Gold’s Gym Costa Rica, a premier fitness center in San José, faced a significant challenge during the pandemic. Government guidelines required all gyms to have a booking system in place to reopen in early 2020. The gym had to adapt quickly and turned to ManyChat for Facebook Messenger and Calendly for help. However, a problem arose when younger clients started requesting booking links on Instagram, which required Gold Gym’s community manager to manually reply to each person on Instagram Messenger. This manual process was time-consuming and inefficient, taking roughly an hour to confirm a class sign-up. The gym had a strong community on Instagram and wanted to leverage this platform to get more sign-ups. The challenge was to cut down on message response times and avoid tedious phone calls and manual messaging through WhatsApp, like some of its competitors.

La Catrina, a popular local restaurant in St. Augustine, Florida, faced a significant challenge when the COVID-19 pandemic hit and forced the closure of dine-in services. Prior to the pandemic, the restaurant had been successfully promoting its dine-in services and loyalty program using ManyChat, a chat marketing platform. However, with the sudden shift in circumstances, La Catrina found itself unprepared for online sales. The restaurant needed a strategic approach to stimulate interest, implement online ordering, and drive sales. The primary goal was to increase the number of online sales and attract new customers to its loyalty program, which offered rewards to high-value diners.

Lauren Tickner, a renowned online coach and founder of the NASDAQ Top 10 Podcast 'Impact School', was facing challenges in managing her client communications and onboarding process. With a massive Instagram following of over 133K, she was inundated with direct messages, which she responded to manually. This process was time-consuming and detracted from her ability to focus on growing her business. Additionally, she was experiencing declining email rates, which further complicated her communication efforts. Despite her initial skepticism about chatbots, due to her negative experiences with Like and Follow bots on Instagram, she recognized the need for a more efficient and effective solution.

PPC Entourage, an agency that optimizes and expands Amazon sponsored product campaigns, created a charity organization called Days of Nuggets in 2019. The organization's mission was to raise awareness for Operation Underground Railroad (O.U.R.), a non-profit fighting against child human trafficking. In their first year, they hosted a fundraiser called '12 Days of Nuggets', where marketing experts from the Amazon selling and e-commerce space shared knowledge and insights. The challenge was to raise awareness and reach more potential donors for O.U.R. To achieve this, Days of Nuggets partnered with Angela Allan and Trilce Jiron on a Chat Marketing campaign. Their goal was to keep people involved in the event and encourage donations for O.U.R. They faced the challenge of engaging attendees, collecting their contact information, and encouraging them to donate.

Europcar Mobility Group, a global mobility service provider operating in 130 countries, was facing challenges in accurately predicting fluctuations in demand for car rentals at airports based on market changes. The International Air Transport Association predicted an increase of 2.35 billion annual passengers by 2037, particularly in the Asia-Pacific region, which would significantly impact Europcar's operations. To address this, Europcar aimed to build an application using data from various sources, including fleet traffic, passenger volume, reservation and billing data, and data on new airline routes. However, the data was scattered across different locations, in different formats, and was massive in volume, posing a significant challenge.

Welocalize, a global translation and localization company, was facing a significant challenge in managing its client portal. The company supports and manages the globalization programs of numerous leading brands, providing a range of services including localization, digital marketing, patent translation, and AI-enabled services. This vast array of services led to a complex web of multiple users, logins, and entry points, which was not sustainable. The company's client portal housed several workstreams serving multiple stakeholders within one organization, containing sensitive and confidential data that needed stringent protection from both internal and external security breaches. The main targets of cybercriminals, usernames, and passwords, posed a significant threat to information security. While the portal required complex security measures, including granular security clearances for each user, Welocalize needed to avoid creating a frustrating and unnecessarily complex user experience.

Sprinklr, a tech platform designed to assist large brands in creating and managing social campaigns, was facing significant challenges with their testing processes. The existing test suite, developed by another company, was unstable and unreliable. Each test run resulted in a different number of randomly failed tests, making it impossible for the team to rely on the tests for release decisions. The tests were time-consuming, often taking several hours to complete. The architecture of the test suite was not scalable and was difficult to maintain for a large number of tests. Furthermore, the tests could not be integrated with other testing and DevOps tools. The challenge was to build a formal QA process, stabilize automated tests, increase their speed, redesign the architecture to support integration with third-party tools, and keep test documentation up to date.

