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Medical Billing Made Simple: Top Outsourcing Companies Ranked

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As the complexity of healthcare administration continues to increase, medical practices are increasingly turning to third-party vendors to manage one of their most critical yet resource-intensive functions: medical billing. With ever-changing regulations, coding standards, payer policies, and compliance requirements, handling billing in-house has become a growing challenge—especially for smaller practices with limited administrative staff.

To streamline operations, reduce overhead costs, and improve reimbursement rates, many healthcare providers choose to outsource medical billing services to specialized companies. These vendors offer dedicated billing teams, deep industry knowledge, and up-to-date software tools to ensure that claims are submitted accurately and paid on time.

This article explores the current landscape of medical billing outsourcing, highlighting key features of top-performing vendors and offering guidance on how to evaluate these services based on practice size, specialty, and business goals.

Why Practices Outsource Medical Billing

For many practices, the decision to outsource is driven by a desire to reduce internal administrative burden. Billing errors, delays, and denied claims can significantly impact revenue. An experienced third-party billing company can help improve clean claim rates, ensure timely follow-ups on unpaid claims, and navigate the intricacies of payer rules.

Outsourcing also enables providers to focus more on clinical care instead of chasing reimbursements. In environments where staffing shortages are common, especially in rural or solo practices, medical billing partners can serve as an extension of the team, handling everything from charge entry to denial management and compliance audits.

Key Services Offered by Billing Vendors

Most reputable medical billing companies offer a range of services that go beyond basic claim submission. These often include:

  • Patient eligibility verification
  • Coding support (ICD-10, CPT, HCPCS)
  • Claim scrubbing and error resolution
  • Revenue cycle analytics and reporting
  • Appeals and denial management
  • Compliance auditing and consulting
  • EHR and practice management system integration

Some vendors also offer specialty-specific services, recognizing that each medical field has its own billing nuances. For example, mental health, cardiology, oncology, and orthopedics each face unique coding requirements and reimbursement structures.

Leading Companies in Medical Billing Outsourcing

Several companies have established themselves as leaders in the outsourced billing space, catering to practices of various sizes and specialties.

  1. Kareo

Kareo is known for offering a user-friendly platform that integrates EHR, practice management, and billing. It’s a popular choice for small and mid-sized practices looking for an end-to-end solution. Their billing service includes claim tracking, A/R follow-up, and customized performance reports. Kareo has a strong presence among independent practitioners due to its affordable pricing and ease of use.

  1. Athenahealth

Athenahealth provides robust medical billing and revenue cycle services as part of its cloud-based platform. Its billing engine is known for adaptive learning—using data from its broad user network to optimize claim performance. Athenahealth’s revenue cycle management (RCM) services are favored by practices looking for scalability and deep payer integration.

  1. CureMD

CureMD offers comprehensive revenue cycle services that cater to both general and specialty-specific practices. With features like real-time claim tracking, denial analysis, and integrated compliance tools, CureMD has earned a solid reputation in the industry. While CureMD’s platform is recognized for its versatility, it’s particularly effective for practices looking for a unified solution that combines EHR, scheduling, and billing. It is often mentioned as one of the best options for practices that prioritize automation and reporting transparency.

  1. BillingParadise

BillingParadise specializes in RCM solutions for small to large-scale practices and is particularly known for its back-office support, including insurance verification and denial resolution. Their services cater to various specialties, including emergency medicine and radiology. They also offer integration support for popular EHRs and provide 24/7 assistance.

  1. PracticeForces

PracticeForces has been providing outsourced billing services for over a decade, offering expertise across more than 30 specialties. Their approach is highly consultative, helping practices identify revenue leakages and improve payer negotiations. They also provide coding audits and compliance assessments as part of their service packages.

Specialized Billing Services for Niche Practices

As healthcare becomes more specialized, so do billing needs. Mental health billing services are a good example of this shift. Providers in behavioral health face unique challenges such as frequent session-based billing, variable CPT codes, and high rates of claim denials due to documentation issues. Vendors that offer niche expertise in this area—such as TherapyNotes, Valant, and some divisions of CureMD—are increasingly sought after for their tailored billing workflows and understanding of mental health parity laws.

Likewise, other specialties such as dermatology, pain management, and podiatry require knowledge of nuanced coding scenarios, bundled payments, and modifier usage. Selecting a billing partner with direct experience in a practice’s area of medicine can make a substantial difference in reimbursement rates and denial mitigation.

