Readiness And Transformation Roadmap
Construction AI Readiness Scorecard
The "Construction AI Readiness Scorecard" serves as a strategic tool for assessing how prepared the Construction and Infrastructure sector is to leverage artificial intelligence. This concept encapsulates a framework that evaluates organizational capabilities, technological infrastructure, and cultural readiness to adopt AI-driven solutions. In a rapidly evolving landscape, stakeholders must recognize the scorecards relevance in aligning their operational strategies with broader trends in AI transformation, thereby fostering greater efficiency and innovation. As the Construction and Infrastructure ecosystem navigates the complexities of technological adoption, the Construction AI Readiness Scorecard plays a pivotal role in reshaping competitive dynamics and enhancing stakeholder interactions. AI-driven methodologies are redefining processes, leading to improved decision-making and operational efficiencies. However, while the potential for growth is significant, organizations face challenges such as integration complexities and evolving expectations that must be addressed to fully harness the advantages offered by AI technologies.
{"page_num":5,"introduction":{"title":"Construction AI Readiness Scorecard","content":"The \" Construction AI Readiness <\/a> Scorecard\" serves as a strategic tool for assessing how prepared the Construction and Infrastructure sector is to leverage artificial intelligence. This concept encapsulates a framework that evaluates organizational capabilities, technological infrastructure, and cultural readiness <\/a> to adopt AI-driven solutions. In a rapidly evolving landscape, stakeholders must recognize the scorecards relevance in aligning their operational strategies with broader trends in AI transformation <\/a>, thereby fostering greater efficiency and innovation.\n\nAs the Construction and Infrastructure ecosystem navigates the complexities of technological adoption, the Construction AI Readiness Scorecard <\/a> plays a pivotal role in reshaping competitive dynamics and enhancing stakeholder interactions. AI-driven methodologies are redefining processes, leading to improved decision-making and operational efficiencies. However, while the potential for growth is significant, organizations face challenges such as integration complexities and evolving expectations that must be addressed to fully harness the advantages offered by AI technologies.","search_term":"Construction AI Readiness Scorecard"},"description":{"title":"How is the Construction AI Readiness Scorecard Transforming the Industry?","content":"The Construction and Infrastructure sector is undergoing a seismic shift as AI technologies redefine project management, operational efficiency, and safety protocols. Key growth drivers include the integration of predictive analytics, automation in project workflows, and enhanced data-driven decision-making, all of which are crucial for meeting evolving market demands."},"action_to_take":{"title":"Accelerate Your AI Transformation in Construction","content":"Construction and Infrastructure companies should strategically invest in partnerships that harness the power of AI to optimize project management and resource allocation. By implementing AI solutions, organizations can expect significant improvements in operational efficiency, reduced costs, and enhanced competitive advantages in the marketplace.","primary_action":"Download the Transformation Roadmap Template","secondary_action":"Take the AI Readiness Assessment"},"implementation_framework":[{"title":"Assess Current Capabilities","subtitle":"Evaluate existing AI infrastructure and skills","descriptive_text":"Conducting an assessment of current AI capabilities <\/a> is vital for identifying gaps and strengths in your organization. This evaluation helps prioritize AI initiatives <\/a> and aligns them with business objectives, enhancing operational efficiency.","source":"Industry Standards","type":"dynamic","url":"https:\/\/www.constructiondive.com\/news\/how-ai-is-shaping-the-future-of-construction\/603975\/","reason":"Understanding existing capabilities enables targeted AI adoption that drives innovation and improves project outcomes."},{"title":"Develop AI Strategy","subtitle":"Create a roadmap for AI implementation","descriptive_text":"Formulating a clear AI strategy <\/a> involves outlining specific goals, technologies, and processes necessary for successful implementation. A well-defined roadmap helps in resource allocation, ensuring effective integration of AI into construction <\/a> workflows.","source":"Technology Partners","type":"dynamic","url":"https:\/\/www.forbes.com\/sites\/bernardmarr\/2021\/10\/18\/10-amazing-examples-of-how-ai-is-used-in-the-construction-industry\/?sh=7d2b3a9d76a1","reason":"A robust strategy allows organizations to harness AI effectively, leading to enhanced productivity and competitive advantage in the construction sector."