GroveAI
comparison

When should I use ChatGPT vs a custom AI solution?

Quick Answer

Use ChatGPT and similar general AI tools for individual productivity tasks like drafting, research, and brainstorming. Build a custom AI solution when you need integration with your business systems, answers grounded in your specific data, consistent automated workflows, or compliance-grade security. ChatGPT is a general-purpose tool; custom AI is a business system designed for your specific processes.

Summary

Key takeaways

  • ChatGPT excels at individual productivity and ad-hoc tasks
  • Custom AI provides system integration, data grounding, and workflow automation
  • Custom AI offers enterprise security and compliance controls
  • Most organisations benefit from both: ChatGPT for individuals, custom AI for processes

When ChatGPT Is Sufficient

ChatGPT and similar general-purpose AI tools are excellent for individual productivity: drafting emails and documents, summarising meeting notes, brainstorming ideas, translating content, explaining complex concepts, and performing quick research. They require no development effort and can be used immediately. ChatGPT Enterprise and Team plans offer reasonable security for business use. For small organisations with limited AI budgets, ChatGPT can deliver significant productivity improvements across the team for under £25 per user per month. It is a tool, not a system, and that distinction matters for understanding when it is and is not the right approach.

When You Need Custom AI

Custom AI becomes necessary when your requirements go beyond individual productivity. Integration with business systems like CRM, ERP, or case management allows AI to access and update your operational data. Grounding in your specific content through RAG ensures responses are accurate and relevant to your organisation. Automated workflows that process transactions, route requests, or trigger actions require custom development. Consistent, repeatable processes that multiple team members use in the same way need structured AI systems. Compliance requirements for audit trails, data residency, and access controls demand enterprise-grade architecture. Custom user interfaces designed for your specific workflows improve adoption and efficiency. These requirements cannot be met by giving individuals access to ChatGPT.

FAQ

Frequently asked questions

Yes. OpenAI's API provides the same models behind ChatGPT for custom application development. Many custom AI solutions use GPT-4 via API as their language model while adding custom data integration, workflows, and user interfaces.

ChatGPT Enterprise offers SOC 2 compliance, no data training on your inputs, and SSO. For sensitive data, however, custom solutions with additional security controls, data residency guarantees, or local deployment may be necessary.

ChatGPT costs £20 to £25 per user per month. Custom AI solutions typically cost £15,000 to £100,000+ to build, plus ongoing operational costs. The comparison is not like-for-like: custom AI automates business processes rather than augmenting individual productivity.

ChatGPT Enterprise works well for individual productivity across the organisation. However, it does not provide system integration, automated workflows, or data-grounded responses specific to your business. Use it for personal productivity while building custom solutions for business processes.

Custom GPTs provide a middle ground with simple configuration, but they lack deep system integration, enterprise security controls, and the reliability needed for critical business processes. They are useful for internal team tools but generally insufficient for production business applications.

Have more questions about AI?

Our team can help you navigate the AI landscape. Book a free strategy call.