AI Readiness Assessment

Making technology work for humans

Your organisation is adopting AI. But do you know what it's doing to the way your people think, decide, and collaborate? beò measures the cognitive impact of technology so you can make evidence-based decisions, not assumptions.

Our CTO has delivered technology transformation across

GDS HMRC BBC JP Morgan American Express Abcam

The perception gap

In 2020, our research used a Stroop task and actual iPhone Screen Time data to test whether intense social media use affects selective attention. The standard prediction, that high users would show attentional bias for social media stimuli, was not supported. Neither self-reported nor actual usage levels produced a detectable cognitive effect using the field's established tools.

We also found that a widely-used smartphone usage scale failed to predict actual device behaviour (r = .198, ns), adding to growing evidence that the instruments researchers rely on are not measuring what they claim to measure.

Organisations deploying AI face the same problem: the tools available to assess impact (satisfaction surveys, adoption metrics, usage dashboards) don't tell you whether AI is changing how your people think, decide, or collaborate. Measuring that requires different instruments entirely. That's what beò builds.

Hendry (2020, n=82) · Consistent with Andrews et al. (2015) and Ellis et al. (2019) on measurement validity
r = .198 (ns)
Correlation

Between a widely-used smartphone usage scale (MTUAS) and actual iPhone Screen Time. Not significant. One of the most cited instruments in the field failed to predict how people actually use their phones.

For Organisations

AI Workforce Cognitive Impact Assessment

Six dimensions of cognitive impact. Three measurement points. Pre-registered methodology. We measure what actually changes when your people start using AI.

Cognitive Load
NASA-TLX adapted for workplace AI. The standard measure, enabling comparison with existing research.
Decision Confidence
Are your people more or less confident in decisions made with AI assistance?
Perceived Control
Digital Flourishing Scale (Janicke-Bowles et al., 2023). Same instrument used across our consumer and workplace studies.
Attention Quality
Adapted ARCES (Cheyne, Carriere & Smilek, 2006). Measuring whether AI tools sharpen or scatter focus.
Collaboration Quality
How AI adoption changes the way teams share knowledge and make decisions together.
Skill Trajectory
Are people developing new capabilities or experiencing skill atrophy? The question every CTO should be asking.

What you get

  • Baseline cognitive profile before AI rollout
  • Longitudinal impact data at 4 and 12 weeks
  • Comparative benchmarking across dimensions
  • Evidence-based recommendations for your team
  • Published case study (with your permission)

Founding research cohort

We're selecting 3 to 5 organisations for our first workplace study. Founding cohort partners get bespoke pricing, a published case study, and your name on the paper if you want it. Plus early access to cross-industry benchmarking data as our dataset grows.

If you're planning an AI rollout in 2026, this is the time to measure what it actually does to your people.

Apply for the founding cohort

beòLAB

Our research arm runs pre-registered studies across consumer and workplace settings. All hypotheses registered on OSF before data collection. All findings published, including null results.

B2B Study

AI Workforce Cognitive Impact Study

Longitudinal observational study measuring cognitive changes following AI tool adoption in organisational settings. Founding cohort: 3 to 5 organisations, 75 to 200 participants.

Pre-registration: Q1 2026. Data collection: Q2 2026.

Selecting founding cohort
Consumer Study

beòLAB Flourish

A four-week study testing whether simple reconnection habits improve perceived control over technology. Pre-registered on OSF. The same validated instruments underpin both our consumer and workplace research.

Launching on iOS
Pre-registered on the Open Science Framework. We share what works and what does not.

Team

Mark Andrew Pope
Mark Andrew Pope
Chief Executive Officer

60 years watching technology evolve. The vision behind beò's mission to ensure technology serves people, not the other way around.

Julie Hendry
Julie Hendry FBCS
Chief Technology Officer

30 years delivering technology transformation across GDS, HMRC, BBC, JP Morgan, and American Express. MSc Psychology (Distinction), University of Strathclyde. Julie's masters research tested whether intense social media use affects selective attention using objective smartphone data. The findings on measurement validity underpin beò's approach.

Treasurer, BCS Ethics Committee · Fellow, BCS