Evaluating a Medical Billing Company

Choosing the right billing company involves more than comparing pricing. Key factors to consider include:

  • Transparency: Will you receive detailed reports on claims, denials, and revenue trends?
  • Experience: Does the vendor have a proven track record with your specialty?
  • Technology: Is the billing system cloud-based, and can it integrate with your existing EHR?
  • Support: Is there a dedicated account manager or team you can contact for issues?
  • Compliance: Does the company follow HIPAA guidelines and offer secure communication tools?

Most vendors offer flexible pricing models—either percentage-based (e.g., 4%–8% of collections) or flat-rate monthly fees. The right choice depends on your monthly claim volume, staffing setup, and the complexity of services required.

Trends Impacting Outsourced Billing in 2025

Several trends are shaping the future of medical billing outsourcing. First is the growing role of automation and artificial intelligence (AI). Many billing vendors now use machine learning to identify coding errors before submission or to predict which claims are at high risk of denial. These tools help reduce human error and accelerate payment timelines.

Another trend is increased payer scrutiny. As insurance companies tighten their reimbursement criteria, billing companies must stay ahead of changing policies, documentation standards, and code sets. Frequent updates to CMS guidelines and ICD-10 codes demand constant education and system updates, which outsourcing companies typically manage on behalf of their clients.

Finally, the demand for interoperability between EHR and billing systems continues to grow. Practices prefer vendors that can either work within their existing software ecosystem or offer fully integrated platforms. The ability to sync clinical notes, claims, and financial reports in one place offers significant efficiency gains.

Conclusion

For small to mid-sized medical practices, outsourcing medical billing is no longer just a cost-saving tactic—it’s a strategic move to improve financial performance, reduce errors, and free up staff time for patient-facing activities. The top vendors in the field offer specialized knowledge, advanced technology, and support systems tailored to the needs of modern practices.

Companies like Kareo, Athenahealth, and BillingParadise offer robust billing services with proven track records. CureMD, with its all-in-one system and detailed revenue cycle support, is frequently listed among the best options for practices looking to combine clinical and financial operations under one platform.

Ultimately, the best choice depends on your practice’s size, specialty, and workflow requirements. As billing becomes more complex and payer rules more stringent, partnering with a knowledgeable and adaptive vendor can provide both peace of mind and measurable financial results.

Choosing the Right AI Medical Scribe Platform: A Review of 2025’s Top Software Vendors

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Artificial intelligence has increasingly become a pivotal part of healthcare, particularly in streamlining clinical documentation. As of 2025, AI medical scribe platforms are being widely adopted by hospitals, specialty practices, and even solo practitioners. These tools use machine learning and natural language processing (NLP) to reduce the time physicians spend on administrative work, allowing them to focus more on patient care.

In the current landscape, a growing number of vendors are entering the space, offering a range of features tailored to various medical settings. While some platforms focus purely on transcription, others offer broader functionality that integrates directly into a practice’s electronic health record systems. Vendors like Nuance, Suki, and CureMD are among the better-known names in this sector.

The primary role of an AI medical scribe is to listen to doctor-patient conversations, interpret the dialogue, and generate structured clinical notes in real-time or shortly afterward. These notes can then be reviewed, edited if needed, and submitted to the patient’s EMR or EHR. The result is less manual typing and more time for direct interaction with patients.

Accuracy and context are two critical aspects where AI scribes differ. Some tools may struggle with accents, complex terminology, or noisy environments. Others incorporate advanced learning models to improve recognition and contextual understanding over time. CureMD, for instance, has focused on developing NLP algorithms that adapt to physician behavior patterns and specialty-specific jargon.

Another important consideration is how these platforms integrate with existing workflows. Some tools operate as standalone applications, while others are designed to embed directly into the EMR interface. This distinction matters because seamless workflow integration can dramatically affect a provider’s efficiency. When an AI scribe can auto-populate fields, suggest diagnostic codes, or flag discrepancies without requiring manual data transfer, it reduces friction across the entire patient visit.

Customization is also becoming more prominent. Many AI scribe solutions offer user-specific templates or voice commands. This allows providers to train the scribe for their specialty—whether it’s cardiology, dermatology, or behavioral health. CureMD and a few other platforms have made strides in enabling configurable templates that adjust to both the provider’s documentation habits and practice-specific compliance needs.

