What you gain

More time. More focus. Less backlog.

What do you actually get when AI agents take on your team's postponed work? For your business, your team and your customers.

Postponed work (red) becomes time for what matters (green).

Eight benefits

  • Time

    Hours per week that flow back to your team, measured and reported. Half of developers currently lose 10 hours or more per week to inefficiencies. [6]

  • Focus

    Your people work on customers, new features and decisions instead of routine work. Today, only 16% of their time goes to coding. [6]

  • Speed

    Backlogs disappear. In a field experiment with 4,867 developers, those with AI assistance completed 26% more tasks. [13]

  • Quality

    More tests and better documentation. More AI use goes hand in hand with better documentation, provided a human reviews it. [18]

  • Less technical debt

    Old code cleaned up step by step. In large companies, 10 to 20% of the budget for new products goes to technical debt. [8]

  • Security

    Updates and security patches that no longer get postponed.

  • Predictable costs

    Fixed prices instead of an extra hire. In Belgium, 63% of businesses recruiting ICT specialists had hard-to-fill vacancies. [3]

  • A happier team

    Less tedious work, more of the work your people once chose this job for.

Worked example

This is what a week looks like.

Per developer. With review time honestly subtracted. Multiply by the size of your team.

Run your own numbers
Todayper developer, per week
30 h focus8 h postponed work
With agentssame week, same person
33 h focus+3 h back1 h review4 h postponed
Worked example using the default values of our calculator: 8 hours of postponed work per week, the agent takes over 50%, and review takes 25% of that. Deliberately cautious: developers themselves estimate that they spend an average of 17.3 hours per week on maintenance. [5] Your figures may be higher or lower. Our calculation assumptions

For everyone in your business

Who benefits, and how.

The business owner

  • More done with the same team
  • Fixed, predictable costs
  • Less dependent on hard-to-fill hires
  • A monthly report with the hours won back

The team lead or CTO

  • The roadmap catches up with the backlog
  • Technical debt goes down instead of up
  • Control over every change
  • An approach your team learns for itself

The developer

  • Less routine work, more real challenges
  • Tests and documentation that are simply there
  • A new skill: working with agents
  • The final say over the code

Your customers

  • Fewer small bugs
  • New features sooner
  • Safer, up-to-date software
  • A team with time for their questions

What research says

Gains are possible. Not automatic.

Randomised studies show both large gains and losses. The difference lies in the task and the way of working. That is why we choose tasks carefully and measure in your business.

Measured effect of AI assistance in programmingPositive: faster or more work done. Negative: slower. The line shows the margin of error (95%).
GitHub Copilot, lab experiment (2023) [11]95 developers, one well-defined task. Measure: time until the task is finished.
+55.8%
Field experiment at 3 companies (2026) [13]4,867 developers at Microsoft, Accenture and a Fortune 100 company. Measure: number of completed tasks.
+26.1%
Google, randomised study (2024) [12]96 engineers, one task. Measure: time until the task is finished. Wide margin of error.
+21.0%
METR, experienced developers (2025) [14]16 experienced developers, 246 real tasks in large projects. Measure: time per task. They took 19% longer.
-19.0%

Effect in per cent

The studies do not measure the same thing and are not directly comparable. More explanation and limitations on our evidence and sources page.

Source: Peng, Kalliamvakou, Cihon and Demirer (2023) [11] · Cui, Demirer, Jaffe, Musolff, Peng and Salz (2026) [13] · Paradis, Chandra et al. (Google) (2024) [12] · METR (2025) [14]

Show the figures as a table
EffectMargin of error (95%)
GitHub Copilot, lab experiment (2023)+55.8%21.0% to 89.0%
Field experiment at 3 companies (2026)+26.1%5.9% to 46.3%
Google, randomised study (2024)+21.0%not reported
METR, experienced developers (2025)-19.0%-39.0% to -2.0%

Where does the time you win back go?

You decide what to do with it.

  • New features that have been on the list for months
  • More time for customers and their questions
  • Innovation and experiments
  • Training and growth for your people
  • Less overtime and a free Friday afternoon

To be fair

What it is not.

Not a replacement for your team

Agents carry out work. Decisions, design and customer contact remain human work. The gain comes from removing routine work, not from removing people.

No guaranteed number

How much time you save depends on your code, your tasks and your team. That is why we start with a free scan and measure during the implementation instead of promising something up front.

What work keeps getting postponed in your business?

Tell us in a free one-hour online conversation. You get a written scan with our honest estimate, even if the answer is that there is little to gain.

Free scan Calculate