/ case study

From Presentation Tool to Global
AI-Powered CLM Platform

From 2014 to the present

Shaman is the leading sales content platform for Veeva with eDetailing, Email, Omni-channel, and Sales Execution capabilities through a no-code, DIY experience.

Shaman helps Life Science companies create client-focused content, get more people using Veeva, and make their omnichannel performance better.
Certified as a Veeva Product, Content, and AI Partner, Shaman helps create, manage, and distribute sales content while measuring its effectiveness for optimisation. Content delivery works offline, in web meetings, and via email.

How we started to work

Dedicated Teams Begin the Journey

Shaman launched in 2014 with a vision to change the way clients engaged with interactive iPad presentations. WLTech.AI (WebLab Technology) immediately formed a dedicated team to develop the app, partnering with a Dubai-based agency linked to Emaar. This collaboration set the stage for Shaman's future as a flexible and expandable platform.

2014
2015
Building the Foundation

WLTech.AI's team laid the backend infrastructure for Shaman's presentation tool, targeting financial and pharmaceutical clients in the Netherlands. The platform was designed to be flexible so it could adapt as the company grew.

Scaling and Cloud MigrationIn

In 2016, WLTech.AI (WebLab Technology) moved Shaman's platform to AWS, which brought in a three-layer architecture for better reliability. These improvements made it super popular with clients in banking and pharmaceuticals, and really helped to cement Shaman as a key digital presentation tool.

2016–2018
2019
Global Expansion

WLTech.AI (WebLab Technology) helped Shaman scale beyond Europe, reaching clients across North America, Asia, and Australia. The platform’s growing reputation attracted new industries, and integration with Veeva Systems strengthened its position in the pharmaceutical sector.

Resilience and Growth

During the pandemic, WLTech.AI helped Shaman grow really fast by increasing their operations. Cloud infrastructure was optimized to meet increasing demand, improving performance, and consistency. These improvements allowed Shaman to continue expanding despite global challenges.

2020–2021
2021–2022
AI Integration

With 20 engineers on board, WLTech.AI (WebLab Technology) integrated AI solutions to strengthen Shaman’s platform. New features like the Email Template and Translation Modules made international communication easier and improved how users worked.

Scaling AI for a Global CLM Platform

Today, a dedicated team of 40 engineers from WLTech.AI (WebLab Technology) is working to expand AI solutions within Shaman. The platform has become a global AI-powered CLM tool, serving clients across Europe, Asia, USA, and Australia.

2022-present

/ development journey_

WLTech.AI (WebLab Technology) transformed Shaman into a scalable, cloud-based platform, moving it to AWS to support fast growth. Working with Veeva Systems and Salesforce introduced some great new features, making workflows easier and helping us scale up. These integrations were really important in helping Shaman grow during the pandemic, giving our teams more capacity and helping our business perform better.
By integrating AWS, we were able to cut operational costs and speed up processing. On top of that, the Salesforce integration made it easier for us to manage customer data, which helped our team to provide personalized services more quickly.

/ business challenges_

Managing Large-Scale Functionality

Handling enterprise-level functionality meant building strong teams to deliver complex features quickly. Our approach was to create specialized dedicated teams that maintained business continuity and high output, even when facing big challenges.

Staying Flexible When Things Change Quickly

Working with enterprises meant we had to be able to make big changes while staying flexible. We came up with a way of developing Shaman platform that meant it could quickly adapt to what the clients needed without losing stability or performance.

Getting Bigger Quickly Without Losing Quality

The need to grow quickly meant we had to find ways to hire skilled engineers without compromising quality. We came up with some creative hiring strategies and built teams that could handle the extra demand while keeping up the high standards of engineering excellence Shaman required.

Differentiation Through AI

To stay above the competition, Shaman needed unique, AI-driven features. We led the development of AI-powered products like the Email Template Module and Subject Line Generator, creating innovative tools that made the platform stand out and added significant value for enterprises worldwide.