As practices continue to adopt EMR software, compatibility between systems has become a differentiating factor. AI scribes that can natively communicate with leading EMRs—like Epic, athenahealth, or Allscripts—tend to be favored. However, CureMD has gained attention for offering its own end-to-end solution where the scribe, EMR, and billing tools are all interconnected. This reduces the need for middleware or third-party connectors.

Security remains a top priority for healthcare providers evaluating these technologies. Since AI scribes are dealing with sensitive patient health information (PHI), vendors must comply with HIPAA regulations and, in some cases, HITRUST certifications. Encrypted audio streams, role-based access, and audit trails are now standard expectations across most platforms.

User experience is another area where vendors distinguish themselves. Physicians often report that some platforms require too much correction or post-processing, which defeats the purpose of using a scribe. Others, however, offer near real-time output that’s 90% or more accurate, even before the provider edits it. CureMD’s platform, among others, is recognized for minimizing the need for manual corrections after initial drafts.

Pricing models also vary widely. Some vendors charge per encounter, while others offer monthly subscriptions or charge based on transcription minutes. For smaller practices, cost-effectiveness is often a deciding factor, especially if the scribe technology replaces existing dictation services. Larger health systems, on the other hand, may prioritize scalability and enterprise-level support.

Deployment times and onboarding are worth considering. While some systems are plug-and-play, others may require technical assistance, custom setup, or training. Vendors like Suki and DeepScribe generally offer quicker onboarding, while platforms that integrate deeply with EMRs might take longer to fully implement. CureMD, depending on the size of the practice, offers variable onboarding timelines but provides end-to-end support throughout the deployment phase.

Beyond core transcription features, many AI scribe platforms are beginning to incorporate workflow automation. For example, a few systems can recognize and flag missing documentation elements, prompt physicians to complete coding tasks, or even suggest follow-up care plans based on the clinical narrative. These additional layers of intelligence add tangible value to the core transcription capability.

Another emerging trend in 2025 is the use of ambient listening combined with generative AI. Instead of requiring direct voice commands or trigger phrases, ambient scribing tools can passively capture doctor-patient interactions in the background and summarize them into coherent medical notes. This hands-free, zero-interruption model is especially useful in fast-paced settings like urgent care or emergency medicine. CureMD and other vendors are experimenting with this model, aiming to reduce workflow interruption even further.

User feedback plays a central role in the continued evolution of these platforms. Physicians and medical staff regularly contribute data that helps improve transcription models, decision trees, and contextual understanding. While this requires ongoing user consent and adherence to data privacy standards, it has accelerated the maturity of AI-based scribe technology overall.

Finally, it’s important to view the AI medical scribe not just as a standalone tool, but as part of a broader digital health strategy. Its effectiveness is amplified when paired with smart scheduling, voice-based commands, automated billing workflows, and real-time analytics. In this sense, an AI scribe becomes a bridge between human judgment and machine efficiency.

As we move further into 2025, healthcare practices—whether small or enterprise-level—are increasingly embracing AI tools to ease documentation burdens. The market continues to grow, with new startups emerging alongside established players. CureMD, while not the only vendor in the space, is among those recognized for offering a comprehensive platform that ties together documentation, clinical data, and billing support.

When evaluating an AI medical scribe, healthcare professionals should consider more than just transcription quality. Factors such as integration with EMRs, customization options, security compliance, and long-term vendor support should all play into the final decision. With the growing demand for efficiency in healthcare, the AI scribe is no longer a luxury—it’s quickly becoming a necessity.

Top EHR Software Firms Specializing in Small Practice Growth

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In today’s evolving healthcare environment, small and independent medical practices face increasing pressure to deliver high-quality care while navigating limited budgets, staffing challenges, and complex regulatory requirements. Among the most critical tools supporting these efforts are Electronic Health Record (EHR) systems.

For smaller practices, choosing the right EHR software is not simply about compliance—it’s a strategic decision that can shape everything from patient satisfaction to financial sustainability. Unlike larger healthcare systems that may employ dedicated IT staff and custom infrastructure, smaller practices often seek out platforms that are intuitive, cost-effective, and easy to implement.

Over the last decade, numerous EHR vendors have responded to this demand by designing solutions tailored specifically to small and mid-sized practices. These platforms typically focus on streamlining workflows, improving billing accuracy, and supporting clinical documentation without overwhelming users with unnecessary complexity.

Key Features Driving Small Practice Adoption

The ideal EHR for a small practice will often include essential features such as customizable templates, integrated scheduling, e-prescribing, and lab order management. Cloud-based deployment is a common preference, eliminating the need for local servers or intensive maintenance. Mobile access has also become a valuable addition, particularly for providers working across multiple locations or offering home visits.