},{"title":"Invest in Training","subtitle":"Upskill workforce for AI technologies","descriptive_text":"Investing in training programs for employees is essential to bridge the skills gap and promote AI adoption <\/a>. By equipping your workforce with necessary AI <\/a> competencies, you enhance collaboration and innovation in construction <\/a> projects.","source":"Internal R&D","type":"dynamic","url":"https:\/\/www.mckinsey.com\/industries\/construction\/our-insights\/how-ai-is-transforming-the-construction-industry","reason":"Training ensures that employees are prepared to leverage AI tools, fostering a culture of continuous improvement and efficiency in operations."},{"title":"Pilot AI Solutions","subtitle":"Test AI applications in real projects","descriptive_text":"Implementing pilot projects to test AI solutions allows for practical evaluation of their effectiveness. This stage highlights potential challenges and showcases benefits, enabling informed decisions for broader AI deployment in construction <\/a> processes.","source":"Cloud Platform","type":"dynamic","url":"https:\/\/www.bimcommunity.com\/news\/76\/ai-in-construction-industry-how-ai-can-transformation-the-construction-industry","reason":"Piloting AI applications mitigates risks and ensures that the solutions align with organizational needs and project goals before full-scale implementation."},{"title":"Monitor and Optimize","subtitle":"Continuously assess AI performance","descriptive_text":"Establishing metrics to monitor AI performance <\/a> is crucial for ongoing optimization. Regular assessments allow organizations to refine AI applications, ensuring they meet evolving project demands and contribute to overall operational excellence in construction.","source":"Industry Standards","type":"dynamic","url":"https:\/\/www.constructionexec.com\/article\/how-ai-is-reshaping-the-construction-industry","reason":"Continuous monitoring and optimization of AI solutions enhance their effectiveness and align them with strategic objectives, ensuring sustained competitive advantage."}],"primary_functions":{"question":"What's my primary function in the company?","functions":[{"title":"Engineering","content":"I design and develop AI-driven solutions for the Construction AI Readiness Scorecard, ensuring technical feasibility and integration with existing systems. My role involves selecting appropriate AI models and driving innovation to enhance operational efficiency and project outcomes."},{"title":"Quality Assurance","content":"I ensure the Construction AI Readiness Scorecard meets high-quality standards by validating AI outputs and monitoring accuracy. I analyze data to identify quality gaps, ensuring reliability and effectiveness in our solutions, which directly boosts client satisfaction and trust."},{"title":"Operations","content":"I manage the operational deployment of the Construction AI Readiness Scorecard, optimizing workflows by leveraging AI insights. My responsibilities include maintaining system functionality and ensuring that AI implementations enhance productivity while minimizing disruptions in ongoing construction activities."},{"title":"Marketing","content":"I communicate the value of our Construction AI Readiness Scorecard to stakeholders and clients. I develop targeted campaigns that showcase our AI solutions benefits, driving engagement and adoption. My role is pivotal in positioning our company as a leader in AI-driven construction solutions."},{"title":"Research","content":"I conduct research on emerging AI technologies to enhance our Construction AI Readiness Scorecard. My analysis informs strategic decisions, helping us stay ahead in the industry. I collaborate with cross-functional teams to translate insights into actionable strategies that drive innovation and excellence."}]},"best_practices":null,"case_studies":[{"company":"Suffolk Construction","subtitle":"Implemented ALICE AI platform to analyze schedules, adjust sequencing, and optimize milestones on life sciences project.","benefits":"Recovered 42 days and eliminated negative float.","url":"https:\/\/blog.alicetechnologies.com\/case-studies","reason":"Demonstrates AI's role in schedule optimization and delay recovery, providing scalable strategies for complex construction timelines.","search_term":"Suffolk ALICE AI construction","case_study_image":"https:\/\/d1kmzxl7118mv8.cloudfront.net\/images\/construction_ai_readiness_scorecard\/case_studies\/suffolk_construction_case_study.png"},{"company":"Buildots","subtitle":"Deployed AI with 360-degree helmet cameras for real-time progress verification