Write the test first.
Before we build, you approve the cases and the pass bar. The build is finished when the test passes, not when we say it is.
Company
Agents are software. We build them that way.
Nijora designs and deploys AI agents for the operational work between business systems. One rule runs through all of it: an agent is trusted only as far as it has been tested.
01 Mission
Take the lookups, re-keying, and chasing out of operations, so people spend their time on decisions. We do it with AI agents a business can sign off on: tested before they act, readable in every run, stoppable at any moment, and owned by the company that depends on them.
02 Principles
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Design the stop before the start.
We decide where an agent must pause before we decide what it automates. The exception path gets designed first, because that's where the risk lives.
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Rules in code, judgment in models.
Deterministic logic stays deterministic. Models handle what rules can't: reading messy documents, working out intent, drafting text.
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Narrowest access that works.
Agents get the minimum permission for each action, granted by you, logged, and revocable.
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Stop, don't guess.
A question routed to a person costs minutes. A confident wrong write to your ledger costs far more.
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Leave nothing to rent.
Everything we build lives in your cloud and your repositories, documented well enough to run without us.
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01. The model is the easy part.
A demo needs a prompt and an API key. An agent that posts to your ledger needs scoped credentials, rules in code, tests on every change, a record your engineers can read, and a tested way back. That engineering is the work we do.
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02. Autonomy is earned, not configured.
An agent should watch before it suggests, and suggest before it acts. Autonomy is a grant you widen on evidence and can take back in one step, not a setting you switch on at install.
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03. Agents are software, not staff.
We don't give them names or job titles. We give them tests, versions, permissions, and an owner.
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04. The exception is the job.
Any system can handle the clean case. What matters is what an agent does with the odd invoice, the angry customer, and the request that fits no template, and whether it knows to hand it over.
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05. Maintenance is part of the product.
Models, APIs, and policies change. An agent without tests that re-run on every change is a liability with a launch date.
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06. Small and proven beats big and promised.
A sprawling AI program produces slide decks. One workflow, done properly, produces evidence, and evidence is what earns the next one.
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07. Freed-up capacity is yours to spend.
When an agent takes steps out of a workflow, you decide what the time goes to: absorbing growth, clearing the backlog, or moving people to harder work.
04 Careers
We want to hear from engineers who like the unglamorous parts (test sets, permission maps, run logs, and handover notes) and from operations people who know where the work really piles up. Tell us what you've built: use the contact form and choose Careers.
05 Start
Bring us the workflow with the longest queue.
We'll map it with your team, tell you plainly whether an agent should run it, and show you the test we'd hold it to.
Start a project