Youʼve heard ‘API sprawlʼ being thrown around these days. And now youʼre asking yourself if your company is suffering from it, and what to do next?
Your company’s APIs could be a critical part of your business operations and strategy. But the reality is, they might also be silently killing your developers’ productivity and even inflating your budgets. What sometimes begins as a collection of essential services too often devolves into a chaotic, unmanageable tangle: API sprawl.
The reality is that companies of all sizes and maturities can suffer from API sprawl. And itʼs precisely what fuels a critical challenge for today’s AI-driven businesses, a phenomenon we can call the ‘API accessibility paradox.’ This is because companies might possess a wealth of APIs that should be powering innovation but remain effectively out of reach or unusable by their AI systems, ultimately defining—or derailing—their AI future.
It’s a situation that Steve Rodda, CEO of Ambassador Labs—an API development platform that provides tools for developers to create, publish, maintain, monitor and secure APIs at any scale—calls the AI accessibility paradox. He explains, “organizations have invested millions in developing the very APIs that could power their AI initiatives, but those APIs remain effectively invisible to AI systems due to inconsistent documentation, inaccessible specifications and incompatible implementation patterns.”
The root of this paradox often lies in that very API sprawl. Rodda further notes, “Most organizations have developed thousands of APIs over the years—each created by different teams, documented inconsistently (if at all) and managed through siloed processes.” This isn’t just some technical untidiness; it’s “a strategic liability that’s costing organizations millions while simultaneously blocking their AI transformation efforts.”
And this tangled web of APIs, this underlying sprawl, is becoming an even bigger problem as AI takes center stage. “As AI and automation increasingly rely on APIs as the execution layer, sprawl becomes not just a developer issue but an existential business risk,” says Rodric Rabbah, Head of Product for Postman Flows. For leaders, this means it’s time to look hard at your API landscape; itʼs either a launchpad for your AI ambitions or a hidden anchor dragging them down.
The importance of a well-structured API foundation for AI cannot be overstated. Amit Sharma, EVP of Engineering at Salesforce, underscores this point, stating, “APIs are key to an enterpriseʼs agentic AI-ready foundation and enabling agent action and IT teams need to ensure they have a clear and robust API strategy in place.” The clear takeaway here is to rigorously audit your API strategy, specifically asking whether your AI systems can actually access and reliably use the business capabilities your APIs are meant to provide.
So, with this paradox in mind and understanding that API sprawl is often the reason, the question before us then is what can be done? Before moving forward with solutions to truly get beyond API sprawl and solve this paradox, itʼs very useful first to understand the daily impact this situation has on your teams and the broader consequences for your business. Only then can we figure out a well-informed starting point to address it.
Death by a Thousand (API) Cuts
So, how does this API sprawl actually play out for the people building your products? For developers, Rodda points out it means “slow development cycles, poor experiences, duplicated work and the notorious ‘it works on my machine’ syndrome that destroys productivity.” He’s “seen teams that had to spend half of their time simply discovering and understanding existing APIs before they could even begin new development.” This daily grind of just trying to find whatʼs already there is a massive, often unacknowledged, time sink.
And it’s not an isolated experience. Sudhir Patamsetti, Sr. Director of Product Management at Harness, finds that “Developers spend a surprising amount of time just trying to figure out what APIs exist, which ones are safe to use and whether the documentation is up to date (if it exists at all). That lack of clarity leads to duplicated work, brittle integrations and too much time spent firefighting.” The lesson here is clear: investing in straightforward, reliable API discovery isn’t a luxury; itʼs essential to stop your teams from constantly reinventing the wheel or becoming, as some put it, “archaeologists of their own systems.” Data from Postmanʼs 2024 State of the API Report backs this up, showing “43% of developers rely on colleagues for API knowledge” and “44% of developers dig through source code to understand APIs,” highlighting just how much time is lost to this digital excavation.
This frustration often boils down to inconsistency and what can only be described as “detective work.” Quentin Rousseau, Co-founder & CTO at Rootly, shares a concrete example: “Building a 3rd-party integration last quarter meant bouncing between three separate code repos and six
OpenAPI files, some outdated, some undocumented, before we could even begin writing tests. That level of overhead turns regular development into detective work.” To prevent this, organizations need to standardize their API documentation and, crucially, make it easily accessible from a central place.
Siri Varma Vegiraju, Security Tech Lead at Microsoft Azure Security, points to another common source of developer headaches: “Inconsistent APIs.” For example, if one API uses JWT for authentication and another relies on certificates, it can lead to confusion and frustration. The practical step here is to “ensure governance boards [are] in place that define and enforce API standards… responsible for ensuring that all APIs adhere to consistent guidelines across the organization.”
Without this, developers are, as Ori Goldberg, CTO & Co-Founder at Pynt, describes, left to “manually trace behavior through legacy code, trial-and-error testing, or informal knowledge sharing” when documentation is unreliable or APIs are scattered.