against BIM plans on office tower.","benefits":"Achieved up to 25% faster project completion.","url":"https:\/\/smartdev.com\/ai-use-cases-in-construction\/","reason":"Highlights AI-driven progress tracking that reduces manual reporting and enables early discrepancy detection in large projects.","search_term":"Buildots AI construction progress","case_study_image":"https:\/\/d1kmzxl7118mv8.cloudfront.net\/images\/construction_ai_readiness_scorecard\/case_studies\/buildots_case_study.png"},{"company":"Caterpillar","subtitle":"Integrated AI and IoT via Cat Product Link for predictive maintenance on construction equipment fleets.","benefits":"Reduced unplanned downtime by 30%.","url":"https:\/\/www.stackct.com\/blog\/real-life-examples-of-artificial-intelligence-in-construction\/","reason":"Shows effective predictive analytics for equipment reliability, minimizing disruptions and maintenance costs industry-wide.","search_term":"Caterpillar AI predictive maintenance","case_study_image":"https:\/\/d1kmzxl7118mv8.cloudfront.net\/images\/construction_ai_readiness_scorecard\/case_studies\/caterpillar_case_study.png"},{"company":"Shawmut Design and Construction","subtitle":"Adopted AI tool analyzing weather and personnel data for real-time safety risk assessments on job sites.","benefits":"Enabled proactive hazard mitigation measures.","url":"https:\/\/smartdev.com\/ai-use-cases-in-construction\/","reason":"Illustrates AI's proactive safety monitoring, shifting from reactive to predictive risk management in construction.","search_term":"Shawmut AI safety construction","case_study_image":"https:\/\/d1kmzxl7118mv8.cloudfront.net\/images\/construction_ai_readiness_scorecard\/case_studies\/shawmut_design_and_construction_case_study.png"}],"call_to_action":{"title":"Elevate Your Construction AI Strategy","call_to_action_text":"Seize the opportunity to enhance your project's efficiency and competitiveness. Discover how the Construction AI Readiness Scorecard <\/a> can transform your operations today.","call_to_action_button":"Take Test"},"challenges":null,"ai_initiatives":{"values":[{"question":"How prepared is your team for AI-driven project management in construction?","choices":["Not started","Pilot phase","Limited integration","Fully integrated"]},{"question":"What strategies are in place for AI adoption in safety management?","choices":["No strategy","Exploring options","Initial implementation","Fully operational"]},{"question":"How effectively is AI used for resource allocation in your projects?","choices":["Not at all","Somewhat effective","Moderately effective","Highly effective"]},{"question":"What metrics do you use to evaluate AI impact on project outcomes?","choices":["None","Basic KPIs","Advanced analytics","Comprehensive metrics"]},{"question":"How aligned is your AI strategy with overall business goals in construction?","choices":["Not aligned","Some alignment","Moderately aligned","Fully aligned"]}],"action_to_take_ai_initiatives":"Next"},"left_side_quote":[{"text":"Assess organizational, data and operating model readiness before scaling AI tools.","company":"Grant Thornton","url":"https:\/\/www.grantthornton.com\/insights\/articles\/real-estate\/2026\/ai-in-construction","reason":"Emphasizes data maturity and structural foundations critical for AI success in construction scheduling and risk management, guiding firms toward predictable project outcomes."},{"text":"AI Readiness Scorecard identifies technical gaps blocking enterprise AI integration.","company":"Jentic","url":"https:\/\/jentic.com\/blog\/press-AI-readiness-scorecard","reason":"Automates assessment of API structure and security, accelerating AI agent deployment for infrastructure operators like railways in construction-related sectors."},{"text":"AI Readiness Assessment resolves data integrity and governance challenges for AI initiatives.","company":"Precisely","url":"https:\/\/www.prnewswire.com\/news-releases\/precisely-unveils-ai-readiness-assessment-to-accelerate-path-from-concept-to-value-302477750.html","reason":"Provides roadmap for data maturity and alignment, enabling scalable AI in construction by addressing common barriers to production deployment."},{"text":"Strategic framework assesses AI readiness to build scalable foundations in construction.","company":"Novade","url":"https:\/\/www.novade.net\/en\/ai-readiness-in-construction\/","reason":"Offers executives operational blueprint for AI adoption, focusing on construction-specific readiness to enhance project efficiency and risk handling."