All client names, company sizes, and identifying details have been changed or omitted to protect confidentiality. Results reflect real deployments on the Gilligan Tech Inc. platform.
A regional law firm cut document search time by 78% with AI-powered case research.
Associates were spending 6–8 hours daily searching case documents and contracts. Gilligan Tech Inc. deployed a Document Intelligence pipeline on AWS Bedrock that lets the team query their entire document corpus in plain English.
document search time
An online retailer deflected 62% of support tickets with LLM-powered automation.
With 2,400+ monthly tickets and only 3 support agents, response times averaged 4 hours. Gilligan Tech Inc. built an Azure OpenAI triage and auto-resolution layer that handles the majority of common queries instantly.
rate achieved
A property management company automated 94% of invoice extraction across 300+ vendors.
Processing 1,200+ invoices per month from vendors with different PDF formats was taking 12 minutes each and carrying an 8% error rate. GPT-4o Vision now processes the same invoices in 45 seconds with 94% extraction accuracy.
across all vendor formats
A digital agency increased content output 3.8x while serving 34 SMB clients.
Producing consistent, on-brand content for 34 clients simultaneously was pushing the agency's 25-person team to its limit. Gilligan Tech Inc. built an AI Workflow Automation pipeline that handles first-draft generation, brand calibration, and review queuing.
increase achieved
A staffing agency cut coordinator onboarding from 6 weeks to 2.5 weeks with an AI knowledge base.
New placement coordinators took 6 weeks to reach proficiency and were escalating 40+ compliance questions per day to senior staff. Gilligan Tech Inc. built an internal RAG knowledge base over the agency's handbook, CMS guidelines, and state licensing rules.
staff escalations
A civic family law platform put 220,000 legal chunks behind a zero-hallucination AI research engine.
Families navigating Norwegian custody disputes and Barnevernet proceedings needed accurate, source-cited legal intelligence — not generic LLM guesses. Gilligan Tech Inc. built a full RAG + fine-tune + MCP stack: 220K+ legal chunks, a custom Norwegian law model, and a 4-stage verification pipeline serving four languages.
across all AI responses
A pub-quiz platform replaced disputed host calls with an AI grading engine that never plays favourites.
Trivia & Tunes needed fair, consistent answer grading across dozens of simultaneous venue and home games — without human hosts making split-second calls. Gilligan Tech Inc. built a 6-level LLM grading engine, an AI host personality system, and a voice synthesis pipeline in English and Norwegian.
per answer, any venue
An independent editorial platform doubled publishing velocity with a voice-matched AI writing assistant.
A solo writer publishing 10–15 pieces a month was losing hours to mid-draft stalls and excerpt writing. Gilligan Tech Inc. wired two AI features directly into the CMS admin: a prose continuation tool trained on the author's voice, and a one-click excerpt generator.
with no added headcount