The Human Pause
A pre-commitment AI decision audit for boards and senior leadership teams.
The Human Pause is a focused intervention used before a consequential AI decision is committed.
It establishes whether a decision should proceed, pause or be redesigned, based on ownership, risk and consequence.
The work is grounded in how the organisation actually operates, not in generic use cases or theoretical opportunity.
Preparation is minimal and targeted. We review how decisions are currently made, where accountability sits and what constraints already exist.
This ensures the engagement is focused, relevant and decision-led.
During the intervention, we define the decision explicitly, identify risk exposure and test whether the decision can be defended.
The output is a written decision record, with clear recommendations on what to proceed with, what to avoid, and whether to proceed, pause, redesign or stop.
The outcome is a decision that can be understood, challenged and defended.
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AI Decision Clarity Score
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Decision-owner map
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Business-outcome map
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Decision risk register
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Governance and accountability gap analysis
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Vendor / readiness challenge sheet
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Proceed / pause / redesign / stop recommendation
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90-day decision roadmap
Timeframe
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Half-day for smaller organisations
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Several days for more complex environments
AI Decision Architecture Sprint
A defined engagement to translate an agreed AI decision into the governance and system architecture it requires.
AI Decision Architecture translates agreed decisions into system design.
It follows The Human Pause once a decision has been defined, owned and approved to proceed.
The work defines how the system will operate within the organisation, including boundaries, controls and accountability.
The emphasis is on coherence, durability and governance, not speed of execution.
The output is a clear architectural blueprint that delivery teams can implement and senior leaders can stand behind without reopening the underlying decision.
What this involves
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Translation of agreed decisions into system design
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Definition of boundaries and control structures
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Alignment across data, technology, process, and people
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Design that reflects governance and accountability
What is produced
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Architectural blueprint
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Defined system boundaries and responsibilities
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Decision intent preserved for delivery
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Design that leadership can approve and defend
How this is delivered
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Led directly by NakedAI
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Decision-led, independent of vendors
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Designed to be implemented by delivery teams
AI Oversight / Decision Board
Keeping decisions sound over time.
Operational Governance & Oversight ensures that AI decisions remain governed, accountable and aligned over time.
It can follow The Human Pause or Architecture Design, or operate independently where governance is already in place.
The work defines decision rights, escalation pathways and ongoing oversight.
The objective is to ensure accountability remains clear and risk is actively managed as systems evolve.
We do not implement systems.
We provide independent oversight, challenge and governance to ensure delivery remains aligned with the original decision.
The outcome is sustained accountability and decisions that continue to hold under scrutiny.
What this involves
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Definition of decision rights and accountability
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Governance model design or validation
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Escalation and oversight structures
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Independent review of decisions and delivery
How we engage
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Can follow The Human Pause or Architecture Design
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Independent of delivery teams
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Second-opinion or oversight role
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Ongoing or retained involvement
What this provides
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Sustained governance over time
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Clear accountability as systems evolve
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Reduced organisational and reputational risk
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Confidence under scrutiny