We manage your daily operations with AI and human talent—you just grow

Comprehensive solutions in artificial intelligence and human talent so your business becomes automated, efficient, and more profitable.

Don’t hire staff, don’t buy software, don’t waste time operating.

We do it for you. Packages starting at $7,000 MXN per month.

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ServicIA: The Perfect Synergy Between AI and Human Talent.

With ServicIA, your company operates at the highest level of professionalism and control—for a fraction of traditional costs—while you maintain full control with clear reports and decisions always in your hands.

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What is LLMOps?

LLMOps (Large Language Model Operations) is the core of modern operations. To provide you with complete solutions at low costs.

Who Is It For?

ServicIA works with all types of companies to help them save, become more efficient, and focus on the essentials of their business.

What Makes Us Unique

We manage personnel and processes under full regulatory compliance according to the STPS subcontracting law, in collaboration with the Mexican Institute of Artificial Intelligence to continuously optimize our practices and align with the highest regulatory and technological standards.

Our Services

ServicIA transforms the way companies handle their operations. What was once only accessible to large corporations is now possible for your business too: efficiency, cost savings, and clear processes without the need for in-house staff. From local shops and offices to growing enterprises, we help SMEs and large companies operate better with proven savings.

Supervision 

We streamline supervision of thousands of points in minutes

Asset Management

Inventory and document controls

Administrations

Collections, payments, expenses, and tasks

Operational Personnel

Absolute and real-time control

Fleets

We operate and manage vehicle fleets across the entire Mexican Republic

Technologies

We implement systems and platforms in any industrial process

Companies like yours already using AI

Restaurant expansion into the US thanks to AI

Challenge
The Juici Patties chain faced supply chain disruptions as it attempted to expand in the United States.
Their distribution centers were running out of supplies, impacting costs and service.

Solution
They implemented an artificial intelligence system that analyzed point-of-sale data, weather, and consumer trends to forecast demand at each location and adjust operations in real time.

Impact
• Distribution centers consistently stocked.
• Reduced waste and improved cost control.
• Optimized opening hours and consistent sales in the new market.

How a supermarket chain increased its revenue by 10% with AI

Challenge
A regional supermarket chain was unable to accurately predict demand due to outdated and fragmented systems. Forecasting errors led to overordering and stockouts, impacting profitability and customer confidence.

Solution
An AI-powered demand forecasting platform was implemented, integrating real-time sales data and trends to generate dynamic replenishment recommendations.

Impact
• 27% improvement in forecast accuracy. • 40% reduction in waste. • 10% increase in revenue.

How Starbucks uses AI to improve inventory accuracy

Starbucks was struggling to maintain inventory accuracy at high-traffic retail locations for essential items like oat milk and caramel. Managing inventory was time-consuming and prone to human error, and traditional stocking processes were infrequent and inefficient.

They implemented an AI-powered inventory counting system that automatically counted items and flagged low-stock products in real time.

The system has reduced the time spent on manual counting and allows for frequent stock checks to ensure the availability of key items.


How Fiserv improved customer feedback with AI

Challenge
The fintech firm Fiserv found that its customer satisfaction surveys were generating brief and vague responses, preventing it from identifying real customer pain points and obtaining actionable information.

Solution
They implemented an AI-based feedback system that intuitively responded to customer answers and adapted follow-up questions in real time.

Impact
• 40% more respondents provided detailed information.
• Practical and actionable insights were generated.
• Greater capacity to improve products and customer experience.

How Docket increased its sales by 12% with AI

Challenge
The software company Docket was struggling to scale its pre-sales support. Growing demand was outpacing its customer service team's ability to handle technical inquiries and complex sales conversations.

Solution
They developed an AI platform that learned from top-performing employees, replicating their decision-making logic and providing contextual, real-time answers throughout the sales process.

Impact
• 12% increase in sales thanks to higher conversion rates.
• 83% reduction in operating costs.
• Ability to scale support without compromising quality.


How AI helped farmers manage unpredictable conditions

Challenge
Bayer Crop Science needed to provide farmers with accurate and timely information about their crops. Traditional advisory services were limited by geography, available personnel, and the amount of data they could process.

Solution
They deployed an AI system capable of analyzing large volumes of research, weather data, and soil conditions to generate fast, personalized recommendations.

Impact
• They reached more farmers with expert advice in less time.
• They improved their ability to respond to unpredictable environmental conditions.
• They provided actionable information that increased crop resilience.

How a banking institution saved $50 million with AI

Challenge
The bank's call center was receiving a very high volume of customer calls, especially from smaller businesses. The challenge was to keep costs down without sacrificing response time or support quality.

Solution
They integrated AI tools into their call centers, which handled interactions with smaller customers and managed routine inquiries automatically.

Impact
• Over $50 million saved annually in operating costs.
• Fast and consistent responses for smaller customers.
• Significant reduction in workload for human agents, allowing them to handle more complex cases.



How KPMG reduced audit time by 30% with AI

Challenge
KPMG was performing manual audits that took weeks and were prone to errors. With tight regulatory deadlines and increasingly demanding clients, they needed to reduce turnaround times and improve accuracy. Solution
They implemented an AI-powered audit assistant that reviewed documents, flagged anomalies, answered auditors' questions, and automatically generated audit narratives.

Impact
• 25% improvement in error detection.
• 30% reduction in review times.
• Faster audit delivery and the ability to offer more competitive pricing.

How FLO reduced lost sales by 12% with AI

Challenge
The footwear retailer FLO relied on legacy spreadsheets to plan inventory and forecast demand. These manual processes lacked real-time visibility and made it difficult to respond to market changes.

Solution
They implemented an AI-powered forecasting platform that integrated sales, weather, promotion, and external factors data to anticipate demand in near real-time.

