Every enterprise runs on systems that don't naturally talk to each other - a CRM that doesn't know what the ERP knows, a legacy inventory tool that's never heard of your ServiceNow instance. Clay's API management platform is the interpreter. It's the same integration layer that feeds Qlik its data, lets ServiceNow bond directly with third-party systems, and gives Databricks a clean pipeline to ingest - increasingly with AI doing the listening, not just the routing.
What It Is
Most application integration software treats connection as the whole job - link System A to System B, move the data, and call it done. Clay's integration practice treats connection as the starting point. A pipeline that moves data badly feeds bad dashboards into Qlik, bad routing into ServiceNow, and bad models into Databricks. So the discipline here is the same one behind every other product in Clay's stack: get the data right at the point of contact, because everything downstream inherits whatever happens here.
That shows up concretely in what's already been built. For a European fibre-optic provider, Clay consolidated 20+ legacy systems into a single ServiceNow platform with automated service qualification, order fulfilment and third-party workforce-management integration, cutting rollout time by 20% and order fallout by half. For a US Tier 1 telecom operator generating over $60 billion in revenue, Clay implemented ServiceNow eBonding, Now-to-Now and third-party platform bonding via Open APIs, enabling zero-touch fulfilment of incidents, changes and service requests without a human touching the handoff.
Integration is Clay's connective tissue, as it's the layer that makes Qlik's dashboards trustworthy, ServiceNow's workflows autonomous, and Databricks' pipelines complete, instead of three excellent platforms sitting three data silos apart. Moreover, since Qlik's 2023 acquisition of Talend, that connective layer runs on Qlik Talend Cloud, meaning the same platform moving your data now ships with Talend's AI-powered Trust Score built in, scoring every dataset's reliability before it ever reaches a dashboard, a fraud model, or a decision.
Key Capabilities
Now-to-Now and third-party eBonding via Open APIs, with AI-assisted routing logic deciding how a request moves between systems, the same discipline that gave one telecom operator zero-touch fulfilment of incidents, changes and service requests.
Data pipelines engineered on Qlik Talend Cloud to feed clean, governed data straight into Databricks' lakehouse and Qlik Sense dashboards with Talend's own AI-powered Trust Score scoring every dataset's reliability before it moves, because an integration layer that just moves data isn't the same as one that moves data somewhere useful.
Automatic mapping and transformation across JSON, CSV, XML and legacy formats, with AI-assisted schema matching cutting the manual configuration that used to eat weeks of every new integration.
Real-time API performance monitoring with AI flagging an anomaly, which can include a latency spike or an unusual call pattern, much before it becomes an outage, instead of a dashboard someone has to remember to check.
Real-time transaction pipelines applying fraud-detection rules (PAN limits, velocity checks, geo-anomalies, and structuring patterns) flag and risk-classify suspicious activity as it happens, built on a data foundation ready for a machine learning risk model layered on top next.
Role-based access control, full audit trails and DFS-style compliance patterns are built into the integration layer itself for industries where a data-mapping error isn't just an inconvenience; it's a regulatory finding.
Use Cases
Proven Results
A German-based fibre-optic internet provider was running its assurance layer across siloed, disconnected systems, with service qualification, order fulfilment and activation all handled manually. Clay delivered an end-to-end ServiceNow telecom stack, streamlining the assurance layer (TSM/TSOM) and fully automating service qualification, order fulfilment and activation with third-party workforce-management integration, consolidating 20+ legacy systems into one platform, cutting fibre rollout project duration by 20% and order fallout rate by 50%.
A US Tier 1 telecom operator generating over $60 billion in revenue needed standardised, low-touch B2B interactions instead of manual handoffs between systems and partners. Clay implemented eBonding, Now-to-Now and third-party platform bonding using TSM/OMT and a Telco eBonding plugin, enabling a zero-touch customer experience through automated fulfilment of incidents, changes, problems, service requests and orders, all integrated to systems of record via Open APIs.
A banking client needed to catch fraudulent transactions as they happened, not after a monthly reconciliation flagged them. Clay built a Talend-based data pipeline that ingests and validates transaction data, including PAN, amount, timestamp, and country. It further applies five fraud-detection rules covering annual limits, large transactions, rapid transaction bursts, multi-geo activity, and structuring patterns, flagging and risk-classifying suspicious transactions into a centralised alert table for investigation. Although this pipeline runs on rules today, it's already sitting on AI-ready infrastructure. Since Qlik's acquisition of Talend, the platform this pipeline runs on ships with Talend's own machine-learning-powered Trust Score and Qlik's newer Trust Score for AI, purpose-built to certify data as fit for a machine learning model before it ever reaches one. The validated, structured feed powering five fraud rules today is exactly the feed a risk-scoring model needs tomorrow, and for the first time, the platform itself, not just Clay's roadmap, is built to make that step real.
A fintech startup building a mobile payment platform needed to handle a rapidly growing transaction volume while meeting strict compliance standards, without compromising the user experience. Clay designed and developed the payment processing system's backend integration, building in real-time analytics that gave the startup actionable insight for proactive performance optimisation and fraud detection, alongside the regulatory confidence and smooth user experience needed to win both customers and financial-institution partners.
MOST needed a securities application offering comprehensive capital market solutions, engineered and tested for scalability and reliability across desktop and mobile: iOS and Android alike. Clay's integration and testing work caught issues early in development, saving significant time and resources, and helped MOST strengthen its position in a competitive securities market with an application built to hold up under real trading volume.
If your systems are still exchanging data through manual exports and nightly batch jobs instead of a governed, real-time integration layer, this is the exact gap this platform exists to close. Start a conversation about what yours looks like.
Tell us which two systems in your stack should already be talking to each other and aren't. We'll show you what the integration layer looks like once they are.
Start a conversation →
