By 'companies' we mean businesses, organisations, institutions, government entities, social enterprises, charities, non-profits and community groups, etc., of any size, age and structure, operating in any sector.
AI 'Developers' or 'Producers' are companies that already develop, have decided to develop, or are planning to develop, AI models and systems - whether from scratch, using foundational AI, or by fine-tuning external models, independently or in collaboration with third parties - and aim to commercialise them.
AI 'Users' or 'Deployers' are companies that already, have decided to, or are planning to, adopt or license AI - whether through off-the-shelf solutions, AI-as-a-service, or publicly available systems - to optimise functions like HR, sales, marketing, operations, or R&D.
If any or all of those questions resonate with you, and/or you have similar questions, let us talk! Book an evaluation (up to 2 hours) where we explore your company in depth. We'll learn about your history, operations, financial goals, team, sector position, and future plans. Using this insight, we’ll conduct a detailed assessment to determine if and how AI could benefit your company. Within 5 business days, you'll receive a clear, actionable report tailored to your needs.
We charge a fee for the evaluation. That fee is credited to your first invoice, if you choose us to guide your AI transformation, meaning that you would have received the evaluation for FREE!
This program aims to create a culture of AI literacy and responsibility, and covers:
Basic AI concepts and terminology: To increase general awareness of AI’s role in the organisation.
AI ethics and responsibility: To instil a sense of ethical decision-making across teams.
Identifying and
This program aims to create a culture of AI literacy and responsibility, and covers:
Basic AI concepts and terminology: To increase general awareness of AI’s role in the organisation.
AI ethics and responsibility: To instil a sense of ethical decision-making across teams.
Identifying and reporting AI risks: At all levels, fostering an open culture of responsible AI use.
AI Regulatory Compliance Training: Equips stakeholders (legal, compliance, AI teams) with knowledge of key AI laws (EU AI Act, GDPR, OECD principles), interpretation of regulations, and practical compliance strategies.
Risk Management Workshop: Provides hands-on training for risk manage
AI Regulatory Compliance Training: Equips stakeholders (legal, compliance, AI teams) with knowledge of key AI laws (EU AI Act, GDPR, OECD principles), interpretation of regulations, and practical compliance strategies.
Risk Management Workshop: Provides hands-on training for risk management in AI, covering bias, data security, and unintended consequences, along with frameworks and techniques for effective risk mitigation.
AI Data Governance & Privacy Training: Focuses on responsible data management, compliance with privacy laws (GDPR, CCPA), and data protection techniques like anonymization, encryption, and consent management for AI systems.
A specialised program for C-suite executives, board members, and governance leaders, focusing on:
Ethical AI decision-making: Frameworks for leadership to ensure ethical oversight.
Establishing AI governance structures: At the organisational level.
Scenario-based workshops: On handling A
A specialised program for C-suite executives, board members, and governance leaders, focusing on:
Ethical AI decision-making: Frameworks for leadership to ensure ethical oversight.
Establishing AI governance structures: At the organisational level.
Scenario-based workshops: On handling AI-related ethical dilemmas and governance challenges.
We focus on developing a compliant and practical strategy for deploying AI effectively within existing workflows:-
Strategy development workshops to align AI deployment goals with organisational objectives and compliance requirements.
Tailored action plan for operationalising AI systems within business workflows, en
We focus on developing a compliant and practical strategy for deploying AI effectively within existing workflows:-
Strategy development workshops to align AI deployment goals with organisational objectives and compliance requirements.
Tailored action plan for operationalising AI systems within business workflows, ensuring smooth integration with minimal disruption.
Change management consulting to support the organisation in adapting to AI-driven processes and technologies.
We provide continuous support to ensure the AI systems deployed remain trustworthy and aligned with evolving standards:-
Cultural readiness assessment and support for organisational changes, ensuring teams are prepared for AI integration.
Employee training and upskilling programs to align skills with new AI-driven w
We provide continuous support to ensure the AI systems deployed remain trustworthy and aligned with evolving standards:-
Cultural readiness assessment and support for organisational changes, ensuring teams are prepared for AI integration.
Employee training and upskilling programs to align skills with new AI-driven workflows.
Continuous monitoring and audits to ensure AI systems remain compliant, trustworthy, and efficient, adapting to new regulations or business needs over time.
We assist AI deployers in evaluating the effectiveness and financial impact of their deployed AI systems:-
AI performance analysis to measure the real-world effectiveness of AI systems, identifying gaps in performance, accuracy, or efficiency.
ROI analysis and optimisation to assess how the deployed AI is contributin
We assist AI deployers in evaluating the effectiveness and financial impact of their deployed AI systems:-
AI performance analysis to measure the real-world effectiveness of AI systems, identifying gaps in performance, accuracy, or efficiency.
ROI analysis and optimisation to assess how the deployed AI is contributing to business value and where improvements are needed.
Collaboration with AI developers to ensure necessary updates or improvements are made to the AI models and systems based on deployment feedback.
We help businesses craft AI strategies that drive innovation while ensuring regulatory compliance:-
AI strategy: Aligned with regulatory, ethical, and governance standards.
Regulatory forecasting: To anticipate changes and future-proof AI systems.
Advisory for responsible AI development: Embedding ethics and governance from design to deployment.
We manage AI algorithm risks and ensure ethical, accountable, transparent, and explainable AI design:-
Algorithmic Risk Assessment & Transparency Audits: Evaluating risks around bias, fairness, safety, and model interpretability to meet regulatory standards.
Ethical AI Design Guidance: Integrating fairness, tra
We manage AI algorithm risks and ensure ethical, accountable, transparent, and explainable AI design:-
Algorithmic Risk Assessment & Transparency Audits: Evaluating risks around bias, fairness, safety, and model interpretability to meet regulatory standards.
Ethical AI Design Guidance: Integrating fairness, transparency, and accountability into AI development.
Ongoing Algorithm Monitoring: Continuously assessing performance and compliance, especially in dynamic or self-learning systems.
AI Risk Management: Comprehensive AI risk management, including AI inventory assessments, impact assessments (e.g., data protection, privacy), and tools for tracking, monitoring, and reporting AI-related risks.
AI Regulatory Compliance Advisory: Guidance on understanding and complying w
AI Risk Management: Comprehensive AI risk management, including AI inventory assessments, impact assessments (e.g., data protection, privacy), and tools for tracking, monitoring, and reporting AI-related risks.
AI Regulatory Compliance Advisory: Guidance on understanding and complying with AI regulations (e.g., EU AI Act, GDPR), including regulatory mapping, compliance audits, and gap analysis to identify and address areas of non-compliance.
AI Governance & Data Privacy: Support for AI governance and data compliance through industry-standard frameworks (e.g., ISO, NIST), ethics committees, transparency tools, and privacy assessments, ensuring responsible data use and lifecycle management aligned with regulations.
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