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illumend CEO: Manual COI Tracking Can Create Hidden Vendor Approval Risk

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Kristen Nunery says spreadsheets, inboxes, reminders, and manual reviews may keep vendors moving, but they often fail to show why vendors were approved, delayed, escalated, or rejected

Key Takeaways

Manual COI tracking may seem to work, but it often does not give teams real control.Spreadsheets, inboxes, reminders, and manual reviews can hide the context behind vendor decisions.The biggest risk is inconsistent vendor approval. Teams may struggle to explain what was checked, what was missed, and why a vendor moved forward.Modern COI compliance requires more than document tracking. Teams need a process that highlights issues, records decisions, and guides consistent approvals.AI-native COI compliance decisioning helps teams apply requirements consistently, document outcomes clearly, and maintain human oversight when exceptions, audits, re-reviews, or changes to decisions are needed.

INDIANAPOLIS, June 24, 2026 /PRNewswire/ — Kristen Nunery, CEO of illumend™, the AI-native platform redefining how businesses manage third-party insurance compliance and risk, is encouraging businesses to reassess manual Certificate of Insurance (COI) tracking workarounds that appear to keep vendors moving but may create hidden approval risk.

In her new article, “The Manual COI Tracking Workaround Everyone Knows Is Risky, But No One Wants to Replace,” Nunery argues that spreadsheet-based COI tracking often survives because it appears functional. Vendors send certificates, reviews happen, and contracts move forward. But behind that activity, teams may be relying on scattered records, hidden exceptions, and the memory of one or two people who know what the system cannot show.

“The hardest COI workarounds to replace are the ones that seem to be working,” said Kristen Nunery, CEO of illumend. “They help teams get through the day, but they do not always give the organization real control. Manual tracking can show that a certificate was received, but it may not show what was checked, what was missed, or why a vendor was allowed to move forward.”

Nunery says the problem is not spreadsheets themselves. The problem is using spreadsheets, inboxes, reminders, and company knowledge as if they were a full compliance system. A certificate may look current while the real requirement lives in a buried email. A vendor may have an undocumented exception. A project may require an endorsement that was never added to the spreadsheet.

Manual COI tracking becomes risky, Nunery says, when vendor approval decisions become inconsistent, hard to back up, or difficult to explain later.

“Tracking documents is not the same as managing compliance,” Nunery said. “A team can collect a certificate and still miss a requirement. A current document may not include the needed coverage. A renewal can be tracked while a gap remains unresolved.”

COI compliance requires teams to answer questions that document storage alone cannot resolve: Does the coverage meet the requirement? Is the policy type correct? Is the required endorsement included? Does the vendor satisfy the contract for this project, location, or scope of work? Who needs to act next?

Those questions, according to Nunery, require interpretation, not storage.

She says the challenge is especially acute for administrative, operations, finance, HR, project, and risk-adjacent teams that are expected to keep vendors moving even though they are not insurance specialists. These teams may have to decide whether a certificate is acceptable, whether a missing endorsement matters, whether a renewal creates risk, or whether a vendor can start work while someone else checks the details.

Nunery points to a common scenario: a subcontractor needs to start work, but the usual insurance reviewer is out. The certificate shows active coverage, but the contract requires an additional insured endorsement. One person remembers seeing the requirement in an email. Another checks the spreadsheet and finds only “COI received.” The project manager wants to approve the vendor, but no one can confirm whether the endorsement is required, missing, waived, or already reviewed.

In that situation, the team did not fail. The process relied on one person’s memory as the main control.

Nunery identifies five warning signs that a COI compliance workaround has reached its limit:

Too much depends on one or two peopleThe same information is entered in too many placesCompliance questions take too long to answerSimilar issues lead to different decisionsFollow-up work crowds out actual risk work

Once those signs appear, Nunery says the real question is not whether the workaround still functions. The question is whether it gives the organization enough accuracy, consistency, and control to continue doing the job well.

A better process moves from tracking documents to tracking decisions: what was submitted, what was reviewed, what does not match, who needs to respond, and whether the vendor can move forward.

That shift, Nunery says, is where AI-native COI compliance decisioning changes the workflow.

“AI only matters if it helps with the part of compliance that document tracking cannot solve: interpretation,” Nunery said. “Teams are not just trying to find documents faster. They need to apply requirements consistently, document outcomes clearly, and keep the process moving with the right controls in place.”

At illumend, that AI-native approach is powered by Lumie, illumend’s built-in AI guide that automates every third-party vendor compliance, from contract upload to final approval. Lumie evaluates certificate of insurance documentation against an organization’s requirements and determines whether a vendor is compliant, deficient, or requires exception handling.

