Accelerating Your AI Ambition
Your Partner in Intelligent, Ethical AI Delivery
Unlock the Value of AI Wherever You Are on the Journey
At Qubit Advisory, we understand that every organisation is at a different point in their AI journey. Whether you’re just starting out, validating concepts, or scaling enterprise-wide AI solutions, our engagement model is designed to meet you where you are.
We offer a modular, flexible approach that allows you to engage with us at any of the four core stages: Discover, Design, Scale or Optimise, based on your needs, internal capabilities, and AI maturity.
Our Client-Centric Engagement Model
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Discover & Align
Set the vision and assess readiness
Timeframe: 2–4 weeks
We partner with your leadership team to shape a clear AI vision, align it to business goals, and assess current capability, data readiness, and regulatory posture (including CPS 230). This phase builds the foundation for informed decision-making and sustainable outcomes.
What we deliver:
• Strategy and alignment workshops
• AI readiness and capability assessment
• Priority use case identification
• CPS 230 compliance mapping and guardrails
Best for:
Organisations new to AI or revisiting their digital strategy.
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Design & Pilot
Test high-value use cases at speed
Timeframe: 4–8 weeks
We co-design targeted solutions, deliver proof-of-value pilots, and lay the groundwork across data, platforms, and people. This is where ideas are tested, value is proven, and delivery confidence is built.
What we deliver:
• Use case design and PoV or MVP delivery
• Data and platform readiness
• Responsible AI frameworks
• Change readiness and stakeholder engagement
Best for:
Organisations with clear opportunities that want to de-risk before scaling.
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Scale & Embed
Operationalise AI across business
Timeframe: 8–16+ weeks
We transition validated pilots into production-grade solutions. AI becomes part of business-as-usual, supported by integrated systems, skilled teams, and structured operating models that are built to scale.
What we deliver:
• Scalable AI solution design and build
• Integration with business processes and platforms
• AI operations, performance monitoring, and retraining
• Uplift of internal capability or managed support models
Best for:
Organisations scaling AI into business-critical environments.
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Optimise & Evolve
Drive maturity, ROI, and resilience
Timeframe: 6 week sprints
With AI in production, we focus on fine-tuning performance, uplifting internal capability, and ensuring continued alignment with business, regulatory, and risk needs. This is about making AI sustainable and future ready.
What we deliver:
• Model and pipeline performance reviews
• MLOps uplift, automation, and monitoring
• Data drift detection and model retraining
• CoE setup or optimisation and capability uplift
Best for:
Organisations with live AI looking to mature capability, improve ROI, and stay compliant.
At Qubit Advisory we can provide a flexible blend of onshore and offshore consultants to help accelerate your AI journey
Planning & Leadership
AI Consultant
Helps you figure out where AI can deliver value. Creates plans and guides your business through your AI journey.
AI/ML Product Manager
Coordinates teams to deliver AI tools that work. Sets goals, defines features and ensures your AI projects stay on track.
AI Architect
Designs how your AI system will work within your company’s existing tools and data setup. Makes sure it’s secure, reliable and efficient.
AI Ethics Specialist
Checks that your AI is fair, transparent and follows ethical and legal rules. Helps avoid bias and builds trust in your systems.
Build & Implementation
Machine Learning Engineer
Creates and trains AI models, then puts them into use. Focuses on making systems that are reliable and ready to scale.
Data Scientist
Finds patterns in your data using statistics and AI. Helps you make better business decisions using insights from data.
Data Engineer
Builds the systems that move and organise your data so it’s ready for analysis and AI use.
NLP Engineer
Develops AI that understands human language, like in chatbots, search engines or document summaries.
Prompt Engineer
Improves how large language models like ChatGPT respond by writing and testing better prompts and instructions.
Computer Vision Engineer
Creates AI that understands images and video. Used for things like face recognition, object tracking and safety monitoring.
AI Research Scientist
Tests out new AI ideas and helps build early versions of advanced tools. Good for businesses exploring cutting-edge tech.
AI Software Engineer
Builds apps and platforms that use AI. Connects the models to the rest of your systems and makes sure everything works smoothly.
Operations & Support
AIOps Engineer
Uses AI to help your IT team run more smoothly by spotting issues early, fixing them faster and reducing system downtime.
AI User Adoption Specialist
Helps your team learn and use AI tools properly. Provides training, support and change management to encourage adoption.