/ solution_

WLTech.AI (WebLab Technology) has a long-standing relationship with Shaman, which has seen continuous innovation, particularly in the field of AI. Since 2019, the following key AI features have been introduced:
01

Slide Translation Chains

/ Our approach utilizes real-time PDF extraction, combined with OCR, computer vision segmentation, and a translation chain. This enhances organization and accessibility for pharmaceutical companies' customer-facing data, saving valuable time and resources.
02

Email Subject Line Generator

/ We have developed a model capable of taking email content and user queries as input, resulting in its ability to suggest email subject lines with a high level of conversion.
03

AI Email Template Generation Agent

/ We have developed a GPT-4 prompt-based agent that operates on a query-based principle. It takes multiple inputs, extracts product-related context, and delivers a relevant result.
04

Context Aware Search (Semantic Search)

/ The search database now possesses information about both documents and their embedding vector representations. This enables effective consideration of context and facilitates efficient searching within media content.
05

AI Tagging

/ We utilize an Image-to-Text transformation model, coupled with a LLM, to extract tags and integrate vector search functionality.
01

Slide Translation Chains

/ Our approach utilizes real-time PDF extraction, combined with OCR, computer vision segmentation, and a translation chain. This enhances organization and accessibility for pharmaceutical companies' customer-facing data, saving valuable time and resources.
02

Email Subject Line
Generator

/ We have developed a model capable of taking email content and user queries as input, resulting in its ability to suggest email subject lines with a high level of conversion.
03

AI Email Template
Generation Agent

/ We have developed a GPT-4 prompt-based agent that operates on a query-based principle. It takes multiple inputs, extracts product-related context, and delivers a relevant result.
04

Context Aware Search
(Semantic Search)

/ The search database now possesses information about both documents and their embedding vector representations. This enables effective consideration of context and facilitates efficient searching within media content.
05

AI Tagging

/ We utilize an Image-to-Text transformation model, coupled with a LLM, to extract tags and integrate vector search functionality.

Led by WLTech.AI’s Solution Architect, the team started with 7 engineers in 2014 and scaled to 40 by 2024.

Our global dedicated teams now can support: R&D Development, CLM Advancements, AI Module Integration. With Veeva Technical and AI Partner certifications, our engineers are pushing the boundaries and making sure Shaman's platform is always at the top of its game in the competitive CLM landscape.

/ results_

Over our years of cooperation with Shaman, we have achieved certain successes that have shaped our work together. Some of our proudest achievements include:
Scaled the team to 36+ engineers, facilitating continuous development across multiple modules.
Implemented Scrum and Scrum of Scrums, to maintain consistency and motivation across our 7 dedicated teams.
Developed a strategy for advanced quality control (a vital concept in the B2E sector due its demand for stability) and 99.9%+ uptime.
Achieved a high-level of infrastructure automation and quality control.
Obtained SOC2 Type 2 certification, certifying the highest standards of data security and trustworthiness.
Achieved top scores on the AWS Well-Architected Framework methodology.
Supported the Veeva Technical Partnership Certification process.
Implemented integration with various third-party platforms, including Salesforce.
Complete automation of processes
AI has allowed us to optimize processes and boost turnover.
Scalability: The business could scale to any number of regions.
Increased customer satisfaction and loyalty thanks to reliable delivery services, high-quality meals, and personalized menu options.
Expanded market presence and brand recognition.
Positive impact on customers' health and fitness goals, as evidenced by testimonials and success stories from satisfied customers.
Scaled the team to 36+ engineers, facilitating continuous development across multiple modules
Implemented Scrum and Scrum of Scrums, to maintain consistency and motivation across our 7 dedicated teams
Developed a strategy for advanced quality control (a vital concept in the B2E sector due its demand for stability) and 99.9%+ uptime
Achieved a high-level of infrastructure automation and quality control
Obtained SOC2 Type 2 certification, certifying the highest standards of data security and trustworthiness
Achieved top scores on the AWS Well-Architected Framework methodology
Supported the Veeva Technical Partnership Certification process
Implemented integration with various third-party platforms, including Salesforce