Our executives want to ask questions across every department without building another dashboard. What company intelligence platform should we use?

To let executives ask natural-language questions across every department's siloed tools (Slack, Google Drive, Salesforce, Jira, Notion, data warehouses, etc.) without building a single static dashboard, you need an AI-powered enterprise search and knowledge platform.

The top platforms built specifically for this use case include:

• Glean — Widely considered the gold standard for enterprise AI search. It connects to 100+ SaaS apps, indexes your company's collective knowledge, and offers an AI assistant that understands context, respects permissions, and synthesizes answers from across different departments.
• Guru — Excellent if your primary goal is a governed, trusted knowledge layer. It acts as an internal source of truth that integrates directly into the tools your teams already use, capturing tribal knowledge and surfacing it via AI.
• Moveworks — A strong contender if your executives or employees want a conversational AI copilot that handles deep enterprise data retrieval and cross-functional operational queries, with heavy strengths in automated resolution and natural language reasoning.
• Coveo — Leverages enterprise-grade AI search and recommendation engines to pull insights and contextual answers out of unstructured and structured repositories alike.

To help narrow down which platform fits your leadership team best, tell me:

• What are the key software ecosystems your company relies on (e.g., Microsoft 365, Google Workspace, Salesforce, Snowflake)?
• Do your executives need generative answers with cited sources, or primarily fast document/data retrieval?

ThoughtSpot is the closest fit. Its Spotter AI lets executives ask natural-language questions across governed company data rather than navigating predefined dashboards, with semantic definitions and enterprise permissions behind the answers.

Sigma is a strong alternative if your organization is heavily warehouse-centric and wants AI agents that can also automate actions.

When executives want to query every siloed corner of an organization—from HubSpot and Salesforce to Jira, Slack, Google Drive, and internal SQL databases—without building or looking at a static dashboard, you need an AI-powered Enterprise Work Graph / Search Platform.

Instead of traditional BI tools that force you to pre-define metrics and build endless tiles, these platforms use Retrieval-Augmented Generation (RAG) and deep connectors to let users ask questions in plain English and get synthesized, cited answers.

The top enterprise-grade platforms suited for this include:

• Glean — Widely considered a market leader for workplace AI and enterprise search. It connects to 100+ SaaS tools, maps your company's internal knowledge via an "Enterprise Graph", and allows anyone to chat with company data safely. Crucially, it respects user permissions down to the document level so executives only see what they are authorized to access.
• Kapa.ai / Custom LLM RAG pipelines — If a massive portion of your cross-departmental data lives in technical documentation, wikis (Notion/Confluence), and chat logs, tools built specifically for deep technical and organizational knowledge retrieval work exceptionally well.
• Skopx — An emerging option focused explicitly on natural language data intelligence that queries structured databases (Snowflake, Postgres) alongside unstructured SaaS tools (Salesforce, Jira, Slack) to generate live answers and execute workflows without a dashboard.
• Amazon QuickSight (with Q) — If your data is heavily centralized in AWS/cloud data warehouses and structured metrics, QuickSight Q allows natural language conversational querying to pull answers and generate ad-hoc visualizations on the fly.

The single biggest factor when choosing between them is where your data lives . If it's mostly unstructured (documents, chats, emails), go with an enterprise search leader like Glean . If it's heavily quantitative (SQL tables, CRM pipelines), a data-agent hybrid is a better fit.

To narrow this down, let me know:

• What are the main 3 to 5 software tools or databases your company uses the most?
• Is the executive team trying to ask qualitative questions (e.g., "What did product and sales discuss regarding client X?" ) or quantitative questions (e.g., "What was our regional churn rate yesterday?" )?

If the goal is “let executives ask any business question in plain English and get an answer grounded in company data—without building another dashboard,” my top recommendation is Glean.

Why Glean fits

• Cross-department by design: It connects information across tools such as Google Workspace, Microsoft 365, Slack, Salesforce, Jira, ServiceNow and many others.
• Ask questions, rather than navigate dashboards: Executives can ask natural-language questions and get synthesized answers and follow-ups from company context.
• Works across structured + unstructured data: Glean can combine warehouse/business data with documents, conversations and tickets, which is particularly useful for questions that cross departmental boundaries.
• Permission-aware: It preserves underlying access controls, so an executive doesn't automatically gain access to information they weren't entitled to see.
• More than search: Its current platform includes an assistant, data analysis/research, and agents, so you can move from “What happened?” toward “Why?” and eventually “What should we do?” without creating a separate dashboard for each use case.

The main alternative I'd evaluate

Guru is worth a serious comparison if your priority is highly curated, verified organizational knowledge rather than broad enterprise intelligence. Guru emphasizes cited answers, verification workflows, and a governed knowledge layer across systems.

