Persistent.AI
Client Stories
We collaborate every day with leading brands and global enterprises for AI success
We collaborate every day with leading brands and global enterprises for AI success
A global cloud and technology leader partnered with Persistent to build and maintain GenAI solution accelerators—modular templates that help developers and enterprises adopt AI capabilities without buying a full product. One of these, the Multi-Agent Custom Automation Engine (MACAE), shows how multiple specialized agents can collaborate to execute real, multi-step work at enterprise scale.
A reusable Client-Advisor Accelerator that unifies data, adds Generative AI smarts, and turns meeting prep from hours to minutes—safely, at enterprise scale.
A well-crafted clinical study protocol increases the likelihood of success in clinical trials. These documents outline key procedures for obtaining participant consent, measuring study outcomes, and maintaining data quality — serving as the foundation for ethical research and regulatory approval.
Audencia, a renowned French business school in Nantes, wanted to enhance the marketing efficiency of its product line – continuing education. It already had a Salesforce Einstein license, which powered AI capabilities such as intelligent automation and predictive analytics, and was looking to onboard Agentforce to elevate stakeholder engagement with agentic decision-making and smarter routing of queries.
What happens when decades of growth create a collage of products but slow the pace of innovation? The client is the second-largest software provider in the UK, delivering enterprise solutions across healthcare, legal, education, financial services, and people management. Its platforms are used by critical institutions such as the NHS and UK ambulance services, making the client a trusted household name.
A global hyperscale cloud and AI powerhouse leads the market with its flagship cloud platform and deep OpenAI partnership. Billions flow annually into research; the Fortune 500 fill its customer roster. Yet in the field, thousands of sellers and solution architects faced the same frustration: no matter how dazzling the R&D slide deck, enterprise buyers still asked, “Can you show it on our data—right now?”
Every lab visit is a chance to win—or lose—wallet share. When a researcher flashes a competitor’s reagent, the clock starts ticking. If a sales rep can’t surface the perfect in‑house equivalent before the conversation ends, the sale walks next door. Multiply that tension across thousands of daily interactions and speed becomes more than a virtue—it is the engine of revenue growth.
Across 130+ markets and multiple marques, buyers were bouncing between PDFs, slow pages, and busy reps just to compare trims or confirm a feature. Every time a browser tab changed or an email thread stalled, context evaporated and decision-making slowed. Sales teams repeated the same answers. Marketing couldn’t see where interest dropped off. Costs kept stacking up. The brief crystallized into one line: “Make exploration conversational, accurate, and instant—inside the app customers already use.”
A global leader in digital payments and business services set an ambitious Generative AI agenda. Payroll chatbots summarised payslips, HR teams used document-intelligence models, and risk agents flagged compliance gaps—each lived in a separate stack, creating duplicate data paths. What looked like momentum soon felt like drag. Executives spelled it out: ungoverned innovation breeds tech debt and stalls value. They partnered with Persistent to orchestrate a single runway that could scale what worked and retire what didn’t.
A global biopharmaceutical services leader, operating across 54 countries and supporting 95% of the top 200 best-selling drugs, set out to transform its enterprise data ecosystem. With a mission to accelerate drug approvals and enhance clinical research outcomes, the organization faced a complex data landscape—more than 125 fragmented sources including Oracle and FTP systems, each contributing to inconsistent reporting and siloed insights.
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