Connections and pipelines that make systems act as one
Boltout wires the tools a business already runs, CRMs, billing, warehouses, and internal apps, into reliable pipelines that put the same numbers in front of every team. Fewer copy-paste workflows, fewer stale spreadsheets, one source of truth.
Typical engagement
2–8 weeks per integration set
Core stack
n8n, APIs, PostgreSQL
Built for
Sync, pipelines, event flows
How Boltout applies it
In Boltout products
Every Boltout product runs on the same connective layer we sell: payment events feed reporting, support tools read live product data, and operational dashboards update without anyone exporting a CSV.
Inside ventures
Studio ventures inherit working data plumbing on day one. Billing, analytics, CRM, and messaging talk to each other from the first release, so founders see real numbers instead of reconciling three tools by hand.
With partners
Partners usually arrive with systems that already work but do not talk. We map the flows, define the contracts between systems, and ship integrations with monitoring, so failures surface in an alert rather than a month-end surprise.
What this covers
- API integrations across REST, GraphQL, and webhooks
- CRM and ERP sync with clean field mapping
- Billing and payment data flows into reporting
- ETL and ELT pipelines into a warehouse or lake
- Event-driven automations on queues and workflows
- Data models and reporting layers teams actually use
- Migrations and backfills with validation on both ends
- Pipeline monitoring, retries, and alerting
How it works
Map the systems
Inventory what runs today, which system owns each record, and where the numbers disagree. The map decides what syncs, what migrates, and what gets retired.
Design the contracts
Each connection gets an explicit contract: fields, direction, frequency, and what happens on conflict. Ambiguity here is where integrations rot, so it is settled before any build.
Build and backfill
Integrations ship behind monitoring from the first run. Historical data is backfilled with validation on both ends, so old records and live events land in the same shape.
Monitor and extend
Pipelines are operated, not abandoned: retries, alerting, and schema-change handling keep flows healthy, and new systems join an architecture built to accept them.
Stack we reach for
- n8n
- PostgreSQL
- Airbyte
- Kafka
- Temporal
- Redis
- Metabase
- HubSpot
- Attio
- Stripe
Common questions
Anything with an API or an export: CRMs like HubSpot and Attio, billing systems like Stripe, ERPs, warehouses, spreadsheets that act as databases, and internal tools. Where no API exists, we build the bridge or automate the interface.
Yes. Rescues are common: we audit the existing flow, add monitoring so failures become visible, then repair or rebuild the weakest links first. Most rescues stabilize within the first two weeks.
Every connection has a declared system of record, conflict rules, and validation on both ends of a backfill. Monitoring compares counts and totals continuously, so drift is caught by an alert rather than a quarterly audit.
Related specializations
Need this on your product?
Engage the team that applies integrations & data to Boltout's own products, or bring the opportunity to the studio.