The Integration Layer Enterprises Can No Longer Ignore

Every department picks its own tools. Engineering runs on Jira, support logs tickets in ServiceNow, sales lives in Salesforce, customer success tracks issues in Zendesk, and so on. Multiply that across subsidiaries, vendors, and managed service providers, and the average enterprise is now operating across 130 or more SaaS applications, most of which were never designed to talk to each other.

For years, the default response was to treat integration as an afterthought, with patch-up solutions that covered certain areas. But those methods have quietly collapsed under the weight of modern enterprise operations, where cross-company ticket synchronization and real-time data exchange across company boundaries is a baseline expectation.

Exalate, a Belgium-based enterprise integration solution founded in 2011, has spent the last 15 years embedded in this shift. Founded in 2011 as an Atlassian consultancy, the company spent its first four years helping enterprises set up and manage Jira, Confluence, and Bitbucket. In 2015, co-founders Francis Martens and Hilde Van Brempt shipped their first integration product to address a recurring client request: linking two Jira instances so that one team could raise issues resolved by the other.

That narrow problem turned out to be structural. Today, Exalate connects Jira, ServiceNow, Salesforce, Azure DevOps, Zendesk, Freshdesk, Freshservice, Asana, and other platforms for more than 2,500 customers worldwide.

When Two Companies Need Their Systems to Cooperate

Internal integration is hard enough. Cross-company integration is a different order of difficulty. Two organizations mean two budgets, two governance structures, two security policies, and two entirely different definitions of what "priority" means inside a ticket.

"Cross-company integrations are way more difficult because you have two teams with two budgets, two semantics," says Francis Martens, co-founder and CEO of Exalate. "People talk about priorities in completely different ways from one team to another."

Most integration tools attempt to solve this with centralized configuration, meaning a single set of rules governing both sides of the connection. In practice, this creates ownership problems, as neither organization wants the other, or a middleware vendor, dictating how its data is handled.

Exalate takes a different architectural approach. Instead of using a centralized broker where a single configuration governs both sides, it gives each organization's administrator independent, granular control over its own end of the integration. Each side decides exactly what data is sent, what is received, and how it is transformed through an integration platform with scripting engine capabilities that handle field-level mapping, conditional sync rules, and data conversion between incompatible formats. Additionally, a side-by-side configuration view lets admins see precisely what is being shared and how it will appear on the other end.

The result is bidirectional synchronization, where two companies can exchange ticket updates, project status, and incident information in real time without either party having to open its system to the other or communicate every internal workflow change. For organizations that need to sync Salesforce cases to Jira automatically or achieve multi-vendor collaboration tool sync across a partner network, this architecture means each party retains full authority over its own data and rules.

That design has found traction in environments where security and operational independence are non-negotiable. WirelessCar, for example, a connected-car services provider working with major automotive manufacturers, uses Exalate to synchronize its Jira instance with customers' ServiceNow systems across an expanding network of partners. DPG Media, a European media group that grew from 2,000 to 8,000 employees through acquisitions, used Exalate to consolidate fragmented Zendesk and Jira workflows across its expanding organization.

The Maintenance Problem Nobody Talks About

Exalate's primary competition isn't another integration vendor. It's the internal developer who stitches a few APIs together over a long weekend. The result may work at first, but as new requirements arise from added fields and workflows shift, these homegrown connections are difficult to sustain and even harder to hand off.

The rise of AI-assisted "vibe coding" has only made this problem more prescient. Teams can now generate a working integration from a prompt in a matter of hours, covering roughly 80% of their requirements out of the gate. But it's the remaining 20% (security constraints, ways to handle edge cases, and conditional logic) where these quick-start scripts fall short, and where organizations discover the gap between a demo and a production system.

"Let's say you're running a tech business, and someone vibe-coded integration and then leaves," Martens explains. "Where are you then?"

Maintenance, not setup, is the critical failure point. When a vendor changes its API, when a workflow is restructured, or when the engineer who built the integration leaves the company, organizations face costly rework with no observability into what broke and no unified way to diagnose and fix the problem.

Enterprise-grade integration requires something fundamentally different: determinism. Scripts need to execute predictably, produce results that can be traced and audited, and support error recovery when something fails, and black-box AI outputs that resist debugging do not meet that standard. For enterprises searching for the best ITSM integration tools for connecting disparate systems or the best Jira integration tool for enterprises, this distinction between quick-start convenience and long-term reliability is where evaluations should begin.

Exalate seeks to solve this by introducing a platform-agnostic API layer that acts as a middlepoint between the customer and the underlying vendor APIs, insulating integrations from changes on either side. Its AI assistant, Aida, generates Groovy scripts from plain-language descriptions, but those scripts then execute deterministically within the synchronization engine, with a step-by-step view of each action it takes. When issues arise, Aida also helps troubleshoot sync problems, greatly reducing the time administrators spend diagnosing errors.

Critically, integration data processed through Exalate never flows to (or trains) a language model. For companies that work in regulated environments or regularly deal with sensitive operational data, that separation between AI-assisted configuration and AI-dependent execution is a meaningful distinction.

Building the Piping for an Agent-Driven Future

Exalate's team sees the conversation around enterprise integration shifting once again, this time regarding autonomous AI agents. Purchasing agents, pricing agents, fulfillment agents, support agents, and more will cooperate around the clock to execute workflows that are currently done by humans.

But agents, like the teams they replace, need infrastructure to communicate. Hard-coded connections between two specific agents won't grow when a marketplace of services needs to be consumed dynamically. "We're going to an agent-based economy where agents will do most of the work," Martens explains. "But these agents need an infrastructure. They need to be able to talk to each other."

Exalate is building toward this in stages. The near-term focus is on what the company calls citizen integration, which is necessary for non-technical users to configure synchronizations without writing code. Beyond that, the roadmap includes agent-initiated setup, where regular AI tools could configure an Exalate integration through conversation, and eventually full agent-to-agent communication support.

The company's original vision from 2015, a network of connected companies that can begin cooperating at the flip of a switch, has a name now. Exalate calls it the Exaverse, and the rise of agents is speeding up the timeline. Martens describes a future where two million companies connect their operational environments to the Exalate network, immediately able to work with anyone. The agentic wave is accelerating that vision into practical reach.

Whether that vision materializes remains to be seen. But the underlying argument is harder to dismiss: as enterprises stack more automation while working with fragmented or fragile data environments, the reliability of the synchronization layer underneath becomes the constraint that determines whether any of it works, and Exalate is positioning itself to address that constraint.