Building LLM Applications
RAG architectures, agents and MCP, output evaluation, security and on-premise LLM deployment.
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AI Adoption Programme · Module E
Implementation & Development
We turn priority use cases into working solutions, in the cloud (AWS) or on premises without your data leaving.
What's included
- Use case feasibility and prototype (PoC)
- Redesigning workflows with AI
- Enterprise GenAI assistant and document intelligence (RAG)
- Machine learning models: forecasting, scoring, segmentation
- Integration with existing systems
- MLOps and LLMOps: monitoring, versioning, production
Deliverables
- Feasibility report and prototype
- Production-ready solution
- Technical documentation
- Handover and training for your team
Who it's for
- Business units
- IT
- Data and analytics teams
Included in packages
- Growth
- Enterprise Transformation
Related courses
MLOps: Taking Models to Production
CI/CD, model versioning, monitoring and data drift, plus LLMOps for LLM applications: keeping models reliable in production.
Learn more →Related services
Use Cases & Feasibility
We identify the highest-value use cases and validate them with a rapid proof of concept before you invest.
Learn more →Generative AI & LLM Solutions
Enterprise assistants, AI agents, document intelligence and knowledge retrieval systems, in the cloud or on-premise, without your data leaving your walls.
Learn more →Machine Learning Models
Models built for your business problems: scoring, risk, forecasting, segmentation and fraud detection.
Learn more →On-Premise AI Infrastructure
GPU infrastructure and LLM deployment for organisations that cannot move data off-site.
Learn more →Frequently Asked Questions
Do solutions run in the cloud or on premises?
Both are possible. In the cloud we work with AWS; for organisations that can't move data out, we deploy on premises.
What happens after the pilot?
Pilots that prove their value go to production; monitoring and maintenance processes are set up and handed over to your team.
Other modules
Module A
Training
Courses chosen from our 14 corporate programmes for the roles in your organisation, tailored with your own examples.
Learn more →Module B
Strategy & Governance
Roadmap, usage policy, AI inventory and preparation for the EU AI Act, data protection law and ISO/IEC 42001.
Learn more →Module C
Talent & Hiring Support
Role definitions, technical interviews and candidate evaluation for AI and data roles.
Learn more →Module D
New-Hire AI Onboarding
Helping new employees adopt your organisation's AI tools and rules from day one.
Learn more →Module F
R&D Technical AI Partnership
We become the technical partner on the AI side of your R&D projects: idea, method, work packages and development.
Learn more →Module G
Ongoing Support (Monthly)
Monthly advisory hours, champions coaching, regular measurement and regulatory updates.
Learn more →Let's build the programme for your organisation
In a short call we'll discuss where you are today and prepare a quote with the right modules and timeline.