Grounded assistants
Answer customer or staff questions from trusted content. Includes practical website chatbots when that is the right first tool.
Start with one workflow.
We build practical AI tools for the workflows that slow teams down - website chatbots, internal assistants, review tools - grounded in clear rules, trusted source material, and human review where it matters.
- Engagement
- 30-minute discovery call
- Typical first build
- Scoped, focused, in weeks
- Posture
- Honest scope, plain language
What we build
Three shapes, one narrow first step.
Most projects land in one of three shapes. Useful systems often combine them, but the first version always stays narrow.
Workflow applications
Move review, intake, routing, and approval work through a clearer process with the right amount of automation, no more.
Focused data/query tools
Turn scattered documents and structured data into bounded, repeatable answers people can trust and audit.
How we think about AI
The right system is rarely all AI.
Useful systems combine rules, retrieval, model judgment, and human review. We choose the mix that fits the workflow - and we say so plainly.
Messy inputs
- Docs
- FAQs
- Forms
- Data
- Policies
One workflow
- Rules
- Retrieval
- AI Judgment
- Human Review
Useful outputs
- Cited answer
- Issue list
- Review summary
- Export
- Decision record
How we engage
Which first step fits you?
Start with the lightest step that matches what you already know. If a focused build is clearly the right shape, we say so. If it is not, we say that too.
Capability conversation
You know the pain, not the shape.
A practical conversation about the workflow, source materials, risks, likely shape, and the most useful next step to take.
Single session
Discovery sprint
You need alignment before building.
A short sprint when the pain is real but the first useful build needs workflow mapping and source/data assessment first.
1-2 weeks
Focused first build
You know the first tool.
A scoped first build when the tool is clear: a website chatbot, internal FAQ assistant, intake helper, or simple reporting assistant.
2-6 weeks
About
A small team for practical, high-context AI work.
Warren Rocker Group is a lean, two-founder firm. Clients work directly with the people responsible for discovery, architecture, implementation, and delivery.
Technical architecture and delivery
David Warren
David Warren leads technical architecture and delivery. He brings deep experience building AI-assisted workflow automation systems for complex review, validation, retrieval, and decision-support use cases, especially in settings where workflows involve documents, rules, structured data, and human judgment. His work focuses on turning messy operational processes into structured, auditable systems that combine deterministic logic with practical use of LLMs.
In prior roles, David has worked in global health, research, and international development contexts involving complex submission review, dossier assessment, structured data validation, knowledge retrieval, and multilingual AI systems.
Discovery and stakeholder engagement
Sarah Rocker
Sarah Rocker leads discovery and stakeholder engagement. She brings public-sector program leadership experience, including work across federal program strategy, grant portfolio management, and cross-stakeholder coordination.
She helps translate client workflows, constraints, and decision processes into practical implementation plans that align technical solutions with how organizations actually evaluate, decide, and adopt.
Next step
Bring us one workflow.
Thirty minutes, no slides. We listen, ask a handful of practical questions, and tell you the shape of a useful first build - or that there is not one yet.