Yes. Good candidates include repetitive enquiries, document triage, drafting, data extraction, notifications and workflow routing. High-risk decisions should retain human approval.
IT Solutions & Support
AI & Automation
AI consulting, chatbots, workflow automation, safe use, human review and operating costs.
Knowledge articles
14 answers in this category
Yes. Good candidates include repetitive enquiries, document triage, drafting, data extraction, notifications and workflow routing. High-risk decisions should retain human approval.
Yes, where the existing systems offer suitable APIs/connectors and authentication. Integration scope, data access and vendor limits are assessed during discovery.
Yes. DAIM HUB can design AI chatbots/assistants with defined knowledge sources, guardrails and human escalation, subject to provider/privacy/usage-cost requirements.
Yes. DAIM HUB can design AI chatbots/assistants with defined knowledge sources, guardrails and human escalation, subject to provider/privacy/usage-cost requirements.
No. AI systems can produce incorrect or incomplete outputs. Important content and high-impact decisions require appropriate human review.
Yes. DAIM HUB can provide safe-use training covering data handling, prompt practice, verification, access controls, approved tools and when human review is mandatory.
Yes. DAIM HUB can provide safe-use training covering data handling, prompt practice, verification, access controls, approved tools and when human review is mandatory.
Yes. Human review remains essential for high-impact decisions, legal/financial/security actions, public commitments and any output where accuracy matters materially.
Yes. Human review remains essential for high-impact decisions, legal/financial/security actions, public commitments and any output where accuracy matters materially.
AI hallucinations are plausible-looking but incorrect or unsupported outputs. They are a normal risk of generative AI and must be managed with good data, guardrails and human verification.
AI hallucinations are plausible-looking but incorrect or unsupported outputs. They are a normal risk of generative AI and must be managed with good data, guardrails and human verification.
AI model/API usage is normally a separate third-party operating cost paid by or rebilled to the client unless the project price explicitly includes an allowance.
It depends on the AI provider, configuration and data. DAIM HUB should classify/minimise data, review provider terms and avoid sending confidential/regulated information to public AI tools without approval.