Development / Beep Boop Technologies
Put AI into a working system.
Build an AI feature or workflow around a specific task. Beep Boop Technologies connects models to the data, tools, evaluation, and human review needed to make the result useful in practice.
Discuss an AI buildNew projects. Existing systems. Useful next steps.
AI applications & automation
An AI system includes the workflow around its output. We can scope the application, data connections, evaluation, and operational behavior together.
Extract, classify, or summarize information from documents and messages. Turn results into a defined format, check required fields, and route uncertain or exceptional cases for review.
A useful first scope: One document workflow, from intake through reviewed output to the system that needs it.
Build search or assistant experiences connected to relevant source material. Account for who can access each source, how answers reference it, and what happens when the information is insufficient.
A useful first scope: A bounded knowledge tool or product feature with representative evaluation cases and clear limits.
Connect AI to specific tools and actions within a defined process. Design permissions, approval points, action records, and recovery behavior alongside the automated steps.
A useful first scope: A controlled workflow with agreed actions, human handoffs, and tests for failed or incomplete steps.
Example projects
These are possible starting points for a custom AI project. Each needs evaluation against the information and conditions it will encounter.
Identify document types, extract fields, and send exceptions to a person before passing approved records into a business system.
Help staff find relevant knowledge and prepare responses, with source references and a path to escalate questions it cannot answer.
Add a task-specific assistant or information-processing feature to an application, connected to its existing users and permissions.
Connect an early demo to real data and workflows, then address evaluation, errors, operating costs, and the surrounding application.
Planning the build
Agree on representative tasks, acceptable results, and important failure cases. Evaluate quality alongside response time and usage cost. The review process should reflect the consequences of incorrect output.
AI consulting can help assess feasibility and choose an approach. Data processing and integration work can establish the information flow the AI application depends on.
Working together
Start with what the project needs to accomplish and the systems it must fit. Shape the build around a result you can put to use.
Scope, cost, and timing depend on the workflows, integrations, existing code, data, and delivery requirements. You can bring an established brief or start with software consulting or AI consulting. Focused consulting, ongoing advisory, and embedded technical leadership are all available; none is a required starting point.
Let’s talk
Tell us what you want to achieve, what you use today, and where you need help. An initial outline is enough to start the conversation.
Discuss your project