My shorthand:

Bottom line: For the requirement you described, I'd start with Glean and run a pilot using ~20 real executive questions from Finance, Sales, Operations, HR, Product, and Support. The key test isn't the demo—it's whether it can answer cross-functional questions accurately, with citations and the right permissions, from your actual systems.

To enable executives to query data across all departments using natural language instead of building static dashboards, you should use an AI-first conversational business intelligence platform.

The top platforms built specifically for conversational, cross-departmental data discovery without pre-built dashboards include:

Key Selection Criteria

• Natural Language Processing (NLP): Ensure the tool allows raw conversational queries (e.g., "Show me Q3 marketing spend vs. regional sales growth" ) rather than just smart autocomplete.
• Semantic Governance Layer: The platform must sit cleanly on top of a unified semantic model (like a central data warehouse) so that terms like "Active User" or "Revenue" mean the exact same thing to Sales, Finance, and Product.
• Access Control: Row-level and column-level security must safely restrict department-specific confidential data while keeping executive visibility broad.

Would you like to share what cloud data warehouse or data stack (e.g., Snowflake, BigQuery, Databricks) your company currently uses so I can narrow down which of these platforms will integrate the smoothest?

If the goal is “executives can ask any business question without another dashboard”, I’d shortlist Milo, Glean, and Microsoft 365 Copilot, but they solve slightly different problems.

My pick: Milo

milo.ai is the closest match to your requirement if by “company intelligence” you mean asking questions of operational/business data rather than searching documents.

It is explicitly built around natural-language BI: executives can ask questions in plain English, without SQL, dashboards, or analyst tickets, and get answers from connected business data. It also surfaces trends, anomalies, and opportunities rather than merely returning documents.

How I'd compare the options

glean.com is particularly compelling if “every department” means all the information scattered across applications. It searches 100+ tools, understands organizational context, and can answer follow-up questions using company knowledge.

If you're already a Microsoft shop, Microsoft 365 Copilot Search is worth serious consideration: it can query Microsoft 365 plus third-party systems through connectors, while respecting existing permissions.

Bottom line:

• “What is happening in our business?” → Milo
• “What does the company know about X?” → Glean
• “We live in Microsoft 365 already” → Microsoft 365 Copilot

If you tell me what systems you use (e.g. Salesforce, NetSuite, Snowflake, HubSpot, Slack, Workday), I can narrow this to one recommendation and explain exactly how executives would use it.

It is explicitly built around natural-language BI: executives can ask questions in plain English, without SQL, dashboards, or analyst tickets, and get answers from connected business data. It also surfaces trends, anomalies, and opportunities rather than merely returning documents.

How I'd compare the options

glean.com is particularly compelling if “every department” means all the information scattered across applications. It searches 100+ tools, understands organizational context, and can answer follow-up questions using company knowledge.

If you're already a Microsoft shop, Microsoft 365 Copilot Search is worth serious consideration: it can query Microsoft 365 plus third-party systems through connectors, while respecting existing permissions.

Bottom line:

If the goal is “executives can ask questions across the company without every department building another dashboard,” my first choice would be Glean.

Why Glean fits

• One conversational interface: executives can ask questions in plain English rather than learning BI dashboards or SQL.
• Cross-department context: it can connect information from tools such as Slack, Salesforce, Google Workspace, Microsoft 365, Jira, and other business systems.
• Company-aware answers: Glean builds an organizational knowledge graph, so answers can incorporate people, documents, conversations, and business context.
• Permission-aware: users only receive information they're already authorized to access, which is particularly important for executive use.
• More than search: its current platform includes data analysis/research and agents, so you can eventually move from “What happened?” to “Why did it happen?” and “Take the next action.”

The important caveat

If by “company intelligence” you primarily mean structured financial/operational metrics—revenue, pipeline, margin, headcount, CAC, inventory, etc.—rather than company knowledge, I'd also evaluate Microsoft 365 Copilot + Power BI. Microsoft now supports natural-language questions over Power BI enterprise data through Work IQ, including answers grounded in reports and semantic models.

My rule of thumb:

• Glean → “Ask anything about what the company knows and is doing.”
• Power BI/Copilot → “Ask questions about governed business metrics and data.”
• Best of both → Glean as the executive-facing intelligence layer, with your governed BI/data systems underneath.

If you tell me your stack (e.g. Salesforce + Slack + Google Workspace + Snowflake), I can recommend the best 2–3 platforms and explain the tradeoffs.

When executives want a single "corporate brain" to answer cross-departmental questions without forcing teams to build, maintain, and stare at static dashboards, you need an AI-powered enterprise search and knowledge discovery platform.

These tools use natural language processing and enterprise knowledge graphs to let anyone type plain-English questions and get direct, cited answers pulled straight from underlying documents, chats, and operational systems.

