Synapsed AI Frameworks

Research / AI Frameworks

Know where you stand.
Define how to move forward.

The 5D Assessment identifies organisational priorities. The Governance Framework turns those priorities into responsibilities, lifecycle activities and evidence. Use them together to build an AI capability your teams can sustain.

Compare the two methods Apply them with Synapsed
Conceptual layers linked by illuminated paths, representing connected research methods.
Two complementary methods

Start with the question you need to answer.

Illustrative glass presentation of the five Synapsed governance dimensions and practice areas from the training materials.
01 / Understand readiness

5D AI Governance Assessment

Where is your organisation ready to act, and what needs attention first?

For
Leaders, AI programme owners and governance teams.
Examines
Evidence across AI Team, Processes, Guidelines, Standards and Guardrails.
Helps you establish
An improvement roadmap with priorities and ownership.
Explore 5D Assessment
Stylised presentation of the Synapsed governance research application.
02 / Organise the work

Synapsed AI Governance Framework

How should governance shape the way an AI system is designed, built and reviewed?

For
Product owners, governance leads, engineers and assessors.
Examines
Decisions, responsibilities, lifecycle activities, controls and evidence.
Helps you establish
A working governance model connected to delivery.
Explore Governance Framework
A practical distinction

Readiness and governance answer different questions.

Decision5D AssessmentGovernance Framework
Starting pointCurrent organisational practices and available evidence.An AI initiative and the requirements, responsibilities and decisions it needs.
Main questionWhat is in place, what is missing and what matters most?Who acts, at which point, with which controls and evidence?
Typical outputsFindings, improvement priorities and a roadmap.Defined activities, ownership, review points and evidence requirements.
Next stepAssign and implement the priority actions.Apply the model, review the evidence and improve it as the system changes.
From priorities to practice

Build a connected path to evidence.

  1. Assess the organisation

    Use the 5D dimensions to understand the starting point and agree priorities.

    Decision: which capabilities need attention first?

  2. Apply governance

    Translate priorities into activities and accountable roles across the AI lifecycle.

    Decision: what must be done before the next stage?

  3. Test and improve

    Use application testing and operational feedback to review the controls and the assumptions behind them.

    Decision: what does the evidence support, and what needs to change?

Choose a focused starting point.

Bring an AI initiative, an organisational question or an existing assessment. We help identify the method and depth that fit your context.

Discuss your priorities Explore AI Services