Every assessment is independent, vendor-neutral, and delivered by practitioners — not platforms. Just intelligence your organization can act on.
Where findings require action, Axiom Strategy can facilitate implementation through its vetted partner network — under Axiom oversight, with Axiom accountability. Organizations that prefer to implement independently retain that choice. Either way, the assessment comes first.
Governance
AIGA
Artificial Intelligence Governance Assessment
Do Your AI Rules Exist — And Do They Hold Under Pressure?
AI governance is not a compliance checkbox. It is the foundation that determines whether your organization can deploy AI responsibly, recover when something goes wrong, and demonstrate accountability to regulators, clients, and boards.
Most organizations that have deployed AI have not formally governed it. Many that believe they have governance discover — when it is tested — that what is written does not match what is happening. A policy that contradicts operational reality is worse than no policy. It creates false confidence and documents the organization failing to follow its own rules.
The AIGA assesses whether AI governance exists, whether it holds under pressure, and — for organizations that have not yet deployed AI — builds the governance framework before deployment begins.
For organizations that have deployed AI
AIGA Evaluate
Does your existing governance actually govern?
A structured assessment of whether the governance your organization believes it has matches operational reality. It examines eight dimensions of AI governance through document review, structured interviews, and evidence-gated scoring. Every finding is traceable to a sighted artifact or recorded statement — not assumption, not self-reporting.
For organizations that have not yet deployed AI
AIGA Author
Build the rules before you need them.
Not an assessment — a co-authorship engagement. Axiom works with your leadership team, in structured workshops, to build an AI governance policy from the ground up, before deployment begins. Every rule is a decision made by your leadership, facilitated and drafted by Axiom. Nothing enters the policy that leadership did not decide. Nothing is left vague enough to be unenforceable.
The eight dimensions assessed
- Inventory & Visibility Does the organization know every AI system touching its business?
- Data Boundaries Is it defined what data AI systems can see, and what can never leave the organization?
- Risk Classification Does the organization tier its AI use cases by consequence, and govern high-risk uses more strictly?
- Accountability & Human Oversight When an AI output causes harm, is it already clear — in writing — who owns it?
- Vendor & Third-Party AI Are external AI providers governed by contract, not trust?
- Monitoring & Incident Response Will the organization know when its AI fails — and does it know what to do in the first 24 hours?
- Training & Acceptable Use Does every employee know, in plain language, what they may and may not do with AI?
- Regulatory & Legal Alignment Is the governance framework mapped to the actual laws and regulators that govern this organization?
The same eight dimensions that AIGA Evaluate assesses become the eight decision sections of the AIGA Author workshop — each made against your organization's specific AI ambitions, sector, regulatory environment, and risk appetite.
External Intelligence
AIIA
Artificial Intelligence Identity Assessment
How Does AI Find You, Trust You, And Represent You?
When a potential client, investor, partner, or regulator asks an AI system about your industry, your category, or your organization — what happens? Do you appear? Are you represented accurately? Are you recommended — or is a competitor recommended instead?
The AIIA is Axiom's bundled external intelligence assessment. It brings together three precisely designed assessments into one coordinated engagement, each measuring a distinct dimension of how your organization exists inside AI systems. Together they produce a complete picture of your external AI identity — how you are found, whether you can be trusted, and what AI systems say about you.
Three assessments. One coordinated picture of your external AI identity.
A component of the AIIA
AIPA
Artificial Intelligence Presence Assessment
Can AI Find You?
When someone asks an AI system about your industry, your category, or your competitors — does your organization appear? Are you cited, recognized, or completely absent? In a zero-click world, AI systems deliver answers directly — no website visit, no search result, no second chance. The AIPA tells you exactly where your brand stands across the AI information ecosystem — and what it will take to change it.
Why existing approaches fall short — and why AIPA exists
AEO
Answer Engine Optimization — optimizes for featured snippets and voice answers. Search-engine logic applied to an AI-native problem.
GEO
Generative Engine Optimization — improves content for generative AI retrieval. Useful, but content-layer only. Does not assess how AI systems actually represent your organization.
LLMO
Large Language Model Optimization — a vendor-specific term for tuning visibility in specific LLMs. Narrow in scope and tied to proprietary tooling.
AISO
AI Search Optimization — focuses on discoverability in AI-powered search. Addresses one channel, not the full AI ecosystem.
AIO
AI Optimization — an umbrella term with no agreed methodology. Often used interchangeably with SEO adaptations for AI.
None of these approaches measure what matters most: how AI systems discover, represent, and cite your organization across the full landscape of AI platforms your prospects are already using. That is what the AIPA measures — independently, systematically, and without a tool to sell you afterward.
A component of the AIIA
DTSH
Digital Trust & Security Hygiene Assessment
Can AI Trust What It Finds?
Being found by AI is only valuable if what AI finds is credible and trustworthy. The DTSH evaluates your organization's external digital security posture — the externally observable controls, infrastructure hardening, privacy governance, trust signals, and operational resilience that determine whether your digital presence is considered credible and secure. Unlike traditional vulnerability scans or penetration tests, the DTSH is entirely passive and non-intrusive. No business operations are disrupted. Every finding is based on publicly observable evidence only.
- External security controls and HTTP response headers
- SSL/TLS configuration and certificate integrity
- Public forms, data handling, and third-party service exposure
- Cookie governance and tracking infrastructure
- Technology stack security posture
- Privacy governance and transparency signals
- Operational resilience indicators
A component of the AIIA
OPI
Organizational Perception Intelligence
What Do AI Systems Actually Say About You?
Presence is not the same as perception. The OPI assesses the narrative AI systems construct about your organization — across sectors, geographies, and query types — measured against a rigorous multi-dimensional framework that few AI agencies in the world are currently equipped to deliver. Are you described accurately? Authoritatively? Favorably? Or is the AI narrative around your brand working against you? The OPI tells you.
AI Readiness
AIRA
AI Readiness Assessment
Is Your Organization Ready To Deploy And Benefit From AI?
Enthusiasm for AI is not readiness. A budget line for AI is not readiness. Readiness is the structural, cultural, and technical capacity of an organization to adopt AI, operate it responsibly, and extract measurable value from it.
Most organizations that invest in AI before assessing their readiness do not fail because the technology is wrong. They fail because the organization was not ready for it. The AIRA delivers a sector-benchmarked diagnostic that tells leadership exactly what is ready, what is not, and what needs to happen — in what order — before AI investment delivers returns.
Where does your organization sit on the AI Ladder?
Stage 1
Pre-Digital
We run on instinct and experience.
Stage 2
Digitally Aware
We record what happens, but don't yet use it.
Stage 3
Data Informed
We measure what matters and make decisions from it.
Stage 4
Process Automated
We've removed the routine from our people's plates.
Stage 5
Intelligently Optimised
We predict, adapt, and improve continuously.
Stage 6
AI Native
AI is fundamental to how we operate and compete.
Most organizations are between Stage 1 and Stage 3. The AIRA tells you exactly where you stand — and what it takes to move forward.