As B2B software companies race to embed AI capabilities into their products, the biggest challenge isn't the AI itself; it's reliably getting the data to fuel it.
AI is changing the way you are using data. It hasn't so much affected what you are doing as how you are doing it – and the degree to which you can do it faster and with fewer resources.
For example, data analysis has been around as long as data, but AI lets you significantly speed up the process and get to answers in seconds that would otherwise take much longer and require considerable human input and adjustment.
However, AI is only as good as the data you feed it. This is where integrations become mission-critical, not just nice-to-have. Building reliable, scalable data flows at the speed AI demands separates AI-native leaders from those bolting on AI functionality.
Prismatic is the only integration platform purpose-built from the ground up to handle everything that breaks at scale, providing the infrastructure layer between your customers' systems and your AI, with flexible building blocks from code-native to low-code to embedded workflow builder.
As a result, Prismatic is uniquely suited to enable AI within your product.
Ship AI-ready integrations without the overhead
Prismatic provides everything in one place to build, deploy, and manage connectivity with your customers' apps, eliminating the need for custom point-to-point integrations. Unlike universal APIs that force your data into rigid schemas or traditional iPaaS tools retrofitted for embedded use, Prismatic gives you complete flexibility to transform and enrich data exactly as your AI models require, while handling the authentication, rate limiting, and monitoring that breaks at scale.
Our platform also lets you control auth, encryption, and compliance, including GDPR, HIPAA, and CJIS. This ensures that data exchanges are secure, simplifying adherence to data standards.
By having all of the integrations feeding you data via a single platform, you can establish monitoring and alerting across all of your integrations to get out in front of issues before they affect your integrations and customers. You can also update existing integrations more efficiently, ensuring you minimize any interruption in the data flow that feeds your AI functionality.
Prismatic also provides built-in logging and error handling. These features allow your support team to quickly identify, troubleshoot, and resolve integration issues when they arise, obviating the need for in-depth support from engineering, in most cases, and allowing devs to focus on building and enhancing your product.
Orchestrate complex AI workflows at scale
Prismatic also automates and coordinates data flow from your customer's apps to your product's AI. It enables near-real-time synchronization across systems, ensuring your AI can access current, consistent data sources to support its analysis and decision-making capabilities.
Of course, data orchestration is much more than simply synchronizing data. It also requires the ability to manage complex workflows with multiple systems. And that's precisely what Prismatic provides. For example, you may need it to pull data from a customer's CRM into your product, analyze that data with your AI, generate recommendations, and then push those recommendations into your customer's ERP.
With its extensive data mapping and transformation tools, Prismatic ensures that you can feed your AI with the structured data it needs and support whatever data constraints are defined for the third-party systems that need to consume your AI's output.
Prismatic's core primitives and infrastructure are designed for modern AI-driven development. Your team can embed AI-powered integrations into your product and use the Prismatic API with AI-native development tools to accelerate integration building, something traditional iPaaS tools retrofitted for the embedded space can't match.
Scale from POC to production without breaking
Prismatic scales automatically to handle the load as your customers, integrations, and data requests grow with your company.
Prismatic also supports the addition of new integrations without affecting existing integrations. As your product grows and adopts new AI capabilities, Prismatic scales to handle the number of API calls and the data volume necessary to support your AI.
By allowing you to productize your integrations, you can reduce development costs by up to 95% (as Yoti experienced), enabling you to allocate dev resources to your core AI capabilities.
Your customers expect AI features to be fast. Since our embedded iPaaS scales to match the load, data retrieval is quick, AI processing is executed immediately, and the perceived performance of the AI functionality matches expectations.
Over time, AI features will become core to your customers' user experience. They don't necessarily know that an embedded iPaaS is behind the scenes, ensuring that everything scales as it should and preventing possible integration failures and data inconsistencies. But they don't need to because the platform performs quietly and consistently.
Let your AI team do AI, not integration plumbing
Prismatic enables your integration team to do integrations so your AI team can do AI.
Your integration team focuses on all of the details necessary to make the integrations happen: APIs, auth, rate limiting, error handling, data transformation, and all the other things required to ensure consistent transfer of data from A to B. In short, the connectivity layer is handled by the integration team and the embedded iPaaS.
This frees up your AI team to focus on data science, machine learning models, algorithms, and all the other things necessary to build the intelligence into your product to provide value for your customers.
The integration team works with the embedded iPaaS to provide inputs and outputs for the AI team, allowing the AI team to iterate much faster because it is not being slowed down by solving for all of the details of integrations with system X or Y.
This distinction of duties becomes even more critical as your company grows. Your integration team focuses on building new integrations and updating existing ones as needed to meet customer requests. At the same time, your AI team builds sophisticated features without worrying about becoming experts at integrating every data source.
Flexibility drives growth
Whether using agentic AI within your app or a simple AI agent to handle lightweight tasks, our embedded iPaaS can help you pull everything together, providing the flexibility you need for high-quality data transformation and enrichment.
Using Prismatic, you don't have the overhead of developing integrations from scratch. You can use a single set of tools to build, manage, and deploy all your integrations. You don't need to worry about scaling compute resources or your integration team. And your AI team doesn't get bogged down in the minutia of solving integration issues instead of focusing on the next evolution of AI functionality for your product.
Ready to turn integrations from a bottleneck into a growth driver for your AI-powered product? Schedule a demo to see how companies like Sisu, Yoti, and Cofactr ship integrations 10x faster with Prismatic.
