Agents and digital workers
Gather approved information, prepare outputs and carry out defined actions. Decide which steps can run automatically and which require review.
Build useful tools
Agents, automations, and small applications for your team.
RUDI builds AI agents, workflow automations, and internal applications around a specific job. Work with us to define the task, test a useful version, and establish how your team will review and operate it.
Built around a specific job
Give your team a tool that fits its work.
Workflow automations
Connect repeatable steps such as routing a request, updating a record or preparing a scheduled report. Make exceptions visible to the person responsible.
Small internal applications
Build a focused interface for intake, document checking, reporting or approvals. Give people a clear way to complete the task and review its results.
A working RUDI example
RUDI Daily connects a recurring process to a useful application.
Our editorial digital worker gathers AI news and prepares editions for a public publication and archive. Readers can browse the results and follow the original sources.
This is one example of the software around a recurring task: collection, preparation, publication and a place for people to use the output.
See how RUDI Daily works ↗
A workflow demonstrated in public
From company research to marketing materials.
AfroTech documented a live workshop in which RUDI founder Brandon Z. Hoff used Claude Cowork to research a company, examine its website, and prepare brand guidelines and marketing materials.
The session showed how instructions, source information, connected tools, and checks fit into a repeatable workflow. It was a workshop demonstration; a production build also needs testing against the organization’s data, permissions, and operating requirements.
Read AfroTech’s account of the demonstration ↗From a task to a working tool
Define the job, then build and test it.
Scope the job
Agree on users, inputs, outputs, connected systems and what success means. Identify access requirements before setting the delivery plan.
Build with the team
Build a version your team can try on representative inputs. Review the outputs together, record what works and what fails, and use those findings to decide what needs to change.
Check the results
Evaluate output quality, errors, permissions, and exceptions using RESPECT. Give the human owner a way to review, correct, and pause the work, and disclose where AI is involved.
Hand over or keep supporting it
Document how to run the tool, review its output, handle exceptions, and pause it. Name the person responsible and agree on maintenance or managed operation before handover.
Planning a build
Questions to settle before development.
Can this work with the AI tools we already use?
We start with your existing tools, approved information sources, and access rules. Some tasks fit within a configured AI workspace; others need an integration or a small application. We check the platform’s capabilities and permissions before proposing a build. Explore the platforms RUDI supports.
What determines the scope, timeline, and cost?
The recurring task, its inputs and outputs, the systems involved, and the review requirements determine the work. Describe one process and what a useful result looks like. We agree on a scope, acceptance criteria, schedule, and fee before development begins.
Who operates the tool after it is built?
We agree on ownership, operating instructions, and support as part of the engagement. Your team may operate the tool, or RUDI can provide ongoing managed operation. Continued monitoring, changes, and support are scoped explicitly.
Still deciding what to build?
Start with a department workflow engagement to map the process and test where AI can help.
Build useful tools
Tell us what the tool needs to help people do.
Describe one recurring task, the tools involved, and the output your team needs. We’ll discuss what is feasible, where human review belongs, and a useful first version.