Enterprise AI Chatbots & Virtual Assistants
We build large language model-powered virtual assistants that handle complex enterprise interactions with the accuracy, compliance, and audit trail that regulated industries require. From internal knowledge management to customer-facing service automation, our conversational AI delivers measurable deflection rates and CSAT improvements from day one.
92% resolution rate · <2s avg response time
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Your knowledge base, conversational.
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What is our refund policy for enterprise contracts?
Based on the Enterprise Master Services Agreement (v4.2), enterprise contracts include a 30-day satisfaction guarantee. After the initial period, refunds are prorated based on remaining contract term, minus any consumed professional services hours. A formal request must be submitted through the account management portal.
Does that apply to annual and multi-year agreements differently?
Yes. Annual agreements follow the standard proration schedule outlined above. Multi-year agreements (24+ months) include an early termination fee of 15% of remaining contract value, as stipulated in the Long-Term Agreement Addendum. However, customers in the first 90 days of a multi-year term can invoke the Extended Evaluation Clause for a full refund.
Our Approach
From raw knowledge to intelligent conversation.
Conversational AI Strategy & Use Case Scoping
We assess your highest-volume interaction patterns — support tickets, internal helpdesk queries, sales qualification, HR policy questions — and quantify the deflection rate and cost savings achievable through automation. Use case prioritisation is based on interaction volume, answer determinism, and regulatory sensitivity.
Knowledge Architecture & RAG Implementation
We design and implement a Retrieval-Augmented Generation pipeline that ingests your structured and unstructured knowledge sources — policy documents, product documentation, CRM data, ticketing history — with chunking strategies, embedding models, and retrieval algorithms optimised for your content type.
LLM Selection, Fine-Tuning & Guardrail Engineering
We select the appropriate foundation model — GPT-4o, Claude, Llama, or a domain-specific model — and implement system-level guardrails, output validation, and adversarial prompt defences. For regulated industries, we implement citation enforcement and answer confidence thresholding to prevent hallucinated responses.
Multi-Channel Deployment & Integration
Assistants are deployed across your required channels — web widget, Microsoft Teams, Slack, WhatsApp, or native mobile — with session state management, authenticated user context injection, and CRM integration that gives the assistant access to customer history without requiring manual lookup.
Governance, Compliance Logging & Continuous Improvement
Every conversation is logged to a tamper-evident audit store with full retrieval context, model version, and response metadata. Human review workflows flag low-confidence responses for QA review, and monthly model fine-tuning cycles use reviewed interactions to improve answer quality continuously.
Compliance-grade accuracy with the conversational fluency your teams and customers expect.
Every response is grounded in your verified documents, with full source citation and audit trails for regulated industries.
The intelligence layer
Enterprise conversational AI deployments fail most often not due to model limitations, but due to poor retrieval architecture, inadequate guardrails, and the absence of a governance framework that satisfies compliance and legal review. Organisations in financial services, healthcare, and professional services cannot deploy LLMs that hallucinate answers to policy questions or retrieve information from unvetted sources. Our conversational AI engineering practice builds grounded, governed, and auditable assistants — where every response is traceable to a source document, every conversation is logged for compliance review, and the model refuses to answer outside its defined knowledge boundaries with a graceful, professional handoff.
Capabilities
Everything your AI assistant delivers.
Use Cases
Enterprise use cases for conversational AI
Customer Support Deflection
Automate 60-70% of L1 support interactions
Internal Knowledge Base
Instant answers from company policies and documentation
Sales Qualification
AI-powered lead scoring and initial qualification conversations
HR & IT Helpdesk
Employee self-service for common HR and IT requests
Compliance Q&A
Governed answers to regulatory and policy questions
Onboarding Assistant
Guide new customers through product setup and activation
Security & Governance
Built for trust and accountability
Audit Trail
Every conversation logged to tamper-evident store with full retrieval context
Guardrails
Hallucination prevention, citation enforcement, and refusal handling
Compliance
SOC 2, GDPR, and HIPAA-ready architecture with consent management
Deploy Conversational AI Your Compliance Team Will Approve
Our conversational AI architects will assess your interaction volume, knowledge architecture, and compliance requirements to design a governed virtual assistant strategy.