Deploy sophisticated, safe, and grounded AI assistants built with Retrieval-Augmented Generation (RAG) to reduce support load and automate complex task completion.
Challenge
Chat experiences break down when they are not grounded in trusted knowledge, leading to 'hallucinations' or data leakage. Without robust RAG architecture and access controls, enterprises risk surfacing sensitive internal content to the wrong users. Modern AI assistants must be safe, predictable, and fully integrated: leveraging your proprietary data while enforcing strict UK-based governance and audit trails. Without a controlled delivery approach, AI bots become a support risk instead of a service asset.
Outcomes
Project management and engineering leadership led from our UK hubs.
Active delivery teams in London and Milton Keynes for close collaboration.
Strict adherence to UK GDPR, ICO guidelines, and sector-specific regulations.
Next-generation RAG components that fit your specific governance and operational needs.
From knowledge mapping to governed deployment and continuous AI tuning.
Phase 1: Knowledge Audit & Intent Mapping
Mapping your data sources, identifying high-value intents, and defining escalation paths.
Phase 2: RAG Pipeline & Safety Build
Implementing vector embeddings, LLM orchestration, and safety guardrails against hallucinations.
Phase 3: Integration & Performance Tuning
Connecting to your CRM/ERP systems and fine-tuning the model based on real-world interactions.
We select specific tooling and frameworks to match your performance, security, and scalability requirements.
Advanced LLMs
GPT-4o, Claude 3.5 Sonnet, Llama 3, Mistral Large.
Orchestration
LangChain, LlamaIndex, Haystack for complex AI flows.
Vector Infrastructure
Pinecone, Weaviate, pgvector for semantic retrieval.
NLU Platforms
Dialogflow CX, Rasa, Microsoft Bot Framework.
Deployment Channels
WhatsApp API, Microsoft Teams, Slack, Custom Web Widgets.
Voice & Telephony
Twilio, Amazon Connect, Google Cloud CCAI.
AI Security
PII redaction, prompt injection protection, RBAC.
Evaluation
LangSmith, Ragas, and continuous accuracy monitoring.
Straight answers on delivery, governance and day-to-day operations.
How do you prevent the AI from 'hallucinating' or making things up?
We use RAG (Retrieval-Augmented Generation), which forces the AI to only answer using your approved documentation and cite its sources, rather than relying on its general training data.
Can the AI assistant take actions, like updating our UK CRM?
Yes. We build 'agentic' capabilities that allow the assistant to call secure APIs to book appointments, update records, or trigger internal UK business workflows.
How secure is our data when using these AI models?
We prioritise data privacy by using enterprise-grade API tiers with no-training clauses, implementing PII masking, and ensuring all data handling meets UK GDPR and ICO standards.
What happens if the AI assistant can't answer a query?
We design seamless escalation paths to human agents, providing the agent with the full chat transcript so they can resolve the issue without the user repeating themselves.
What does an AI software development company in the UK do?
We provide AI workflow automation, custom software development, digital product engineering, and systems integration tailored for UK businesses.
Where is your UK office located?
Our UK office is located at Suite 415c, Margaret Powell House, Midsummer Blvd, Milton Keynes MK9 3BN, United Kingdom.
Can Mobiloitte UK build AI chatbots and voice automation systems?
Yes, we design systems with clear ownership, audit trails, and human-in-the-loop checkpoints to ensure accountability, explainability, and reliability.
Can you integrate AI solutions with Salesforce, SAP, or Dynamics?
Yes, we specialize in connecting enterprise systems like Salesforce, SAP, Microsoft Dynamics, and custom databases with automated workflows.
How long does AI software development take in the UK?
Timelines vary by complexity, but we typically structure engagements into focused cycles: discovery, iterative build, and operational handover.
Do you support scale-up as well as enterprise clients?
Yes, our model is designed to support both high-growth scale-ups needing speed and operationally complex enterprises needing strict governance.
Share your documentation volume and target channels. We’ll respond with a feasibility and architecture view.
