Risk management, automation, and AI in third-party oversight with continuous monitoring
Risk management with artificial intelligence, automation, and continuous monitoring of third parties is no longer some distant concept. It has become a very concrete demand for anyone living the day-to-day reality of construction, logistics, and manufacturing, dealing with tight deadlines, pressured budgets, and a massive supplier network. In environments where any operational deviation can lead to fines, critical delays, rework, or even contract termination, the old logic of checking documents once a year and hoping nothing goes wrong simply doesn’t add up anymore. Risk today moves in real time, and that is exactly why the way we see and handle this risk also needs to leave the analog mode behind and move to a more dynamic, connected, and intelligent model.
In these sectors, where practically everything depends on external partners, a simple compliance failure from a supplier, expired documentation from a carrier, or a safety non-compliance from a subcontractor can trigger a serious domino effect. It blows up the budget, halts projects, stops production lines, and in more extreme cases, can shut down operations for months, dragging the company’s reputation down along with the operational chaos. In this context, talking about risk management is no longer just about mapping spreadsheets and logging incidents, but about building a living system of analysis, rapid response, and prevention, with a full view of the third-party chain and the ability to act before a problem explodes.
This gap between the traditional model and the real need for constant visibility is where Parakeet Risk comes in, a platform created to operate as a kind of central nervous system for third-party risk management. The solution uses AI agents capable of learning from the work of human risk managers and mimicking how they analyze, decide, and act, automating due diligence, cross-checking data from multiple sources, and maintaining a daily verification flow. Instead of relying only on occasional audits and static checklists, this type of solution creates continuous monitoring over suppliers, flagging suspicious behaviors, alerting on documents and licenses, analyzing financial and operational risk, and helping companies make decisions based on current information, not on an outdated snapshot from months ago.
From a personal idea to a global risk management platform
Parakeet Risk was officially founded in 2024, but the story started much earlier with the journey of its founder, Jowanza Joseph. After more than a decade in the tech industry, with stints at companies like ZAGG, Adobe, and Finicity, he had already built a solid track record as an engineer and technical leader. The turning point came when he left Finicity to work at a startup founded by a former boss. That was when it hit him that, beyond building products, he wanted to build a company from the ground up.
According to Joseph, he had already been a founding engineer and early contributor at other businesses, but never the actual founder who takes on all the risk and sets the vision. He describes that moment as the urge to push all his chips to the center of the table and bet on something aligned with his values and skills. To get there, he started looking for real problems in sectors he didn’t know well, which led him to a world far from the traditional tech bubble: construction, manufacturing, and heavy industry.
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His interest in the Caribbean region, where his parents are from, also plays into the story. In the beginning, the idea was to create something that could help professionals and companies in the region, so he went looking for a symbol that fit that context. That’s how he landed on the parakeet, a very common bird in the area: small, resilient, and everywhere. Over time, the name gained another meaning: parakeets are great at mimicking voices and instructions, can memorize hundreds of words, and learn through repetition, which fits the platform’s purpose perfectly.
In Jowanza’s view, his AI agents work like these digital birds: they observe how risk managers work, learn the daily routine, absorb analysis patterns, and then mimic that behavior at scale, with consistency and speed. That’s where the company’s internal metaphor comes from: instead of an overloaded team trying to watch everything, you have a flock of virtual parakeets flying through your data, checking documents, cross-referencing information, and alerting you whenever something goes off track.
Identifying the core problem: third-party risk in the real world
To arrive at the current focus of the platform, Joseph spent much of 2023 talking to professionals in fields where he was a complete outsider. His wife had contact with many people in construction, manufacturing, and industrial sectors, which opened doors for interviews, site visits, and a good amount of time closely following the reality of those living the operational pain day in and day out. He started doing the basics really well: listening, taking notes, asking questions, watching processes, and trying to understand what truly kept these managers up at night.
At first, as he himself admits, it wasn’t the most direct way to shape a product, because the answers were all over the place. But once everything was on paper, a pattern became clear: risk management and risk engineering kept coming up as critical topics. These are sectors that run on tight margins and depend on everything going right. When the flow runs smoothly, the numbers work. When a single event gets out of control, the impact can be devastating for the company’s cash flow and even its survival.
To see things from the inside, Joseph began shadowing risk and procurement managers, especially in construction and manufacturing. He saw firsthand what it was like to run due diligence on suppliers, check insurance policies, confirm identities, gather references, validate licenses, track policy status, and deal with renewals scattered across emails, spreadsheets, and disconnected systems. That’s when it became evident that there was room to create a platform that could reduce the cost and friction of these activities, with an approach built around three main pillars: automating insurance collection, identity verification, and gathering third-party references.
The data he found only reinforced the urgency. A single poorly managed incident involving a third party can cost a company, on average, around 260,000 dollars, not counting cases where non-compliance fines easily exceed 2.5 million dollars. In many scenarios, the full recovery time from a hit like that ranges from 18 to 36 months, which is an eternity in a sector that depends on a constant cycle of contracts, projects, deliveries, and schedules. The conclusion was straightforward: without a system capable of keeping this risk in check at all times, entire operations were left exposed.