Lumie makes the compliance decision, not merely organizing information for someone else to interpret. It evaluates submitted documents against applicable requirements, identifies whether coverage meets the standard, determines whether a vendor is compliant or deficient, and preserves the reasoning behind the decision.

For example, a claims-made policy submitted in response to an occurrence-based requirement can be flagged as non-compliant. A missing additional insured endorsement can trigger a request for corrected documentation. A coverage issue that requires business judgment can be routed for exception review with the underlying context already documented.

With illumend, vendor records, submitted certificates, project requirements, prior exceptions, expiration status, deficiency history, and review activity are brought together into a single connected workflow. If a project requires an additional insured endorsement and the submitted documentation does not satisfy that requirement, Lumie determines the compliance status, documents the reason, and advances the next step: request corrected documentation, route an exception for approval, or record the decision if an exception has already been approved.

The illumend workflow changes the work from “find the answer” to “manage the outcome with the right decision, context, and controls.”

Built on 16 years of insurance compliance expertise from myCOI, illumend combines institutional knowledge with an AI-native platform that supports the compliance lifecycle. The platform connects vendor records, submitted documents, insurance requirements, deficiency alerts, renewal monitoring, exception handling, and resolution activity, so teams can see not only whether a document exists, but also whether the vendor is ready for approval.

“Companies do not outgrow spreadsheets because they are tired of them,” Nunery said. “They outgrow them because the risk becomes too important to manage from memory. The goal is to stop asking people who are not insurance experts to make insurance compliance decisions through scattered tools, memory, and guesswork. A better process gives those people what they need most: consistent compliance decisions, documented reasoning, and auditable outcomes.”

To read Nunery’s full article, visit https://www.linkedin.com/pulse/manual-coi-tracking-workaround-everyone-knows-risky-one-nunery-lmfie/.

Organizations considering a switch to AI-powered COI process management software can learn more about illumend’s approach to third-party insurance compliance at https://www.illumend.ai.

Frequently Asked Questions

When should a company replace a manual COI tracking workaround?
A company should replace a manual COI tracking workaround before it fails under pressure. Warning signs include overreliance on one or two people, duplicate data entry, slow responses to basic compliance questions, inconsistent decisions on similar issues, and excessive follow-up work that crowds out actual risk work.

Why is spreadsheet COI tracking risky?
Spreadsheet COI tracking can show that a certificate was received without showing whether coverage was reviewed against the right requirement, whether an endorsement was missing, whether an exception was approved, or why a vendor was allowed to move forward.

What does AI-native COI compliance decisioning mean?
AI-native COI compliance decisioning means using AI to evaluate submitted insurance documentation against applicable requirements, determine whether a vendor is compliant or deficient, document the reason for the outcome, and route the workflow to the appropriate next step.

How does Lumie help with COI compliance?
Lumie is illumend’s built-in AI guide that automates every third-party vendor compliance step from contract upload to final approval. Lumie evaluates COI documentation against an organization’s requirements, determines whether a vendor is compliant, deficient, or requires exception handling, and preserves the reasoning behind the decision.

About illumend
Founded in 2025, illumend™ is the AI-powered platform redefining how businesses manage third-party insurance compliance and risk. Backed by myCOI, the leader in third-party insurance compliance management with more than 16 years of expertise, illumend reimagines compliance by guiding every step of the process—from document review and expiration tracking to risk flagging, communication, and resolution—within one intuitive system. Built on myCOI’s institutional foundation—having processed more than 45 million documents, managed over 1.2 million agreements, cleared more than 750,000 third-party partners, and identified more than two million coverage gaps before claims—illumend brings this depth of compliance intelligence into an AI-native platform. At its core is Lumie, illumend’s conversational AI guide that reads complex insurance documents, flags issues in real time, and explains them in language anyone can act on. To learn more, visit https://www.illumend.ai.

Media contact:
Michael Tebo
Gabriel Marketing Group (for illumend)
Phone: 571-835-8775
Email: michaelt@gabrielmarketing.com

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Moonlock by MacPaw Wins Red Dot Award 2026

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Moonlock earns recognition in the Interface & User Experience Design category, proving that thoughtful design belongs in cybersecurity as much as anywhere else.

BOSTON, Sept. 7, 2026 /PRNewswire/ — MacPaw is proud to announce that Moonlock, its antivirus and protection app for Mac users, has been named a winner of the 2026 Red Dot Award: Brands & Communication Design, recognized in the Interface & User Experience Design category. The award is an international mark of design excellence, judged on the strength of an idea, its execution, and its real-world impact.

