ZetaBox designs and builds AI agents that do real work in your business: answering support requests, searching your documents, drafting bids and processing data. We are a Certified partner in the Claude Partner Network, and every agent goes into production with tests, cost limits and human review.
Discover how our solutions can transform your business
The outcomes this service brings to your business.
A proven methodology to deliver exceptional results
We review your processes, data and systems, and deliver a ranked list of use cases with a business case for each.
We build a working version on a sample of your data and measure it against the agreed test set.
We connect the agent to your systems, add permissions, logging and human review, and run a QA test run before release.
We release in stages, train your team and document how the agent works.
We track quality, cost and usage, and adjust the agent as your processes change, under our AI Monitoring and Governance service.
An AI agent is software that uses a language model to read information, decide on a next step and act through your tools. Agents work best on tasks that repeat often, follow clear rules and rely on information you already have in writing.
Good starting points:
Agents are a poor fit when the rules change every day, when there is no written source of truth, or when a wrong answer cannot be caught before it causes harm. We tell you this during the assessment, before you pay for a build.
We build on Claude, Anthropic's AI model. ZetaBox is a Certified partner in the Claude Partner Network, and ten people on our team hold Claude certifications from Anthropic. When a project needs a different model, for example to meet a data residency requirement, we say so and design for it.
ZetaBox is a Certified partner in the Claude Partner Network, Anthropic's program for firms that help companies put Claude into production. Ten people on our team hold Claude certifications from Anthropic.
Agents that reason, use your tools and act inside your workflows.
Assistants grounded in your documents and data, with answers you can trace.
Claude connected to your stack through APIs and the Model Context Protocol.
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Support automation, document search, bid drafting and demand forecasting in production.
It depends on how many systems the agent connects to, how many requests it handles and how much human review it needs. After the AI Readiness Assessment, you receive a quote for the build and an estimate of the monthly running costs for model usage and hosting.
We start with a prototype on real data, then move to a production build. The timeline depends on the scope and the number of integrations. You receive a milestone plan with dates after the assessment.
Yes, if your software has an API, a database we can access, or files it can export. We connect agents through APIs and the Model Context Protocol (MCP), an open standard for giving AI controlled access to business tools. If your system has no API, our Legacy Application Modernization service can add one.
Each agent gets only the permissions it needs, and every action is logged. We can deploy in your own Azure or AWS account. Data protection terms, including GDPR, are set out in our contract with you.
Every agent is tested against agreed cases before launch. In production, high-stakes actions need human approval, and every action is logged. When an error happens, we find the cause, fix it and add the case to the test set so it is checked from then on.
Claude is our default choice, and we are a Certified partner in the Claude Partner Network. When a project has a requirement that another model meets better, we tell you and build with that model.
Start with a fixed-scope review that ends with a ranked list of use cases and a business case for each.
Let's discuss how we can help transform your business with custom software solutions.
