Enterprise AI Search – ChordianAI

The Enterprise Search Problem

Your teams waste hours searching for information that exists in your systems. Traditional enterprise search fails because it's built for keywords, not understanding.

Cost of poor search:

• Lost productivity: 5-10 hours per week per employee

• Duplicate work when information isn't found

• Delayed decisions waiting for data

• Customer experience degradation from slow responses

ChordianAI's Enterprise AI Search Solution

Unified Search Across All Systems:

One search interface for everything:

• Documents: Google Drive, SharePoint, Dropbox, Box, Confluence, Notion

• CRM: Salesforce, HubSpot, Microsoft Dynamics

• Email & Calendar: Gmail, Outlook

• Communication: Slack, Microsoft Teams

• Code: GitHub, GitLab, Bitbucket

• Data: Snowflake, Databricks, BigQuery, databases

Semantic Understanding:

Unlike keyword search, ChordianAI understands meaning:

• Natural language queries: "What did we promise ACME Corp in the contract?"

• Concept matching: Find "budget" when you search for "financial plan"

• Synonym recognition: "revenue" matches "sales," "ARR," "bookings"

• Context awareness: "pipeline" means different things to sales vs engineering

Intelligent Ranking:

Results prioritized by relevance:

• Semantic similarity to query

• Recency (weighted by content type)

• Authority (source credibility, author expertise)

• Personalization (your role, team, past searches)

Key Capabilities

Answer Extraction:

Don't just get documents — get answers:

• Direct answers extracted from long documents

• Multi-document synthesis when answer spans sources

• Confidence scoring

• Source attribution with links to original content

Relationship Mapping:

Understand connections between entities:

• People: Who works with whom, expertise areas

• Projects: Related initiatives, dependencies, shared stakeholders

• Customers: Decision makers, champions, organizational charts

• Concepts: Topics, themes, trends across content

Search Applications

Sales Intelligence:

• "Find all customers in manufacturing using our API"

• "What objections did we face in enterprise deals last quarter?"

Customer Support:

• "How do we handle refund requests for annual contracts?"

• "What are known issues with SSO configuration?"

Competitive Intelligence:

• "What have we learned about Competitor X's pricing?"

• "Find mentions of features we're missing vs competitors"

Results:

Organizations deploying ChordianAI Enterprise AI Search see:

• 70% reduction in time spent searching

• 50% decrease in "could not find" instances

• 40% reduction in duplicate work

• 5-10 hours saved per employee per week