}],"quote_1":null,"quote_2":{"text":"There is a clear belief-action gap in construction AI adoption: 74% of leaders believe AI will positively impact cost and efficiency, yet 65% are not currently using AI or predictive analytics, with only 13% likely to adopt soon.","author":"Trevor Schick, CEO of Slate Technologies","url":"https:\/\/slate.ai\/ai-construction-2025-industry-report\/","base_url":"https:\/\/slate.ai","reason":"Highlights the adoption lag in AI readiness for construction, emphasizing the need for scorecards to bridge perception and action gaps in implementation."},"quote_3":null,"quote_4":null,"quote_5":{"text":"The construction industry is ripe for AI adoption to automate processes, provide intelligent insights across fragmented value chains, and boost productivity through smart robots amid skilled labor shortages.","author":"GlobalData Thematic Research Team, AI in Construction Report","url":"https:\/\/www.worldconstructionnetwork.com\/data-insights\/top-ranked-construction-companies-in-artificial-intelligence\/","base_url":"https:\/\/www.globaldata.com","reason":"Identifies trends in AI for collaboration and productivity, significant for scorecards evaluating industry-wide readiness against labor and fragmentation challenges."},"quote_insight":{"description":"75% of construction firms cite risk management as a top reason for AI investment, driving enhanced project safety and efficiency.","source":"WifiTalents","percentage":75,"url":"https:\/\/wifitalents.com\/ai-construction-industry-statistics\/","reason":"This highlights AI's role in risk mitigation, directly tying to Construction AI Readiness Scorecard benefits by enabling higher readiness scores through proven safety gains and operational reliability in infrastructure projects."},"faq":[{"question":"What is Construction AI Readiness Scorecard and why is it important?","answer":["The Construction AI Readiness Scorecard evaluates an organizations readiness for AI adoption.","It identifies gaps in technology, skills, and processes necessary for AI integration.","Using the scorecard helps align AI strategies with business objectives effectively.","A clear understanding of readiness can expedite decision-making and resource allocation.","Companies can leverage insights from the scorecard to enhance operational efficiency and innovation."]},{"question":"How do I get started with the Construction AI Readiness Scorecard?","answer":["Begin with an assessment of your current technologies and processes in place.","Engage stakeholders to gather input on AI goals and expectations within the organization.","Identify key performance indicators that will measure AI implementation success.","Utilize the scorecard framework to prioritize actions and resources based on outcomes.","Develop a roadmap that outlines steps for gradual AI integration across projects."]},{"question":"What are the measurable benefits of using the Construction AI Readiness Scorecard?","answer":["The scorecard enables identification of potential cost savings from AI initiatives.","It helps improve project delivery times through enhanced data-driven decision-making.","Organizations can achieve better resource allocation, optimizing workforce and material use.","The framework offers insights that enhance overall project quality and safety standards.","Using the scorecard fosters a culture of continuous improvement within the organization."]},{"question":"What challenges might arise when implementing the Construction AI Readiness Scorecard?","answer":["Resistance to change can hinder the adoption of AI-based solutions within teams.","Insufficient training and skills gap among employees can slow down implementation.","Integration with legacy systems may pose significant technical hurdles during deployment.","Concerns regarding data security and privacy need to be addressed proactively.","Establishing clear communication is essential to mitigate misunderstandings and fears."]},{"question":"When is the right time to assess your AI readiness using the scorecard?","answer":["Assess readiness when planning to integrate AI into upcoming projects or initiatives.","A review is beneficial after significant organizational changes or technological upgrades.","Regular assessments help maintain alignment with evolving industry standards and benchmarks.","Conduct readiness evaluations periodically to adapt to market changes effectively.","Timing assessments prior to major investments ensures informed decision-making."]},{"question":"What are the best practices for successful AI implementation in construction?","answer":["Start with pilot projects to test AI applications before full-scale deployment.","Invest in comprehensive training programs to upskill employees effectively.","Continuously monitor and evaluate AI performance against established KPIs.","Engage cross-functional teams for diverse insights and collaborative problem-solving.","Foster an environment of innovation and adaptability to embrace ongoing AI advancements."]