AI and real-time communications architecture, designed for enterprise reality.
We combine cloud, artificial intelligence, and two decades of telephony and IP communications experience to design AI-enabled platforms that integrate cleanly with people, processes, and existing systems.
Specialist capabilities.
RAG & knowledge systems
Retrieval-Augmented Generation architectures that connect private knowledge, permissions, auditability, and operational workflows.
Agentic AI solutions
AI agents designed around clear boundaries, human approval, system integration, telemetry, and business controls.
AI-powered communications
Voice, IVR, contact-centre, and Teams Phone architectures that use AI to improve routing, self-service, summarisation, and assisted workflows.
AI that fits the operating model.
Good AI architecture is not just prompts and models. It needs identity, security, data boundaries, integration patterns, cost control, observability, and a route into support.
- OpenAI and Azure AI Services architecture.
- Asterisk, OpenSIPS, SIP, IVR, and contact-centre integration depth.
- Secure-by-design patterns for regulated and enterprise environments.
Anonymised delivery evidence.
- For a large public-sector data platform, designed a retrieval-augmented generation architecture for a conversational AI system supporting users who could not access standard digital channels. Each session triggered real-time retrieval of that individual’s records from the backend, grounding answers in live, user-specific data rather than in a static model.
- Within a NATO-classified environment, unblocked a major messaging platform upgrade by resolving the underlying certificate-services faults, then documented the implementation and trained the internal support teams who took it on.
Most of this work sits under non-disclosure agreements, so engagements are described by shape, sector, and scale rather than by client name. How we work explains what can be shared and how.
Shape an AI platform your teams can trust.
Use us to assess AI opportunities, design a RAG or agentic platform, modernise voice workflows, or integrate AI into existing communications and service operations.
Related specialist AI service.
For browser-based voice interfaces grounded in live, user-specific data, see AI Voice Agents for the Web.