We build custom AI applications and agentic workflows that connect your systems, reduce manual work, and help your team move operations forward.
%20centered.png)
Extract details from orders, emails, and documents. Check the information against your systems and prepare a draft for review.
Let employees search approved company knowledge, compare source material, and get answers with references they can check.
Give an agent a focused role: investigate a support request, assemble a project packet, or route an exception to its owner.
Moving from traditional ops to agentic AI ops?
Explore four workflow examples and a practical 90-day pilot plan.
Our track record across software projects
Our AI development work builds on a foundation of custom software engineering. We bring that same focus on reliable delivery, close collaboration, and practical business needs to AI applications and agentic workflows.
A+ Accredited Business
Amit Kukreja
CEO, Audio Idea Labs Inc.
Nigel Kurtz
Partner, ClaytonWolf Consulting
Scott Sperry
Assistant VP of Operations Strategy, LPL Financial
Jonathan McKinney
Head of Technology, Juno Diagnostics
Sara Rokicki
President, Type League Press, LLC
.svg){kind=icon}
Start with the work you want to improve. These are the questions that help shape the right solution.
BNMA develops custom AI applications, agentic workflows, generative AI tools, and knowledge search connected to business data. We also build the integrations and software around them, with discovery, evaluation, and rollout tailored to the workflow.
A chatbot primarily responds to a conversation. An agentic system can gather context, choose a next step, and use approved tools to advance a task. We define the agent’s scope, permissions, and approval rules so the business stays in control.
Often, yes. We assess supported APIs, data quality, access permissions, and the actions each system allows. The goal is to connect AI to authoritative records and existing workflows, with validation and a clear path for exceptions.
Start with a frequent workflow that has accessible data, a clear owner, and a result you can measure. We assess whether AI, an agent, or conventional automation fits the task, then define a focused pilot and the criteria for expanding it.
