Custom AI Agents That Do Real Work
Not chatbots. Agents wired into your tools, running your processes.
I build AI agents that actually do work, not just answer questions. Each one is connected to your existing tools and data, runs a specific business process, and handles the repetitive stuff end to end. I design and build them hands-on, then hand them off to the people who will own them.
Who This Is For
Teams Drowning in Repetitive Work
Your people spend hours on repetitive or context-heavy tasks that follow a pattern an agent can run.
Work That Lives in Your Tools
The process runs across the systems you already use: version control, test runs, tickets, docs, and internal data.
Engineering, QA & Automation Teams
Teams that want working systems inside their environment, owned by the people who use them.
Answering Questions Is Not Doing the Work
A general-purpose assistant can tell you things. It cannot pull the failing test run, read the logs, check the code history, and tell you what broke. That takes an agent connected to your tools and data, built around the process it is supposed to run.
That is the difference this service is about: agents that take real work off your team's plate, inside your environment, with the repetitive stuff handled end to end.
What I Build
Process-Running Agents
Agents connected to your tools and data, running specific processes inside your environment.
Workflow Automation
Multi-stage agent flows that replace manual handoffs. For example: spec to code, ticket to PR, or alert to root cause.
AI-Powered Code Review
A review agent customizable per team. Pulls work items, changesets, branches, and diffs from your version control system.
Autonomous Failure Analysis
An agent that triages failed automated test runs by combining logs, video, code history, and a knowledge base to identify root causes.
Agents ship with the skills and MCP servers they need, built for the development environments your engineers already use.
How an Agent Gets Built
1. Find the Process
Sit with your team, map how the work runs today, and identify where the repetitive, context-heavy time goes.
2. Design the Agent
Define what the agent does, which tools and data it connects to, and where a person stays in the loop.
3. Build and Wire It In
Build alongside your team, wired into the tools they already use, shipped iteratively so results show up early.
4. Hand It Off
Ownership goes to your team, with internal champions trained and the system documented so it can be extended.
The measure of success is simple: your team keeps using the agent after I leave.
Where to Go Next
Rolling out AI across the whole organization?
Agents are one part of a larger program covering strategy, enablement, and implementation.
Enterprise AI TransformationWant your team to learn how agents work?
A hands-on workshop on agent architecture, multi-agent systems, and the Model Context Protocol.
Agents and MCP workshopDeciding who should build it?
An honest comparison of freelancers, agencies, and senior-led boutiques for AI and software work.
Freelancer vs. agency vs. boutiqueFrequently Asked Questions
What is a custom AI agent?
A custom AI agent is an AI system connected to your existing tools and data that runs a specific business process, not a chatbot that only answers questions. It handles the repetitive, context-heavy work inside your environment so your team does not have to.
What can custom agents connect to?
Agents are built against the tools your teams already use. Examples running today include agents that pull work items, changesets, branches, and diffs from version control for code review, and agents that combine test logs, video, code history, and a knowledge base to triage failures.
Who builds the agents?
I build them hands-on, together with the people who will use them. Working systems are handed off with documentation and internal champions trained to extend them.
How is this different from Enterprise AI Transformation?
Enterprise AI Transformation is an organization-wide rollout covering strategy plus implementation across engineering, QA, and automation teams. This service focuses on designing and building specific agents for specific processes.
Do you work remotely or on-site?
Both. RZ AI Labs is based in Haifa, Israel, and engagements run remotely or on-site worldwide.