Financial analyst
Investigate more scenarios
An analyst can use AI to structure information, explore explanations and prepare alternative scenarios, freeing time for deeper judgement.
CFTE / Supercharged Professionals
SuperchargedProfessionals.
AI can give professionals greater capacity to analyse, build and decide. What distinguishes high performers is how they combine domain expertise, AI capability and future-proofing capabilities to solve important problems, strengthen decisions and improve the work of others.
CFTE / Workforce Transformation at ScaleResearch and perspectives on professional performance in the AI age
01 / The performance difference
Why the same AI tools produce different results.
Consider two professionals in the same team, both using AI. One completes defined tasks more efficiently. The other identifies the underlying problem, tests alternative solutions and improves how the wider team works. The difference is the quality of their thinking and the reach of their contribution.
Professional A
Faster execution
Summarises documents, drafts messages and completes defined tasks efficiently.
Professional B
Greater impact
Frames an ambiguous challenge, challenges AI output, designs a solution and improves a repeated workflow.
When execution becomes easier, the quality of thinking and the value of contribution matter even more.
02 / What AI makes possible
AI expands what an individual can achieve.
Across financial analysis, software development and strategic planning, AI allows professionals to investigate more options, test ideas and prepare work more efficiently. The opportunity is to use that additional capacity for better decisions and higher-value contribution.
Software developer
Move from idea to prototype
A developer can create and test working prototypes quickly, then concentrate effort on architecture, safety and quality.
Strategy professional
Challenge a recommendation
A strategy manager can research options, examine counterarguments and prepare a stronger decision for leadership.
03 / Three essential elements
What makes a Supercharged Professional?
Higher professional performance comes from three connected elements: domain expertise to understand context, AI capability to extend what is possible, and future-proofing capabilities to tackle unfamiliar problems. Each strengthens the others when applied to real work.
Domain expertise
Understand the problem, business context, customers, constraints and consequences of decisions.
AI capability
Use AI effectively, understand limitations, select suitable methods and verify outputs.
Future-proofing capabilities
Exercise judgement, solve unfamiliar problems, think in systems, adapt and create new value.
The combination matters. AI amplifies capability, while expertise and judgement determine how that power creates value.
04 / The Performance Hexagon
The Performance Hexagon: from execution to value creation.
The three capabilities describe what professionals need. The Performance Hexagon shows how they put those capabilities to work, from reliable execution and independent problem-solving to improving systems and identifying valuable opportunities. Its five levels describe patterns of contribution within a role, which can develop with experience and support.
AI proficiency: Use AI effectively to make existing work more efficient, reliable and insightful.
Higher-value contribution: Develop independent problem-solving, systems thinking and the initiative to create new opportunities.
Five levels of contribution at a glance
These describe observable contributions in a role. People can develop across them as their experience, responsibilities and support change.
Underperformer
Needs frequent direction to complete agreed tasks reliably.
Task Robot
Executes defined tasks reliably and pays attention to quality.
Problem Solver
Understands problems and finds workable solutions independently.
System Thinker
Improves workflows and systems to make the wider team more effective.
Superstar
Identifies important problems and opportunities and helps create new value.
05 / A practical banking example
From producing analysis to improving the system.
Consider how a credit analyst’s contribution can develop. AI can help prepare an assessment, support deeper analysis and ultimately enable the analyst to improve how an entire team works. Each step calls for stronger judgement and greater responsibility.
Task execution
Produce a first draft
The analyst uses AI to prepare an initial assessment, checks it against source documents and identifies information that still needs verification.
Problem solving
Improve a credit decision
The analyst investigates unusual cash-flow movements, tests alternative explanations and recommends a course of action with the key assumptions made explicit.
Systems thinking
Improve many decisions
The analyst develops a repeatable team workflow with data checks, exception handling and human review so colleagues can produce more consistent assessments.
The progression
The contribution develops from a well-executed individual task to an independently reasoned recommendation and, ultimately, a more effective process for the whole team.
06 / Developing capability
Build stronger professionals through real work.
Develop AI proficiency and higher-order capabilities together through repeated practice on relevant workplace challenges, feedback on decisions and improvements applied to recurring tasks and workflows.
Experience
Work directly with AI
Develop practical fluency, output verification and appropriate professional judgement.
Application
Tackle real problems
Use domain knowledge and AI to solve meaningful challenges rather than only complete generic exercises.
Progression
Move towards systems thinking
Improve recurring work, collaborate effectively and develop the ability to create new value.
07 / Leadership implications
How HR and business leaders can act.
Developing stronger professionals requires decisions about roles, capabilities, career progression and the ways teams work.
CHRO / Head of HR
Identify the contribution required in critical roles, assess where people mainly execute tasks versus solve problems independently, and design development pathways towards stronger judgement and systems thinking. Protect opportunities for early-career employees to build real domain expertise.
COO / Business leader
Select a recurring workflow and distinguish what AI can accelerate from what requires human judgement. Give people opportunities to redesign the process, then track improvements in decision quality, productivity and reliability.
08 / Research and resources
Explore the thinking behind Supercharged Professionals.
Explore the frameworks and learning programmes that help professionals move from AI tool use to higher-value contribution.
Professional value, the Performance Hexagon and future-proofing capabilities.
Read the whitepaper ↗Practical application, higher-order thinking and value creation.
Explore the programme ↗Defines transferable AI proficiency as one part of professional capability.
Explore the framework ↗09 / Explore further
Explore the wider implications of AI.
The changing nature of work, the measurement of capability and the performance of organisations are closely connected. Explore the broader picture.
Connect with CFTE
What would a Supercharged workforce achieve?
Tell us which employee populations, capabilities or performance priorities matter most. We can explore focused interventions, capability measurement or a broader workforce development programme.