In veterinary circles, artificial intelligence has become the buzzword of the decade, but many of the so-called AI solutions amount to consumer tools awkwardly applied to clinical settings. These systems, often powered by ChatGPT integrations, quietly siphon sensitive data into public training models. Financials, practice strategy, and even client records can be exposed often without the clinic ever knowing.
Michael Gerges, founder of viggoVet, has seen the consequences firsthand. “People don’t realize their business strategy is now public information. Their pricing models, margins, and even client confidential data are available to anyone who knows the right prompt,” he explains.
viggoVet takes the opposite route. It is the only AI platform in veterinary medicine fully trained on private, healthcare-specific data, with no ties to public consumer AI. Hosted within a clinic’s own infrastructure, under Swiss-level compliance and military-grade encryption, viggoVet is designed not to collect data but to protect it. Even the viggoVet team itself cannot access a clinic’s information, thanks to a zero-knowledge architecture. It is an AI with a conscience and a lock on the door.
Smart Systems for Smarter Veterinary Profits
Across the veterinary industry, outdated systems and weak financial visibility are silently draining clinics. The typical practice loses 8–12% of its profit every year to untracked petty cash, missing receipts, and hidden inventory losses.
viggoVet’s system plugs those holes automatically. AI-powered receipt parsing eliminates expense tracking gaps. Inventory modules monitor expiry dates, flag stock issues, and automate reorder points. Pro forma invoicing allows VAT to be charged only once payment is confirmed, not before. In one case cited by viggoVet, a single-clinic practice eliminated VAT losses entirely within three months of adopting the system.
“Veterinarians aren’t struggling because of poor medicine,” Gerges says. “They’re struggling because they don’t see where the money’s going until it’s gone.”
In the first 30 days, viggoVet provides complete financial visibility: daily revenue by service type, profit margins by procedure, outstanding invoices, and real-time cost tracking. In months two and three, clinics typically recover the full platform cost through tangible recovered profit.
Let Medicine Lead Again
Pressure to commercialize care is rising fast, especially in regions experiencing a veterinary boom. In several rapidly developing markets, the number of clinics has more than tripled over the past four years, yet up to 60 percent of new practices still fail within their first year. Aggressive acquisition strategies, staff burnout, and data misuse are at the heart of that collapse.
Consumer AI tools, widely adopted by clinics hoping to improve efficiency, have introduced new risks. Investigations by viggoVet specialists have revealed clinic data from multiple regions, including revenue figures and operational details, retrieved from ChatGPT using only structured prompts. This information has already been used by clients to demand discounts and accuse clinics of overcharging.
viggoVet’s platform neutralizes that risk by keeping everything private and local. It runs without internet dependency, with all AI training conducted on-device, not in the cloud. Its automation is deeply practical. From advanced SOAP note dictation with veterinary-specific language recognition to lab result parsing and diagnostic pattern support, viggoVet lightens the clinical load without interfering with care decisions.
It also enforces strong ethical boundaries. No sales targets are baked into the AI. No upsell prompts are pushed. It simply works to make the medicine easier to deliver and more financially sustainable to practice.
Private Intelligence as a Market Defense
More than ever, veterinary practices are being targeted not by patients, but by larger entities looking to acquire them under stress. The pattern is well-documented. Clinics with outdated systems, weak reporting, or fatigued owners become prey. They are offered short-term gains but absorbed into aggressive growth campaigns that prioritize image over clinical integrity.
The difference between vulnerable and acquisition-proof practices often comes down to data control. Clinics using consumer AI integrations can unknowingly leak critical performance metrics. In contrast, viggoVet clinics operate with full strategic privacy. There is no external data sharing, no backdoor exposure, and no training leakage into third-party models.
According to internal viggoVet data, top-performing clients achieve over 30 percent profit margins, placing them in the global top 1 percent of veterinary practices. That performance isn’t theoretical. It is the product of disciplined systems, strategic reporting, and a refusal to compromise on either care or privacy.
“We’re not just helping practices grow,” says Gerges. “We’re protecting them from being acquired under pressure or outmaneuvered through leaked data. Privacy is not a luxury. It’s strategic survival.”
90 Days to Total Control
viggoVet’s onboarding is a transformation. Over a 90-day timeline, clinics receive tailored support across five dimensions: platform setup, financial analysis, expense tracking, AI feature integration, and staff training. Unlike generic dashboards, viggoVet’s systems are purpose-built for the business of veterinary medicine, from role-based permissions for receptionists and nurses to secure client communications and professional reputation handling.
The numbers make the case. On average, viggoVet clinics see a 25–30 percent reduction in administrative time and an 8–12 percent increase in profitability from expense recovery alone. Multi-location practices have improved profits by 40 percent within 18 months. For single-clinic operations, even a modest performance increase can mean survival over closure.
Ultimately, viggoVet is a counteroffensive against data exploitation, staff burnout, and strategic vulnerability. It gives practices the tools to reclaim control, maximize profit, and practice medicine with clarity and confidence.
Because real AI for veterinary care does not come from the cloud, it starts with privacy, thrives on precision, and proves its value in practice.
