snowflake
Execute SQL
Run revenue, churn, and expansion metric queries against the Snowflake data warehouse.
The scenario uses specific integration tools at each step, while Metorial keeps access scoped and visible.
Execute SQL queries for MRR, churn rate, net revenue retention, and expansion revenue for the reporting period, polling for async query completion.
Create a dated directory in the OneLake staging area and confirm the file structure is ready to receive the query output.
Locate the Data Factory pipeline responsible for refreshing the finance reporting dataset and verify its configuration before triggering a run.
snowflake
Run revenue, churn, and expansion metric queries against the Snowflake data warehouse.
snowflake
Poll for completion of async queries before retrieving results.
microsoft-fabric
Inspect the current state of the OneLake staging directory.
microsoft-fabric
Create a new directory for the monthly results if it does not exist.
microsoft-fabric
Identify the finance reporting refresh pipeline.
microsoft-fabric
Confirm pipeline configuration before triggering.
Integration
Execute SQL statements and manage cloud data warehouse resources on Snowflake. Run queries synchronously or asynchronously, manage databases, schemas, tables, warehouses, users, roles, grants, tasks, stages, streams, and pipes. Ingest data via Snowpipe batch loading or Snowpipe Streaming for low-latency continuous ingestion. Access Cortex AI services for search, inference, and embeddings. Configure outbound notifications to Slack, Microsoft Teams, PagerDuty, email, or cloud queues (SNS, PubSub, Event Grid). Supports multi-statement transactions, resource creation and alteration without SQL, and dynamic tables.
Integration
Use Microsoft Fabric REST, OneLake data-plane APIs, and Fabric documentation resources to inspect workspaces and items, move files through OneLake, create Fabric items, and manage Data Factory pipelines and dataflows.
Outcome 1
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Outcome 2
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Outcome 3
Metorial keeps the workflow connected, governed, and traceable across the systems involved.
Metorial is the governed connection layer between your AI agents and the tools your company runs on. It turns workflows like aggregate snowflake revenue data into microsoft fabric for finance reporting into something you can deploy quickly, safely, and at scale.
Fast
Connect 1000+ verified integrations through one Magic MCP URL instead of building and maintaining bespoke connectors for each system in this workflow.
Secure
Protoguard inspects every message and tool call for prompt injection and policy violations before an agent touches your systems.
Enterprise
Agents act on real identity under company SSO, with per-user and per-group access policies and a complete, searchable record of everything that happens.
Team ready
Package this workflow as a skill, attach the tools it needs, and let teammates run it through Portals — governed by admins, owned by the people who do the work.
The Metorial products that connect, govern, and observe this scenario.
Connectivity
Start from 1000+ verified integrations or bring your own, and give every one a governed path to your agents under existing SSO and access policies.
Connectivity
A single URL your AI client connects to. Sign in with the login you already use and your agent reaches every integration and tool you allow — no per-app setup.
Identity
Sign in with company SSO, set policies per user and group, and let agents act on real identity across every connected system in this workflow.
Governance
Metorial’s security layer reviews every message and tool request before an agent acts — catching prompt injection and blocking anything outside your policies.
Observability
A complete, searchable record of everything your agents, team, and machines do across these integrations, so you can trust the workflow in production.
Governance
Let teammates connect agents to the integrations and skills your company already uses, with admins deciding who gets access to what.
However you adopt AI, Metorial has a path for connecting it safely.
Solution
Give the agents behind this scenario governed access to every tool and integration they need, with one connection layer instead of bespoke glue code.
Solution
SSO, granular access control, security review, and full audit trails so this workflow meets enterprise governance and compliance requirements.
Solution
Let the people who do this work connect their own AI agents to approved integrations and reusable skills — safely, without waiting on engineering.