Since launching in October 2025, Moonlock has taken a different approach to cybersecurity, reflected in every detail of the app. Its intuitive interface, plain-spoken copy, and hand-drawn illustrations replace the cold, technical tone common to security software. The result is a security app making protection feel easy and stress-free for everyone, expert or not.

Clear, human, beautiful products are a core MacPaw value, and the company pays attention to every detail, from aesthetics to user experience. Moonlock is no exception: it was built to make cybersecurity accessible to everyone, whatever their background — and design is central to that mission.

“Cybersecurity has a reputation for being intimidating — all alerts and jargon, with the sense that you need to be an expert just to stay safe. We built Moonlock to change that,” said Oleg Stukalenko, Head of Product Management at Moonlock by MacPaw. “From the start, we wanted it to feel human and welcoming, so that online protection becomes a natural part of everyday life rather than something people worry about. We think of design as everything someone actually experiences with us, not just the screen in front of them. Having the Red Dot jury recognize that work means a lot to the whole team.”

The Red Dot Award: Brands & Communication Design celebrates the craft behind how a product looks, feels, and speaks to the people who use it. Held since 1993, the competition is open to established and emerging designers, agencies, and companies across 18 categories. Each year, an international jury of 30 experts from design, science, media, and consultancy evaluates the entries, bringing a wide range of professional and cultural perspectives to every decision.

With this win, Moonlock continues MacPaw’s legacy of design excellence. It is the company’s fourth Red Dot Award: in 2017, Gemini 2 became the first macOS application to win the honor, followed by CleanMyMac in 2021 and CleanMy®Phone in 2024.

About Moonlock

Moonlock is a part of the MacPaw ecosystem that offers simple, approachable, and stress-free Mac protection and antivirus capabilities.

About MacPaw

MacPaw is a global technology company founded in Kyiv, Ukraine, with offices in Boston, MA and the EU, creating a digital ecosystem for Mac users. Combining capabilities such as system care, cybersecurity, app discovery, and more, the ecosystem aims to unite MacPaw’s suite of software, third-party tools, and AI solutions to collaborate on behalf of the user. Through Eney, an AI-powered assistant and the interface of the ecosystem, MacPaw aims to help users and developers within their workflows, driving the next generation of human-computer interaction.

Contacts

pr_team@macpaw.com 

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DBGallery Delivers “AI Knowledge Layer for Visual Assets,” Bringing Automated Enterprise DAM to Organizations of All Sizes

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Automated AI metadata converts photos and videos into structured organizational knowledge, transforming digital chaos into a strategic advantage without the manual effort.

TORONTO, Sept. 7, 2026 /PRNewswire-PRWeb/ — DBGallery today announced the expansion of its visual intelligence capabilities, formally positioning its platform as an AI Knowledge Layer for Visual Assets for organizations and teams of all sizes. By replacing manual keywording with automated AI metadata analysis, DBGallery converts raw photos, graphics, and video into rich, structured organizational knowledge the moment they are uploaded.

For years, visual assets lost value because nobody had the bandwidth to tag them. With an automated metadata layer, that changes completely. Visual media becomes instantly discoverable, creating compounding, multi-year value, and puts DAM within reach of more organizations.

Historically, Digital Asset Management (DAM) was reserved for large media organizations with dedicated archiving staff. Resource-constrained teams across tourism boards, municipalities, higher education, non-profits, and marketing teams across numerous industries were locked out by the sheer labor required to manually tag thousands of files—turning vast digital asset libraries into unsearchable “file graveyards.”

DBGallery’s AI Knowledge Layer changes that economic equation by shifting DAM from a labor-intensive requirement into an automated, accessible workflow hub.

“For years, visual assets lost value over time because nobody had the bandwidth to tag them properly,” said Glenn Rogers, Director of Product and Project Management at DBGallery. “When you introduce an automated metadata knowledge layer, that changes completely. Visual media becomes instantly discoverable through structured context, custom prompt targeting, embedded OCR text, and interactive video transcripts. The metadata doesn’t just solve today’s search, it creates compounding, multi-year value for the entire organization, and brings DAM within reach to more organizations.”

Key Capabilities of the DBGallery AI Knowledge Layer include:

Automated Auto-Enrichment: Extracts OCR text from images and PDFs, identifies objects and faces, and summarizes photo and video content upon upload or subsequent batch analysis.Custom AI Description Prompts: Admins and users can tailor global or image-specific prompts to extract structured domain data—ranging from architectural style identification and brand compliance to social media captions and emotional tone analysis—and can be outputted as HTML or JSON for direct ingestion into websites or ERP systems.Interactive Video Transcription & Timelines: Generates time-stamped, sentence-by-sentence spoken transcripts aligned with video playback, allowing teams to click any transcript line to jump instantly to that exact moment in the video.Non-Spoken Scene Analysis: Automatically inserts AI visual scene descriptions into pauses in speech or non-verbal video clips, ensuring complete visual context alongside spoken transcripts.

