What changes for your business
Prioritised use cases
A ranked portfolio of AI opportunities with expected ROI, so budget goes to what pays back first.
Answers from your own documents
Assistants that search contracts, manuals and policies and cite the source — not generic chatbots.
Less manual paperwork
Invoices, contracts and forms processed automatically, with people reviewing only the exceptions.
What we do
Strategy
Generative AI strategy
Identify, prioritise and size use cases, and define how ROI will be measured.
Responsible AI
Governance, security and model evaluation, before and after go-live.
Build
Chatbots and assistants
Gemini on Vertex AI or Azure OpenAI, connected to your systems and channels.
RAG — intelligent search
Search across company documents with Vertex AI Search or Azure AI Search, with cited answers.
AI agents
Agents that execute multi-step tasks, built with Agent Builder and ADK or Azure AI Foundry.
Intelligent document processing
Extraction and validation for invoices, contracts and forms with Document AI or Azure AI Document Intelligence.
Classic machine learning
Forecasting, scoring and recommendations with Vertex AI, BigQuery ML or Azure Machine Learning.
Adoption
Gemini and Microsoft 365 Copilot
Rollout, usage policies and training so licences turn into productivity.
What you receive
- Prioritised use-case map with ROI estimate
- Production deployment in your cloud — not a prototype
- Evaluation set and quality metrics per model
- Security and governance guidelines
- Handover documentation and team training
Ways to engage
AI discovery
Two to three weeks to map and prioritise use cases.
Build
Fixed-scope implementation of one or more use cases.
Operate
Monthly monitoring, evaluation and improvement.