},{"question":"How does the Construction AI Readiness Scorecard align with industry regulations?","answer":["The scorecard includes compliance metrics that align with industry regulations and standards.","Regular assessments ensure adherence to safety and quality regulations throughout projects.","Using the scorecard can help identify potential regulatory risks in AI applications.","It facilitates proactive adjustments to maintain compliance in evolving regulatory landscapes.","Engaging legal and compliance teams early enhances the scorecard's effectiveness and reliability."]},{"question":"What sector-specific applications can benefit from the Construction AI Readiness Scorecard?","answer":["The scorecard can enhance project management efficiency in large-scale infrastructure projects.","It supports predictive maintenance in facility management for improved asset longevity.","AI-driven analytics can optimize supply chain management and logistics operations.","Safety management can be enhanced through real-time monitoring and risk assessment tools.","The framework is adaptable for various sectors, providing tailored insights and strategies."]}],"ai_use_cases":null,"roi_use_cases_list":null,"leadership_objective_list":null,"keywords":{"tag":"Construction AI Readiness Scorecard Construction and Infrastructure","values":[{"term":"AI Integration","description":"The process of incorporating artificial intelligence technologies into construction practices to enhance efficiency and decision-making.","subkeywords":null},{"term":"Machine Learning","description":"A subset of AI that enables systems to learn from data and improve their performance over time, particularly in project forecasting and risk management.","subkeywords":[{"term":"Data Training"},{"term":"Predictive Analytics"},{"term":"Algorithm Development"}]},{"term":"Digital Twins","description":"Virtual replicas of physical assets that allow for real-time monitoring and analysis, improving project outcomes and operational efficiencies.","subkeywords":null},{"term":"Predictive Maintenance","description":"Using AI to anticipate equipment failures before they occur, thereby optimizing maintenance schedules and reducing downtime.","subkeywords":[{"term":"IoT Sensors"},{"term":"Anomaly Detection"},{"term":"Failure Prediction"}]},{"term":"BIM Integration","description":"The incorporation of Building Information Modeling with AI to enhance project visualization, coordination, and management throughout the construction lifecycle.","subkeywords":null},{"term":"Robotic Process Automation","description":"Utilizing AI-driven robots to automate repetitive tasks in construction, improving productivity and reducing human error.","subkeywords":[{"term":"Task Automation"},{"term":"Cost Reduction"},{"term":"Labor Efficiency"}]},{"term":"Data-Driven Decisions","description":"Making strategic decisions based on data analysis and AI insights, leading to improved project outcomes and resource allocation.","subkeywords":null},{"term":"Smart Contracting","description":"Contracts that automatically execute, control, or document legally relevant events based on AI algorithms, enhancing transparency and compliance.","subkeywords":[{"term":"Blockchain Technology"},{"term":"Automated Compliance"},{"term":"Risk Management"}]},{"term":"AI Ethics","description":"The principles governing the responsible use of AI in construction, focusing on fairness, accountability, and transparency in decision-making processes.","subkeywords":null},{"term":"Performance Metrics","description":"Quantitative measures used to evaluate the success of AI implementations in construction projects, including efficiency gains and cost savings.","subkeywords":[{"term":"KPIs"},{"term":"ROI Analysis"},{"term":"Benchmarking"}]},{"term":"Emerging Technologies","description":"New and innovative technologies driving change in construction, such as AI, AR, and IoT, shaping future industry practices.","subkeywords":null},{"term":"Change Management","description":"Strategies and processes for managing the transition to AI-driven practices in construction, ensuring stakeholder buy-in and effective implementation.","subkeywords":[{"term":"Training Programs"},{"term":"Stakeholder Engagement"},{"term":"Cultural Shifts"}]},{"term":"Project Risk Assessment","description":"Evaluating potential risks in construction projects using AI tools to enhance planning and mitigate issues before they arise.","subkeywords":null},{"term":"Supply Chain Optimization","description":"Applying AI to streamline supply chain processes in construction, improving material delivery and inventory management.","subkeywords":[{"term":"Logistics Management"},{"term":"Supplier Relations"},{"term":"Cost Efficiency"}]}]},"call_to_action_3":{"description":"Work with Atomic Loops to architect your AI implementation roadmap from PoC to enterprise scale.","action_button":"Contact Now"},"description_memo":null,"description_frameworks":null,"description_essay":null,"pyramid_values":null,"risk_analysis":{"title":"Risk Senarios & Mitigation","values":[{"title":"Ignoring Compliance Regulations","subtitle":"Legal penalties arise; ensure regular compliance audits."