AI Integration
AI Advisory & Solution Design
We help organisations explore and define where AI can deliver tangible value, ensuring alignment with business goals and enterprise architecture.
Services include :
- AI use-case identification and prioritisation.
- Architecture design for AI-enabled solutions.
- Technology and framework recommendations.
- AI-powered assistant, prompt engineering and agent recommendations.
- Design reviews and stakeholder alignment.
- Proof of Concepts (POCs) and MVP development.
Model & Agent Development & Experimentation
We assist in the development and evaluation of machine learning models, with a focus on practical applicability.
Services include :
- Model selection and framework guidance.
- Training workflows and experimentation support.
- Building multi-AI-Agent systems and MCPs.
- Integration with AI Agents and managed AI/ML services.
- Performance evaluation and optimisation.
- Support for both custom models and cloud-native AI services.
AI/ML Deployment & Integration
We enable the integration of AI capabilities into enterprise applications and workflows.
Services include :
- Deployment of models (Open-source) in cloud environments.
- API-based integration with business systems.
- Integration with enterprise knowledge systems (RAG) with(out) using MCPs.
- Real-time and batch inference pipelines.
- Integration with existing enterprise ecosystems.
AWS AI & Cloud-Native Capabilities
We leverage the AWS ecosystem to enable scalable and enterprise-ready AI solutions, particularly for organisations already operating on or transitioning to AWS.
Capabilities include :
- Amazon Bedrock for building and integrating generative AI applications.
- Amazon SageMaker for model development, training, and deployment.
- AWS Lambda and Step Functions for event-driven AI workflows.
- Amazon S3 and data lake architectures for scalable data storage.
- Amazon Comprehend, Textract, Rekognition, and Transcribe for managed AI services.
- API Gateway for exposing AI services securely to applications.
We help organisations select the right mix of managed AI services and custom solutions, ensuring alignment with cost, scalability, and enterprise requirements.
Governance, Security & Responsible AI
As AI adoption grows, governance becomes essential. We help organisations incorporate appropriate controls from the outset.
Services include :
- Data security and access control.
- Responsible AI considerations (bias, transparency, guardrails).
- Model governance and auditability.
- Compliance with organisational and regulatory requirements.
