Zero-Gravity.ai

Reduce Gravity

The friction is visible. Change the conditions.

Change the organisational conditions that prevent information, decisions and action from moving effectively.

The primary intervention programme. Reduce Gravity works on the operating conditions — ownership, information, semantic meaning, process, governance, architecture and readiness — that determine whether data, analytics and AI actually change decisions and action.

When this programme fits

You will recognise the situation.

  • The causes of friction are sufficiently understood.
  • A transformation is active but movement is fragmented.
  • Data and analytics teams produce outputs without influencing decisions.
  • Process ownership is unclear; governance is duplicated or disconnected.
  • Information definitions conflict across systems and teams.
  • Technology architecture and organisational reality have drifted apart.
  • AI initiatives lack operational readiness.
  • Public-sector or regulated organisations need stronger IPM.
  • A strategic roadmap exists but coordinated action does not.

What changes

Intended movement — observable, not guaranteed.

  • Decisions have clearer ownership.
  • Information reaches the right decision at the right time.
  • Duplicate governance is reduced.
  • Programmes operate from shared priorities.
  • Semantic ambiguity decreases.
  • Data and AI work connects more directly to operational action.
  • Automation readiness becomes explicit.
  • Processes and information ownership become connected.
  • Intervention outcomes become measurable.

How we work

An adaptive, structured way of working.

The stages describe the working logic, not a fixed calendar. Every engagement adapts to the organisation.

  1. 01

    Focus

    • · Confirm the priority decision or value domains.
    • · Confirm the baseline.
    • · Agree intended movement.
    • · Clarify ownership and sponsorship.
  2. 02

    Design

    • · Redesign information and decision flows.
    • · Clarify ownership and decision rights.
    • · Define semantic requirements.
    • · Define process, governance, architecture and capability changes.
  3. 03

    Mobilise

    • · Translate design into workstreams and roles.
    • · Establish dependencies and decision cadence.
    • · Establish measures and an Evidence Pack.
  4. 04

    Implement

    • · Guide or lead execution.
    • · Resolve cross-functional friction.
    • · Connect data, process, governance and AI work.
    • · Make decisions visible.
  5. 05

    Demonstrate

    • · Compare movement with baseline.
    • · Review DAL, ARL, ROD and relevant measures.
    • · Update the Evidence Pack and adapt the intervention.

Evidence and outputs

Grounded in the Proof Model.

Reduce Gravity uses the Proof Model to connect intervention to observable movement. Evidence is a working instrument during the engagement — not a retrospective report at the end.

Reference measures

  • · Baseline
  • · Intervention hypothesis
  • · DAL, ARL, ROD
  • · Information Performance
  • · Decision Value

Practical depth

The full detail — available when you need it.

Expand any section for detailed modules, outputs, measures, Framework concepts, roles and related reading.