Several platforms go beyond basic functionality to incorporate tools that aid in care coordination, preventive care tracking, and revenue cycle management. These features are vital for practices engaged in chronic disease management or value-based care models.

Integration capabilities are another key concern. Many small practices rely on third-party billing services, telehealth tools, or diagnostic imaging systems. EHR vendors that support seamless integration with these tools often gain favor due to reduced administrative burden and data duplication.

Notable EHR Vendors for Small Practices

A variety of EHR vendors have emerged as popular choices among small practices. These include DrChrono, Kareo, Elation Health, AdvancedMD, and athenahealth. Each brings different strengths to the table—whether it’s mobile-first design, robust analytics, or specialty-specific configurations.

DrChrono, for example, is often selected for its ease of use and mobile app support, making it well-suited for fast-paced environments like urgent care. Kareo offers a fully integrated platform that combines EHR, billing, and practice management, with features designed for independent practices and billing companies.

Elation Health focuses on primary care workflows, delivering clinical-first tools that are praised for reducing charting time. AdvancedMD and athenahealth are frequently chosen for their scalable, cloud-based solutions and comprehensive revenue cycle tools.

Platforms such as these typically offer subscription-based pricing models, allowing small practices to avoid large upfront investments. This predictable cost structure is especially appealing to providers who are just starting or looking to modernize without disrupting existing operations.

CureMD, while often associated with larger organizations, also provides scalable solutions that include EHR, practice management, and medical billing tools. Some small practices choose vendors like this when they need an all-in-one platform that can grow with them.

Specialty Support and Flexibility

Small practices are not always generalists. Many are specialty-focused—serving dermatology, pediatrics, orthopedics, or behavioral health. As a result, specialty-specific templates, clinical decision support tools, and custom workflows are increasingly important. Vendors that support multiple specialties or allow easy customization tend to have a broader appeal.

In recent years, Mental Health EHR solutions have seen particularly strong demand. Mental health providers often require note-taking formats that differ significantly from those used in primary care. Features like progress note templates for therapy sessions, outcome tracking, and medication reconciliation are critical. Vendors such as SimplePractice, TherapyNotes, and Valant have developed dedicated platforms for mental and behavioral health providers, while some general-purpose EHRs have added specialized modules to support this domain.

The Role of Care Management in Small Practice Growth

As small practices begin participating more in coordinated care and population health initiatives, EHR systems that include Care Management Software have become increasingly valuable. These tools support chronic care management (CCM), transitional care management (TCM), and annual wellness visits—often qualifying the practice for additional reimbursement under CMS guidelines.

Care management tools typically help identify high-risk patients, automate follow-ups, and track progress across various health goals. For practices managing patients with diabetes, heart disease, or COPD, this functionality allows for more proactive care delivery. EHR vendors that include these capabilities often help small practices align with both quality reporting standards and long-term patient engagement strategies.

Implementation, Training, and Support

Ease of implementation is a common concern for small practices. Without the support of in-house IT departments, providers need systems that can be deployed quickly, with minimal disruption. Most modern EHR vendors offer cloud-based solutions that can be set up in a matter of days or weeks, rather than months.

Training and ongoing support are equally important. Many vendors now provide self-paced learning resources, live chat, and phone support to help users navigate issues. Some also assign onboarding specialists to assist with data migration and workflow configuration. The quality of this support can be a major differentiator—especially for practices that operate with lean administrative teams.

Compliance and Data Security

EHR systems used by small practices must meet the same regulatory and security requirements as those used by large organizations. HIPAA compliance, audit logging, role-based access control, and data encryption are essential. In recent years, multi-factor authentication has become a standard security feature across many platforms.

Practices involved in MIPS reporting or other CMS quality programs also require tools for generating and submitting quality metrics. EHRs that include built-in compliance tracking and reporting dashboards reduce the administrative workload and help practices avoid penalties.

The Future of EHR for Small Practices

The EHR market continues to evolve with advancements in artificial intelligence, voice recognition, and predictive analytics. For small practices, the focus is expected to remain on simplicity, affordability, and efficiency.

Ambient clinical documentation and AI-powered scribing tools are emerging trends that may reduce the time clinicians spend on charting. These tools are particularly relevant to solo providers looking to maximize patient interaction time.

