Turn Strategy Into Working Systems
Once you're AI-ready (Stage 1), it's time to build. Stage 2 is where strategy becomes reality:
- Private & secure: Your data never leaves your control
- Compliant by design: Built to meet your regulatory requirements
- Tailored to your business: Not one-size-fits-all solutions
- Vendor-independent: We recommend what's best for you, not what pays us
- Human oversight built-in: AI assists, humans decide
We design, build, and deploy AI systems that solve real business problems while staying secure and compliant.
Typical Timeline
6-12 weeks
Per system or use case
Prerequisites
Completion of Stage 1 (Get AI-Ready) or equivalent governance and policy foundations in place
What's Included in Stage 2
Solution Architecture
Design private, secure AI systems that protect your data and meet compliance requirements:
- • Requirements gathering & scoping
- • Architecture design & planning
- • Security & privacy controls
- • Infrastructure selection
- • Deployment strategy
- • Scalability planning
- • Documentation & diagrams
System Prompt Engineering
Configure AI to work exactly how your business needs it:
- • Behaviour & tone definition
- • Task-specific instructions
- • Safety & guardrails
- • Output formatting rules
- • Error handling protocols
- • Testing & refinement
- • Version control & documentation
RAG Implementation
Connect AI to your knowledge base for context-aware, accurate responses:
- • Knowledge base setup
- • Document ingestion & chunking
- • Vector database configuration
- • Retrieval strategy design
- • Context integration
- • Accuracy testing & tuning
- • Update & refresh workflows
Tool Integration
Link AI to your systems via MCP servers, APIs, and custom integrations:
- • MCP server development
- • API integration & authentication
- • Custom tool creation
- • Workflow automation
- • Data transformation
- • Error handling & retries
- • Performance optimisation
Human-in-the-Loop Workflows
Build approval workflows and oversight checkpoints:
- • Approval workflow design
- • Review interfaces & dashboards
- • Escalation protocols
- • Confidence thresholds
- • Audit trail implementation
- • Feedback loops
- • Role-based access control
Testing & Validation
Comprehensive testing before go-live:
- • Unit & integration testing
- • Security testing
- • Performance benchmarking
- • User acceptance testing
- • Edge case validation
- • Compliance verification
- • Load testing
Common AI Systems We Build
Intelligent Document Processing
Extract, classify, and process information from documents at scale:
- • Contract analysis & extraction
- • Invoice processing
- • Email triage & routing
- • Form data capture
- • Document classification
Knowledge Management Systems
Make your organisation's knowledge instantly accessible:
- • Internal knowledge bases
- • Customer support bots
- • Technical documentation search
- • Policy & procedure lookup
- • Training material Q&A
Content Generation & Analysis
Create, review, and refine content with AI assistance:
- • Report generation
- • Content summarisation
- • Marketing copy drafting
- • Code review & generation
- • Sentiment analysis
Decision Support Systems
AI-powered recommendations with human oversight:
- • Risk scoring & assessment
- • Opportunity identification
- • Predictive analytics
- • Resource allocation
- • Priority scoring
How We Build Together
Discovery & Requirements
We start by understanding your use case, success criteria, technical constraints, and compliance requirements. This ensures we build the right solution from day one.
Design & Prototyping
We design the architecture, create prototypes, and validate the approach with key stakeholders. You'll see and test the system before full implementation.
Development & Configuration
We build the system, integrate with your existing infrastructure, configure prompts, implement RAG, and set up human-in-the-loop workflows. You'll receive regular progress updates.
Testing & Refinement
Comprehensive testing across functionality, security, performance, and compliance. We refine based on feedback and edge cases discovered during testing.
Deployment & Training
We deploy to production, train your team on usage, and provide comprehensive documentation. You'll have everything needed to operate the system confidently.
Handover & Support
At the end of Stage 2, we hand over the fully operational system. Most clients then engage us for Stage 3 (Monitor & Maintain) to ensure ongoing success.
Technology We Work With
As an independent advisor, we're not tied to any specific vendor or platform. We recommend and implement what's best for your needs:
AI Models & Platforms
OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, Google Vertex AI, open-source models
Infrastructure
Azure, AWS, GCP, on-premises, hybrid architectures
Integration Tools
MCP (Model Context Protocol), REST APIs, webhooks, message queues, custom connectors
Stage 2 in Action
See how organisations have successfully completed full Stage 2 implementations—from architecture design through testing and deployment:
🦺 Safety Monitoring
Phases 2-3 detail pilot deployment, system configuration, testing, rollout, and training—complete Stage 2 journey from design to production.
See full implementation →
⚡ Grid Optimization
Shows architecture design, model selection, data integration, testing phases, and production deployment—real-world Stage 2 implementation timeline and challenges.
See full implementation →
📄 Contract Review
Discovery, design, pilot, deployment, and training phases demonstrate complete Stage 2 process including vendor selection and change management.
See full implementation →
See Stage 2 for Your Industry
Discover sector-specific implementation approaches, best starting points, and proven use cases for your industry:
Construction
Best starting points: Safety Monitoring, Document Management, Schedule Optimization
Explore construction AI →
Energy
Best starting points: Grid Optimization, Predictive Maintenance, Net Zero Reporting
Explore energy AI →
Legal
Best starting points: Contract Review, Legal Research, Document Automation
Explore legal AI →
What Happens After Stage 2?
Once your AI system is deployed, you'll move to Stage 3: Monitor & Maintain where we ensure AI keeps delivering value and stays compliant through ongoing monitoring, auditing, and continuous improvement.
Ready to Build?
Whether you have a specific use case in mind or want to discuss options, we're here to help turn your AI strategy into working systems.