ChatGPT is not a strategy. It's a tool. The businesses getting real value from generative AI aren't the ones with the best AI strategy document — they're the ones that built something, put it in front of real users, and iterated. LoopStack builds those things.
Beyond the hype, there are concrete, reliable use cases where LLMs like ChatGPT deliver measurable value. Here's what we see working consistently in production.
A GPT-powered chatbot trained on your documentation, FAQs, and product knowledge. Handles tier-1 questions instantly, 24/7. Routes anything complex to a human with full context already captured.
Feed in invoices, contracts, applications, or emails and get structured data out. LLMs understand context that regex and templates miss — variable formats, scanned documents, mixed layouts.
Staff ask a question in plain English, the system searches your documentation, policies, and procedures, and returns a direct answer. Works better than search and doesn't require everyone to know where things are filed.
Inbound emails classified, prioritised, and responded to with AI-drafted replies for human review. Cuts email handling time significantly for teams with high inbound volume.
Inbound enquiries analysed and scored automatically. Urgent or high-value leads routed immediately. Everyone else gets a personalised, accurate response that keeps them engaged while your team prioritises properly.
Transcripts turned into structured summaries, action items extracted, owners assigned, and tasks created in your project management tool automatically — minutes after the call ends.
These aren't demos or proofs of concept. These are production systems running in real UK businesses.
Result: 70% of inbound support handled automatically
A GPT-4 powered support bot trained on the client's entire documentation library and support ticket history. Deployed on their website and in-app. Handles the majority of support volume without human involvement. Complex queries routed with full conversation context, reducing resolution time.
Result: 3 hours of daily admin eliminated
LLM-powered extraction from supplier invoices — variable formats, scanned PDFs, mixed layouts. Data validated, cross-referenced with POs, and pushed to the client's accounting system. What took two staff members most of their morning now runs in minutes overnight.
Result: Instant accurate responses to policy questions
Internal AI tool for a property management company — staff ask questions about tenancy law, company procedures, and maintenance protocols in plain English. Claude searches the full policy library and returns direct, cited answers. Reduced training time for new staff significantly.
Result: Qualified leads identified 40x faster
LLM agent that processes inbound enquiry forms, enriches with company data, assesses fit against qualification criteria, scores and categorises, then either auto-responds or escalates with a briefing note for the sales team. Deployed in under two weeks.
We don't have a preferred vendor. We use whichever model performs best for your specific task. Here's the honest breakdown.
| Model | Best for | Limitations | Cost |
|---|---|---|---|
| GPT-4o (OpenAI) | Conversational tasks, coding assistance, broad general reasoning, image understanding | Context window smaller than Claude; can be verbose | Mid-range API pricing |
| Claude 3.5 / 4 (Anthropic) | Long document analysis, following complex multi-step instructions, compliance-sensitive contexts | Slightly less widely integrated than OpenAI | Comparable to GPT-4, varies by model |
| GPT-4o mini | High-volume classification, triage, and summarisation where cost matters | Less capable than full GPT-4 for complex reasoning | Low — good for scale |
| Local / open source | Sensitive data that can't leave your infrastructure; high-volume where API costs are prohibitive | Requires hosting setup; lower quality than frontier models | Infrastructure cost, no API fees |
Book a free 30-minute call. Tell us what you're trying to do — whether it's a chatbot, a document pipeline, or something you're not sure how to describe yet. We'll tell you what's possible, what it costs, and how long it takes.
Book a Free Discovery Call