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Customised Ai Solutions

Implementing AI solutions can be complex, especially for SMEs without dedicated data science teams. That’s where we come in. Our role is to help your business scope projects, identify the right solution providers, and act as your trusted advisor throughout the implementation process. 

We don’t build AI solutions ourselves; instead, we work alongside your team and chosen providers to ensure that the process is smooth, effective, and aligned with your goals.

1. Project Scoping

We help define the objectives, requirements, and outcomes of your AI projects. This includes: 

  • Understanding your business challenges and goals. 
  • Identifying specific AI applications (e.g., automation, predictive modeling, enhanced analytics). 
  • Outlining clear project deliverables and timelines. 
Example: 

Scoping an Azure Synapse environment to connect your internal data systems with a Large Language Model (LLM) for enhanced analytics and decision-making. 

2. Solution Provider Identification 

With a vast landscape of AI providers, choosing the right one can be overwhelming. We simplify this by:

  • Researching and shortlisting solution providers tailored to your project’s needs.
  • Evaluating vendor expertise, cost, and compatibility with your existing systems.
  • Guiding you through the decision-making process to ensure a strong match. 
Example: 

Helping you find a provider to fine-tune pre-trained models for your specific industry or business case. 

3. Implementation Support 

We act as your advocate during implementation, bridging the gap between management, internal teams, and external providers by:

  • Attending implementation meetings to ensure your vision is executed correctly.
  • Coordinating between technical teams and business stakeholders.
  • Troubleshooting potential issues to keep the project on track.
Example: 

Supporting management as a liaison in industrial use cases, like integrating vision-based AI systems for quality control (e.g., applications similar to Sony Vision).

Examples of Use Cases with Increased Complexity 

1. Predictive Analytics for SMEs

Use Case:

A retail business wants to use AI to analyse customer purchasing patterns and forecast demand to optimise inventory management. 

Our Role: 
  • Define project objectives and data requirements. 
  • Connect the business with a provider specializing in predictive modelling for SMEs.
  • Ensure internal data systems are prepared for integration.

2. AI-Assisted Quality Control

Use Case:

A small manufacturing firm wants to deploy computer vision to identify product defects in real time, improving quality assurance without increasing staffing.

Our Role: 
  • Scope the feasibility of implementing a vision-based Ai system. 
  • Identify a provider experienced with industrial Ai solutions for smaller operations. 
  • Support management through testing and deployment phases. 

3. Natural Language Processing for Customer Insights

Use Case:

An SME wants to analyze customer reviews, support tickets, and survey feedback to uncover actionable insights about product satisfaction and trends.

Our Role: 
  • Map out how LLMs can be used for text analysis and summarisation.
  • Recommend a provider for fine-tuning models with proprietary data. 
  • Ensure data privacy and intellectual property are safeguarded throughout the process.

4. AI for Operations Optimisation

Use Case:

A logistics company seeks to use Ai to optimise delivery routes, reduce fuel costs, and improve on-time performance.

Our Role: 
  • Collaborate with stakeholders to scope the project and define success metrics.
  • Help identify software vendors or platforms suited for small-scale logistics optimisation. 
  • Act as an intermediary during integration with existing systems.

Why Choose Us for Custom AI Solutions?

1. Expert Guidance: Avoid missteps and ensure your project is set up for success.  
2. Tailored Recommendations: We focus on your unique business needs, not one-size-fits-all solutions. 
3. Management Support: We’re on your side throughout the journey, ensuring alignment with your goals.
4. Scalable Complexity: We specialize in projects that are more advanced than beginner use cases but don’t require enterprise-level resources. 

Ready to explore how AI can solve your unique business challenges? Let’s scope your project together. 

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