ChatGPT & prompting
A person writes a task and AI answers in a chat. Useful for ideas, text, research and single analyses, but not yet connected to the company's systems.
Software · Automation · AI
AI agents for real work.
CODIKI builds productive AI agents, integrations and automation solutions for companies that want processes to run reliably, not just look impressive in a demo.
agent.run({
input: "order inbox",
tools: ["mail", "crm", "erp"],
approval: "human"
})Evolution
From chat to working AI.
Many companies start with ChatGPT and prompting. That is useful, but it is still a single chat. CODIKI takes the next steps: structured AI workflows first, then specialized AI agents with the right tools.
AI workflows
Existing workflows are extended with AI: n8n, APIs, data sources, approvals and notifications connect classic automation with AI support.
AI agents
Specialized agents perform concrete work with tools, rules, memory, interfaces and human control wherever responsibility matters.
Services
Automation that works in production.
The focus is pragmatic: clear data flows, controlled permissions, traceable approvals and software that can be maintained.
AI agents & OpenClaw workflows
Custom agents for concrete tasks: research, pre-analysis, code work, tickets, documentation, inbox triage or internal workflows. With suitable tools, skills, memory and clear human approvals.
Software development
Custom web applications, internal tools and maintainable backend systems.
Interfaces & integration
APIs, data flows and middleware between CRM, shop, ERP, website and specialist systems.
Process automation
From manual work to robust automation with measurable value.
Operations & stabilization
Deployments, monitoring, diagnostics and technical maintenance for existing systems.
Examples
Concrete agents instead of abstract AI consulting.
CODIKI does not build isolated chatbots. An agent gets exactly the tools its use case needs: email, files, calendars, CRM, shop, ERP, GitHub, browser access or internal APIs.
Request agent
Reads incoming requests, identifies topic and priority, collects missing information and drafts a response for approval.
Support agent
Connects tickets, documentation and system data, proposes next steps and escalates cleanly when a human needs to decide.
Data-checking agent
Reviews lists, orders or master data for anomalies and starts correction workflows without silently changing production data.
Development agent
Supports repositories, issues, pull requests and documentation as a controlled technical teammate in the workflow.
Method
Understand first. Then automate.
Clarify the process
Which work costs time, where is the data, which decision requires responsibility?
Design the agent
Tools, permissions, data access, control points and fallbacks are defined deliberately.
Put it into production
The solution is built, tested, documented and brought into operation with control.
No AI demo for the wow effect. CODIKI builds automation that works in real teams, real systems and real responsibilities.
Blog
Notes from practice.
Thoughts on AI workflows, agents, OpenClaw, n8n and the question of how automation becomes reliable in everyday operations.
Why AI workflows are more than prompts
A good workflow connects context, tools, approvals and clear error paths. That is how AI becomes part of a usable work process.
AI agents in production: start small, grow cleanly
Productive agents need limited tasks, traceable decisions and a clear handover point to humans.
Open blog
Thoughts on AI workflows, agents, OpenClaw, n8n and the question of how automation becomes reliable in everyday operations.
Contact
Let's examine one concrete workflow.
Briefly describe which process costs time or where AI agents could help. CODIKI will respond with a realistic technical assessment.
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