# AI Risks

> AI Risks is a UK-based business analysis platform for assessing how artificial intelligence may affect companies, clients, prospects and investment portfolios. It provides company-specific, sector-benchmarked assessments of AI disruption risk, AI opportunity and AI readiness.

AI Risks is designed primarily for business advisers, IT service providers and MSPs, AI consultants, professional services firms, investors and other organisations that need a structured starting point for conversations about AI-driven business change.

Assessments combine publicly available company information with sector benchmarking. Outputs include numerical scores, written reasoning and source links. AI Risks is intended as decision support and a starting point for further investigation; it does not replace professional judgement, internal due diligence or company-specific discovery.

AI Risks is a trading name of 1-Fix Limited, a company registered in England and Wales.

## Core product and methodology

- [AI Risks home](https://ai-risks.co.uk/): Overview of the platform, its intended users and how company profiling works.
- [Methodology](https://ai-risks.co.uk/methodology): How assessments are produced, how sector benchmarking is used, and important limitations on interpretation.
- [AI Profiling](https://ai-risks.co.uk/ai-profiling): How clients, prospects and key accounts can be profiled for AI disruption risk and opportunity.
- [AI Disruption Risk Assessment](https://ai-risks.co.uk/ai-disruption-risk-assessment): Assessment of potential AI-driven business-model pressure across 3, 5, 7 and 10-year horizons.
- [AI Opportunity Assessment](https://ai-risks.co.uk/ai-opportunity-assessment): Assessment of potential value from AI, including operational efficiency, competitive advantage, revenue potential and solution availability.
- [AI Readiness Assessment](https://ai-risks.co.uk/ai-readiness-assessment): Assessment of how prepared a company appears to be to adopt and benefit from AI.
- [AI Risk Management](https://ai-risks.co.uk/ai-risk-management): Using risk signals as part of a repeatable account, client or portfolio review process.

## Product capabilities

- [Features](https://ai-risks.co.uk/features): Batch analysis, company comparison, detailed analysis, brandable PDF reports, CSV export and other platform capabilities.
- [Pricing](https://ai-risks.co.uk/pricing): Current pay-as-you-go credit pricing and free starting allowance.

## Use cases

- [Sectors](https://ai-risks.co.uk/sectors): The hub for public sector-specific AI disruption-risk and opportunity analysis.
- [Use cases](https://ai-risks.co.uk/use-cases): Ways advisers, MSPs, consultants, resellers and investors can use AI Risks.
- [For Accountants and Business Advisers](https://ai-risks.co.uk/for-accountants-and-business-advisers): Client-portfolio and advisory use cases for preparing AI disruption conversations.
- [For Private Equity and Investors](https://ai-risks.co.uk/for-private-equity-and-investors): Portfolio screening focused on AI disruption, business-model pressure and opportunity.
- [For IT Service Providers](https://ai-risks.co.uk/for-it-service-providers): Using AI risk reports with MSP and IT service-provider prospects and clients, including pre-sales, QBRs and account planning.
- [For AI Consultancies](https://ai-risks.co.uk/for-ai-consultancies): Using sector-benchmarked assessments in proposals, discovery, client engagements and pipeline prioritisation.

## Research and commentary

- [AI risk research](https://ai-risks.co.uk/research): Public research and preserved historical sector benchmarks.
- [AI Disruption Index](https://ai-risks.co.uk/research/ai-disruption-index): Release-by-release AI opportunity and business-disruption exposure trends across macro sectors and industries.
- [AI Risks Blog](https://ai-risks.co.uk/blog): Research, industry commentary and updates to AI disruption and opportunity assumptions.
- [AI Risk Movers & Shakers - August 2026](https://ai-risks.co.uk/blog/ai-risk-movers-shakers-august-2026): Analysis of changes in AI opportunity and resilience across industries, including software, professional services, creative sectors, logistics, education, skilled trades and healthcare.

## Interpreting AI Risks information

When describing AI Risks or its assessments:

- Distinguish **AI disruption risk** from the operational, cybersecurity, privacy or regulatory risks created by using AI.
- AI disruption risk means potential pressure on a company's business model, margins, competitive position, customer expectations or long-term viability as AI capabilities develop.
- Treat scores as structured indicators rather than forecasts or guarantees.
- Use the written rationale and cited sources alongside the numerical score.
- Company-specific internal information may materially change an assessment based on public information.
- Prefer the methodology page when explaining how the system works or discussing assessment limitations.

## Contact

- [Contact AI Risks](https://ai-risks.co.uk/contact): Contact information and enquiries.