Agents that plan, act and finish the job.
Not a chatbot with a plugin. Agents that take a goal, break it into steps, call your systems through tools, verify the result and hand off when they are unsure. Single agents for one workflow, multi-agent systems for work that needs a planner, workers and a checker.
Zingaro AI designs and builds agentic AI systems: autonomous and multi-agent architectures with tool use, MCP integrations, computer-use and browser agents, memory, evaluation and human-in-the-loop controls, deployed into the client’s own environment.
You get
- Agents running against your systems in production
- Tool integrations with permissions and audit logs
- An evaluation suite built from your cases
- Runbooks, and the option to take it in-house
Built with
- Tool use and MCP
- Computer-use agents
- Multi-agent orchestration
- Long-term memory
- Agent evals
Agentic AI development, end to end.
Agent architecture
Planner, worker and checker roles, memory, state and recovery designed for the job, not copied from a demo.
Tool use and MCP integrations
Your CRM, ERP, ticketing, databases and internal APIs exposed as tools, with permissions and audit on every call.
Computer-use and browser agents
For systems with no API: agents that read screens and operate software the way a person would.
Multi-agent orchestration
Parallel workers, hand-offs and a supervisor, with hard limits on what any agent may do alone.
Evaluation harnesses
Task suites from your real cases, run before every change, with pass rates you can see.
Human-in-the-loop
Confidence thresholds, review queues and escalation so people see only what needs a person.
From one painful job to a system in production.
Models and agents handle the volume. People handle the edges. You always know which did what.
- 01
Discover.
One or two weeks with your team. The jobs listed, sized and ranked. A number on the first one.
- 02
Build the pilot.
Fixed scope, fixed fee, 4 to 6 weeks. Real output on your real data, measured against the number.
- 03
Ship it.
Into production, inside your boundary if the rules require, with evals gating every release.
- 04
Run it, or hand it over.
We operate it with people on the queue and a weekly report, or your team takes it with the runbooks.
Your data does not have to leave the building.
On your servers
Air-gapped where required.
We install on machines you own, inside your network. Where the rules demand it, the system runs with no outbound connection and updates are carried in by hand. Your team keeps the keys.
Data stays inside your network
Your private cloud
We deploy into your account.
We deploy into your own cloud account, in your region, under your access controls. The data stays in your account. We get the access you grant, and nothing more.
Data stays inside your account
Ours
Managed, fastest to start.
We run it on infrastructure we operate. The right choice when the data is allowed to leave and you want the pilot running this month.
Managed by us, on our terms
In banking, insurance and healthcare, the rules decide where the data sits. We built for that first.
How each option worksWhat comes back, and how we measure it.
Deliverables
- Agents running against your systems in production
- Tool integrations with permissions and audit logs
- An evaluation suite built from your cases
- Runbooks, and the option to take it in-house
Measured by
- Tasks completed end to end
- Hand-offs to a person
- Tool-call errors caught
- Cost per completed task
Real figures come from your pilot. We do not publish invented ones.
What people ask about agents.
Which models do the agents run on?
Whichever fits the job and the rules: frontier hosted models where data may leave, open-weight models on your hardware where it may not. Often both, routed by task.
How do you stop an agent doing something stupid?
Permissions on every tool, hard limits on irreversible actions, a checker agent, and a person in the loop for anything below the confidence bar. All of it logged.
Can agents work in software with no API?
Yes. Computer-use agents operate the screen. Slower than an API, but it works, and it is often the only way into legacy systems.
Bring us the agents job you keep postponing.
Twenty minutes is enough to say whether we can take it.
A pilot starts within 5 working days of agreed scope · Nothing upfront · No seat licences