Stop Chasing Numbers.
Start Investing with Confidence.
It's incredibly challenging to accurately forecast costs and justify significant investments when rework, engineering changes, and warranty claims consistently eat into profit margins. We help finance leaders gain greater financial predictability and demonstrable ROI from product development processes — enabling confident investment in future growth and long-term profitability.
What Falls On Your Desk
The financial governance responsibilities where better operational data makes the biggest impact
Financial Planning & Analysis
Managing financial planning and analysis, overseeing budgeting and forecasting, ensuring financial reporting accuracy, and managing cash flow and capital allocation
Investment Evaluation & CAPEX
Evaluating capital expenditure requests including IT and PLM investments, calculating ROI for initiatives, and assessing financial risks and opportunities across the business
Cost Tracking & Variance Analysis
Tracking project costs and profitability, conducting variance analysis, preparing financial statements, and managing accounts payable and receivable
Cost of Quality & Waste Impact
Identifying and quantifying the financial impact of rework, scrap, engineering changes, and warranty claims that erode margins across the product lifecycle
Pains Holding You Back
The friction finance leaders face when operational costs are unpredictable and ROI is hard to prove
Justification
Forecasting
Gains You Could Achieve
Transform financial visibility challenges into a competitive advantage for smarter investment
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Predictable product cost tracking -
Visible cost drivers
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More accurate financial forecasting
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Evidence-based business cases
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Concrete cost saving examples
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Post-implementation ROI tracking
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Lower warranty claim costs
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Reduced after-sales service expenses
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Better product data integrity
See the Real Numbers
We help finance leaders connect operational data to financial outcomes — so you can see the true cost of rework, engineering changes, and quality issues. Build investment cases on real data and track post-implementation ROI with confidence.
Key Roadmap Steps
Questions finance leaders ask as they move from recognising the problem to choosing a solution
Problem
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What are the hidden costs of our current product development and manufacturing processes?
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How do rework and design errors impact our bottom line?
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How can we get more accurate cost forecasting for new products?
& Partners
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Can PLM help reduce costs associated with rework, scrap, and warranty claims?
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What is the typical ROI of a PLM implementation for companies our size?
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How does PLM help manage capital expenditure and operational costs?
Implementation
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What is the detailed financial model and ROI projection for our specific implementation?
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Can you provide concrete examples of cost savings and revenue gains from similar companies?
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What financial support and payment options are available?
Our Approach to Help You Get There
A structured approach that gives finance leaders the data they need for confident decisions
FAQs
Questions finance leaders ask when cost predictability and investment confidence become a priority
How does PLM help finance teams?
PLM connects product and operational data to financial outcomes — giving finance leaders visibility into cost drivers like rework, engineering changes, and quality issues that impact profitability throughout the product lifecycle.
Can you help justify digital transformation investment?
Yes. We help build ROI cases based on real operational data — quantifying the costs of rework, scrap, warranty claims, and manual processes that transformation addresses, providing concrete examples of cost savings from similar companies.
How do you track ROI after implementation?
We establish baseline metrics before implementation and track improvements in cost of quality, rework rates, change management efficiency, and operational costs — giving finance leaders clear evidence of return on investment.
What hidden costs does connected data expose?
Common hidden costs include design rework, engineering change overhead, quality failure costs, warranty claims, and the operational cost of managing disparate systems with manual data entry and redundant activities.