What We Do

Understanding the AI/ML landscape and how it applies to your business is complex. We know that. We seek to demystify the tools, options and current methods that can help you - be that by increasing efficiency, decreasing cost, or developing completely bespoke models to achieve complex business goals and capability. We at COOPER CONSULT help leadership teams move from ambition to action, defining a clear path for AI adoption that aligns with your organization's strategic objectives. We work with you across seven core areas:

1. What To Do

Working out how to use AI/ML in your business is hard. We get that. We work to determine where it will be most impactful for you. We seek to develop a roadmap for adoption, with clear milestones - demystifying the path forward. We achieve this through:

  • Current-state assessment of business integration, data maturity, tooling & team capabilities
  • Definition of AI-driven goals and impact areas (revenue growth, cost reduction, risk mitigation)
  • Roadmap development with milestones, KPIs and investment cases

2. What Tools to Use

ChatGPT, Google Gemini, Anthropic, Grok, DeepSeek -- there are so many providers. So many models. So many options. We work with you to determine which providers, models and usecases will benefit your business. We provide:

  • Landscape overview of ChatGPT, Google Gemini, Anthropic, Grok and integration considerations
  • Data security, access, storage and operating cost planning
  • Use-case identification (customer support, knowledge-base, executive dashboards)
  • Proof-of-concepts: prompt engineering, RAG pipelines, fine-tuning vs. embedding stacks
  • Vendor evaluation and total-cost-of-ownership analysis (OpenAI, Anthropic, Azure/AWS)

3. What Data To Use

Each business is different. Each businesses data is different. We work with you to determine what data you have - and how it can be used to get the best out of AI/ML. We provide a comprehensive evaluation and assessment encompassing:

  • Data landscape & storage design: lakes, warehouses, metadata, lineage & security
  • Ingestion pipelines (batch vs. streaming) with governance for quality, privacy & security
  • Scalability planning: cloud vs. on-premises vs. hybrid to meet growing AI/ML needs

4. Custom AI/ML Development

Sometimes you need something a little special. Maybe you want to know what inventory to stock? Maybe you want to understand your customers better? Maybe you want to ask questions and get answers from your own documents? We work with you to define, design and develop custom solutions - where market providers fall short. We do this by:

  • Bespoke model development and advanced analytics tailored to your business
  • Inventory management, customer segmentation & growth models
  • Custom chatbot solutions and in-house ChatGPT implementations

5. Ongoing and Increasing Use

So I have a solution - now what? We work with you to understand how best to continually use, develop and keep your solutions closely integrated with your business. We provide ongoing support, advice and a pathway to continued performance and success via:

  • Continuous integration and continuous delivery for AI/ML via containerization, orchestration & reproducible pipelines
  • Scaling as business needs and data grows, through distributed training and inference strategies.
  • Monitoring & maintenance: drift detection, retraining triggers & performance SLAs

6. AI Governance, Ethics and Risk

Is your data special? Does your data and AI/ML pipeline need additional safeguards, protections and considerations that are bespoke? We work with you to understand how it is stored, transmitted and treated - as well as the requirements inherent in your sector (identifying information, intellectural property, personal data). We achieve this by:

  • Ethics frameworks, bias mitigation & regulatory compliance advice
  • Risk assessment: model explainability, security hardening & HR usage policies
  • Audit trails, documentation & board-level governance dashboards

7. Talent Acquisition & Capability

Finding the right people is hard. Assessing them is harder. We provide bespoke hiring guidance, interview frameworks and learning pathways to expand, train and retain your workforce in AI/ML. We achieve this by:

  • Hiring playbooks: defining roles, skill sets & domain expertise for AI/ML talent
  • Interview frameworks: technical assessments, system-design exercises & behavioural screening
  • Learning pathways and upskilling programs for inhouse data scientists and engineers