Rottawhite — AI Systems Studio

AI agent development and workflow automation

Agents that take real actions in your systems — not chatbots that summarise a document and stop.

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When this is the right call

You are probably here because

  • Your team repeats the same multi-step process dozens of times a week, and every step is a place to lose information.
  • You have tried a general-purpose assistant, but it does not know your data, cannot touch your systems, and nobody trusts its output.
  • A proof of concept impressed everyone in a demo and then never reached production, because nothing handled errors, permissions, or cost.

What we build

AI Agents & Automation, concretely

Tool-using agents

Agents that read from and write to your actual systems — CRM, ERP, ticketing, email — with explicit permissions and an audit trail of every action taken.

RAG over your own knowledge

Retrieval pipelines grounded in your documents, with citations back to the source so an answer can always be checked rather than trusted blindly.

Automation pipelines

Long-running workflows with retries, human approval steps where they matter, and monitoring so a silent failure does not go unnoticed for a week.

Evaluation and guardrails

Test sets that catch regressions when a prompt or model changes, plus cost and latency budgets enforced in code rather than hoped for.

Typical stack

LangChain / LangGraphClaude APIOpenAIVector databasesn8n / MakePythonTypeScript

Good fit

This works best when

  • A process with clear inputs and outputs that people run repeatedly
  • Domain knowledge that lives in documents rather than in a database
  • An existing system the agent must integrate with, not replace

We take on 4-6 clients at a time and turn down work outside our expertise. If this is not the right fit we will say so on the call rather than after the invoice.

Common questions

How long does an AI agent take to build?

A focused agent handling one workflow typically ships in 4 to 8 weeks. We usually start with a two-week sprint that produces a working prototype of the highest-impact use case, so you can judge the approach before committing to the full build.

What does AI agent development cost?

Most agent projects land between $15,000 and $60,000 depending on how many systems it integrates with and how much evaluation work the domain demands. Our cost calculator gives a ballpark in about two minutes.

Which model do you build on?

Whichever fits the task and budget. We build against Claude and OpenAI models most often, and we keep the model behind an interface so switching does not mean rewriting the system.

Who owns the code?

You do. Full intellectual property transfers to you on final payment, including prompts, evaluation sets, and infrastructure definitions.