Practical AI workflow systems built around the Claude API and the tools you already use. The goal is simple: reduce repetitive work, route information better, and keep a human in control where it matters.
We map the agent roles, tool access, context, decision points, and escalation paths before anything is built.
Prompt design, tool configuration, response handling, and guardrails written for the real workflow.
Map repetitive steps and turn the right parts into assisted workflows that can run consistently.
Build systems where specialised agents can research, draft, review, or prepare work before a human approves the important parts.
Workflows that read from databases, call external APIs, and store structured outputs where your team can use them.
Logs, error handling, decision notes, and alerts so you can see what the workflow is doing.
Complete technical documentation so you or your team can maintain, extend, or modify the system after delivery.
We stay on hand after deployment to fix issues, tune prompts, and handle edge cases in production.
A workflow that tracks topics, prepares blog drafts, and queues content for review before publishing.
A workflow that reads incoming enquiries, organises the details, drafts a reply, and logs the contact in your CRM.
A workflow that runs tests, groups failures, drafts bug reports, and notifies the right person.
A workflow that turns a project brief into a first proposal draft with scope, timeline, and cost notes for review.
A workflow that researches a topic, organises sources, and prepares a structured report for checking.
A workflow that turns new blog content into platform-specific drafts and keeps basic performance notes.
We document every step of the process you want to automate. Inputs, decisions, outputs, edge cases, and failure modes.
We design the agent architecture and write the system prompts, tool definitions, and decision logic.
We code the agent pipeline, connect external APIs and databases, and build the monitoring layer.
We run the agent against real inputs, handle edge cases, tune prompts, and verify reliability before handover.
Full source code, technical documentation, and a live walkthrough so your team can own and extend the system.
We will map it, decide what should be automated, and build a workflow your team can understand and manage.