Your AI is only as trustworthy
as your data.
Every CAMS agent runs on data. DataFoundation takes that data from fragmented, inconsistent, and ungoverned to clean, unified, and production-ready, before a single agent ever touches it. ConnectCore is the integration fabric that reaches into every enterprise system to make it possible.
Built for Data Engineers · CDOs · Platform Architects
How data moves through CAMS
Source systems to agent-ready data.
ConnectCore extracts. IngestIQ stages and validates. AssuraDQ cleans and deduplicates. ModelFrame unifies. VaultGuard secures. Govern360 tracks lineage. Every agent downstream gets clean, governed, trustworthy data, or it doesn't run.
Source Systems
ERP, CRM, OT, APIs
ConnectCore
Integration layer
DataFoundation
Ingest → Clean → Govern
AgentMind
Intelligence layer
AgentOS
Agent deployment
Layer 4, ConnectCore
Enterprise system integration fabric
Four connector families that reach into every enterprise system your data lives in, databases, ERPs, CRMs, BPMs, middleware, and event streams. ConnectCore is the first thing that needs to work before anything else in CAMS can. Nothing in CAMS is proprietary about your source systems.
DataBridgeEnterpriseLinkFlowSyncMiddlewareRelay
Layer 5, DataFoundation
Clean, unified, governed data
Five components that take raw enterprise data from every source system and transform it into a single, clean, trustworthy foundation. No agent in CAMS operates on unvalidated data. DataFoundation is the mandatory upstream layer for the entire platform.
IngestIQAssuraDQModelFrameVaultGuardGovern360
DataFoundation, Five Components
From raw data to production-ready foundation.
Each DataFoundation component handles a specific transformation in the data lifecycle. They run in sequence, IngestIQ stages, AssuraDQ cleans, ModelFrame unifies, VaultGuard secures, Govern360 tracks. Together, they ensure every agent downstream can trust what it runs on.
QualityData Quality & MDM
Fix what's wrong with your data. Once. Reliably.
Covasant's proprietary data quality and Master Data Management solution. Fixes duplicates, conflicts, missing values, type errors, and referential integrity violations. Maintains a single trusted master record for key entities, customers, vendors, products, assets. Automated profiling, ML-based cleansing, probabilistic and deterministic entity matching, survivorship rules, and stewardship workflows for human review of edge cases.
GovernanceData Governance & Lineage
Full lineage from source system to agent decision
Automated end-to-end data lineage graph, business data catalogue with ownership and classification metadata, policy engine for retention/residency/access/usage, regulatory compliance mapping (GDPR, CCPA, HIPAA, PCI-DSS), data contract management, impact analysis, which agents are affected if this dataset changes. Stewardship assignment and task management across the organisation.
Batch, streaming, and real-time ingestion from any source
Kafka, Pub/Sub, Kinesis-compatible. Schema detection and enforcement. Data format normalisation (JSON, Parquet, Avro, CSV, XML). Incremental load management. Dead letter queue handling. Lineage tracking from first byte. Volume scaling on GCP.
One definition of "customer", "vendor", "asset" across every source
Domain data model library with pre-built canonical schemas for financial, healthcare, manufacturing, and retail. Model versioning and change management. Cross-source field mapping. Semantic layer API for business-friendly entity naming. The shared data contract all CAMS agents reason against.
Field-level security at the data layer, independent of application security
Field-level encryption at rest and in transit, dynamic data masking by role and context, PII detection and classification, attribute-based access control, tokenisation, DLP controls for agent outputs, GCP KMS integration, full audit log of every data access event.
1
Trusted master record per entity, no more conflicting versions of the same vendor or customer
4+
Regulatory frameworks mapped in Govern360, GDPR, CCPA, HIPAA, PCI-DSS
0*
PII exposure when VaultGuard field-level masking and DLP controls are active
GCP
Native infrastructure, BigQuery, Pub/Sub, and GCP KMS deeply integrated throughout
Reach into every enterprise system. Without rebuilding them.
ConnectCore meets your existing systems where they are. No replacement, no rip-and-replace, no parallel infrastructure. Four connector families cover databases, enterprise applications, BPM platforms, and middleware, with bidirectional write-back so agent outputs can flow back into source systems.
Data Source Connectors
Databases, warehouses, lakes, and file stores
Pre-built connectors for every major structured and unstructured data source. CDC (Change Data Capture) support for real-time extraction. Schema drift detection and alerting. Extraction watermarking for incremental loads. Connector health monitoring.
PostgreSQLMySQLSQL ServerOracleBigQuerySnowflakeRedshiftS3GCSMongoDB
ERP, CRM & HRMS Connectors
Semantically-aware connectors for major enterprise applications
Goes beyond raw data extraction, provides entity-mapped outputs that align with ModelFrame canonical schemas. Delta sync for changed records. Bidirectional write-back capability so agent outputs flow back into source systems. OAuth and API key authentication management.
SAP S/4HANASAP ECCOracle ERP CloudSalesforceWorkdayServiceNowDynamics 365
BPM Connectors
Agents that participate in business processes, not just sit beside them
Connects CAMS agents to BPM and workflow platforms, enabling them to receive process events, create and update tasks, and feed process telemetry into InsightEngine. Event subscription, task injection, webhook and event bus integration. Agents become native participants in your business workflows.
SAP BTPIBM BPMCamundaPegaAppianPower Automate
Middleware & API Connectors
CAMS as a first-class citizen in your existing integration architecture
ESBs, API gateways, message brokers, and event streaming platforms. REST and GraphQL consumption and publication. OpenAPI spec import for rapid connector generation. Schema registry integration. Dead letter queue management. Connection pooling and rate limit management.
MuleSoftIBM MQApache KafkaGoogle Pub/SubRabbitMQAzure Service Bus
Getting started
Three paths to a production-ready data foundation
DataFoundation and ConnectCore can be deployed progressively. Start where your biggest data pain is, quality, governance, or connectivity, and expand across the full stack as your AI programme matures.
01
For teams with an immediate data quality problem
Start with AssuraDQ + IngestIQ
Connect your priority data sources via ConnectCore. Stage and validate with IngestIQ. Run AssuraDQ to build your first clean master data domain. Most teams see their first trusted master record set within four to six weeks of starting.
02
For teams with governance and compliance requirements
Govern360 + VaultGuard as a compliance layer
Deploy Govern360 and VaultGuard as a governance wrapper over your existing data estate. Lineage tracking, PII classification, DLP controls, and GDPR/CCPA/HIPAA compliance mapping, without replacing your current data infrastructure.
03
For enterprise teams deploying CAMS platform-wide
Full DataFoundation + ConnectCore stack
Deploy the complete nine-component data infrastructure as the foundation for all CAMS agents across the enterprise. Every agent upstream benefits from a unified, clean, governed, secure data layer, with full lineage from source to agent decision.
See AssuraDQ running on
your actual enterprise data.
We'll connect to a sample of your data sources, run AssuraDQ profiling, and show you exactly what your data quality landscape looks like, and what it costs your AI programme today. No commitments, no slides.