At the same time, increased interoperability requirements under initiatives like TEFCA (Trusted Exchange Framework and Common Agreement) will push EHR vendors to prioritize data exchange capabilities. Practices that want to remain competitive—and compliant—will need systems that communicate easily with labs, hospitals, payers, and referral networks.

Final Thoughts

Choosing the right EHR software is a strategic decision for small medical practices aiming to grow while maintaining quality care. The best systems support not only clinical documentation but also billing, compliance, and patient engagement. They integrate with third-party tools, offer specialty-specific features, and provide the flexibility to evolve alongside the practice.

While several well-known vendors continue to compete in this space, the best solution depends on the unique needs of each practice—whether it’s behavioral health, internal medicine, or family care. Cost, usability, support, and functionality must all be evaluated carefully. CureMD and other reputable providers offer viable options, but ultimately, the right EHR is the one that aligns with the practice’s workflow, budget, and long-term goals.

SafeMoon CEO Found Quilty On All Counts Charges Bordering on Crypto Investment Fraud

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Braden John Karony, the former CEO of SafeMoon, was found guilty on all counts in a criminal case tied to a major cryptocurrency fraud scheme. A New York federal jury convicted him on May 21, 2025, in the U.S. District Court for the Eastern District of New York. The charges included conspiracy to commit securities fraud, wire fraud, and money laundering.

Prosecutors alleged that Karony, along with co-conspirators Thomas Smith and Kyle Nagy, misled investors about the accessibility of SafeMoon’s “locked” liquidity pools, diverting millions of dollars for personal gain. Karony personally acquired over $9 million in crypto assets, which he used to purchase luxury items such as a $2.2 million home in Utah, additional properties, two Audi R8 sports cars, a Tesla, and custom trucks. The SafeMoon token, which once reached a market capitalization of over $8 billion, collapsed after the fraud was exposed, with its value dropping significantly.

Thomas Smith, the former CTO, pleaded guilty and testified against Karony, while Kyle Nagy, the platform’s creator, reportedly fled to Russia and remains at large. Karony faces up to 45 years in prison, with sentencing yet to be scheduled. The case was investigated by the FBI, IRS Criminal Investigation, and Homeland Security Investigations, with assistance from the SEC.

The conviction of SafeMoon CEO Braden John Karony carries significant implications for the cryptocurrency industry and highlights a growing divide between regulatory efforts and the decentralized ethos of crypto. Karony’s conviction underscores the U.S. government’s aggressive stance on crypto fraud. Agencies like the SEC, FBI, and IRS are intensifying efforts to crack down on scams, signaling that even decentralized platforms are not beyond reach. This could lead to stricter regulations, potentially stifling innovation but also protecting investors.

The SafeMoon case, where a token once valued at over $8 billion collapsed, erodes trust in speculative crypto projects. Investors may become more cautious, favoring established cryptocurrencies like Bitcoin or Ethereum over newer, less transparent tokens. This could reduce liquidity in smaller altcoin markets. The guilty verdict sets a legal precedent for holding crypto executives accountable for misrepresenting token mechanics, such as liquidity pool “locks.” It may deter similar schemes but also pressure developers to ensure transparency in smart contracts and tokenomics.

With co-conspirator Kyle Nagy reportedly fleeing to Russia, international cooperation in crypto fraud cases is under scrutiny. This could push regulators to demand more robust KYC (Know Your Customer) protocols or centralized oversight, clashing with crypto’s decentralized principles. Supporters of oversight, including regulators and cautious investors, argue that cases like SafeMoon justify stricter rules to prevent fraud, protect retail investors, and stabilize markets. They view convictions like Karony’s as necessary to weed out bad actors and legitimize crypto as an asset class.

Crypto enthusiasts who prioritize decentralization see such crackdowns as overreach, arguing that they undermine the industry’s core principles of autonomy and freedom from centralized control. They contend that investor education and self-due-diligence should take precedence over regulatory intervention, and that cases like SafeMoon are outliers exploited to justify broader control.

This divide fuels debates over how to balance innovation with accountability. Pro-regulation forces may push for clearer legal frameworks, while purists advocate for community-driven solutions like DAOs (Decentralized Autonomous Organizations) to self-regulate. The SafeMoon case, with its high-profile fraud and dramatic fallout, could tilt the scales toward stricter oversight, potentially alienating those who view crypto as a rebellion against traditional financial systems.

