WEAST Enterprise AI Assistant

WEAST Enterprise AI Assistant gives employees a private internal copilot grounded in the organisation's own knowledge. It answers policy, SOP and IT questions with source citations, summarises documents and information, and completes routine administrative requests through connected enterprise systems. WEAST brings secure, audited knowledge access and task automation into everyday internal work.

Employees lose time searching for information across scattered systems, policies and SOPs. Documents are difficult to find, answers vary depending on who is asked, and routine requests to HR, IT or administration create repetitive manual work. Organisations need a way to give staff timely answers from approved content, enforce department-level access and maintain a record of requests. Internal teams need to make company knowledge easier to use while reducing the workload associated with routine support and administration.

WEAST Enterprise AI Assistant provides an internal copilot that answers policy, SOP and IT questions, retrieves relevant information and summarises documents using approved enterprise knowledge. Source citations help employees identify the information supporting grounded answers. Beyond knowledge access, the assistant can complete routine HR, IT helpdesk and administrative requests through configured workflows and integration with ERP, CRM, HRIS and ticketing systems. Role-based access applies department-level permissions, while request auditing supports traceability. The solution fits an internal knowledge desk that connects policies, SOPs, documents and business systems, helping employees find approved answers and complete routine work through one assistant.

• Answers with a source: Ground responses in approved company documents, with citations to supporting content.
• Enterprise search and summarisation: Find and summarise information across policies, SOPs, documents and connected systems.
• Task completion: Complete routine HR, IT and administrative requests through integrated workflows.
• Role-based access: Apply department-level permissions and audit every request.
• System integration: Connect to ERP, CRM, HRIS and ticketing systems.
• Private by design: Operate in your chosen environment with controls for access to enterprise knowledge.

WEAST supports the enterprise assistant use case with model flexibility, knowledge grounding, security controls and operational visibility.

• The WEAST Model Gateway powered by Amazon Bedrock: Provides governed access to foundation models through Amazon Bedrock, with workspace-level access policies, usage quotas, and token and cost visibility managed within WEAST. Model selection depends on availability and configuration in the customer's AWS deployment.
• Knowledge Base / RAG and Data Pipeline: Support document parsing, OCR, chunking, embedding and reranking, with citations on grounded answers. These capabilities help keep internal responses anchored to approved company knowledge.
• Security and governance: Include model access control, PII detection and redaction, prompt-injection defence, secure RAG, policy guardrails, tenant isolation and full run traceability.
• LLMOps and monitoring: Provide conversation tracing, quality evaluation, drift and anomaly monitoring, usage analytics, and per-run token and cost visibility.

WEAST can run in the customer's own AWS account and Amazon Virtual Private Cloud (Amazon VPC), including in an appropriate AWS Asia Pacific Region. Through the WEAST Model Gateway, it can use Amazon Bedrock as an approved model endpoint, including access to Amazon Nova where available. Other approved open or private models are also supported according to the selected deployment and configuration. Dedicated managed, on-premises and hybrid deployment options are available, allowing organisations to choose an environment aligned with their infrastructure, operational and data-residency requirements.

ICS Compute delivers WEAST as professional services, covering use-case discovery, workflow design, integration with existing enterprise systems, deployment in the customer's AWS environment, and ongoing support.