APTUS DesignWorks Inc., a product development and machine design services provider based in Maryville, Tennessee, was facing challenges in accelerating project times and delivering quality service to their customers faster than their competitors. Despite their best agile practices, collaboration tools, and in-house iterative processes, they realized they needed external resources to provide them with substantial advantages in terms of price and lead time. The company was also struggling with the manufacturing approval phase and product launch, which was slower than desired. Before Altimade, they used to order the bare boards and components separately to produce a prototype, which was either assembled in-house or outsourced to a third party. Both methods required considerable time and resources.

Chalhoub Group, a leading luxury partner across the Middle East with a network of over 750 retail stores and a workforce of over 12,000 people, was facing challenges in managing high volumes of job applications from all over the region and the world. The majority of the open positions were in stores and required a quick and seamless recruiting process. Additionally, the group was undergoing a significant digital transformation and was in need of attracting top digital and tech-savvy professionals. The existing process was time-consuming for candidates, taking them up to three minutes to find a relevant position on the company's career site.

The global car rental giant, Hertz, faced a significant challenge when the COVID-19 pandemic led to a shutdown of the travel industry, grounding 95% of their fleet. The company had to deal with massive layoffs and bankruptcy, which necessitated a strategic and innovative approach to rebuild and recover. The primary challenge was to maintain their workforce in their corporate building, which was crucial for their success story. Additionally, they had to ensure that pay was equal across markets to keep frontline in-person roles filled. They also discovered that part-time workers were interested in more flexible scheduling, and the standard 12-hour shifts at airport locations had become an obstacle for candidates and employees with dependents at home.

Uber, a global ride-hailing and food delivery service operating in over 10,000 cities across 72 countries, was facing a challenge in attracting a diverse range of talent. Despite making over 10,000 hires per year, the company was struggling to humanize its brand and give prospective employees a real sense of what it's like to work at Uber. The company wanted to showcase its unique culture, the incredible people making an impact, and pull back the corporate curtain. However, aside from its drivers, prospective talent did not know enough about the people who work for Uber, what they do, and the amazing opportunities that Uber provides.

1Password, a data protection company, partnered with Drift in 2022 to enhance their marketing and sales meetings. However, they realized the potential to use Drift's unified platform to improve their customer support experience and make their service agents' work more efficient. The primary goal was to reduce first response times and resolution times for customer support. Previously, they had used chat, but it lacked deflection or logic, leading to a subpar experience for both website visitors and the 1Password team. They wanted to create an exceptional customer and user experience without separating their sales, marketing, and service tools.

In 2019, EAB, a trusted partner to education institutions and corporations, acquired YouVisit, a virtual tour platform and existing Drift customer. With Drift now at their disposal, EAB saw an opportunity to experiment with chat. Initially, they used Drift only to generate demo requests, but they knew there was potential to tap into additional Drift features to scale the impact. They wanted to provide website visitors with fast, frictionless experiences. As site visitors started using the Drift chatbot for inquiries beyond YouVisit, EAB realized there was an opportunity to generate demo requests and commercial conversations for their other lines of business. However, they were hesitant about upgrading to AI due to its unfamiliar territory.

Matthews Australasia, a leader in intelligent product identification, product inspection, and software traceability solutions, was facing a significant challenge with their outdated and inefficient customer support system. Their support chat was overburdened due to the lack of automation, requiring a team of three to constantly manage incoming customer chats and phone calls. The existing system was limited to simplistic conversations, which meant customers had to know exactly what they needed and couldn't engage in meaningful conversations. The system was also very resource-dependent and manual, offering no visibility into website activity, visitor information, or customer needs. Matthews Australasia was in dire need of a solution that could provide a better experience for both their team and their customers, and elevate their efforts to new heights.

Pantheon, a leading WebOps platform, was facing challenges in evolving its marketing strategy to keep up with its rapid growth and changing needs. The team was in search of a tool that could handle advanced marketing functions such as seamless handoffs between long-term conversations, precise audience targeting, and data integration. They were using Intercom, but it was not fulfilling all their needs. Additionally, Pantheon wanted to create more engaging automated experiences on their website to offload person-to-person interactions. They saw a great deal of potential in this approach, but they needed a solution that could help them create the self-service experiences they were aiming for.

