AI Development
Custom AI Solutions Designed Around Your Work
Off-the-shelf AI products can be useful, but they do not always fit an organization's information, workflows, policies, or users. We develop prototypes and custom AI solutions designed around specific organizational needs.
Development Services
Solutions built around your data and users
Internal Knowledge Assistants
Help employees locate and understand information contained in organizational policies, manuals, procedures, reports, and other approved documents.
Custom Chatbots
Create conversational tools that answer questions, guide users to resources, or support a specific organizational process.
Document Processing
Extract, organize, categorize, summarize, or compare information contained in large collections of documents.
Research Tools
Develop tools that support literature discovery, evidence organization, qualitative analysis, document review, and research communication.
AI-Enabled Educational Tools
Create learning assistants, instructional resources, practice activities, faculty tools, or other educational applications.
Reporting and Data Workflows
Use AI and automation to support recurring reports, information synthesis, data interpretation, and communication.
Proof-of-Concept Applications
Develop a limited prototype that allows an organization to test an idea before committing to a larger implementation.
Our Development Process
A structured path from idea to implementation
- 1
Discover
We learn about the problem, users, current workflow, organizational requirements, and desired outcome.
- 2
Define
We identify the application's purpose, boundaries, information sources, privacy requirements, and success measures.
- 3
Design
We create an initial workflow, interface, or prototype for review.
- 4
Test
Potential users interact with the solution and provide feedback.
- 5
Refine
We improve the application based on user feedback, technical performance, and organizational requirements.
- 6
Implement
We support deployment, documentation, employee training, and evaluation.
Human-Centered and Responsible
Custom AI development requires more than connecting an organization to an AI model. We consider the people who will use the system, the sensitivity of the information involved, the consequences of errors, and the need for appropriate human review.