Identification of Opportunities
AI opportunities are everywhere, but they are not all created equally. Time and money can be burned in chasing pointless experiments.
What are the high value use cases?
Are they offering competitive advantage?
What if you do nothing right now?
Codification for Agentic AI
Each company has it's own unique, valuable workflows. Your workflows plus AI delivers real value.
Capture your unique workflows
Make them scalable
Drive your AI adoption
AI Readiness
Make sure your business is ready for AI. Short terms decisions will have long term impacts.
Make sure it's the right time for AI
Cross-department view
Regulations and Governance view
The Four Key Questions We Answer
Is it a good business idea?
We evaluate potential ROI, strategic alignment, and business impact
Technically, can you do it?
We assess technical feasibility, integration requirements, and implementation complexity
Legally, can you do it?
We review data policies, contracts, and regulatory compliance
Ethically, should you do it?
We evaluate ethical implications, bias potential, and alignment with your values
The Codification Process
How we transform your business knowledge into intelligent, automated workflows
Define
Functional supply chain definition
Supply chain assessment
Design
Input requirements
Output creation and reuse
Develop
Prototype and validate
Team and Peer review
Deploy
Deployment
Optimisation & enhancement
Human Oversight and Validation
Each stage of the process includes quality assurance and validation checks to ensure outputs are on-brand and compliant with AI and data legislation. We believe in AI that augments human expertise, not replaces it.
Detailed Codification Process
Functional Supply Chain Definition
Understand the stages within the business function. Map out key dependencies, inputs and outputs for each stage.
Supply Chain Assessment
Review which stages of the supply chain can be codified and align to the AI readiness assessment.
Input Requirements
Outline the required inputs and if these exist within the business. If not available, use supporting inputs and create summarized inputs using AI.
Output Creation and Reuse
Outline required outputs, who they are for, and where they will be reused in the codified supply chain.
Prototype and Validate
Create the codified agents and test the outputs. Validate the outputs for accuracy and compliance.
Team and Peer Review
Review outputs with the wider team and enhance further with gaps, inaccuracies, or further insight to improve the agent.
Deployment
Build the codified agents in sequence using the correct inputs and connecting the outputs to the right stages in the codified process.
Optimization & Enhancement
Review and validate the outputs over time to ensure these are in line with brand, business, customer, and compliance requirements.
AI Readiness Assessment
Before diving into implementation, we help you assess your organization's readiness for AI adoption. This includes reviewing your existing policies, strategies, and technical infrastructure.
AI Policy & Ethics Review
AI Business Strategy Review
Current AI Technology and Systems Review
Technical and Security Review
Legal and Compliance Review
What You'll Receive
Comprehensive Assessment Report
Detailed analysis of your organization's AI readiness with specific recommendations
Opportunity Heatmap
Visual representation of AI opportunities across your organization
Implementation Roadmap
Phased approach to implementing AI solutions based on your readiness and priorities
Executive Presentation
Clear, concise presentation of findings and recommendations for your leadership team