Skip to content
AI Transformation

AI adoption is up. Is productivity?

Licenses, prompts, and tokens show usage. HappySignals shows who's getting value, so you can scale what works and prove the impact to the business.

The licencesLicence report, this month
92%of employees have a Copilot licence
Weekly active users
71%
Prompts this month
184,000
Training completed
64%
The peopleHappySignals, 3 months
45%say AI is there, but they are not getting much from it yet
The decisionAsk, 4 seconds

A decision

Who should our next AI training reach?

Customer service. They have the licences and use them, but say AI adds steps to their day. Start with the two tasks they named.

45%one step away from real value
5%say AI makes work more stressful

Illustrative data.

Why HappySignals

Find out who AI is really working for.

Somewhere in your company, AI is already working. Here are seven ways to find where, learn why, and scale it.

Experience by AI toolLast 3 months
Microsoft Copilot
ChatGPT
Gemini
Claude
NegativePositive

The whole story behind the experience

Usage data says who logged in, how many prompts were sent, and how many tokens were spent. Add experience and employee data, and you'll see how each AI tool works for the people using it.

Validated surveys and benchmarks

Research-backed questions and over a decade of experience data mean you don't have to invent your own. And with our benchmarking data, you can compare your organization with others to understand what good looks like.

HappySignals average15 to 40%response rate
Typical survey5 to 10%response rate

Consistently high response rates

Designed for people to express how they feel, including those who quietly stopped using AI. You hear the whole workforce, not just the enthusiasts. Results are more representative, more trustworthy, and usable for analytics.

Engineering+46
Marketing+34
Finance+8
Customer service−21

Experience by user segment

Your best AI story is already happening somewhere. See which roles, functions, and locations get value, and which need support.

Experience Intelligence
Why are our sales managers critical of Copilot?

Your AI experience advisor

Just ask. Our AI draws on over a decade of experience, insights, and millions of responses to surface themes, generate reports, and answer hard questions in seconds. No analysts, training, or waiting. Anyone on your team can be the expert from day one.

Say AI makes them more efficient65%▲ 17 points in six months
Time saved, Engineering22 minper person a day

Productivity and efficiency impact

Do your employees feel AI is saving them time and raising the quality of their work? Or are some groups still waiting to see the benefits? Capture employee-reported efficiency by role, team, and location. 

Live in daysData from day oneNo custom developmentISO 27001:2022GDPR aligned
Your dataCustomer-owned

Ready to deploy

Designed to go live fast, without turning experience measurement into a long survey design, integration, and reporting project. Proven methodology, ready-made surveys, benchmarks, certified integrations, and immediate value from day one.

Keep your usage data

Usage tells you who logged in. Not who got better at their job.

The top 10% of enterprise spenders invest about €3,000 per employee a year into AI. Are your people getting the value? License reports and token counts show activity. They can't show whether people feel more productive, or why some teams gave up.

QuestionLicence reportsUsage analyticsHappySignals
Who has a licenceFrom your data
How often an AI tool is used–From your data
Which roles and teams get real value–Partly
Whether they feel more productive––
How much time AI saves them––
Whether the quality of their work improved––
Why usage stalls: trust, training, policy, or other––
Who are the champions and what are their use cases––
From customer data

What employees tell us about AI.

50 to 65%
say AI already makes them more efficient
HappySignals AI Tools Benchmark Data, October 2026
45%
say they're not getting much from AI yet
HappySignals AI Tools Benchmark Data, October 2026
5 to 10%
say AI has made their work more stressful
HappySignals AI Tools Benchmark Data, October 2026
Use cases

Questions every AI rollout runs into.

Pick the use case you need more insights on. Each shows what the data looks like.

Did the AI investment pay off?

License counts and token usage show who's using AI, not what it's worth. The people using it know. Ask whether it saves them time and improves their work, and keep asking, so you can see whether the value is growing or fading.

80%of companies fail to benefit from AI because of human factors, not technology
Last 6 monthsWorking with AI+18on 4210 responses
Influence of AI
Six months of continuous measurement
Say AI makes them more efficient
65%▲ 17
up from 48% six months ago
Say AI improves the quality of their work
41%
the second most common benefit

A trend, not a one-off survey.

Screens use demo data. Group shares from HappySignals customer AI experience data, 2026.

From a customer

Experience-led, not technology-led.

GEA Group

“Data has changed the way we prioritize AI initiatives. Instead of chasing the newest trends, we realized we have to focus more on what we really need from an experience level and what people need.”

Shaun Brown, Director of Global Service Delivery, GEA Group

A decade of experience data

Nobody has a playbook for AI value yet.

You don't need to invent one. We apply over a decade of standardized experience data to your rollout. No generic model can copy that, even if they tried.

  • Over 10 years of experience data
  • +15 million benchmark responses
  • 130+ countries
  • ISO 27001:2022
  • GDPR aligned
After you book

Book a call. Get your missing insights in two weeks.

A conversation first. Then, a short survey that your people actually answer, running in a few days.

  1. Day 1

    A 30-minute call

    We look at your AI tools, your rollout plans, and what leadership is asking you to prove.

  2. A few days

    Up and running

    Four questions about working with AI, asked by role, function, and location, using the employee data you already have.

  3. Two weeks

    The first trends

    See who already gets value from AI, who doesn't yet, and the reasons why.

  4. Throughout the year

    Continuous pulse

    Keep measuring throughout the year to keep a continuous pulse and see the impact of your changes over time.

You deployed AI tools. Can you show who became more productive?

Bring your questions, and we'll design a custom demo around them.