AI is rapidly changing construction and home improvement industries by streamlining operations, improving customer satisfaction, and boosting productivity. AI enables firms to automate complex processes, manage projects more effectively, and deliver personalised customer experiences.
The construction and home improvement sectors are process-heavy and data-rich, making them well-suited for AI-driven transformation. AI can handle customer inquiries, project scheduling, supply chain management, cost estimation, and more — all while reducing human error and improving efficiency.
AI can automate administrative tasks during project management, as well as scheduling, resource allocation, and much more, ensuring projects stay on track and within budget. It helps identify bottlenecks and optimises resource deployment in real-time.
AI Agents can handle customer inquiries, schedule appointments, and provide product recommendations. This improves customer satisfaction and reduces staff workload.
Automating routine inbound and outbound phone calls and interactions with Conversational AI can reduce operational costs, increase productivity, and free up teams for more complex tasks. Conversational AI is reshaping how companies interact with their customers, making every interaction efficient, effective, and responsive.
We often rapidly develop a prototype to validate the effectiveness of the technology for a specific task. The PoC demonstrates real-world feasibility while minimising cost and delivery risk. A typical deliverable is a basic AI agent addressing one core use case.
Indicative timeline: ~2 weeks
Once validated, the PoC is developed into a fully functional solution and then deployed as a beta version, gathering data and feedback for further improvements. Key features are expanded functionality for broader use cases, performance monitoring and reporting tools and integration with your existing platforms.
Indicative timeline: ~6 weeks
After the beta phase, we then fold in iterative learnings and perform the full release, including addressing the impact on team members with training and documentation. At this point, the agent is ready to scale to meet your operational demands. This phase includes advanced optimisations, features, and the capacity to handle higher volumes and complexity.
Indicative timeline: dependant on you
MCP for enterprises isn’t just a protocol; it’s a blueprint for a new kind of
Overview and Key Themes January 2025 brought a wave of new AI announcements from both
Take three simple steps to start deploying AI in your business.
① Book an exploratory meeting
② Agree a proposal
③ Design & build your AI implementation