This AI framework is integrated directly into DBGallery’s production-proven platform, capable of scaling to millions of assets and thousands of users. Designed specifically for multi-user team collaboration, the platform combines Single Sign-On (SSO) and granular action-level permissions with full audit trails, custom metadata fields, usage analytics, and cloud or on-premises deployment options.

By combining cutting-edge AI automation with a secure, highly scalable foundation, DBGallery allows organizations of any size to deploy enterprise-grade digital asset management without adding administrative headcount or compromising on data governance.

To explore the AI Metadata Value Chain or learn more about DBGallery’s enterprise AI capabilities, visit https://dbgallery.com/ai.

About DBGallery

DBGallery is a leading Digital Asset Management (DAM) platform trusted by over 100+ brands across more than 25 countries, ranging from non-profits and educational institutions to global enterprise organizations. By combining scalable SaaS or on-premises architecture with powerful AI metadata automation, DBGallery empowers teams of any size to organize, discover, and turn visual media into structured, searchable business data. Learn more at https://dbgallery.com and https://dbgallery.com/ai.

Media Contact

Glenn Rogers, DBGallery, 1 8888080381, grogers@dbgallery.com, https://dbgallery.com

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Coda Launches Fresh Coda.co Website, Built for Publisher Growth

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SINGAPORE, Sept. 7, 2026 /PRNewswire/ — Coda today launched a revamped Coda.co website, creating a more comprehensive destination to explore Coda’s products, pricing, insights, and global capabilities.

The new Coda.co has been rebuilt to meet the needs of Coda’s B2B audiences, with gaming remaining at the heart of Coda’s business and expertise. The site also reflects how Coda is bringing that experience to a growing range of digital commerce businesses across entertainment, education and other verticals.

Designed to make it easier to evaluate opportunities with Coda, the site brings together practical information on market dynamics and local payment preferences alongside richer product pages, case studies and pricing.

The new Market Guides provide a country-level view of consumer behavior, payment preferences, and growth opportunities across 49 markets, while the Payment Guides go deeper on 94 individual payment methods worldwide, covering reach, adoption, and integration considerations.

Coda has also introduced a dedicated Pricing page that offers greater transparency into standard and custom pricing options, payment method coverage, and other commercial considerations. This sits alongside an expanded repository of case studies, white papers, and blog posts, providing deeper insight into why businesses choose Coda and how they use its Merchant of Record service and broader product suite to grow revenue, enter new markets, and build stronger direct-to-consumer channels with ease.

Shane Happach, CEO of Coda, said, “Publishers and brands are making decisions across more markets, payment methods and channels than ever. Our job is to bring clarity to that complexity. The new Coda.co provides a sharper view of the commercial opportunities we see and how Coda’s products and services help our partners turn that potential into meaningful growth. Gaming remains central to Coda, and the expertise we’ve built in the industry continues to shape how we help partners grow across digital commerce.”

The new Coda.co launch marks another milestone in Coda’s evolution as a global digital commerce leader, with a site designed to grow alongside its products, partnerships, and ambitions. The website will be available in Japanese, Chinese, and South Korean languages by the end of the year.

Learn more at the new www.coda.co

About Coda

Coda is a global leader in monetization, distribution, and commerce, trusted by the biggest names in gaming, entertainment, and technology, including Activision, Electronic Arts, Riot Games, Ubisoft, and Moonton. Founded in 2011 and headquartered in Singapore, Coda operates with 670+ employees worldwide, with core hubs in Asia and Europe. Coda combines payments, commerce, distribution, and rewards to drive global revenue growth for brands and publishers.

Coda’s products include Codapay, which provides access to 400+ payment methods across 80+ markets through a single API integration; Coda Webstore, which powers fully customized direct-to-consumer storefronts; Coda Consumer Platforms, including Codashop, Recharge.com, and Startselect.com; Coda Distribution, which extends reach through a network of commerce partners; and Giftcloud, a UK-based rewards business serving enterprise customers across Europe.

Coda is backed by Apis Partners, Insight Partners, Smash Capital, and GIC, and has been named an APAC High Growth Company (2023) by Financial Times, one of Granite Asia’s NextGenTech 30 (2024), a payments leader on Fortune’s Fintech Innovation Asia list (2024), and listed among The Straits Times Fastest Growing Fintechs (2024). For more on Coda, visit coda.co.

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