productivityContext + Make
Transform Make visual automation intelligence into searchable organizational knowledge with an enterprise-grade knowledge graph
OVERVIEW
Make (formerly Integromat) is the visual automation platform where teams build sophisticated integration scenarios that connect applications, transform data, and orchestrate complex business processes -- through visual scenario builders that make automation logic accessible, module configurations that encode precise API interactions, and routing logic that directs data flow based on business rules. Over time, Make accumulates critical operational intelligence: which business processes depend on automated scenarios, how data transforms as it flows through module chains, what error handling and retry logic protects mission-critical workflows, and which team-built scenarios encode undocumented business rules through filters, routers, and aggregators. But this knowledge remains embedded within individual scenario configurations, disconnected from the business context in your CRM, the project management workflows in Jira, and the communication patterns in Slack.
Context connects to your Make organization and extracts the organizational knowledge embedded in scenario configurations, module connections, data mapping logic, error handlers, router conditions, and webhook configurations. Using permission-aware indexing that respects your Make organization team structure and folder permissions, Context builds a knowledge graph that maps relationships between automated scenarios, connected applications, data transformations, team owners, and the broader context from your entire tool stack.
Unlike Make's built-in execution history that focuses on run-level metrics, Context maps Make scenarios into your organizational knowledge graph alongside every tool they connect. Your scenario configurations, module settings, and automation logic are processed entirely on your infrastructure -- on-premise, in your VPC, or in air-gapped environments. For organizations where visual automation encodes sensitive data routing, compliance-critical workflows, or customer data processing pipelines, Context ensures this intelligence remains within your security boundary while making it searchable and actionable. Every answer is backed by citations to specific Make scenarios and module configurations, maintaining full traceability.
KEY CAPABILITIES
Key Capabilities
- 01Permission-aware indexing of Make scenarios, module configurations, data mappings, and webhook definitions that respects organization team structure and folder permissions
- 02Visual scenario topology mapping that captures the complete data flow through module chains, routers, filters, and aggregators, documenting the logic of complex multi-branch automation scenarios
- 03Data transformation knowledge extraction that indexes Make's mapping functions, filters, and data manipulation logic, documenting how business data is transformed as it moves between systems
- 04Error handling pattern analysis that captures iterator, aggregator, and error handler configurations, documenting how scenarios handle failures, retries, and edge cases in production workflows
- 05Cross-tool automation correlation that links Make scenarios to the applications they connect, mapping webhook triggers to source systems and module actions to destination applications across your tool stack
- 06Scenario dependency mapping that identifies shared connections, reused data stores, and webhook chains between scenarios, revealing hidden dependencies in your automation infrastructure
USE CASES
Use Cases
Automation Architecture Documentation and Discovery
As organizations build hundreds of Make scenarios across teams, understanding the complete automation architecture becomes challenging. Context indexes all scenario configurations into a searchable knowledge graph, enabling teams to ask "what Make scenarios process customer orders?" or "which automations synchronize data between our CRM and ERP?" and receive comprehensive answers with visual scenario topology and citations to specific module configurations.
Data Flow Compliance and Privacy Auditing
For organizations subject to GDPR, CCPA, or industry-specific data handling requirements, understanding how personal data flows through automated scenarios is essential. Context maps Make data routing patterns, transformation logic, and module connections into a searchable knowledge graph. Privacy teams can ask "which Make scenarios process customer email addresses?" or "what automations transfer data to third-party services?" and receive citation-backed answers tracing data flows through specific scenario configurations.
Automation Reliability and Incident Investigation
When automated business processes fail, teams need to quickly understand scenario configurations, error handling logic, and module dependencies. Context provides instant searchable access to Make scenario architectures linked to the business processes they support. Engineers can ask "what error handling exists in the invoice processing scenario?" or "which scenarios depend on the Salesforce connection?" and receive detailed answers about scenario structure and failure modes.
