Our conversational AI services
RAG-powered search and knowledge access
We build systems that answer customer and employee questions in natural language using your own data. RAG architectures combine multiple sources (product documentation, knowledge bases, CRM, and ERP) with intelligent routing that selects the most relevant source for each question.
Virtual agents for customer service
Conversational agents handle most customer interactions, from technical product questions to status updates and cross-selling opportunities. Built on agentic frameworks with dynamic source retrieval, escalation routes to human agents, and full observability.
Voice AI and multimodal interfaces
We create voice-driven experiences that work in real-world conditions. From advanced microphone optimisation to low-latency speech recognition and existing hardware integration, proven in environments serving millions of visitors annually.
Multi-channel deployment
One conversational platform deployed across multiple channels: webchat, WhatsApp, email, and voice. Rather than separate solutions, we provide shared conversational orchestration with unified knowledge bases, ensuring consistent answers across all touchpoints.
AI guardrails and safety design
Conversational AI requires robust safety mechanisms to protect your brand and users. We design deflection mechanisms for off-topic questions, safe routing of sensitive subjects, and persona enforcement that maintains brand integrity even when conversations test boundaries.
Let's discuss your conversational AI needs
Our approach to conversational AI in production
Working demos differ significantly from reliable conversational AI experiences. We build conversational AI that handles real user questions with all their complexity, edge cases, and sensitive topics. Our approach moves from proof-of-concept to production and continues improving through systematic evaluation and optimisation.
The entire customer journey, not just service
Conversational AI extends far beyond helpdesk functionality. We design conversation experiences across the full customer journey, from contextual conversation starters at awareness to interactive onboarding and continuous support. For each stage, we determine optimal data sources through orchestration architecture that dynamically selects the right information layer.
Guardrail-first design
Safety isn't an afterthought, it's a fundamental architectural layer. We design deflection mechanisms, persona boundaries, and escalation routes before users interact with the system. Sensitive topics, legal questions, and specialised advice route to pre-approved responses rather than relying solely on language model generation.
Evaluation and observability as standard
Production conversational AI requires continuous monitoring and improvement. We implement evaluation pipelines that track accuracy, relevance, user satisfaction, and business outcomes, enabling systematic optimisation based on real production performance data.
Why work with us?
Proven in production environments
Our conversational AI operates live in demanding real-world conditions, from international building materials manufacturers to theme parks serving 5 million visitors annually to energy network operators serving entire countries. This production experience informs every new implementation.
Full-stack conversational delivery capability
We handle architecture design, integration development, retrieval pipeline configuration, and delivery including infrastructure as code, CI/CD, and observability. No handovers to other partners during implementation, ensuring seamless progression from concept to production.
Technology-agnostic conversational platform selection
We choose platforms that fit your situation: Azure AI Foundry, AWS Bedrock, Google Vertex AI, or our own Bonzai platform. Technology decisions align with your requirements, existing infrastructure, and objectives, not vendor partnerships or commission structures.
Platform thinking, not isolated single-use chatbots
Most organisations start with one use case then realise they need multiple channels, markets, and data sources. We design conversational AI as scalable platforms, so subsequent implementations build on existing foundations rather than starting from scratch.
