Generative AI
Unlock Unimagined Possibilities with the Generative AI Innovation Centre
What is Generative AI and What is all the Hype About?
In today’s fast-paced business environment, staying ahead of the competition requires leveraging the latest technological advancements. Generative AI, a subset of artificial intelligence, has emerged as a game-changing technology that can drive efficiency, innovation, and strategic growth. At , we specialise in helping businesses harness the power of generative AI to transform their operations and achieve remarkable results.
Generative AI technology is capable of autonomously creating new content such as text, data insights, reports, images, and music. Its “generative” capability signifies an ability to produce original, high-quality outputs that emulate human understanding and creativity. This technology optimises content creation, data analysis, compliance reviews, audit and other tasks by generating vast amounts of data efficiently but also enhanced analytical processes using powerful computational abilities.
Generative AI’s analytical capabilities allow for in-depth data analysis, pattern recognition, and predictive modelling, providing insights that drive smarter decision-making and strategic planning. By leveraging generative AI, businesses can achieve unparalleled efficiency, innovation, and competitive advantage.
Services
How Can Help your Business?
To maximise the benefits of Generative AI, organisations must help employees adopt and utilise new tools responsibly and safely. Additionally, designing a future-proof organisation that addresses the talent challenges posed by Generative AI is crucial.
We offer a range of Generative AI services to help businesses leverage the power of AI to drive innovation and growth. From developing custom AI models to integrating world-class models into existing business processes, helps organisations unlock the full potential of Generative AI.
Explore how can help your business transform with Generative AI, driving efficiency, innovation, and competitive advantage.
Companies of all sizes already using Generative Al
Enterprise-grade security & Privacy
Organisations of all sizes are leveraging large language models (LLMs) and foundation models (FMs) to create generative AI applications that transform customer and employee experiences. At , we provide enterprise-grade security and privacy, access to industry-leading FMs, and generative AI-powered applications. Our expertise ensures that you can easily build and scale generative AI solutions tailored to your data, specific use cases, and customer needs. Partner with us to unlock the full potential of generative AI for your business.
Understand the Use Cases and How We Can Help You
Why Adopt Generative AI?
Organisations looking to adopt generative AI should consider it as a strategic investment in their future. Generative AI can automate complex tasks, provide deep insights, and enhance decision-making processes. To get started with generative AI, businesses should:
- Assess Readiness: Evaluate the current technological infrastructure and data readiness. Ensure that there is sufficient high-quality data to train AI models.
- Define Objectives: Clearly define the business goals and objectives that generative AI will support. This helps in selecting the right AI tools and applications.
- Start Small: Begin with pilot projects to demonstrate the value of generative AI. This approach helps in understanding the technology and refining its application before scaling.
- Partner with Experts: Collaborate with AI specialists who can provide the necessary expertise and guidance throughout the adoption process.
Understand Contractual Terms and Mitigating Risks
It is crucial for businesses to fully understand the contractual terms of complex generative AI service agreements. This ensures that they can leverage the value of AI while mitigating associated risks. Key considerations include:
- Contract Clarity: Ensure that the contract clearly defines the scope of AI services, performance metrics, and deliverables.
- Data Privacy and Security: Address data privacy and security concerns by ensuring compliance with relevant regulations and implementing robust data protection measures.
- Intellectual Property: Understand who owns the intellectual property generated by the AI, including any insights, data, and AI models.
- Risk Management: Include clauses that address potential risks such as algorithmic bias, system failures, and liability for errors.
- Service Levels: Establish clear service level agreements (SLAs) that outline the expected performance and reliability of the AI services.
Wide Range of Applications
Generative AI has diverse applications across various industries, providing customised, high-impact solutions that support strategic business objectives.
1. Audit and Compliance Audits
Generative AI enhances the audit process by automating repetitive tasks, analysing vast datasets for anomalies, and improving the accuracy of audits. In compliance audits, AI helps organisations understand and adhere to evolving regulatory requirements.
- Automating Routine Tasks: AI can automate data entry, transaction matching, and report generation, reducing time and minimising human error.
- Anomaly Detection: AI can identify unusual patterns and potential fraud by analysing large volumes of financial data.
- Regulatory Compliance: AI can interpret complex regulatory documents, ensuring organisations remain compliant with current laws and regulations.
