42005.ai
42005.AI / OVERVIEW

AI impact workspace

AI GOVERNANCE × HUMAN FACTORS × WORKPLACE HEALTH

Understand what changes when AI enters work.

Register the system, examine human and operational impacts, document evidence, assign controls and keep the assessment alive after deployment.

AI SYSTEM→WORK→HUMAN→IMPACT→CONTROL→MONITOR
REGISTERED SYSTEMS0Build your AI inventory
OPEN ASSESSMENTS0No assessments started
PRIORITY IMPACTS0Material / significant signals
OPEN ACTIONS0Nothing overdue
01

Impact portfolio

NO DATA YET

Complete an assessment to build an organisation-wide workplace impact profile.

02

Review attention

03

AI system register

04

Control pulse

SYSTEM REGISTER

Where is AI changing work?

Create an auditable inventory of AI-enabled systems and the work activities they influence.

IMPACT ASSESSMENTS

Assess work, people and consequences.

Structured workplace impact assessment with evidence notes, human-factors dimensions and lifecycle review.

CONTROL & ACTION REGISTER

Turn impact findings into accountable action.

Assign controls, owners, target dates and status. High-impact assessments should never end as a score.

WORKER VOICE

Compare governance assumptions with lived work.

Record worker feedback on workload, trust, autonomy, alerts, usability and the ability to challenge AI-supported decisions.

A

Management / worker gap

B

Worker signals

REPORTING

Produce a decision-ready assessment record.

Generate a concise professional report covering context, benefits, impacts, worker voice, evidence, controls and review requirements.

METHOD & GUIDANCE

A human-centred workplace lens.

42005.ai translates AI impact-assessment thinking into the language of work design, human factors, occupational health and operational control.

01

Context before scoring

Understand the intended purpose, affected work, users, non-users, environment and deployment stage before assessing impact.

02

Potential + adverse impact

Record intended benefits as well as foreseeable negative impacts. The goal is informed design and governance, not simply risk labelling.

03

Human factors by design

Consider cognitive workload, attention, situational awareness, trust, interface design, task allocation, competence, recovery and meaningful human control.

04

Worker participation

People affected by the system can reveal practical effects that system owners and technical teams may not anticipate.

05

Evidence over opinion

Support judgements with observations, interviews, testing, incident data, system documentation, SOPs and other traceable records.

06

Lifecycle monitoring

Revisit the assessment after pilots, model updates, process changes, incidents, worker concerns or material changes in intended use.

Important: 42005.ai is an independent professional initiative. This workspace is an assessment aid and does not constitute ISO/IEC certification, conformity assessment, legal advice or an official interpretation of any standard.
ASSESSMENT CONTEXT

Set the assessment context

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