The problem
A law firm has 10,000 case documents. Finding the one paragraph that answers a client question takes hours of search and reading.
The solution
- Upload PDFs, Word docs, contracts, and case files to the Gilligan Tech document store
- The platform chunks, embeds, and indexes every document using Vertex AI Search
- Staff ask plain-English questions — "What are the liability clauses in the Acme contract?"
- Gemini 1.5 Pro retrieves the exact passages and drafts a grounded answer with citations
The problem
A growing e-commerce brand gets 500 support emails a week. Most ask the same 20 questions. The support team is overwhelmed and response times are slipping.
The solution
- Ingest your help articles, FAQs, product docs, and order policies into the knowledge base
- Route incoming support tickets through the Gilligan Tech classification layer (Nova Micro on Bedrock)
- Standard questions get answered instantly by Claude 3.5 Sonnet — with your brand tone, grounded in your docs
- Complex or sensitive tickets are flagged and passed to a human agent with a pre-drafted response
The problem
An accounting firm manually re-keys data from hundreds of supplier invoices each month. It's slow, error-prone, and takes staff away from higher-value work.
The solution
- Drop invoices, receipts, or purchase orders (PDF or image) into the Gilligan Tech workflow
- GPT-4o's vision capability reads the document and extracts structured fields: vendor, date, line items, totals, tax
- The extracted JSON is validated and pushed directly to your accounting software via API
- Edge cases and low-confidence extractions are flagged for human review
The problem
A digital agency writes product descriptions, blog posts, and email campaigns for 40 clients. Every piece needs to match brand voice, include SEO keywords, and pass a human review.
The solution
- Upload each client's brand guide, tone examples, and keyword list once
- Gilligan Tech's content pipeline ingests a brief or product data sheet
- Gemini 2.0 Flash generates a first draft — in the client's voice, hitting the keywords
- An editor reviews in a lightweight UI and approves or refines before publish
The problem
New hires spend weeks finding answers in Slack history, Google Docs, and shared drives. Institutional knowledge lives in the heads of senior staff who are already overloaded.
The solution
- Connect your Google Drive, Notion, Confluence, or SharePoint to Gilligan Tech's ingestion pipeline
- Every document is indexed and kept in sync — new files appear in the knowledge base within minutes
- Staff ask questions in a chat interface and get cited, accurate answers — not hallucinations
- Access controls mirror your existing permissions: people only see what they're allowed to see
Which product covers your use case?
| Use Case | GT Product | Primary AI Service | Starter | Growth |
|---|---|---|---|---|
| Document Q&A | Document Intelligence & RAG | Vertex AI Search + Gemini | ✓ | ✓ |
| Customer Support Bot | LLM Integration Platform | AWS Bedrock / Claude | ✓ | ✓ |
| Invoice Processing | AI Workflow Automation | Azure OpenAI GPT-4o | — | ✓ |
| Content Generation | LLM Integration Platform | Gemini 2.0 Flash | ✓ | ✓ |
| Internal Knowledge Base | Document Intelligence & RAG | Vertex AI + Gemini 1.5 Pro | — | ✓ |