2. Commercial Contract Reviews
Generative AI streamlines the contract lifecycle management (CLM) process, from drafting and analysing contracts to identifying risks and facilitating negotiations.
- Contract Creation: AI systems can draft contracts tailored to specific business needs by learning from existing contracts, saving time and reducing errors.
- Risk Assessment: AI can analyse contracts to identify unfavourable terms and predict risks based on historical data, allowing proactive issue resolution.
- Cost Modelling and Invoicing: AI can model costs associated with contracts and review invoicing from clients or service providers, ensuring accurate billing and moderating invoices to align with contractual terms.
3. Financial Services
Generative AI aids in fraud detection in banking, accounting and financial services, it can support with regulatory compliance for example, SOXA, and the Dodd-Frank Act in the US, and optimising investment strategies. It automates the analysis of transaction patterns to detect anomalies and ensures regulatory compliance.
4. Healthcare
AI-driven tools enhance diagnostic accuracy and personalise patient care plans by generating synthetic medical data and analysing patient records.
5. Manufacturing
AI helps design innovative products, improve quality control by identifying defects, and implement predictive maintenance strategies to reduce downtime.
6. Retail
Generative AI personalises shopping experiences through tailored product recommendations, optimises supply chains by predicting demand, and enhances marketing strategies with AI-generated content.
Case Study
Generative AI for Assuring and Reporting on Local Building Control Standards
Overview
At , we have developed an innovative solution leveraging generative AI to ensure compliance with local building control standards using design information from Building Information Modeling (BIM) models and engineering teams. This case study highlights how our AI-driven approach automates compliance reporting, defect detection, and clash detection, transforming the building assurance process.
The Challenge
A leading international organisation in the construction industry faced significant challenges in maintaining compliance with local building control standards for its various infrastructure projects. The manual processes involved in verifying compliance, detecting design defects, and identifying clashes were time-consuming, error-prone, and resource-intensive. The firm sought an automated solution to streamline these processes, enhance accuracy, and reduce operational costs.
The Solution
implemented a generative AI solution integrated with the firm’s BIM models and engineering workflows. The AI system was designed to:
- Automate Compliance Reporting: The AI continuously analysed design information from BIM models to ensure adherence to local building control standards. It generated detailed compliance reports, highlighting areas of non-compliance and suggesting corrective actions.
- Detect Design Defects: By leveraging advanced machine learning algorithms, the AI system identified potential defects in the design phase. This proactive approach allowed the engineering team to address issues early, reducing the risk of costly rework during construction.
- Clash Detection: The AI system performed automated clash detection by analysing the BIM models and identifying conflicts between different building systems (e.g., structural, electrical, plumbing). This ensured that all components fit together seamlessly, preventing construction delays and additional costs
Implementation Process
- Data Integration: The AI system was integrated with the firm’s existing BIM models and engineering databases. This enabled seamless data flow and real-time analysis.
- Model Training: The AI was trained using historical project data, local building control standards, and defect patterns. This training enhanced the system’s accuracy in detecting non-compliance, defects, and clashes.
- Deployment and Testing: The solution was deployed in a pilot project to test its functionality and accuracy. The pilot phase allowed for fine-tuning based on real-world scenarios and feedback from the engineering team.
- Full-Scale Implementation: After successful pilot testing, the solution was rolled out across all projects, providing consistent and automated assurance of building control standards.
Results
- Enhanced Compliance: The automated compliance reporting ensured that all projects adhere to local building control standards, reducing the risk of regulatory fines and project delays.
- Improved Efficiency: The AI-driven defect and clash detection significantly reduced the time and resources required for manual inspections. The engineering team could focus on high-value tasks, improving overall productivity.
- Cost Savings: Early detection of design defects and clashes prevented costly rework and construction delays, leading to substantial cost savings for the firm.
- Accurate Reporting: The generative AI provided precise and detailed reports, enabling better decision-making and project management.
Conclusion
This case study demonstrates the transformative potential of generative AI in the construction industry. By automating compliance assurance, defect detection, and clash detection, helped the construction firm streamline operations, enhance accuracy, and achieve significant cost savings. Our innovative AI-driven approach ensures that building projects not only meet but exceed local building control standards, fostering a culture of excellence and reliability in construction.