The race to accelerate digital transformation across business units within an organization has led to a rapid surge in APIs, though unfortunately, without a central strategy in place.
In 2023, the majority of internet traffic (71%) was API calls, with typical enterprise sites seeing an average of 1.5 billion API calls. Large companies with over 10,000 employees tend to have over 250 internal APIs.
This challenge is exacerbated by the growth of SaaS applications in organizations’ IT landscapes, with each application bringing its own integration and API needs. On average, an organization manages over 1,000 different apps. Besides, it is not just SaaS — most organizations possess a large repository of apps and APIs across their diverse hybrid landscape, and more often than not, do not possess a single dashboard to view and manage them all.
Decentralized development teams operating without visibility or governance often create duplicate APIs and fail to retire outdated ones, further intensifying API sprawl and system clutter.
The result: Growing development, maintenance and operational costs, reduced developer productivity and increased security and compliance risks.
Most organizations have multiple vendor solutions in place, including siloed integration middleware installations, home-grown point-to-point integration solutions and API management offerings. These pile on to the challenges posed by API sprawl. Lack of rationalized and streamlined integrations across application landscapes makes it extremely difficult to drive innovation, transformation and growth in such companies.
The Opportunity: To Tame API Sprawl and Create Seamless Connectivity
Companies that can tame API sprawl and master seamless connectivity and integration across systems, apps, events and data and across hybrid, multi-cloud environments will be the ones to unlock faster innovation and sustainable growth.
For instance, a customer service representative at a large retailer receives a call from a frustrated shopper whose package hasn’t arrived as expected. The representative searches multiple systems, including order tracking, email communications and inventory management and finds conflicting information on all accounts. This lack of connected data will not only result in delayed issue resolution but also erode trust in the customer experience.
Meanwhile, behind the scenes, the issue stems from disconnected systems, fragmented APIs and siloed data that can’t easily be accessed or integrated. Some systems don’t talk to each other at all. Others require expensive, manual workarounds for connectivity. To top this, the retailer must comply with regional data privacy regulations, making it harder to share data appropriately across the business.
Now, imagine a solution that gives IT teams unified visibility into all integrations across cloud and on-prem systems, intelligently recommends existing APIs for reuse and automates secure, policy-compliant connections between applications.
With this level of seamless integration, the same customer inquiry could be resolved in seconds, not hours or days, by providing the customer service representative a single, unified view of all systems.
A Unified Integration Strategy
This solution to API sprawl and fragmented integration cannot be resolved by simply adding more technology. There are already too many silos of integration tools in the technology stack. The answer lies in a unified integration strategy led by AI-powered automation and the use of AI agents.
Autonomous AI agents can understand complex instructions to optimize workflows. They act as an intelligent integration layer by maximizing efficiency. They rapidly discover existing APIs, recommend optimal reuse of integrations to avoid duplication and automate the creation of new integrations to address various patterns of integration.
Now, complex tasks like stitching together data and systems across sales, inventory, fulfillment and customer service are simplified. AI agents are quick to define, deploy and manage APIs and integrations more autonomously, thereby drastically improving operational efficiency and customer experience.
For the large retailer mentioned above, AI and automation would be the answer to its end-to-end customer journey — from the moment an order is placed, to fulfillment, shipment and post-delivery engagement. Customer-facing digital applications are seamlessly integrated with inventory and supply chain systems, whether legacy or modern, and AI-powered automation ensures everything works in harmony.
Retail is just one example. We can see the approach coming to life in other industries as well. To truly transform, businesses must adopt a unified integration strategy, powered by AI, which connects front-end experiences with back-end operations across hybrid and multi-cloud environments.
In banking, third-party collaborators are securely integrated with core banking systems to support embedded finance and banking-as-a-service models, opening up new revenue streams. In energy and utilities, advanced connectivity and integration is critical for micro-grids, roof-top solar units and smart meters that offer real-time information on electricity, gas and water usage. Technologies like AI, IoT, edge computing and cloud help optimize grid operations, predict equipment failures, identify water leakages and deliver more reliable, transparent service to customers.
The retail example comes full circle with logistics. These organizations can connect multi-modal shippers (sea, rail, road), freight forwarders and logistics hubs, all while maintaining continuous connectivity to e-commerce shipments for dynamic routing and real-time requests, enabling more flexible, reliable and faster service.
Overall, the impact is tangible: Modern integration strategies would drive innovation, reduce operational friction and empower both developers and business users to accelerate business success, in a bid to improve customer experience.
