friction, emerging needs and vulnerability

Identify and strengthen the ability to surface signals of behaviour, sentiment and context as they emerge - enabling earlier customer intervention, reducing harm, failure demand and cost.

Enhanced validation of strategic and platform investment

Link investment decisions directly to customer outcomes, trust sensitivity, risk and value creation. Enable executives to assess both organic and inorganic investments through maturity and impact.

Aerial night view of a large multi-level illuminated highway interchange with circular ramps and moving traffic lights.

Market signals.

Leaders are already embedding stronger human-context into decisions, services and operating models - increasingly using AI to improve experience and performance.

Emotional intelligence within supply chains.

Zara combines real-time demand data, returns behaviour, and local context and sentiment analysis to adapt stock and store experience rapidly.

AI reduces customer frustration caused by mismatch between availability, sizing, and expectation.

Why it matters: Empathy can be further embedded into supply decision, not just customer service.

Empathetic outreach.

Ping An in China integrates health records, behavioural signals and life events across insurance, healthcare and banking.

AI flags change in health risk or stress and adapts outreach, care navigation and cover guidance.

Why it matters: Empathy is embedded cross an ecosystem and end-to-end journey, not a product.

Motivation and emotive aware digital journeys.

Nike's apps adapt coaching, messaging and challenges based on engagement drop-off, injury signals and fatigue patterns.

The system adjusts tone and cadence rather than pushing harder.

Why it matters: Emotional readiness can be treated as first-class input into experience.

Wealth x health convergence.

Ecosystems across financial services, wellness and healthcare providers are becoming more closely integrated.

Partnerships between firms such as Lloyds Banking Group and private healthcare integrate health, wellbeing and financial services into a single ecosystem. Customers receive joined up support across life, health and financial needs.

Why it matters: There are further material opportunities to expand ecosystems and enrich customer value across sectors.

Asynchronous empathy.

NatWest have partnered with OpenAI to boost its AI assistant 'Core' and internal support tools. By using generative AI to improve digital conversations and fraud monitoring.

NatWest also holds equity in 'Serene' that helps detect early signs of financial stress from customer behaviour and pattern changes.

Why it matters: AI is enhancing clarity, reducing friction and improving trust across millions of everyday interactions.

Proactive empathy in
AI-supported conversations.

UK wealth managers, including St James's Place, are using AI to analyse customer calls and surface linguistic indicators of for advisers to act on.

By flagging emotional cases and context changes in real time, advisors can tailor responses rather than following a one-size fits all service route, addressing situational context and allowing them to engage more effectively.

Why it matters: Augmented support of colleague specialists are becoming more emotionally aware and intelligent.

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