Tool Migration Impact Analysis
Before replacing a business application, organizations need to understand which Make scenarios connect to it and what data flows would be disrupted. Context maps all Make module connections to each application, answering questions like "which scenarios use the legacy inventory API?" or "how many automations would break if we migrate from Mailchimp to SendGrid?" -- enabling informed migration planning with full visibility into automation dependencies.
HOW IT WORKS
How It Works
DATA FLOW
SECURITY & COMPLIANCE
Security & Compliance
SOC 2 Type II
GDPR
HIPAA
ISO 27001DEPLOYMENT
Deployment Options
DEPLOYMENT ARCHITECTURE
FREQUENTLY ASKED QUESTIONS
Frequently Asked Questions
How does Context connect to Make?
Context integrates with Make through the platform's API using a dedicated API token with read-only permissions. Once configured, Context indexes scenario configurations, module connections, data mappings, router logic, and webhook definitions. The connection is read-only -- Context never creates, modifies, or triggers scenarios. All indexing and processing happens on your infrastructure, whether deployed on-premise, in your VPC, or in an air-gapped environment.
Does Context access the actual data flowing through Make scenarios?
No. Context indexes scenario configurations -- the structure, modules, connections, data mappings, and routing logic -- but does not access the actual data payloads processed during scenario executions. The focus is on understanding what automations exist, how they are configured, and what applications they connect, not on the transactional data being processed.
How does Context handle Make's visual scenario complexity?
Context fully indexes Make's visual scenario elements including sequential module chains, routers with multiple branches, filters, iterators, aggregators, and error handlers. This captures the complete automation logic, including complex branching paths and data transformation sequences. Context represents these visual topologies in the knowledge graph, making it possible to search and understand sophisticated multi-branch scenarios.
Can Context identify which Make scenarios would be affected by an API change?
Yes. By indexing all scenario module configurations and connection metadata, Context can surface which scenarios use specific APIs, connections, or modules. Teams can ask "which scenarios use the Shopify API v2 module?" and Context will identify all affected scenarios with citations, enabling proactive migration planning when APIs change or modules are deprecated.
How does Make integration differ from the Zapier integration?
While both integrations index workflow automation configurations, the Make integration captures Make-specific constructs like visual scenario topologies, router branching logic, iterator/aggregator patterns, and data store configurations. Context normalizes both into the knowledge graph, so teams using both platforms can search across all automations with a unified query like "what automations connect our CRM to Slack?" regardless of which platform implements them.
SETUP OVERVIEW
Setup Overview
Connecting Make to Context requires Make organization administrator access and typically takes around 10 minutes. The process involves generating a dedicated API token with read-only permissions, configuring which Make teams and folders to index, and mapping Make organization roles to Context access controls. Context handles the rest -- indexing begins automatically and the knowledge graph starts building within minutes. No changes to your existing Make scenarios, connections, or data stores are required.
RELATED INTEGRATIONS
Related Integrations
Zapier
Connect Context to Zapier to extract workflow automation knowledge from Zap configurations, trigger-action patterns, and integration topologies across 5,000+ connected apps. On-premise deployment with permission-aware indexing.
Slack
Connect Context to Slack to surface organizational knowledge buried in conversations, threads, and channels. Permission-aware indexing with on-premise deployment.
Salesforce
Connect Salesforce CRM data to your enterprise knowledge graph. Surface account intelligence, opportunity insights, and relationship context across your entire organization.
HubSpot
Unify HubSpot marketing, sales, and service data in your enterprise knowledge graph. Connect campaign insights to deal outcomes and support interactions across every hub.
Google Drive
Connect Google Drive and shared drives to your on-premise knowledge graph. Context extracts full-text content from Docs, Sheets, Slides, and PDFs, linking documents to related conversations and tickets across your organization.
Ready to connect Make?
See Context + Make in action with a 30-minute technical walkthrough tailored to your environment.
BOOK A DEMO