We solve real-world problems. We have built an AI-enabled platform infrastructure which means that we have already done significant heavy lifting for you. Your solution is a bespoke build, on top of our existing platform.

What does this mean?

Partnering alongside you, we identify potential use cases that could see benefits from AI-enabled solutions. Yes, we can focus on discrete functions of your organisation but the real value comes from identifying those use case opportunities that will significantly move the dial, impact and deliver the best outcomes for your valued stakeholders (employees, suppliers, customers) and return sustainable ROI, across your organisation.

Here are some practical use case examples of solutions built and their measured impact.

Financial Services

Focus Area
Operational efficiency & Talent Intelligence

Use Case
Assessment of contact centre and digital branch performance challenges & Future of Work

Implemented Solution

Design, development & implementation of:

  1. AI-enabled Learning Experience Platform (LXP) tailored to specific roles;
  2. Competency framework – used to identify core competencies that predict performance per role
  3. Predictive models for both traditional and digital roles
  4. Individualised learning journeys based on current vs. target capability gaps

This allowed for:

  1. Assessment of individual employees competencies
  2. Automation of assigned learning content aligned to role-specific predictors

Measured Impact

  • Improved proficiency gain in 95% of learning interventions
  • Reduction of 22% in cost per learning hour
  • 13% increase in performance ‘- Optimized staff placement based on role fit and predicted performance
  • Project cost of GBP 100k across 6 months
  • Estimated savings of GBP 5.7 million across 3 000 employees

Multi Media

Focus Area
Customer service efficiency & Organisational performance

Use Case
An AI-enabled solution targeting attrition reduction in the contact center

Implemented Solution

  • Analysis of attrition drivers and predictive modeling of retention risk
  • Deployment of interventions aligned to individual risk profiles and performance predictors

Measured Impact

  • Reduced monthly contact center attrition rate from 3.1% to 1.8%
  • Improved employee retention and stability in a high-turnover environment
  • Enhanced workforce planning and reduced recruitment/training costs

Telecommunications

Focus Area
Customer Service Efficiency & Talent Intelligence

Use Case
Customer service transformation across three distinct brands with different market strategies

Implemented Solution

  • Implementation of AI-enabled staff evaluation tools
  • Role-based deployment of staff aligned to competency profiles and brand-specific KPIs
  • The initiative included the offshore of certain contact center functions

Measured Impact

  • Increased NPS by up to 40% across all brands
  • Reduced cost to serve by 1/3
  • Reduced handling time and improved first call resolution
  • Improved customer satisfaction and enhanced brand positioning

Aviation

Focus Area
Organisational efficiency & Future of Work

Use Case
Formulation of airline strategy with a focus on Future World of Work and Digital Transformation

Implemented Solution

  • Development of a predictive performance model identifying key drivers of performance
  • Analysis of how digital transformation and workforce evolution impact strategic priorities

Measured Impact

  • Delivered a future-fit strategic roadmap aligned to digital and workforce trends
  • Enabled leadership to make data-driven decisions on talent, technology, and transformation
  • Provided a predictive model to guide how Digital Transformation and Future of Work impact the key factors that underpin performance

Whilst what we can solve for has limited boundaries, the real world problems we are generally addressing can broadly fit into these application layers.

Application Layer

01

AI Analyser

  • Processes structured and unstructured data to generate insights, detect patterns, and support decision-making. 
  • It provides real-time analysis, recommendations, and predictive modelling, enabling users to understand risks, opportunities, and performance drivers instantly.

02

AI Collator

  • Automatically assembles data, insights, narrative explanations, and visuals into high-quality reports and documentation. 
  • It ensures consistency, accuracy, and completeness, producing auditable outputs tailored to stakeholder requirements, regulatory standards, and organisational templates.

03

AI Workflow

  • Orchestrates business processes by integrating with internal systems, APIs, and data sources.
  • It intelligently triggers steps, validates inputs, and manages transitions across teams and applications, ensuring smooth end-to-end process flows.

04

AI Executor

  • Performs the actual execution of tasks and actions required within a workflow, such as actioning tasks, generating outputs, sending communications, or triggering downstream processes.
  • It automates operational steps reliably and at scale, ensuring consistent, repeatable outcomes.

05

AI Coordinator

  • Manages the flow of information between stakeholders through individualised user portals.
  • It centralises communication, synchronises updates, routes information to the right stakeholders, and ensures that everyone (internal or external) receives timely and accurate context to enable the next best action.

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