Case Study
MAIA
Internal Knowledge Assistant
A secure AI assistant that helps teams search, analyze and synthesize internal documentation faster.
The Challenge
- Internal knowledge was scattered across hundreds of policies, SOPs, tickets and guides
- Teams spent too much time searching, with inconsistent results depending on keywords
- Critical information was buried in long documents with no quick summaries
- Sensitive data required strict access control and secure handling
The Solution
- Built MAIA, a secure AI assistant that understands internal content and provides accurate, cited answers
- Semantic search powered by vector embeddings surfaces the most relevant information
- Answers are grounded in sources with references and summaries for quick validation
- Human-in-the-loop workflows ensure trust, compliance and continuous improvement
How It Works
Ingest
Connect to internal sources (SharePoint, Confluence, Drive, databases) and extract clean, structured content.
Index & Retrieve
Chunk, embed, and index content in a secure vector store. Retrieve top relevant chunks for the user query.
Generate Answers
LLM generates grounded answers with citations, summaries and related documents.
Validate & Use
Users review sources, explore further and give feedback to continuously improve MAIA.
Key Features
Semantic Search
Find information with meaning, not just keywords.
Cited Answers
Every answer includes source citations for transparency.
Smart Summaries
AI-generated summaries of long documents.
Document Explorer
Browse related topics and connected documents.
Question Answering
Ask natural language questions and get precise answers.
Knowledge Analytics
Track usage, popular topics and content gaps.
My Contribution
Scope & Roadmap
Defined project scope, success metrics and MVP roadmap.
Research & Workflows
Conducted user research and mapped key knowledge-seeking workflows.
RAG Architecture
Designed the RAG architecture and integration strategy across sources.
Security Coordination
Coordinated with IT, Security and Content Owners on access and compliance.
Implementation & QA
Led implementation, testing and iterative improvement of MAIA.
Adoption & Rollout
Drove adoption, training and rollout across teams.
Business Impact (MVP Outcomes)
60%
faster knowledge retrieval
Average time to find information dropped significantly.
reduction in search time
Less time spent searching across documents.
35% increase in answer consistency
More reliable and standardized responses across teams.
80%+ user satisfaction
Of users find MAIA helpful for daily work.
Tech Stack
What Mattered Most
Security & compliance by design
On-prem/local-only options, encryption and role-based access kept sensitive data protected.
Answers grounded in real sources
Every answer is traceable to a document, reducing hallucination and building trust.
Adoption through simplicity
A clear, familiar chat experience made rollout and daily adoption easy for every team.
Let's build something useful.
If you have an AI, automation or digital product challenge, let's turn it into a clear and executable solution.
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