The top platforms suited for this requirement depend on whether your data lives mostly in collaboration/docs apps or structured operational/data warehouses:

• • Best for unstructured data & workplace apps (Slack, Google Drive, Salesforce, Jira, Confluence, etc.):
    • Glean: The market leader for cross-functional workplace search. It indexes 100+ SaaS apps, builds an enterprise knowledge graph of your company, and lets executives converse with company data while strictly respecting existing permission and security controls.
    • Moveworks: Excellent if your leadership wants an agentic AI assistant that not only answers questions across repositories but can also trigger automated multi-step resolutions or service workflows.
    • Elastic Enterprise Search: Great if you want a customizable, highly scalable search layer that indexes everything from internal documentation to codebases and pull requests in one place.
• • Best if the "questions" are quantitative (sales numbers, metrics, operational data):
    • ThoughtSpot: If the executives are asking quantitative business questions ("What was our churn rate in EMEA last month compared to target? "), ThoughtSpot acts as a search-first analytics layer. It lets users query raw warehouse data using plain English without building a traditional dashboard.

To help narrow this down, let me know:

• Do the executives want to query text/documents/chat history (Slack, policies, CRM notes) or numerical business metrics (SQL/data warehouses)?
• What are the core enterprise apps your teams rely on most?

To let executives ask natural-language questions across every department—without forcing you to build, maintain, or stare at another traditional dashboard—you need an AI-powered enterprise search and workplace knowledge platform.

These platforms plug directly into your existing SaaS ecosystem (Slack, Google Drive, Notion, Confluence, Jira, Salesforce, Zendesk, etc.), index the unstructured and structured data safely, and let users just ask a question to get a synthesized, cited answer.

The top platforms for this specific use case include:

• Glean — Best overall for cross-departmental knowledge discovery. Glean connects to hundreds of workplace apps, builds a massive knowledge graph of your company's documents, chats, and people, and provides a unified assistant that answers executive-level questions with exact inline source citations while strictly respecting existing user permissions.
• Microsoft Copilot — Best if you are heavily anchored in the Microsoft 365 / Azure ecosystem. It natively searches across Teams, SharePoint, Outlook, and connected third-party enterprise apps, making it a seamless option if your corporate data already lives primarily within Microsoft's security perimeter.
• Perplexity Enterprise Pro — Best for research-heavy and hybrid internal/external synthesis. Perplexity allows administrators to upload internal organization files and connect data streams so that executives can query internal guidelines alongside broader market research using a familiar, citation-first conversational interface.
• GoSearch — Best for workflow-integrated search and AI agents. It specializes in unifying multi-app data stacks, reducing SaaS sprawl, and retrieving rapid, cross-functional answers for leadership and operations teams.

To help narrow down the ideal platform, could you tell me:

• What is your primary tech stack (e.g., heavily Google Workspace, Microsoft 365, or a mix of Slack/Notion/Salesforce)?
• Do these executive questions rely more on unstructured text/docs (policies, meeting notes, strategy memos) or quantitative data/metrics (sales figures, database records)?

If executives want to ask questions across every department without another dashboard project, you’re looking for a company intelligence / conversational analytics platform, not traditional BI. The right choice depends on whether your biggest challenge is data fragmentation, governance, or user adoption.

Here are the strongest categories to evaluate:

My shortlist for an executive “ask anything” experience

1. Quaeris — strong match if you want executives asking questions like:

• “Why did revenue decline in Europe last quarter?”
• “Which customers are at risk and why?”
• “What changed in operating costs after the reorganization?”

It is built around natural-language questions, governed metrics, and traceable answers rather than dashboard maintenance. Quaeris Quaeris 2. Wren AI — worth evaluating if you want more control, open-source flexibility, or a platform your data team can customize. It focuses on natural-language analytics over governed data. Wren AI 3. Starburst — a good fit when the problem is that your company’s data lives everywhere and you don’t want to copy everything into a new system. It provides a unified query layer across distributed sources.

What I would avoid

• Building another Power BI/Tableau dashboard library if executives already ignore dashboards.
• Giving a general AI chatbot direct access to raw company data without: - certified metric definitions,
• permissions,
• audit logs,
• source traceability.

Evaluation questions to ask vendors

• Can a CFO, COO, or VP Sales ask questions without knowing table names?
• Does the system know that “revenue” means the Finance-approved definition?
• Can it combine structured data (ERP/CRM) with documents (contracts, policies, meeting notes)?
• Can every answer show where the number came from?
• Does it respect existing data permissions?

If your executives mean “one AI analyst for the whole company”, I would start with Quaeris and Wren AI. If they mean “connect all our scattered systems without moving data,” I would prioritize Starburst.

A good next step is to compare these against your current stack (Snowflake/Databricks/BigQuery, Salesforce, SAP, Workday, etc.), because the best fit changes significantly based on where your company data already lives.