Practical example: visibility and compliance across a network of 100+ suppliers
One of Parakeet Risk’s first major customers was a global manufacturer headquartered in Trinidad and Tobago, in the Caribbean, a region that holds personal significance for Joseph given his family’s roots. The company works with a large base of service providers, including contractors, plumbers, electricians, and other specialists who frequently move in and out of its facilities. Each one needs to have up-to-date insurance and liability documentation, because any on-site accident can quickly turn into a serious legal problem if the records are expired or inconsistent.
Before Parakeet Risk, keeping all of that under control was exhausting. The team had to chase documents, push for updates, manually check validity, and try to ensure that anytime someone entered the plant, their insurance policy and other records were valid. It was a cycle of constant stress. When the platform came into play, it took over supplier onboarding, document collection, information organization, and expiration tracking.
Once those data points were structured inside the system, the platform identified nearly 60 providers at some stage of insurance or documentation expiration. Instead of discovering that only after an incident, the company began receiving daily alerts, like a digital heartbeat of the operation. Every day, the team could see a summary of what could become a problem, which contracts needed immediate attention, and where risk was silently growing. In practice, this customer moved from a scenario of not really knowing how much risk they were exposed to to one of full visibility into their third-party exposure.
Automation, AI, and continuous monitoring: the new baseline for risk management
The combination of automation, artificial intelligence, and continuous monitoring powering Parakeet Risk points clearly to where third-party risk management is heading. AI agents act as autonomous software entities that perceive the environment, analyze complex objectives, and make decisions with minimal human intervention. They take over tasks that used to be fully manual, such as collecting documents, validating information, tracking expirations, and consolidating data scattered across different systems.
In practical terms, these agents operate like digital copies of an experienced risk manager’s reasoning. Once trained with real-world analysis workflows, they learn not only what to check, but also the order of priority, cutoff criteria, types of acceptable exceptions, and what should trigger an immediate alert. This creates a kind of flock of virtual parakeets that executes tasks exactly as the company needs, repeating the desired pattern consistently, at scale, and without downtime.
The benefits play out on several levels. First, there’s a massive reduction in repetitive effort. Instead of wasting time digging for a certificate buried in an email attachment, the team acts only after the system has already flagged that something is off. Second, there is a quality boost, because AI doesn’t suffer from the fatigue that leads to human error, like mistyping dates or overlooking a poorly scanned document. Third, reaction time improves, since with structured alerts, a status change in a critical supplier doesn’t get lost in a sea of spreadsheets but surfaces clearly, with context and priority.
Culture, distributed team, and rapid growth
Behind the technology, there is also the human challenge of building a team that can keep up with the company’s pace. Parakeet Risk was global from very early on. Although Joseph is currently the only member based in Utah, the team is spread across different countries, including those in South America and Europe. One example is Andrés Ramos, in Monterrey, Mexico, a former logistics software developer who took on the role of full-stack AI engineer and product technologist at the company.
Ramos came from a context where he helped move freight around the world and decided to join Parakeet Risk even without prior direct experience in risk management, motivated by the clarity of its mission and Joseph’s straightforward approach to problems. He sums up the product’s goal well: reduce how many people can get hurt in operations and cut how much money is wasted on preventable incidents. With that vision in mind, it became much easier to transition from a purely logistics-focused environment to a business built around AI applied to risk.
In the beginning, as the founder himself admits, the company did not spend as much time aligning everyone around the full picture of the market, positioning, and long-term vision. That lesson came quickly. Today, the routine includes weekly meetings to discuss industry articles, analyze new use cases, review how the product fits into different scenarios, and deepen the team’s shared understanding of where the platform delivers the most value. This kind of ritual has become central to keeping everyone moving in the same direction, regardless of time zone or professional background.
The growth numbers reflect the product’s fit with a real market pain. Parakeet Risk closed its first year with around 2 million in ARR (annual recurring revenue) and tripled that amount in its second year of operation. Looking ahead, the targets remain ambitious, with plans to multiply revenue again over the next cycles, reaching the 30 million range within a few years. To support that, the company is already preparing to double its headcount and further expand its presence among large industrial players that see third-party risk management as strategic, not just as a supporting activity.
Purpose, technology, and the future of risk management
At the end of the day, Parakeet Risk’s story is also about purpose. Joseph often says he has found a topic he can work on for the rest of his life, a space where cutting-edge technology, real impact on people’s safety, and companies’ financial sustainability all converge. While it automates tasks, the platform also helps real businesses avoid massive losses and accidents that can change families’ lives forever.
When risk management, automation, and artificial intelligence come together in a practical way, as in the case of Parakeet Risk, the conversation stops being about tech buzzwords and starts being about operational continuity, protection of people, and long-term business resilience. In a world where supply chains are increasingly complex and interconnected, having AI agents that act like vigilant parakeets, constantly learning and imitating the best of human work, is likely to stop being a differentiator and simply become the new baseline for third-party management.
