Business leaders know AI is powerful and competitors are using it.
But AI is evolving at blazing speed, with many known and unknown risks.
How do executives and Board members identify generative AI use cases for immediate impact?
WillowTree is your partner in deliberately navigating the murky AI landscape to identify impactful use cases that drive efficiency gains.
In our 3-day workshop (in-person or virtual), WillowTree’s multidisciplinary AI experts will:
Schedule a workshop to focus your company’s generative AI initiatives.
WillowTree and our parent company TELUS International have built and implemented AI & ML solutions for client-partners since 2017.
Augmenting search, auto-response, recommendations engines, and chatbot capabilities.
Summarizing and explaining complex topics.
Drafting personalized ad, email, blog, social media, and web copy.
Managing tasks, schedules, and multimodal speech-to-text conversion.
Drafting contracts, MSAs, and other parameter-specific documents.
Invoicing, order tracking, analyzing purchases, and optimizing inventory.
Generative AI tools enable WillowTree designers to quickly specify UX flows, reducing iteration cycles and driving velocity to the first user test.
For content-heavy designs, tools like ChatGPT can massively accelerate first-draft content like labels, descriptions, and microcopy.
WillowTree designers use precisely engineered prompts through tools like MidJourney to arrive at For Placement Only (FPO) images, investing the time saved in further UI iteration for improved product outcomes.
WillowTree engineers use ChatGPT to translate descriptions of user interface elements into code, enabling rapid prototyping and iteration of ideas toward improved user experiences.
Up to 50% of any large application may consist of ‘boilerplate’ code configuring underlying frameworks, importing external libraries, or setting default behaviors. ChatGPT and GitHub Copilot can generate this through iterative prompt engineering, jumpstarting engineers to add custom features and interface elements.
WillowTree engineers build suites of unit and feature tests to verify application behavior and catch regressions as we add new features. GitHub Copilot can generate these suites based on application code and recommend updates as the application evolves.
GPT is trained on billions of parameters, but much of this data is text-based. Businesses and individuals use it primarily to find, translate, summarize, and complete text-based outputs.
WillowTree is implementing AI services where the inputs and outputs for this system include proprietary development code, internal databases, calendars, and other non-text-based functions. We can then take these non-text datasets and build a system of intelligent prompting and re-prompting, fine-tuning the model where necessary. This is where the exciting, business-critical innovations are happening.
For instance…
We condensed a six-week project into two days."
Michael Freenor
WillowTree Principal Data Scientist
"We created a smart database interface for HR professionals skilled in DEI but not necessarily in data analysis or engineering. They can ask, 'What's the gender pay gap at my company?’ Our product translates this natural language prompt into data sets like SQL databases and then responds in plain English. 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 into two days."
Learn more about how Michael’s team increased digital velocity for Sigma Squared by translating database dialects into natural language and bootstrapping a data set for a classifier.
We reduced a 3-minute long survey into a 10-second interaction."
Chelsea Taylor
WillowTree Product Scientist
"We built an AI tool that efficiently matches investors with financial services advisors based on various parameters like age, race, geography, assets, goals, and personality types. Our client reduced a 3-minute-long survey into a 10-second interaction that provides the same optimized matching results. When prospects seek a financial advisor, our proprietary matching algorithm and AI-driven interface provide a more efficient and delightful customer experience."
Learn more about how Chelsea’s team is optimizing the prospect funnel for a leading financial services firm by removing friction and improving customer experience.
We analyzed massive amounts of historical data to automate quantitative reports in a fraction of the time."
Renato Vicente
Data Practices Leader, WillowTree
"For one of our clients focused on agribusiness credit risk, our GPT model ingests and analyzes thousands of documents based on collaboratively defined ESG (environmental, sustainability, governance) parameters such as regulatory compliance, risk assessment, and demographics. The tool outputs quantitative scores and custom dashboard visualizations of data insights in a fraction of the time. Our client can make better, faster decisions to identify ideal and high-risk partners."
Learn more about how Renato’s team is using GPT to analyze massive amounts of historical data and automate quantitative reports related to ESG risks.
Data privacy is a precious commodity that presents an even greater set of high-risk challenges when working with ML and AI services. If you’ve used the free, public version of ChatGPT, for instance, you are explicitly sharing your data with OpenAI, which they can then use to train their models.
With industries like financial services and healthcare, we help avoid the potential life-changing implications of inaccurate AI-generated information. Companies that rush public-facing AI tools to market in these industries risk consumers expecting an imperfect tool to perfectly diagnose illnesses or predict investment wins. Still, numerous AI use cases in these industries can and should be explored.
Choosing responsible and secure business uses for artificial intelligence is a challenging landscape to navigate, with the potential to do great harm. We partner with you to ensure your project incorporates these considerations in line with your company’s goals. GPT can be a powerful translator while relying heavily on complementary systems and humans.
Schedule a workshop to focus your company’s generative AI initiatives.