INEC Creates AI Division to Bolster Electoral Reform in Nigeria, But Critics Say Human Factor Still The Problem

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The Independent National Electoral Commission (INEC) has taken a major step toward integrating advanced technologies into Nigeria’s electoral process with the creation of a dedicated Artificial Intelligence (AI) Division under its ICT Department.

Announced on Thursday, the initiative is part of a broader reform drive aimed at modernizing election management systems and strengthening the credibility of future polls—especially the 2027 general elections.

According to the Commission, the newly approved AI Division will focus on harnessing AI to enhance logistical planning, voter engagement, data-driven decision-making, and combatting disinformation. INEC says the initiative will also be critical in automating internal processes to mitigate risks and detect irregularities in real-time.

But while the move is being touted as forward-thinking and innovative, several electoral experts, civil society actors, and former government officials believe that the deployment of technologies—no matter how advanced—cannot substitute for institutional integrity and political will. The consensus remains that the biggest threat to Nigeria’s elections is not the absence of technology but the persistent manipulation of the process by human actors.

In its statement, INEC explained that the AI Division was approved during its weekly meeting in Abuja after evaluating recent global conversations on the relevance of artificial intelligence in electoral activities. These discussions, the Commission noted, emphasized both the risks posed by AI in the spread of fake news and its utility in electoral planning, risk detection, and service automation.

“The Division will enable the Commission to better coordinate and maximize existing technology investments through centralized AI governance,” said Sam Olumekun, National Commissioner and Chairman of INEC’s Information and Voter Education Committee.

“Furthermore, it will strengthen electoral credibility through predictive analytics, automation and intelligent safeguards.”

INEC added that the Division will focus on geospatial intelligence to support logistics and polling unit allocation, which have often posed significant logistical nightmares in past elections.

Human Factor: The Persistent Weak Link

However, this optimism is being met with cautious skepticism by Nigerians who point to Nigeria’s long history of election malpractice rooted in manipulation by individuals within and outside the electoral commission.

It is believed that while AI may help reduce technical glitches and improve planning, it cannot resolve the deeper systemic issues that have plagued Nigeria’s elections for decades—issues tied to collusion, manipulation, and noncompliance with established rules.

One of the most referenced examples is the 2023 general elections, during which INEC’s Results Viewing Portal (IREV)—a platform touted as a transparency tool for real-time results uploads—allegedly suffered a glitch during the presidential election. The failure to transmit results from polling units as promised led to widespread public outcry, eroded trust in the process, and sparked legal challenges that resulted in the courts deciding the winner of the presidential election.

The alleged glitch, which INEC attributed to technical failures, is still viewed by many as evidence of how the human element continues to compromise technological innovations in the electoral space.

Jonathan’s Call for Automation for Credibility

In February, former President Goodluck Jonathan, widely praised for his role in reforming Nigeria’s electoral system during his tenure, reinforced the argument that without full automation, electoral integrity will remain elusive. Speaking at the YIAGA Africa reflection conference on democratic elections in West Africa, Jonathan used the IREV incident to underscore the importance of eliminating human discretion in key technological processes.

“The issue of controversy about BVAS and IREV for example—if BVAS captures data, that data should be automatically uploaded to the IREV,” Jonathan said.

“It should not depend on an interface by a human factor who will now come and tell us about glitches. Because if it is so automated that no human factor will stop it, then of course it will be seamless.”

“But if I am to direct the BVAS before the BVAS is supposed to do the work that has been automated, then I can do what I think soothes my interest,” he added.

Jonathan’s remarks highlighted a growing demand for end-to-end electoral automation—particularly in critical phases such as accreditation, voting, and result transmission. In his view, unless systems are designed to function without discretionary interference, electoral technologies will continue to be tools in the hands of those determined to undermine the process.

The Call for Parallel Institutional Reform

While welcoming the AI Division as a step in the right direction, many Nigerians insist that its success will depend on broader institutional reforms, staff reorientation, and strict enforcement of electoral laws.

Others have urged INEC to publicly disclose the framework that will govern the deployment of AI, including ethical guidelines, audit trails, and safeguards against internal sabotage.

INEC maintains that the AI Division will help it prepare more efficiently for the 2027 elections, allowing for better planning, quicker response to emerging threats, and enhanced transparency. But the Commission also acknowledges that the reforms fall within areas that only require its administrative authority and do not depend on legislative approval.

While this gives INEC the flexibility to act swiftly, it also raises questions about oversight and accountability. For the reforms to succeed, observers say, INEC must not only invest in intelligent machines but also build a culture of integrity among those who run the systems.