Automate data engineering
Sequence customer files, vendor feeds, operational databases, warehouse jobs, BI reports, Slack outputs, and downstream handoffs with visible dependency graphs.
Run the workflows behind financial operations, reconciliation, and AI
Run the financial operations workflow behind files, reconciliation, collections reporting, and AI context.
Mage
I created the financial workflow and prepared it for review.
- wait for customer, SFTP, and vendor files
- validate schemas, account logic, and reconciliations
- publish metrics, alerts, and governed handoffs
- register account context with lineage and permissions
You can inspect the dependency graph, checks, lineage, delivery status, and context artifacts before downstream teams or agents use the output.
Mage helps financial services teams govern file sequencing, reconciliation, collections, reporting, and account-context workflows.
Overview
Modernize financial data workflows from operations to AI
Mage helps financial services teams turn file operations, reconciliation, reporting, and AI context into governed workflows instead of scattered scheduler jobs, scripts, and dashboards.
Modernize legacy data models
Move file mapping, reconciliation, collections reporting, and lakehouse business logic out of cron, bash, local PCs, spreadsheets, and undocumented notebooks.
Prepare AI-ready context
Package account, customer, collections, support, advisor, risk, and metric context with lineage, definitions, auditability, and permission boundaries.
Use cases for financial services
Each use case starts with work financial teams already run: files that need sequencing, operations that need governed reports, and agents that need trusted account context.
Customer and vendor file orchestration
Sequence customer files, vendor feeds, SFTP drops, schema checks, transformations, reconciliation, and downstream handoffs in one visible workflow.
SFTP, vendor, and customer files feed a Mage dependency graph for validation and reconciliation before warehouse, advisor, alerting, and AI context outputs.
Sources
Custodians
Customers
SFTP
Vendors
File workflowFiles become one governed dependency graph.
Waitfiles
Validateschemas
Transformmappings
Reconcileoutputs
Outputs
Warehouse
Advisor systems
Observability
AI mapping context
Financial data workflows break where tools stop
The workflows break where financial teams already feel the pain: files arrive out of order, reports run from fragile jobs, context is scattered, and outputs need to trigger action.
Move Stripe customer data into BigQuery every weekday before 8am.
Stripe
Files arrive out of order. Customer and vendor files arrive with schema changes, missing dependencies, and downstream jobs that cannot safely run early.
Why did revenue freshness drop?
The Stripe ingest arrived 42 minutes late, delaying the customer revenue model.
Stripe ingest delayed 42 min
Operations run from fragile jobs. Collections, risk, BI, and support workflows depend on cron chains, laptops, exports, and jobs nobody wants owning in production.
Customer syncRun delayed
Inspect run
Late source foundRetry availableOpen logs
AI context is scattered. AI assistants need account and customer context, but definitions, lineage, freshness, and permissions are scattered across tools.
Pipeline
Table
Chart
File
AnswerRevenue freshness dropped after the Stripe ingest arrived late.
Outputs must trigger action. Reports, APIs, advisor systems, Slack alerts, observability, and exception queues need governed delivery, not another warehouse-only handoff.
One financial workflow becomes governed execution
Mage turns fragile financial data work into visible dependencies, checks, handoffs, and reusable context.
Run our daily financial operations workflow. Wait for customer and vendor files, validate account logic, reconcile outputs, publish collections metrics, and prepare context for analysts and agents.
The financial workflow is ready to review. I connected the file dependencies, added reconciliation checks, prepared delivery outputs, and registered reusable account context.
Customer activity
3open support tickets34 daysto renewal
Ask. Start with the file feed, report, reconciliation job, or account-context workflow that keeps breaking.
Sequence. Mage sequences sources, files, warehouse jobs, dependencies, and business rules.
Validate. Checks catch schema changes, missing files, stale account data, failed writes, and mismatched outputs.
Reconcile. Mage compares legacy and modernized outputs before the new workflow becomes the source of truth.
Deliver. Operational outputs reach warehouses, advisor systems, Slack, BI, APIs, reports, and exception queues.
Context. Lineage, definitions, run history, and permissions become context analysts and agents can reuse.
What Mage governs across financial workflows
File dependency orchestration Customer and vendor files can arrive out of order. Mage waits, validates, retries, and continues only when dependencies are ready.
Reconciliation checks Compare old and new outputs across account logic, row counts, schema changes, metric definitions, and business rules.
Operations modernization Move collections, risk, BI, and support workflows out of laptop jobs, local scripts, and opaque scheduler chains.
Action surfaces Deliver governed outputs to warehouses, advisor systems, BI, Slack, email, APIs, and observability tools.
Context registration Register definitions, lineage, permissions, run history, and exceptions as reusable context for teams and agents.
Permission-aware AI context Expose scoped account, customer, risk, support, and metric context to analysts, advisors, support teams, and agents.
Start a trial
Talk with Mage about production data workflows, AI-ready context, managed deployments, and security requirements for your team.