Impact
• Product availability increased from 71% to 94%.
• Out-of-stock items reduced from 15% to 3%.
• Lost sales decreased by 12%.



How Drip Capital increased its productivity by 70% with AI

Challenge
The fintech company Drip Capital was investing a significant number of hours in repetitive, manual tasks such as document review, invoice verification, and customer communication. As they grew, scaling these workflows became costly and risky, potentially leading to errors that could erode customer trust. Solution
They integrated AI tools to automate the extraction of key information from documents and immediately detect discrepancies or missing data.

Impact
• 70% increase in the productivity of employees using the AI ​​tools.
• Significant reduction in costs associated with manual processes.
• Increased customer trust and satisfaction thanks to more reliable and faster processes.

How Daily Harvest reduced operating costs with AI

Challenge
The food delivery and food preparation company Daily Harvest faced high costs for the logistics of frozen and perishable products, especially due to the intensive use of dry ice and inefficient packaging.

Solution
They implemented AI systems that matched products with customers and automatically adjusted the amount of dry ice based on the destination and weather conditions.

Impact
• Increased freshness of delivered products.
• Reduction in customer complaints.
• Decreased operating costs thanks to more precise use of dry ice.




How Counterforce Health achieved a 70% claims reversal rate using AI

Challenge
The health-tech startup Counterforce Health faced a backlog of patients with medical claims incorrectly denied by insurers. Preparing appeals was a time- and resource-intensive process, reducing the success rate of reversals.

Solution
They developed an AI-powered appeal letter generator that analyzed denial letters, policies, and patients' medical records to draft personalized and well-founded appeals.

Impact
• They achieved an estimated reversal rate of 70%.
• They outperformed the averages for manual appeals.
• They increased patients' access to correct medical coverage.



How a family-run tamale shop went viral with AI

Challenge
A family-run tamale shop was looking for a cost-effective way to stand out on social media, attract new customers, and compete against chains with large advertising budgets.

Solution
They used ChatGPT to write a creative script and voiceover for a short social media video. With the script and voiceover generated by AI, the team focused solely on editing, producing a 46-second ad in just 10 minutes.

Impact
• Over 22 million views and 1.2 million likes on social media.
• Significant increase in visits to the physical store.
• Creation of viral campaigns with minimal investment.

How Lowe’s improved the customer experience with AI

Challenge
Lowe’s sales associates were receiving frequent customer questions about products, inventory, and home improvement tips. Even experienced employees didn’t always have up-to-date information, resulting in a poor customer experience and lost sales.

Solution
They implemented an AI-powered device that answered questions like “What size screws do I need?” in real time and offered expert advice on demand.

Impact
• Faster and more accurate answers to customer questions.
• Improved shopping experience.
• Increased sales thanks to more effective customer service.

How Mac Haik reduced food costs with AI

Challenge
Mac Haik Group restaurants were struggling to prepare ingredients based on projected demand. Factors such as weather, events, and customer traffic made forecasting difficult, leading to waste and impacting already slim margins.

Solution
They developed AI models that used historical sales data, trends, and patterns by day of the week to forecast ingredient quantities and generate accurate preparation lists.

Impact
• Reduced kitchen waste.
• More efficient operations and staffing.
• Significant savings in food costs.


How Counterforce Health helped patients win coverage appeals with AI

Challenge
Counterforce Health was helping patients and small clinics contest health insurance denials, a complex and time-consuming process. Every year, US insurers deny more than 850 million claims, but only 1% are appealed due to the complicated and time-consuming process.

Solution
They developed an AI platform that analyzed denial letters and coverage policies, drafted customized appeals, and contacted insurers directly.

Impact
• Reduction of appeal time from days to minutes.
• Approval rate of over 50%.
• Monthly revenue recovery for clinics and patients.



How Penn Waste improved recycling efficiency and safety with AI

Challenge
Many recycling plants face low material separation efficiency, low recovery rates, and safety risks for workers. Penn Waste was unable to process the growing volume of waste, which reduced the purity of the materials and sent more recyclables to landfills.

Solution
The company implemented Glacier's AI-powered sorting robots, capable of recognizing more than 70 types of materials and analyzing the waste stream in real time.

Impact
• Increased recovery of recyclable materials.
• Improved purity of paper and fibers.
• Reduced safety risks for workers.

How AI drastically reduced response times in healthcare

• MatrixCare, a cloud-based electronic health record (EHR) provider serving 13,000 healthcare organizations in the United States, was experiencing average response times of 20 hours for customer support requests.

• Its fragmented platform, comprised of nearly 20 different systems, was causing confusion: 60% of support calls were for user guidance rather than technical issues.

• They implemented DRUID's AI agents across Salesforce, Microsoft Teams, and mobile apps to automate routine inquiries and manage customer requests 24/7.

• Response times were drastically reduced with 96% accuracy, decreasing the volume of requests and significantly improving user feedback across all healthcare settings.

Testimonials

Real Stories of Operational Transformation

CIRCULO
Rebecca Ortiz

"Since working with ServicIA, we've reduced our operational load by more than 40%. Their intelligent management model not only automated our processes but also integrated a team that executes them. Finally, we found a partner that doesn't sell software, but results."

CIRCULO
Miguel Berillo

"Barbara and Jorge completely transformed the way we operate. Instead of worrying about managing personnel, fleets, or assets, we now have a team that handles it all for us with technology and monitoring. It's like having an external operational management that actually works, and we save costs."

Customers
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AXXA
BBVA
C&A
CALZANETTO
CHEVROLET
CLIP
EL AGUILA
EL PALACIO DE HIERRO
ELEKTRA
HIR CASA
IZZI
OXXO
TOTAL PASS
TV AZTECA
UPS

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