Explore huge market opportunities and potential risks, identifying generative AI use cases for immediate impact.Learn more
Tap flexible, scalable collaboration models to bolster existing teams and accelerate product roadmaps.Learn more
Prepare your data, your people, and your processes for successful AI integration and deployment.Learn more
Complete rapid-prototyping sprints to quickly deploy an MVP that propels business forward.Learn more
While speed is crucial, an intentional, strategic approach to generative AI entails identifying and prioritizing use cases most suitable for deploying across the enterprise. Organizations must use the lens of ROI to create alignment among stakeholders.
An optimal strategy engagement also means establishing responsible governance and risk mitigation strategies: providing a framework for decision-making, ensuring high ethical standards, and addressing potential risks associated with using AI.
In instances where AI has already been deployed, it's important to audit and assess existing implementations to identify successes, improvements, or potential issues, laying a solid foundation for progress and continuous improvement.
In this collaborative session (in-person or virtual), WillowTree’s multidisciplinary AI experts will:
Schedule a workshop to focus your company’s generative AI initiatives.Get in touch
With demand for data and AI talent far outstripping supply, WillowTree has assembled a world-class team, hiring less than 2% of applicants yearly. Our global practitioners have advanced degrees in statistics, machine learning, data engineering, and computer science and a track record of advancing clients’ data and AI efforts across use cases and sectors. Through our flexible staffing models, we can plug into existing teams and programs, filling gaps and swiftly moving things forward.
Before you can harness the power of artificial intelligence, it’s critical that you set the groundwork for success. We call this ‘eating your vegetables’.”
Today’s large enterprises have reams of data stored in dozens or even hundreds of physical and digital locations. Data readiness is crucial. Identifying, gathering, aggregating, and making sense of this data is a key step in training any LLM and ultimately deploying an effective AI tool.
WillowTree’s data engineering practice modernizes pipelines, architects data lakes, and brings MLOps best practices, while our parent company TELUS International’s capabilities in data collection, data annotation, and data validation ensure the necessary data is available and high-quality.
Organizational culture is one of the hardest things to change, and entrenched practices can ultimately impede progress. WillowTree’s change management experts conduct trainings to get client teams over this hump, helping them adopt the latest tools to automate rote tasks and realize massive efficiency gains.
From software design and delivery to marketing campaign execution, we map workflows and insert generative AI tools to accelerate time to value. In our own AI-driven software development lifecycle with clients, we are seeing the following productivity gains:
Quickly specify UX flows, reducing iteration cycles and driving velocity to first user test.
Massively accelerate first-draft labels, descriptions, and microcopy.
Generate For Placement Only (FPO) images, investing time saved in further UI iteration.
Translate descriptions of UI elements into code, enabling rapid prototyping and iteration.
Configure frameworks, import libraries, and set default behaviors.
Verify behaviors, catch regressions, and recommend updates.
Generative AI excels at content creation, distillation, organization and suggestion. We are partnering with clients to enhance their existing products and experiences with AI-enabled features, or build new, differentiated products that further delight users and propels their business forward.
WillowTree has recently partnered with clients to deploy AI solutions:
WillowTree is implementing AI services where inputs and outputs include proprietary development code, internal databases, calendars, and other non-text-based functions. We then take these non-text datasets and build a system of intelligent prompting and re-prompting. This is where the exciting, business-critical innovations are happening."
Data is intrinsic to building consumer credit. Just ask one of our recent clients, a renowned data analytics and consumer credit reporting firm. Via its credit monitoring system, our client informs 3.6 billion credit decisions annually, protecting 134 million consumers from fraud. The industry-leading firm asked WillowTree to modernize its entire data infrastructure by incorporating modern machine learning capabilities and best practices. In doing so, we delivered tangible and significant business outcomes.
We analyzed massive amounts of historical data to automate quantitative reports in a fraction of the time."
– Renato Vicente, WillowTree AI and Data Practices Leader
Schneider is a global leader in transformational digital energy management and automation. The firm asked WillowTree to reimagine the front-end UX of an emerging micro-grid product. In just four weeks, WillowTree created a working prototype of the redesigned dashboard, featuring data visualizations that power deeper intelligence among external users and internal business units.
Now, we’re partnering with Schneider to perform technical and user research that will inform the MVP for its forthcoming, modernized micro-grid software product.
Data is only valuable if it is actionable. Our prototype focused on the needs of Schneider's end users and applied best practices in data visualization so they could quickly and easily understand microgrid performance and take action to optimize for resilience, savings, or environmental impact."
– Susannah Derr, WillowTree Senior Analytics Architect
Sigma Squared combines leading-edge data science from Equal Opportunity Ventures with digital expertise from WillowTree. Our modern platform identifies disparity, determines root causes, and delivers personalized solutions proven to increase equity and optimize talent.
Our new GPT-enabled “Siggy” feature allows users to ask questions using natural language, run that query off an underlying database, retrieve a precise result, and share back with context and prompts. Siggy can report on the statistical significance of the results and even suggest prompts for additional inquiry, helping HR teams arrive at actionable results much more efficiently.
With rapid prototyping and model training, this Natural Language Processing (NLP) solution allowed our client to accelerate the extraction of intent and entity classifications from six weeks to two days.”
– Michael Freenor, WillowTree Principal Data Scientist
Schedule a workshop to focus your company’s generative AI initiatives.