},{"title":"Data Breaches from AI Systems","subtitle":"Sensitive data leaks occur; enhance cybersecurity measures."},{"title":"Bias in AI Decision-Making","subtitle":"Unfair outcomes result; implement diverse training datasets."},{"title":"Operational Disruption from AI Failures","subtitle":"Project delays happen; establish robust backup processes."}]},"checklist":null,"readiness_framework":{"title":"AI Readiness Framework","pillars":[{"pillar_name":"Data Infrastructure","description":"Data lakes, real-time analytics, BIM interoperability"},{"pillar_name":"Technology Stack","description":"Cloud computing, AI algorithms, IoT sensors"},{"pillar_name":"Workforce Capability","description":"Reskilling, digital literacy, AI training programs"},{"pillar_name":"Leadership Alignment","description":"Vision articulation, executive sponsorship, strategic roadmap"},{"pillar_name":"Change Management","description":"Stakeholder engagement, iterative feedback, adoption strategies"},{"pillar_name":"Governance & Security","description":"Data privacy, compliance frameworks, risk management"}]},"domain_data":null,"table_values":null,"graph_data_values":"https:\/\/d1kmzxl7118mv8.cloudfront.net\/graphs\/construction_ai_readiness_scorecard\/oem_tier_graph_construction_ai_readiness_scorecard_construction_and_infrastructure.png","key_innovations":null,"ai_roi_calculator":null,"roi_graph":null,"downtime_graph":null,"qa_yield_graph":null,"ai_adoption_graph":null,"maturity_graph":null,"global_graph":"https:\/\/d1kmzxl7118mv8.cloudfront.net\/graphs\/global_map_construction_ai_readiness_scorecard_construction_and_infrastructure\/construction_ai_readiness_scorecard_construction_and_infrastructure.png","yt_video":null,"webpage_images":null,"ai_assessment":null,"metadata":{"market_title":"Construction AI Readiness Scorecard","industry":"Construction and Infrastructure","tag_name":"Readiness & Transformation Roadmap","meta_description":"Unlock the potential of AI in construction with our comprehensive scorecard. Transform strategies, boost efficiency, and stay ahead in infrastructure.","meta_keywords":"Construction AI Readiness Scorecard, AI in construction, infrastructure transformation, readiness roadmap, AI implementation strategies, construction efficiency, predictive analytics"},"case_study_images":["https:\/\/d1kmzxl7118mv8.cloudfront.net\/images\/construction_ai_readiness_scorecard\/case_studies\/suffolk_construction_case_study.png","https:\/\/d1kmzxl7118mv8.cloudfront.net\/images\/construction_ai_readiness_scorecard\/case_studies\/buildots_case_study.png","https:\/\/d1kmzxl7118mv8.cloudfront.net\/images\/construction_ai_readiness_scorecard\/case_studies\/caterpillar_case_study.png","https:\/\/d1kmzxl7118mv8.cloudfront.net\/images\/construction_ai_readiness_scorecard\/case_studies\/shawmut_design_and_construction_case_study.png"],"introduction_images":["https:\/\/d1kmzxl7118mv8.cloudfront.net\/images\/construction_ai_readiness_scorecard\/construction_ai_readiness_scorecard_generated_image.png","https:\/\/d1kmzxl7118mv8.cloudfront.net\/images\/construction_ai_readiness_scorecard\/construction_ai_readiness_scorecard_generated_image_1.png"],"s3_urls":["https:\/\/atomicloops-website.s3.amazonaws.com\/graphs\/construction_ai_readiness_scorecard\/oem_tier_graph_construction_ai_readiness_scorecard_construction_and_infrastructure.png","https:\/\/atomicloops-website.s3.amazonaws.com\/graphs\/global_map_construction_ai_readiness_scorecard_construction_and_infrastructure\/construction_ai_readiness_scorecard_construction_and_infrastructure.png","https:\/\/atomicloops-website.s3.amazonaws.com\/images\/construction_ai_readiness_scorecard\/case_studies\/buildots_case_study.png","https:\/\/atomicloops-website.s3.amazonaws.com\/images\/construction_ai_readiness_scorecard\/case_studies\/caterpillar_case_study.png","https:\/\/atomicloops-website.s3.amazonaws.com\/images\/construction_ai_readiness_scorecard\/case_studies\/shawmut_design_and_construction_case_study.png","https:\/\/atomicloops-website.s3.amazonaws.com\/images\/construction_ai_readiness_scorecard\/case_studies\/suffolk_construction_case_study.png","https:\/\/atomicloops-website.s3.amazonaws.com\/images\/construction_ai_readiness_scorecard\/construction_ai_readiness_scorecard_generated_image.png","https:\/\/atomicloops-website.s3.amazonaws.com\/images\/construction_ai_readiness_scorecard\/construction_ai_readiness_scorecard_generated_image_1.png"]}