AI opportunity workshop
A short, structured review of candidate use cases, data readiness and risks, ending in a prioritized shortlist.
Services
AI, LLM & Machine Learning
Put generative AI and machine learning to work on real business problems, with the evaluation, guardrails and governance your organization needs.
Overview
What it is
Large language models open up new ways to search knowledge, draft content and automate work, but useful results depend on the right use case, good data, careful evaluation and sensible controls. We help you choose where AI fits, then design, build and operate solutions that people can trust.
We work with commercial and open-source models, including OpenAI and Azure OpenAI, Anthropic Claude, Amazon Bedrock and Google Vertex AI, and choose based on your requirements for quality, cost, latency, data residency and security. Alongside generative AI we build classical machine learning for prediction, forecasting and classification.
Capabilities
What we do
- AI assistants and copilots for employees and customers
- Retrieval-augmented generation (RAG) over your company documents and knowledge bases
- LLM integration into business workflows, applications and service platforms
- Prompt engineering, structured outputs and systematic evaluation
- Guardrails and safety: access controls, content filtering, human review and audit trails
- Model selection and benchmarking across commercial and open-source models
- Predictive models, forecasting, classification, NLP and computer vision
- MLOps and LLMOps: deployment, monitoring, evaluation and cost control
- AI governance and responsible AI: use-case review, risk assessment and policies
Results
Typical outcomes
- AI use cases chosen for business value and feasibility, not novelty
- Assistants that cite their sources and respect existing permissions
- Measured quality through repeatable evaluation rather than impressions
- Predictable running costs with monitoring of usage and model behavior
- Documented governance that supports risk, legal and compliance reviews
Engagement
How we engage
Proof of value
A time-boxed build of one use case with agreed success criteria and an evaluation set, so you can decide on scale-up with evidence.
Production delivery
A team that hardens, deploys and operates AI solutions with monitoring, guardrails and knowledge transfer to your staff.
Technologies
Platforms and tools we work with
OpenAIAzure OpenAIAnthropic ClaudeAmazon BedrockGoogle Vertex AIOpen-source LLMsLangChainVector databasesPythonPyTorchscikit-learnMLflow
Product names are trademarks of their respective owners and are listed for identification only.
Related services
Often combined with
Data Engineering & Analytics
Modern data platforms, reliable pipelines, data quality and governance, and BI dashboards that leaders can trust.
Application Development & Modernization
Web and API development, legacy modernization, systems integration and quality engineering for software that lasts.
ServiceNow Solutions
Implementation, upgrades, integrations and managed support across ITSM, ITOM, HRSD, CSM, GRC/IRM, SPM and ITAM.
Get in touch
Ready to talk about AI, LLM & ML?
Share a little about your environment and goals. We'll reply by email to arrange a conversation.
What happens next
- We reply by emailUsually to suggest a short call at a time that suits you.
- We listen and ask questionsAbout your goals, constraints, timeline and current setup.
- You get a practical proposalA clear scope and next step, often a small one.