Innovate and automate with AI in Low Code to gain insights from your data and automate mundane tasks.

AI is not just a buzzword anymore. It is a powerful technology that is transforming every industry and sector, from healthcare to manufacturing, from retail to education, from finance to agriculture

AI is enabling organisations to:

• Solve complex problems
• Enhance productivity
• Reduce costs
• Improve customer satisfaction
• Create new opportunities for growth and innovation

The challenges of developing and deploying AI solutions in-house:

• Developing and deploying AI solutions can be time-consuming
• Costly or expensive
• Risky and lack of governance

Leverage AI without the hassle and complexity of building it from scratch with Low Code.

Low Code allows users to create applications and workflows using visual interfaces and drag-and-drop components, instead of writing code. Low Code simplifies and accelerates the development process, while lowering the barriers to entry and increasing the agility and scalability of the solutions.

By combining AI and Low Code, organisations can access the benefits of both technologies:

• Use pre-built AI models and services to infuse intelligence into applications and processes.
• Customise and train your own AI models using Low Code tools and framework.
• Use Low Code to integrate AI with other data sources and systems, creating end-to-end solutions that meet their specific needs and goals.

Innovate with AI in the Low Code to gain insights from your data and automate mundane tasks, with AI and Low Code you can:

• Analyse your data using natural language processing, computer vision, speech recognition, and sentiment analysis.
• Automate your workflows using robotic process automation, chatbots, conversational AI, and cognitive services.
• Predict your outcomes using machine learning, deep learning, and anomaly detection.
• Optimise your performance using reinforcement learning, optimisation, and simulation.
• Monitor your results using dashboards, reports, and alerts.

OUR APPROACH

The professional managed project will be fully documented and delivered in four coordinated and unified phases:

Phase 1: Assess & Planning

• Assess the business problems need solving, dive deep, and identify candidates for the solution.
• Gathering of high-level architectural requirements and exploration of relevant modernisation concepts & patterns in Power Platform and Microsoft Azure

Phase 2: Development of Solution Architecture

• Develop documentation and proposed solution architecture
• Documentation to outline the architecture, including proposed Power Platform and Microsoft Azure environments and resources, CI/CD strategy and monitoring.

Phase 3: Implementation & Integration

• Develop the proposed solution based on the solution architecture design document.
• Integrate with internal/third party solution as required.

Phase 4: Validation, sign-off and handover

• Participate and support in User Acceptance Testing (UAT) and conduct training and handover sessions as needed.