Then there’s the quagmire of “dependency hell.” Rodda explains that when API sprawl runs unchecked, developers face a “cascade of interrelated challenges: circular and nested dependencies, versioning inconsistencies and conflicts and authentication and authorization sprawl.” These aren’t just minor annoyances; they “have a quantifiable impact on developers in terms of absurd local environment setup times, crushing machine resource requirements and agonizing build and testing times,” an issue that “compounds dramatically for teams working with Model Context Protocol services and AI integrations.” Actively visualizing and managing your API dependencies is very useful, particularly as complex AI integrations become more common.
Lou Crocker, Principal Consultant at Digital.ai, echoes the severity of this issue, stating, “Dependency hell is one of the single most time-consuming activities a team can face. As application surfaces grow larger and larger, a single build issue can cause hours, if not days, of troubleshooting and, in some cases, a complete rollback, which then requires starting again from square one.” The consequence, he adds, is that “Timelines are crushed and morale is damaged, leading to an extremely unproductive environment.” This really underscores the need for better dependency management as a core part of tackling API sprawl.
But Developer Pain Becomes Business Drain
All this developer friction doesn’t just stay within engineering teams. It bubbles up, creating significant headaches for business leaders, often where they least expect it. Rodda, speaking from his executive purview at Ambassador, points out that engineering leadership often contends with “no visibility into their API ecosystem, a dangerous reliance on tribal knowledge, skyrocketing infrastructure costs and an unknown security posture that keeps their CISO awake at night.” And these aren’t abstract problems; they have very real financial consequences.
First, the infrastructure needed to spin up the APIs is not cheap. Lots of things like VM instances, Identity, API gateways and observability are needed. Then you have the developer cost for maintaining it as well. All of these rack up to hundreds of thousands of dollars in maintenance. Itʼs crucial, then, for businesses to conduct thorough audits of their API-related infrastructure and maintenance spending to truly understand the hidden financial toll of unchecked sprawl. This lack of clarity also means, as Patamsetti of Harness notes, leaders are “constantly guessing what systems already exist… What looks like a two-week feature might turn into a month or more delay because the underlying API is undocumented, broken, or owned by a team that no longer exists.”
But the costs don’t stop at inefficiency and ballooning maintenance bills. The security implications are perhaps even more alarming. You can only manage and secure the APIs you know about. And this simple truth means that every unknown or poorly managed API is a potential open door for trouble. The first step for any leader concerned about their organization’s security is to acknowledge that what you don’t know can hurt you—profoundly.
API sprawl is a key contributor to security issues. “The more APIs deployed in production, the more likely they are to be unmanaged and the more likely they are to exhibit vulnerabilities. But vulnerabilities arenʼt the only security issue,” Tim Erlin, VP of Product at Wallarm, emphasizes, continuing that “APIs are designed to share data programmatically, so legacy APIs and shadow APIs are conduits for exposing sensitive data, even if theyʼre not specifically vulnerable.” Because of this, prioritizing the discovery and assessment of all APIs, especially older or “shadow” ones, isn’t just good IT hygiene; it’s a critical business defense strategy against costly breaches.
Goldberg of Pynt reinforces this from the security leadership perspective: “Without a complete and up-to-date API inventory, CISOs and security teams operate without a clear understanding of what they need to protect.” He warns that this “undermines threat modeling, weakens incident response preparedness and leads to ineffective security controls. As the API footprint expands, this lack of visibility becomes a critical liability. Security teams cannot secure what they cannot see.” So, providing security teams with a comprehensive API inventory is fundamental to enabling them to actually protect the business.
And all these issues—inefficiency, hidden costs, security vulnerabilities—come to a head when companies try to embrace transformative technologies like AI. Rodda states that “The confluence of API sprawl and urgent pressure to harness AI capabilities has revealed a critical bottleneck… This isn’t merely a technical debt issue that can be deferred—it’s become an existential business challenge.”
Path to Recovery: The Power of a Unified View
But it’s not all doom and gloom. Because organizations can get a handle on API sprawl and the rewards are substantial, especially when it comes to enabling those critical AI initiatives. Rodda emphasizes that “By addressing API sprawl, particularly in the context of AI integration, leaders are not just solving a technical problem—we’re unlocking massive business value.” He elaborates on the impact: “Solving the sprawl problem can accelerate time-to-market (by four to ten times when APIs are properly cataloged and discoverable), free developers from the endless cycles of rediscovery and reinvention for more productivity and reduce hard costs (for cloud development infrastructure costs by 30–60%).” So, the first step on this path to recovery is recognizing that investing in API visibility isn’t just about cleanup; it’s about unlocking significant, measurable business gains.
