Unlocking Business Banking Profitability.
Solutions that support data-driven decisions across pricing and capital — helping banks reduce time to market and improve return on equity.
The Challenges We Solve.
Business banking leaders must make faster, data-led decisions across pricing, product, and capital — yet many still rely on fragmented data and manual models that slow progress and lead to missed opportunities.
Inefficient Capital Allocation
Without clear capital and risk insights at the point of decision, banks may continue to invest in low-return segments — eroding RoE and tying up scarce balance sheet capacity.
A lack of forward-looking scenario modelling makes it difficult to align capital to where it creates the most value.
Fragmented Profitability View
Siloed data makes it difficult to understand product and segment performance — limiting the ability to identify value pools or take targeted pricing action.
Many banks also lack the Fair Value analytics needed to assess client-level profitability to meet regulatory expectations.
Lack of High-Performance Modelling
Without advanced modelling or machine learning, banks often overlook the complex relationships between pricing, risk, and capital efficiency.
This limits the ability to optimise outcomes across segments and respond dynamically to client behaviours and market changes.
Manual, Non-Scalable Processes
Excel-based pricing and capital models are hard to maintain and can't support the speed, transparency, or scenario complexity needed today.
This creates operational risk, slows decision-making, and keeps operational costs higher than they need to be.
Our Approach
A Modern Profitability and Pricing Platform for Business Banking
Purpose-built for banks, our platform includes a pre-configured data model that reflects the key drivers of profitability — across instruments, clients, segments, and channels. It enables risk-adjusted performance analysis and faster, more confident decisions on pricing, product design, and capital use.

Improve Return on Equity
Enhance RoE with risk-adjusted profitability insights at the client, product, and segment levels. This will help teams allocate resources more effectively and prioritise high-value opportunities.

Strengthen Capital Allocation
Redirect capital to where it creates the most value. Scenario modelling enables more informed decisions on which segments, products, or clients are delivering acceptable returns on a risk-adjusted basis.

Enhanced Pricing Decisions
Test pricing, terms, and risk parameters using forward-looking scenario models that integrate capital and risk drivers — improving pricing strategies and margin outcomes.
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Deliver Client-Level Insights
Gain a unified view of profitability by client, product, and segment. Identify where value is created or eroded and take targeted action to improve returns.

Accelerate Product Release Cycles
Shorten pricing and product change cycles from months to weeks with structured workflows, improved data access, and clear visibility across the product decision lifecycle.
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Reduce Manual Effort
Eliminate reliance on spreadsheets and disconnected tools. Free up time for analysis and execution by replacing manual processes with scalable, auditable, and systemised workflows.
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Solution Overview
Our solution provides a structured, integrated environment to support data-led decision-making across pricing, product, and capital.
It enables business banking teams to understand profitability at a granular level, explore the impact of pricing and risk changes through scenario modelling, and manage product and pricing changes with greater speed and control.
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Risk-Adjusted Profitability and Insight
Understand profitability at the instrument, client, and segment level — with embedded cost-to-serve, capital charges, and risk adjustments.
Performance can be analysed across multiple dimensions, including product, channel, industry, and relationship manager, supporting sharper RoE, RORAC, and RAROC decisions. Allocation logic is fully transparent and auditable.
Self-Serve Scenario Modelling and Forecasting
Run real-time scenarios across pricing, risk metrics, and capital drivers.
Teams can explore the impact of proposed changes on P&L, RoE, and RWA — with automated restatement of outlooks and improved forward visibility for strategic and tactical planning.
Continuous Prioritisation and Decision Support
Automated models prioritise product and pricing initiatives based on commercial value, risk impact, and segment performance — combining data-led scoring with SME and front-line insight.
Manual interventions are tracked and evidenced, improving alignment, governance, and consistency.
AI-Augmented Insight and Commentary
GenAI and machine learning accelerate insight generation — producing first-draft benefit packs, variance narratives, and pricing commentary.
This reduces manual effort and enables experts to focus on refinement, review, and value delivery.
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Client Impact
We partner with leading banks to solve complex challenges and deliver measurable results. Our work spans strategic modelling, regulatory transformation, and finance systems innovation — always grounded in tangible business outcomes.

Join Us in the Innovation Lab
We invite you to join a focused Innovation Lab — a collaborative session designed to help your team define or refine the core problem statement, align on a clear North Star vision, and explore the solution in action.
Let's have the right conversation.