Three AI questions every business leader needs to answer.

The Cost Question

How much does AI actually cost — and are you overpaying?

AI model prices vary by 100x between providers and change constantly. Most companies default to the most-talked-about model rather than the best-value one for their workload. The LLM Pricing Comparison shows you the real cost of ChatGPT, Claude, Gemini, and 130+ other models — filtered by your use case, context window, and quality requirements.

The Strategy Question

Is your company actually ready for AI — or will you waste the next six months on a failed pilot?

Most AI projects fail not because of the technology but because the business wasn't ready. The AI Readiness Assessment scores your organisation across five pillars — strategy, data, infrastructure, talent, and governance — then tells you exactly which gaps to close first.

The Governance Question

What AI tools is your team already using — and which ones put your data at risk?

Studies show over 70% of employees use AI tools their company hasn't approved. Some are harmless. Others send your proprietary data to servers you've never audited. The Shadow AI Audit maps every tool in use across your team, assigns a risk score to each, and gives you a governance scorecard you can take to your board.

How do I compare AI model costs?

Use the LLM Pricing Comparison tool. Answer three quick questions about your use case, expected token volume, and quality requirements. The tool calculates annual cost for each model and ranks them by value for your workload — no sign-up needed.

Which is the cheapest AI model for business use?

It depends on the task. For simple classification and summarisation, open-source models run on your own infrastructure can cost close to zero. For complex reasoning tasks, frontier models from OpenAI, Anthropic, and Google vary by 5–10x. The LLM Pricing Comparison tool filters by task type to show you the best-value options.

What is an AI readiness assessment?

An AI readiness assessment scores your organisation’s ability to successfully adopt AI. Ours evaluates five pillars: strategy and leadership, data readiness, technology infrastructure, team skills, and governance and risk controls. You get a score for each pillar, a benchmark against peer organisations, and a prioritised action plan.

How long does the AI readiness assessment take?

About 10 minutes. It’s 30 questions, presented one at a time. You don’t need to prepare anything in advance — answer based on your current knowledge of the business. Results are emailed to you immediately after you finish.

What is shadow AI?

Shadow AI refers to artificial intelligence tools that employees use in their day-to-day work without the knowledge or formal approval of IT, security, or management. Common examples include AI writing assistants, image generators, and productivity tools that employees sign up for personally using company data.

Why does shadow AI matter for my business?

Because the tools may be processing confidential business data, customer information, or intellectual property on external servers with terms of service you’ve never reviewed. In regulated industries, this can create GDPR, HIPAA, or SOC 2 compliance exposures. The Shadow AI Audit identifies every tool in use and assigns a risk tier to each.

How do I find out what AI tools my team is using?

Use the Shadow AI Audit. You can discover tools by uploading an expense export, searching by name, selecting an industry starter list, or connecting Google Workspace to surface apps your employees have already authorised. The audit then walks you through 12 governance questions to produce a risk scorecard.

Are these tools really free?

Yes. All three tools are free to use without signing up. If you want a full generated report — a detailed PDF, a CEO summary, a data-protection checklist, or per-vendor questionnaires — you can sign in to unlock those. The core results are always free.

Do I need to sign up or create an account?

No sign-up is needed to run any of the three tools. You only create an account if you want to save your results, share them with your team, or unlock the extended report features.

What does my AI readiness score mean?

The score sits between 0 and 100 across five pillars. A score above 70 in a pillar means you’re ready to move forward in that area. A score below 40 signals a gap that should be addressed before launching an AI initiative. The report tells you which three actions will have the biggest impact on your score this quarter.

What is AI governance and why does it matter?

AI governance is the set of policies, processes, and controls that determine how AI tools are approved, monitored, and managed within an organisation. Good AI governance prevents data breaches, regulatory fines, and reputational damage. It also makes it easier to scale AI adoption confidently once the foundations are in place.

How do I present AI risk to my board?

The Shadow AI Audit generates a board-ready summary that lists the tools in use, their risk tiers, and the recommended actions. Sign in after completing the audit to download the one-page executive summary — written in plain English with no technical jargon.