How Quanter helps you

Take control of the ROI of your AI-assisted software development

Quanter helps you measure, compare and demonstrate whether AI is actually improving the efficiency of your projects

I want to try!

Measure the real impact of AI on your projects

Like many organisations, you are probably already incorporating generative AI into your software development, but you may still struggle to answer these and other key questions:

  • Are we delivering more value or simply generating more activity?
  • Is AI reducing the effort required to deliver the same scope?
  • Which projects are generating the best returns?
  • Which teams or vendors are making the most effective use of AI?
  • Is productivity improving without compromising quality, control or traceability?

Quanter measures the value of software delivered into production and connects it with development effort, cost, quality and productivity.

With this information, you can compare traditional software development with AI-assisted development and determine whether you are actually delivering more value with less effort.

AI CHALLENGES

  • Measure real value
    Demonstrate impact, not just AI usage
  • Compare in context
    Not all projects, teams or technologies improve in the same way
  • Control total costs
    AI also involves licences, tokens, review and governance
  • Mantener la calidad
    Accelerate delivery without creating rework, technical debt or loss of control

How does Quanter help you achieve this?

Measure delivered value

Quanter quantifies the software product delivered, regardless of whether it was developed traditionally or with AI assistance.

Connect value and effort

Link the functional value delivered to the effort invested and its cost to calculate productivity and unit cost.

Incorporate your historical data

Import past projects into Quanter and use them as a baseline for comparing current productivity.

Compare SW projects

Analyse whether AI-assisted projects deliver more value, require less effort or reduce the cost per functional unit.

Make better decisions

Use objective data to decide where to apply AI, which teams are capturing the most value and which initiatives are generating the highest returns.

Move from AI adoption to measurable returns

  • Demonstrate the real ROI of AI: Determine whether AI is delivering more value with less effort.
  • Measure productivity with objective data: Compare delivered value, effort and cost across traditional, historical and AI-assisted projects.
  • Control unit costs: Identify whether software costs are falling or whether savings are being lost through review, rework or new AI-related costs.
  • Identify where to scale AI: Find the teams, vendors or project types where AI is having the greatest impact.
  • Make better investment and vendor decisions: Use comparable data to prioritise initiatives, review delivery models and evaluate results.
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