AI Agent Development Company
Sentia is an AI agent development company in Sydney, building software since 2006. Our agents check, decide and act inside the limits you set, and hand over to a person when they should.
entwickeln mit Sentia
An agent is only as good as its limits.
A clear job.
Every agent we build has a defined task, the tools it may use and the data it may see. Nothing more, so its behaviour stays predictable.
Checks before it acts.
Before an agent approves, updates or sends anything, it verifies the information against live records. Every action is logged for review.
Knows when to stop.
When a case falls outside its rules or the agent isn't sure, it stops and hands over to a person with everything they need to decide.
AI agent development services, from one job to a whole system
Four ways we put agents to work. Each one connects to the systems you already run and works inside the limits you set.
Each case matched to a rule, then approved, reviewed or rejected.
Agents that take one routine job off your team.
Some jobs follow the same steps every time, like checking a claim, verifying a record or approving the routine cases. A task agent does that one job from start to finish, inside the rules you set.
See our workApproves the routine cases using the rules your team already follows.
Confirms the details in your system of record before it acts on them.
Each decision is saved with its reason, so anyone can see why.
Runs when a new case arrives or at a set time, so work never queues up.
An invoice read and checked before it moves to the next system.
Agents that carry work across your systems.
Real work rarely lives in one tool. A workflow agent reads from one system, acts in another and updates a third, following the same process your team uses today, so nobody has to copy data between screens.
See our workRuns a process from the first step to the last, across every tool involved.
Uses your APIs, with only the access each step needs. Explore API integration
Reads incoming documents and passes on checked data. Explore document AI
If a system is down, the agent waits and retries instead of losing the work.
Results from every agent in one view, rated by confidence.
Several agents, coordinated as one system.
Bigger operations need more than one agent. We build the engine that lets agents share out the work, pass tasks between them and act across your data, systems and teams. It's the kind of engine we build for Decidr's agentic AI operating system.
See our workCoordinates the actions of every agent across your data, systems and teams.
Lets agents coordinate work across your enterprise tools and APIs.
The same permissions and checks apply to every agent in the system.
A modular design, so new agents and capabilities can be added later.
An assistant working through a request inside the product.
Agents your customers use, inside your product.
An agent can also be a feature. We build agents into your web or mobile product that complete tasks for your users, connected through your existing APIs, and roll them out gradually so you see what works before it reaches everyone.
See our workCompletes a task for the user, from intake to the final check. Explore AI chatbots
Built on your product's existing APIs, with no rebuild. Explore AI integration
Goes to a small group of users first, then wider once it proves itself.
We track what it does for users once it's live and keep improving it.
Is an AI agent the right call?
You need an agent.
The work runs across several steps or systems, follows rules you can write down, and happens often enough that doing it by hand slows the team.
You need a chatbot.
The work starts with a conversation, such as intake, qualification or support, and the person is there to answer questions as it goes.
You need AI integration.
You want AI at one step inside a product or system you already run, without rebuilding it or changing how the rest of it works.
You need a rules workflow.
The decision is the same every time and the inputs are clean. Plain automation is cheaper and easier to maintain, and we'll say so.
Not every problem needs an agent, and we'll tell you which one fits. Try AI chatbot development, AI integration or AI development.
From the job and its limits to an agent your team can trust, tested on your own data before it acts on its own.
Define the job and its limits.
We map the process, the decisions and the edge cases, then agree what the agent may do on its own and what it must hand to a person.
Connect only what it needs.
We connect the agent to your systems through APIs, with only the access each step needs, so it can't reach further than its job.
Test against real cases.
We test on your actual data, odd cases and failures included, before anything goes live. How an agent fails matters as much as how it works.
Roll out and monitor.
We introduce it gradually, monitor it at every stage, and keep improving it once it's live. Support carries on from there.
The engine behind agentic organisations
Decidr OS runs autonomous workflows across a business's systems, data, teams and tasks. Sentia is its core engineering partner, building the platform architecture, the workflow engine that orchestrates every action, and the integration framework that lets AI coordinate work across enterprise tools and APIs.
Decidr
Branche
Marketplace
Unsere Technologien.
AI & ML
- AWS Bedrock
- AWS Textract
- Anthropic
- OpenAI
Backend
- Ruby on Rails
- Python
- PostgreSQL
- Sidekiq
- RESTful APIs
Infrastructure
- AWS
- AWS Lambda
- Heroku
- S3
- Sentry
- Cloudflare