Capturing AI-Driven Efficiency from IT Vendors

Your vendors are already using AI. Are you capturing the efficiency gains?

Software development vendors are already using generative AI to accelerate delivery and improve productivity. However, those improvements do not always translate into benefits for the client.

In many cases, AI adoption is not communicated transparently, the resulting efficiency gains are not quantified and the savings are not reflected in the commercial model of the service.

The result: the vendor may be delivering more efficiently, while the client continues to pay under a model that does not reflect this new reality.

At LedaMC, we help you identify, quantify and capture the efficiency gains generated by AI across your software development vendors, building an objective and defensible basis for negotiation.

How we do it

We combine market analysis, benchmarking, software productivity data, expertise in functional measurement and an in-depth understanding of the impact of generative AI across the software development lifecycle.

We analyse your organisation’s context

We identify vendors, services, technologies, development types and contractual models where AI-driven efficiency gains may exist.

We benchmark against market data

We review current studies and data from Quanter’s database of more than 105,000 projects to establish realistic and comparable productivity improvement ranges.

We incorporate your own data

Where available, we analyse your organisation’s data on projects, vendors, costs, productivity, defects and quality to tailor the assessment to your specific context.

We estimate savings scenarios

We calculate realistic scenarios for potential efficiency gains by vendor, technology, service or development type, avoiding generic assumptions and extrapolations.

We prepare a value capture strategy

We translate the results into criteria for renegotiating prices, reviewing capacity, defining productivity commitments or establishing monitoring mechanisms.

What we deliver

Executive Report

Key findings, savings scenarios, and recommendations.

Market meta-study

Evidence from different market studies on AI.

Analysis of Quanter’s database

(more than 105,000 projects) to assess AI-driven productivity.

Analysis of client’s project data

Subject to data availability.

Value Capture Criteria

To prevent efficiency gains from remaining solely with the vendor.

Executive Workshop

A two-hour workshop to present the findings and prepare the renegotiation strategy.

Benefits of Capturing AI-Driven Efficiency

Objective basis for vendor negotiations: Replaces perceptions and commercial claims with evidence on productivity, cost, quality, and market benchmarks.
Capturable potential savings: Identifies which efficiency gains can be achieved by vendor, service, or technology and how they can be translated into pricing, capacity, or contractual commitments.
Greater vendor transparency: Enables discussions based on comparable data rather than solely on claims about AI adoption or vendors’ internal estimates.
Reduced risk: Avoids across-the-board cost reductions or rushed decisions that could undermine quality, knowledge retention, or service sustainability.
Better decision-making: Provides robust evidence to support renegotiations, contract reviews, productivity models, and vendor management.

Which organisations might be interested in Capturing AI-Driven Efficiency?

This solution is particularly relevant for organisations that outsource part of their software development and want to understand whether Generative AI is changing the productivity of their vendors.

Why LedaMC?

Proven experience: More than 20 years measuring productivity, quality and efficiency in software development.
IT productivity expertise: Specialists in estimation, benchmarking, functional measurement and software productivity models.
Unique database: Access to Quanter’s database of more than 105,000 software development projects.
Independent perspective: Objective vendor assessment based on evidence rather than commercial claims.
End-to-end approach: The ability to connect productivity, cost, quality, contracts and vendor management.
Results-driven: Extensive experience turning measurement into actionable decisions for negotiation, governance and efficiency capture.

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