Ask your business data a question in plain English and get a trusted, sourced answer in seconds. Deploy an AI analyst agent in a 5-day sprint.
Request a DemoEnterprise AI analyst agent for end-to-end natural-language business data analysis.
Build 1 unified Quick Index knowledge base across every connected source.
Ask business questions in plain language and get sourced answers in seconds.
Explain what moved last month, with the underlying drivers cited.
Flag unusual churn, inventory, or cost movements before leadership meetings.
Send sales, ops, or finance summaries automatically, with no manual pull.
Connects 50+ native sources: Redshift, S3, SQL Server, Salesforce, HubSpot.
Unify disconnected data, accelerate decision-making, and scale self-service reporting using an AI analyst agent for business teams.
Comprehensive natural language data analytics capabilities, from connected source to cited answer.
"Why did gross margin drop last month?", answered instantly, with the underlying drivers cited, instead of a ticket to the data team. Conversational BI also explains trends and flags what changed.
Unusual churn, inventory, or cost movements are flagged before they reach a leadership meeting. Anomaly detection runs continuously across your connected sources
CRM, ERP and spreadsheet data blended into one answer, without a data engineer in the loop. Self-service analytics turns every business user into a data analyst.
Business data sits in disconnected systems, so every question becomes a ticket. One unified knowledge base indexes all connected sources, so each answer draws on the same governed truth. Built on Amazon Quick.
Built for IT and data leaders who require governed access and full control over where business data lives.
Every user sees only the data their role permits. Access is enforced when the question is asked, not after the answer is generated.
The AI analyst agent runs inside your own environment on Amazon Quick. Business data is never moved outside your boundary to be analysed.
Each response cites the data it drew from. Teams trace any number back to its source instead of trusting an unexplained output.
Measurable outcomes across business, data, and executive teams, proven inside a single sprint.
1 live enablement workshop plus a 30-day usage playbook. Bring business unit leads, an IT or data lead, an executive sponsor, and up to 4 named business users.
Fixed scope, fixed price, and a working agent in your environment, delivered in weeks, not quarters.
Fixed-scope implementation including 30 days of post-launch support. Eligible customers may qualify for AWS funding credits.
50+ connected data sources, 1 unified Quick Index knowledge base, and 1 working AI analyst agent for natural-language Q&A, trend explanations and anomaly flags.
See how the agent answers on your own data.
Everything you need to know about the AI analyst agent and natural-language business Q&A.
An AI analyst agent turns every business user into a data analyst. You ask a question in plain language and get a trustworthy, sourced answer back in seconds.
The agent is built on Amazon Quick and deploys inside your own AWS environment, so self-service analytics runs where your data already lives.
Every answer cites the underlying data it drew from, so drivers can be checked rather than assumed. Governed, role-based access means the AI data analyst only ever queries data the user is permitted to see.
Yes. CRM, ERP and spreadsheet data are blended into one answer without a data engineer in the loop, and anomaly detection runs across all connected sources.
It connects 50+ native data sources and builds one unified Quick Index knowledge base across them. Natural language data analytics then answers questions, explains trends, and flags anomalies against that single index.
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