SAP Concur, a leading brand for travel, expense, and invoice management solutions, was facing challenges with their previous chat tool. The tool was not providing the desired level of personalization and optimization. The company wanted a solution that would not only help their sales team drive new leads but also reduce the volume of support inquiries they were receiving. As a global company servicing millions of users, SAP Concur also wanted to nurture their customers at every stage of the buyer’s journey. They realized the need to design and optimize their services based on data, rather than assumptions.

Thales, a global technology leader, was seeking a conversational solution to support all website visitors and enhance their digital engagement. The company wanted to ensure that they could qualify the visitors and understand their needs to direct them to the right person. Thales had previously used live chat via Olark, but they needed a more scalable solution that offered superior analytics, personalization, routing, and alignment with their strategy. The challenge was to find a solution that could capture leads, route conversations to the right regional and product-focused sales team members, and provide insights to help digitally transform the business.

Auteco Mobility, a leading sustainable-mobility company in Colombia, was facing challenges in optimizing data usage to improve decision-making and spend its time more strategically on portfolio, analytical, and operational processes. The company was struggling with scattered databases, which often took weeks to retrieve data from. This was a significant hindrance to the company's ability to make timely and informed decisions. Additionally, the company was also facing difficulties in tracking its users' experiences, which was crucial for improving its services and products. The company needed a solution that could streamline its data analytics processes, improve user experience tracking, and automate its processes.

Spotahome, an online platform for mid- to long-term rentals, was facing a challenge in understanding their users and website visitors. The Customer Knowledge Manager, Sara Parcero-Leites, was tasked with ensuring the site was running smoothly and identifying opportunities for improvement. However, the team was not utilizing Hotjar, a behavior analytics tool, to its full potential. The tool was only being used superficially, with a few people looking at some recordings and heatmaps, but not conducting a lot of analysis. This lack of deep analysis was a missed opportunity for Spotahome to gain valuable insights about their users' behavior and improve their platform accordingly.

Arek Oy, a Finnish company that builds and maintains information systems for pension insurance, was looking to modernize its infrastructure to improve efficiency and agility. The company wanted to adopt a hybrid approach, using a combination of private and public clouds, while ensuring data protection at all times. Arek was particularly interested in boosting capacity for its core applications that manage pension calculations and provide real-time results. However, the company faced challenges in scaling cost-effectively and quickly to support more users, which slowed its time to market for introducing customer services. Additionally, Arek aimed to eliminate outdated networks that could slow response times by as much as 30 seconds and reduce IT complexity to accelerate response times and gain better control over CPU use.

Atom bank, the UK’s first app-based bank, was facing challenges with its existing infrastructure which was slowing growth and limiting the bank’s agility. As the bank attracted more customers and wanted to offer more products, it began to feel the need for a more robust and flexible infrastructure. Initially, due to regulatory constraints, Atom bank had partnered with a third-party to host its infrastructure in an on-premises data center. However, as regulations evolved to accommodate cloud computing, Atom bank began searching for an alternative infrastructure. The bank needed a solution that would ensure speed and reliability even as it gained more customers and added more services. It also needed to be cost-effective and agile, allowing the bank to start new projects or launch new environments without having to invest in new hardware every time.

Trident Trust, a global leader in fund administration, faced significant challenges when it first ventured into the crypto space in 2017. The company had to collect its clients' crypto transactional data through mechanisms that were often cumbersome and unsustainable, such as manual input, files, and screenshots. Once the data was collected, Trident used spreadsheets to apply price and derive the trading activity value. This process was not only laborious but also required Trident to manually transform the data into a format that was easily consumable by traditional fund accounting systems. The lack of automation and the need for manual intervention made the process inefficient and prone to errors.

The case study revolves around a global shipping company, one of the largest in the world, with over 135 years of experience in the industry. The company manages around 600 vessels and employs 20,000 people on shore and at sea, through nine ship management centres worldwide. The company was aware of the potential damage cybercrime could inflict on its operations, finances, and reputation, especially after the NotPetya malware attack on Maersk in 2017. The company had some security controls in place, but these did not provide visibility across its complete hybrid cloud infrastructure, including Office 365. They also lacked confidence that attacks would be identified quickly enough to minimise potential damage and disruption. With a relatively small number of IT specialists for its size, the company sought a third party to help with day-to-day threat detection, enable a more proactive approach to cyber security, and mitigate future security risks. They also needed to ensure that appropriate controls and processes were in place to meet all its data protection obligations, including the ability to detect and report breaches in line with the GDPR.

