SOLUTION · DATA ANALYSIS

Answers in minutes, not a BI ticket

A governed data analyst across your warehouses, business systems, and documents, wherever the answer lives. Every query runs with the asker’s own permissions, sensitive pulls wait for a human sign-off, and it all runs in your environment.

THE SITUATION

Which customers are affected, and what does it cost us? Answering that simple question takes three systems, two access requests, and a week of someone’s time. The person who knows the warehouse isn’t the person who knows the CRM, and the spreadsheet that joins them is stale the day it ships.

THE SITUATION

Which customers are affected, and what does it cost us? Answering that simple question takes three systems, two access requests, and a week of someone’s time. The person who knows the warehouse isn’t the person who knows the CRM, and the spreadsheet that joins them is stale the day it ships.

How it works

snowflakeconnector
redshiftconnector
crmconnector
financeconnector
docs · sheetsmcp
data analyst
asker’s permissionsnamed identity · scoped read
answer14 accounts affected, $1.2M ARR at risk
evidence
09:41Snowflake: affected accounts
09:41Finance: ARR by account
09:42CRM: account owners
Pull customer records·DDanaawaiting approvalapproved

ASK

A question in plain language, from Slack, Teams, or the AI Workspace.

ACCESS, SCOPED

Through xpander connectors and MCP, the agent reads each system with the asker’s own permissions, and nothing more.

JOIN AND ANALYZE

It crosses records from systems that were never designed to meet, warehouse to CRM to finance and beyond, and shows its work.

ANSWER, GATED

The answer lands with its evidence attached. Sensitive pulls and anything leaving the company wait for a named human.

Because it runs inside your VPC, the analysis happens where the data lives. Records never leave your perimeter to be analyzed.

How it works

snowflakeconnector
redshiftconnector
crmconnector
financeconnector
docs · sheetsmcp
data analyst
asker’s permissionsnamed identity · scoped read
answer14 accounts affected, $1.2M ARR at risk
evidence
09:41Snowflake: affected accounts
09:41Finance: ARR by account
09:42CRM: account owners
Pull customer records·DDanaawaiting approvalapproved

ASK

A question in plain language, from Slack, Teams, or the AI Workspace.

ACCESS, SCOPED

Through xpander connectors and MCP, the agent reads each system with the asker’s own permissions, and nothing more.

JOIN AND ANALYZE

It crosses records from systems that were never designed to meet, warehouse to CRM to finance and beyond, and shows its work.

ANSWER, GATED

The answer lands with its evidence attached. Sensitive pulls and anything leaving the company wait for a named human.

Because it runs inside your VPC, the analysis happens where the data lives. Records never leave your perimeter to be analyzed.

SCOPED

It answers as the person asking

The agent inherits the asker’s permissions at query time. Finance sees finance, sales sees sales, and the same question gets different answers for different people, exactly as your access model intends.

Which customers are affected, and what does it cost us?
Ffinance
answer14 accounts affected$1.2M ARR at risk
Ssales
answer14 accounts affectedARR hidden
same question · scoped answers

SCOPED

It answers as the person asking

The agent inherits the asker’s permissions at query time. Finance sees finance, sales sees sales, and the same question gets different answers for different people, exactly as your access model intends.

Which customers are affected, and what does it cost us?
Ffinance
answer14 accounts affected$1.2M ARR at risk
Ssales
answer14 accounts affectedARR hidden
same question · scoped answers

SPEED

Self-service, governed

Anyone you authorize asks directly, the analysis starts at machine speed, and your analysts review conclusions instead of pulling extracts.

SPEED

Self-service, governed

Anyone you authorize asks directly, the analysis starts at machine speed, and your analysts review conclusions instead of pulling extracts.

GOVERNANCE

Governed at every query

01

IDENTITY

The analyst is named, and every query runs with the asker’s own access through your identity provider.

02

POLICIES

Reads follow permissions; sensitive pulls and anything shared outside wait for a named human.

03

BUDGETS

Per question and per agent; you know what an analysis costs.

04

AUDIT

Every query, join, and answer, in your logging systems.

GOVERNANCE

Governed at every query

01

IDENTITY

The analyst is named, and every query runs with the asker’s own access through your identity provider.

02

POLICIES

Reads follow permissions; sensitive pulls and anything shared outside wait for a named human.

03

BUDGETS

Per question and per agent; you know what an analysis costs.

04

AUDIT

Every query, join, and answer, in your logging systems.

See it run

A question asked in the AI Workspace, answered across Salesforce, Snowflake, and Stripe with the evidence attached.

See it run

A question asked in the AI Workspace, answered across Salesforce, Snowflake, and Stripe with the evidence attached.

See it run

A question asked in the AI Workspace, answered across Salesforce, Snowflake, and Stripe with the evidence attached.

Questions we hear from IT leaders

AI agents working across the data-to-insight workflow: they query, join, and analyze instead of waiting for a dashboard request. xpander runs them governed: the asker’s permissions, human sign-offs on sensitive data, and a full audit trail.

Your environment

Your data stays where it lives; the analyst comes to it. VPC, on-premises, air-gapped, or xpander’s cloud. Audit into your SIEM.

Your environment

Your data stays where it lives; the analyst comes to it. VPC, on-premises, air-gapped, or xpander’s cloud. Audit into your SIEM.

Your first governed analyst, live in days

Your data stack, your access model, your first governed analyst running. Your team owns and extends it from there: it’s built from the same platform constructs as everything else on xpander.