ServicesAI development

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.

Tell us about your project

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.

What we build

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.

Agents that take one routine job off your team.

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 work
Rule-based approvals

Approves the routine cases using the rules your team already follows.

Checked at the source

Confirms the details in your system of record before it acts on them.

A reason for every outcome

Each decision is saved with its reason, so anyone can see why.

Starts on a trigger

Runs when a new case arrives or at a set time, so work never queues up.

Agents that carry work across your systems.

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 work
End-to-end processes

Runs a process from the first step to the last, across every tool involved.

Connected through APIs

Uses your APIs, with only the access each step needs. Explore API integration

Documents as inputs

Reads incoming documents and passes on checked data. Explore document AI

Picks up where it stopped

If a system is down, the agent waits and retries instead of losing the work.

Several agents, coordinated as one system.

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 work
Orchestration engine

Coordinates the actions of every agent across your data, systems and teams.

Integration framework

Lets agents coordinate work across your enterprise tools and APIs.

One set of limits

The same permissions and checks apply to every agent in the system.

Room to grow

A modular design, so new agents and capabilities can be added later.

Agents your customers use, inside your product.

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 work
Acts for your users

Completes a task for the user, from intake to the final check. Explore AI chatbots

On your existing APIs

Built on your product's existing APIs, with no rebuild. Explore AI integration

Staged release

Goes to a small group of users first, then wider once it proves itself.

Watched after launch

We track what it does for users once it's live and keep improving it.

We can help with...
AI IntegrationDocument AI & OCRVibe Coding Review

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.

How we build an AI agent

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.

Case study

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.

Read the Decidr case studyView all projects
Decidr

Decidr

Engineering the backbone for agentic, AI-driven organisations

Industry

Marketplace

What we build with

The tech we use.

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

Common questions

An AI agent development company designs and builds software agents that carry out tasks on their own, such as checking records, approving routine cases or moving work between systems. Sentia builds the agent and the system around it, from the tools it can use and the checks it runs to the point where a person takes over.

A chatbot works through a conversation with a person. An AI agent works through your systems, often with no conversation at all, taking actions like updating records or approving cases. Some products need both. See AI chatbot development.

Yes. Agents connect to your systems through APIs, with only the access their job needs. If you want AI at one step inside a product you already run, see AI integration.

We give it a defined job and clear limits, it checks information against live records before it acts, and anything outside its rules goes to a person. Every action is recorded.

Yes. Every agent we build is custom, designed around your process, your data and your rules rather than a template.

It depends on what the agent needs to do, how many systems it connects to and how much of the surrounding software needs building. We'll scope it with you and give you a detailed estimate before anything is built.

Yes. We handle AI agent development in Sydney for businesses across Australia. Sentia has built software here since 2006, and our Zagreb team adds delivery capacity.

Yes. Sentia can provide a mutual NDA that protects your IP and ours.