Lumin Digital, a fintech company specializing in digital banking solutions, was seeking to build a modern, multi-tenant data platform to support advanced analytics, reporting, and enable various AI/ML use cases. The initial use cases identified were focused on improving abilities to monitor and detect risk involving user sessions and ACH transactions. The company's mission was to help financial organizations preserve and nurture their relationships with customers in today's evolving market. To meet their ambitious goals, Lumin needed a trusted partner to design and build the desired data platform, implement AI/ML use cases, and ensure that the platform was optimized for stable, cost-efficient performance.

TripActions, a corporate travel management organization, faced a significant challenge in enabling secure banking transactions without the need for third-party services. The company aimed to accept customer payments directly, track all banking transactions processed through the platform, and securely collect and store critical and client-sensitive data. To achieve these objectives and spur revenue growth by attracting new enterprise clients, TripActions needed to migrate its platform to a secure PCI-DSS-compliant infrastructure. However, the existing infrastructure had several network, user access, monitoring, alerting, and CI/CD issues that needed to be addressed. The company approached Provectus to upgrade their infrastructure as part of their preparation for PCI-DSS compliance certification.

BetterMe, a leading behavioral healthcare app publisher, faced a significant challenge during the pandemic. Despite being well-positioned to capitalize on the shift from gyms and group fitness classes to home workouts, the company found itself in catch-up mode. The behavioral changes of its users, such as the marked increase in time users were spending on the app, required rapid adaptation. The main challenges were the speed of experimenting and responding to user needs while maintaining a high satisfaction level. The company needed to balance velocity and satisfaction levels, which was a complex task. Additionally, BetterMe needed to understand how its new features were affecting user retention and revenue rates, and which releases were gaining traction and which were not.

Monday.com, a work operating system (Work OS) that allows organizations to manage every aspect of their work, faced significant challenges in implementing machine learning (ML) solutions. The company's data team, BigBrain, was responsible for the data and analytics platform and ML initiatives. However, as demand for ML solutions grew, the data scientists found themselves heavily reliant on engineers to bring models to production. This resulted in a high time to value, with models often waiting for deployment until a developer was available to set up the infrastructure. Furthermore, the data scientists were siloed and had a disconnected workflow between where the model was trained, deployed, and monitored, creating unnecessary complexity. Key pain points included excessively high time to value due to production bottlenecks, dependency on developers and engineers for deployment, missing critical MLOps capabilities, inability to consolidate distinct endpoints into a multi-model endpoint pattern, and disjointed workflow due to each data scientist working with different machine learning tools.

ChargeHub, a service that helps drivers locate over 120,000 public EV charging points across North America, faced a significant challenge in maintaining its always-on platform. The company aggregates real-time data from third-party providers and its community of drivers, which it then makes available to drivers through its mobile and web apps. ChargeHub's API is also featured in mapping products, in-car entertainment systems, and elsewhere. The company recently launched ChargeHub Passport, an app that allows drivers to use multiple charging networks. With thousands of consumers relying on ChargeHub and strict SLAs governing API availability to partners, there was no room for downtime or inaccurate data. The challenge for ChargeHub's agile engineering teams was to maintain high-quality standards without compromising productivity. They identified handover between teams as a particularly risky moment in their development lifecycle, with ad hoc methods of teaching and learning APIs damaging both productivity and code quality.

USAA, a fully integrated financial services organization, was facing the challenge of scaling its design process to meet the needs of its growing digital customer base. The company, which has been committed to digital growth since the launch of its first website in the 1990s, was looking for ways to bring exceptional service to all digital channels without compromising efficiency or empathy in the design process. The challenge was to maintain technical design consistency across all product teams and to develop a design-specific scorecard that could monitor engagement with compliance and legal, as well as the accessibility of the design program. Another challenge was to develop individual designers' skills and deploy them within the lines of business to work on specific projects.

Ubik, an outsourcing company that specializes in building tech teams, was facing a significant challenge in sourcing candidates quickly and efficiently. The company's CEO and founder, Mike Bysiek, who has a rich history of working with big names like Xerox, Johnson & Johnson, and American Express, realized the need for a tool that could expedite the process of finding suitable candidates. The challenge was not just about finding candidates, but finding the right ones that align with the business goals of the company. The traditional methods of sourcing were proving to be time-consuming and less efficient, which was a major hurdle in the smooth operation and growth of the company.