| Client | Industry | Solution Provided | Technologies Used |
|---|---|---|---|
| Real estate and property management technology company | Residential Property Management | Data & AI | LangGraph, Pinecone, and Claude |
The Need
A U.S.-based property management and technology company needed to eliminate inefficiencies in how employees accessed internal information to enable faster onboarding, ensure consistent execution, and support scalable operations.
- Scattered Knowledge Repositories: Vital information—contracts, policies, training docs—was spread across Slack and disorganized Google Drive folders
- Inefficient Information Retrieval: Employees spent excessive time searching or asking for answers, leading to delays, duplicate work, and inconsistent guidance
- Scaling Limitations: Disjointed access to reliable knowledge made it hard to onboard new hires, standardize execution, or maintain up-to-date practices across teams
The Solution
Gorilla Logic introduced a Slack-integrated, AI-powered knowledge assistant to unify internal knowledge access and reduce time-to-competency.
- Integrated Knowledge Assistant: Deployed a custom AI agent, “Mo,” embedded directly into Slack and internal tools to surface accurate, plain-language answers instantly
- Contextual Knowledge Surfacing: Connected the assistant to Google Drive, Slack, and a new CMS to deliver timely, relevant content wherever employees work
- Behind-the-Scenes Intelligence: Leveraged LangGraph, Pinecone, and Claude to power the experience, ensuring high performance while keeping user interactions intuitive
Results
Instant Knowledge Access: Employees now receive instant, accurate answers without delay, eliminating bottlenecks and guesswork
Faster Onboarding and Execution: Dramatically reduced new hire onboarding time and ensured consistent procedural execution across offices
Boosted Productivity and Experience: Internal AI tooling streamlined workflows, reduced frustration, and empowered employees with reliable self-service support
Smarter AI Investment: Tailored use of generative AI maximized value by applying it to both internal knowledge retrieval and external language tasks