Two-way sync
Changes in Agiloft or Jms instantly reflect in both systems. No stale data, no manual imports.
Keep Agiloft and Jms in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Agiloft is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Jms is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.
Stacksync syncs People, Attachments, Approvals, Tasks in Agiloft with BytesMessage, Durable Subscription, Message headers and properties, Dead Letter Queue in Jms field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.
People and accounts in Agiloft stay matched to the users in Jms, so access, provisioning, and org changes propagate instead of being keyed in twice.
Open items, throughput, and error counts from Agiloft replicate into Jms, so the operational view reflects what is actually happening in the business.
Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Agiloft objects | Jms objects | How this pairing syncs | |
|---|---|---|---|
| Tasks Assigned action items with owners, due dates, and states tied to contracts or projects; synced two-way to surface Agiloft work inside a PM or operations system. | TextMessage Most common body type, carrying a String that is usually JSON or XML. Deserialized into rows/records on read and serialized from source records on write. | Tasks is specific to Agiloft and TextMessage to Jms — each maps to any object or custom field on the other side. | |
| Clause Library Reusable, approved contract clauses with metadata and categories; read to feed clause content into other systems or reporting, or maintained from an external source of truth. | MapMessage Body of typed name/value pairs that maps directly onto record fields, so no custom body parsing is needed on read or write. | Clause Library is specific to Agiloft and MapMessage to Jms — each maps to any object or custom field on the other side. | |
| Custom tables Agiloft is a no-code platform, so any customer-built table (NDAs, SOWs, vendor risk, renewals) exposes the same REST and SOAP CRUD and syncs like the standard CLM tables. | BytesMessage Raw binary body for files, protobuf, or opaque payloads; passed through as a byte stream when structured field mapping is not required. | Custom tables is specific to Agiloft and BytesMessage to Jms — each maps to any object or custom field on the other side. | |
| Contracts The core table holding contract records with value, key dates, status, type, and linked parties; created and updated two-way so contract data moves between Agiloft and a database, ERP, or CRM. | Durable Subscription Named topic subscription that retains messages while the consumer is offline, so a sync that disconnects does not miss events published in the meantime. | Contracts is specific to Agiloft and Durable Subscription to Jms — each maps to any object or custom field on the other side. | |
| Companies Records for every organization - counterparties, vendors, customers - linked to contracts and people; read and written to keep account master data aligned with a CRM or ERP. | Message headers and properties JMSCorrelationID, JMSReplyTo, JMSTimestamp, JMSType plus JMSX/application-defined properties; used for correlation, routing, and selector-based filtering. | Companies is specific to Agiloft and Message headers and properties to Jms — each maps to any object or custom field on the other side. | |
| People Parent table for individuals, split into Employees (internal users) and Contacts (external company contacts); synced to map signers, approvers, and account owners to CRM or HR records. | Dead Letter Queue Provider-managed destination (e.g. ActiveMQ.DLQ, IBM MQ dead-letter queue) where messages exceeding redelivery limits land; read to reconcile failed deliveries. | People is specific to Agiloft and Dead Letter Queue to Jms — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionAgiloft notifies Stacksync of record changes through webhook events. Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL.
DeliveryEach detected change is written to Jms through its API, with automatic retries and rate-limit backoff.
DetectionJms notifies Stacksync of record changes through webhook events. Asynchronous push — the broker delivers messages to registered consumers (MessageListener.onMessage) in real time, with no polling.
DeliveryEach detected change is written to Agiloft through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Agiloft–Jms connection.
Changes in Agiloft or Jms instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Agiloft or Jms data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Agiloft or Jms record.
Track your Agiloft ⇄ Jms sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Agiloft and Jms.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Agiloft and Jms with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Agiloft and Jms objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Agiloft and Jms: authenticate both systems, choose the objects to sync (such as Agiloft's Tasks and Clause Library), map fields visually, and changes propagate both ways in milliseconds — no code required.
Agiloft: Agiloft is a no-code platform: the schema is customer-configurable, so custom tables and fields expose the same REST and SOAP CRUD as the standard CLM tables. Jms: Only PERSISTENT delivery mode combined with a durable subscription survives broker restarts or consumer downtime; non-persistent messages can be dropped. Stacksync's field mapping accounts for these differences between Agiloft and Jms without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Agiloft and Jms records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Agiloft and Jms connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Agiloft–Jms integration in-house.
Yes — Stacksync ships production-grade connectors for both Agiloft and Jms. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Agiloft: Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL; otherwise poll each table by its Date Updated / modified-time fields. Agiloft has no database change-data-capture log. On Jms: Asynchronous push — the broker delivers messages to registered consumers (MessageListener.onMessage) in real time, with no polling. Message selectors (an SQL-92 subset over headers/properties) filter delivery. There is no modified-date polling or CDC replay, and queue consumption is destructive. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 286 integrations available for Agiloft and Jms.