This directly fuels innovation. Sharma of Salesforce points out that with comprehensive visibility, “Developers can immediately use existing assets for new initiatives, including AI agents and
AI-powered applications.” Say, if an engineering team building an AI agent that personalizes customer recommendations has API visibility, they can quickly identify and access existing APIs that expose customer data, product catalogs and recommendation engines—regardless of where these APIs were originally built. This eliminates the need to build these integrations from scratch, significantly accelerating the development and deployment of the AI agent. So, championing the initiatives that provide deep API visibility directly translates to faster AI development and smarter reuse of existing technology assets. And this is where a new generation of tools comes into play—solutions that can scan code repositories to provide that unified, accurate view, truly enabling better, faster decision-making.
Beyond just speed and innovation, this unified view empowers teams and bolsters security. Rodda remarks that these visibility measures “improve an organizationʼs security posture by reducing the attack surface and helping to enforce compliance,” and crucially, they create “the foundation for successful AI integration by making business capabilities programmatically available.” Therefore, achieving a clear line of sight into your entire API ecosystem is fundamental not only for current operations but also for building a secure foundation for future AI endeavors.
Patamsetti agrees on the immediate positive impact: “The moment you gain full visibility into your API landscape, it makes your teamʼs life easier. Now teams can see what exists, whatʼs being used and whatʼs safe to build on. That leads to fewer surprises, fewer duplicated efforts and faster decision-making.” For leaders, it becomes much easier to forecast timelines, manage dependencies and prioritize investments based on actual usage and risk.
It serves well to leverage this comprehensive visibility not just for project planning, but as a core component of strengthening your overall security posture and risk management. Erlin of Wallarm also suggests these benefits might just be the key to unlocking the budget needed to tackle API sprawl effectively.
A Case for Taming Sprawl
So, what does success actually look like when a company gets a grip on its API sprawl? The transformations can be dramatic. Rodda shares a compelling example: “Letʼs look at one development team as an example. A team of 11 developers working on a SaaS application went from six six-week development cycles in a year to weekly cycles in two months after implementing a standard API development practice.” And the benefits weren’t just about speed. He adds, “The team not only increased productivity, but they saved on cloud costs, reducing development infrastructure costs by 75% per developer through the use of a shared API development platform that leverages an ephemeral environment model. Developers could discover specs, mock dependencies, build, test and deliver code in the time it used to take for spec creation alone.” This kind of story really shows that finding internal champions or launching pilot projects can powerfully demonstrate the real, tangible ROI of managing API sprawl and help build momentum for wider changes across the organization.
And these benefits extend directly to strategic initiatives like AI. Patamsetti recounts working with “a large enterprise operating across multiple cloud environments (AWS, Azure and GCP) that was facing serious friction due to uncontrolled API sprawl.” He explains, “This became a major blocker for their AI initiatives, which required consistent, trustworthy data access across systems… AI teams were stuck.” But the outcome was transformative: “Once the organization established full API visibility, including undocumented and shadow APIs, everything changed for the better… That clarity alone saved them dozens of hours per week in manual investigation and debugging and it unblocked their AI initiatives. Teams could finally trust the data pipelines feeding their models and move faster with less risk.” The clear lesson here is that for companies betting on AI, investing in comprehensive API visibility isn’t just a good idea—it’s often the critical step needed to unlock those strategic AI projects.
Reclaim Your Resources, Consolidate Your AI Strategy
So, how can your organization start to chart a course out of API chaos? Rodda suggests beginning with a straightforward assessment to understand the severity of their sprawl problem. “Start with a simple litmus test of how many APIs do they have and how many of them are ‘well documented,’ meaning, have a specification that is up to date and in a developer catalog thatʼs usable.” He also advises organizations “to go deeper; they could break down the foundations of their development operations in terms of production, output and infrastructure… An honest assessment of these metrics can reveal a lot about the efficiency of development efforts and the likelihood of a sprawl problem.”
Crocker of Digital.ai offers complementary indicators, noting that “A key metric in understanding the health of an API ecosystem is the ability of a team to rapidly scope, plan and deliver new features and functions in complex business process applications. Low-point agile stories and consistently hit timelines are two immediate and glaring ways in which the presence or lack of API sprawl can be effectively determined.” The clear first step, then, is to implement a select few key metrics. This will help you quantify the current drag API sprawl has on your business and, just as importantly, track the real benefits as you improve visibility and control.
Ultimately, untangling API sprawl isn’t just an IT cleanup project; it’s a critical business imperative, especially in the age of AI. As Rodda emphasized earlier, the organizations that solve this problem will gain a decisive competitive advantage in their AI transformation efforts, while those that don’t will struggle with increasingly expensive and ineffective technology investments.
The journey from API chaos to clarity begins with a commitment to comprehensive visibility. Because only when you can truly see and understand your entire API landscape can you transform these essential connectors from hidden liabilities into the strategic assets that will fuel your companyʼs innovation, efficiency and AI-powered future.
