How can we help you?
We bring our hard-won expertise and our years of leading successful organizations to singularly focus on providing tangible business outcomes. We succeed because our Data Scientists and expert Bloodhounds doggedly root out the opportunities your organization is missing, unlock new views and insights into your data labyrinth, and make immediate impacts that will ultimately unlock your data’s true power.
Strategic AI/ML Evaluation & Roadmap
We help you create vision, clarity, and direction for your strategic AI/ML initiatives. Make sure you are asking the right questions and solving the right problem to drive additional business value. We ensure that your data, systems, and processes are aligned for success. We help you evaluate solutions to accelerate your program.
Use Case
A national retailer wanted to create an improved sales journey that improves revenue and reduces costs by leveraging AI to create a robust dynamic pricing engine. The initiative was floundering. It lacked direction. There wasn’t even agreement as to what was being solved between the parties.
Parallaxis worked with the business, IT, and suppliers to create a vision, define the features, and build a roadmap for the solution. Parallaxis worked with sales, finance, and IT to identify the data requirements and locate the information needed. Parallaixs performed a build vs buy analysis and located a vendor with the tools needed to accelerate delivery, and then worked with all parties to drive the implementation.
Addressing Foundational Data & Process Issues
Move beyond your roadblocks by addressing the root causes in your data landscape and operational workflows. We tackle issues of poor data quality, accessibility, and inefficient manual processes that prevent you from success.
Use Case
An international Employer of Record (EOR) wanted to improve its customer response cycle time. They believed their issue was access to information around international employment law and created a ChatBot to provide their employees with faster access to information. Unfortunately, the ChatBot was not trained on the correct information. Paralaxis was brought in to improve the customer’s data mesh capabilities and response.
During a robust examination of the data, Parallaixs discovered that the real problem was long cycle times concerning invoice payments. Further analysis revealed that the information required was hidden in a vast array of Excel spreadsheets used by the employees.
Parallaxis worked with Operations, Finance, IT, and Suppliers to describe the real issues impacting cycle time and customer satisfaction. Parallaxis worked with Operations to find and implement solutions to manual processes. Created roadmaps and worked with IT to enhance existing systems to provide the data and features required by Operations, Finance, and their Customers.
Sustainable AI Implementation
You’ve already started your AI journey. You have invested in tools. But it's not delivering results. The business is mad. Your users are revolting. We create solutions built for the long term, designed to integrate seamlessly, and deliver continuous improvement. We focus on robust and sustainable solutions that can evolve with your business.
Use Case
A large, well-established retailer was having customer service problems. Years of siloed point solutions were hampering its ability to provide its customers and its staff with timely information about their products, orders, accounts, everything. Operational systems were not aligned to customer journeys, forcing staff to use multiple disparate systems to answer what should be a simple query (or even just a customer self-service option). This also created multiple instances of the same customer, preventing the retailer from having a holistic view of what their customers were purchasing.
They had all the tech they needed, what they hadn’t done was all the hard work to break through the silos they had created. By taking a customer’s view of their operations, they began to restructure their information flows in a way that answered typical customer queries. They had to change outdated batch-style processing so that information was up to date when it was needed. They had to reach into third-party integrations to correlate process flow updates. By refocusing on creating the right integrations instead of siloed domains, they were able to provide their customers and their employees with the information they wanted.
AI for Developer Productivity
Your software engineering teams are using AI generated code. You don’t have any idea what security threats or vulnerabilities that is exposing your organization to. That code also isn’t following your guidelines, guardrails, patterns or best practices. Your technical debt is increasing, even if you are not aware.
Use Case
We bring back sanity by working side-by-side with your teams (development, operations, etc…), creating rules based on decades of our development and delivery experience. These rules are coupled with your AI code generation to instill security, best practices and consistent patterns no matter what level of experience your engineering team is at.
Let’s talk
Share your ideas, questions, or challenges—we’d love to hear from you and explore how we can help.