AI Chatbot Development Agency in Australia
Sentia is an AI chatbot development agency in Sydney that has built software in Australia since 2006. Our chatbots collect, check and hand clean data to your systems, not just answer questions.
build with Sentia
A chatbot should finish the job.
Structured output.
People answer the way they talk. The chatbot turns that into clean, validated data your systems can use, with each detail confirmed before it's sent.
Fewer abandoned forms.
Long forms lose people halfway. A guided conversation asks one thing at a time and adapts to each answer, so more people get to the end.
Handles the unexpected.
People ask side questions, change their answers and upload the wrong file. The chatbot handles all of it and still gets the job done.
AI chatbot development services, built around the job
Four kinds of work our chatbots take on. Each one connects to the systems you already run and hands over to a person when it should.
A conversation in place of a long form, one question at a time.
Chatbots that replace the long form.
Applications, onboarding and intake forms lose people halfway through. A chatbot asks one question at a time, adapts to each answer and checks the details as it goes, so you get complete, clean records.
See our workAsks one question at a time and adapts the next one to the answer.
Handles variable paths without a rigid decision tree behind every answer.
Confirms each detail with the person and lets them correct it before it's saved.
Sends validated, structured data on to the systems you already run.
Each enquiry checked against your rules, then handled or passed on.
Chatbots that qualify and support, not just deflect.
Qualification calls and routine support often need a person on every conversation. A chatbot handles the routine ones from start to finish, using your own data and rules, and passes the rest to your team with the context attached.
See our workAsks the questions your team would ask and records the answers against each lead.
Replies from your own policies, guides and records, with direct answers, not links.
Connected to your backend systems so it can check details as the conversation goes.
Passes the conversation to a person when it needs one, with the history attached.
A document read and checked before anything moves on.
Chatbots that collect and check documents.
Gathering documents usually means emails back and forth and someone checking every file. A chatbot asks for what it needs, reads each upload, pulls out the details and confirms them with the person before anything moves on.
Explore document AIAsks for each document in turn and tells the person what's still missing.
Reads each upload and pulls out the details your process needs.
Checks the extracted details with the person and flags anything that doesn't match.
The same document reading we build for back-office processing, inside a conversation.
An assistant added to a product you already run.
Assistants that work inside your product.
A chatbot can be a feature, not a widget in the corner. We build assistants into your web or mobile product that help users search, complete tasks and get answers, connected through your existing APIs and rolled out gradually.
Explore AI integrationAn assistant inside your product that helps users complete real tasks.
Users search your product in plain words and get direct results.
The same conversation design, spoken rather than typed.
Adds an assistant to the product you already run, on your existing APIs.
The tech we use.
AI & ML
- AWS Bedrock
- OpenAI
- Anthropic
- Natural Language Processing
- Document Processing
Backend
- Ruby on Rails
- Python
- PostgreSQL
- Sidekiq
- RESTful APIs
Infrastructure
- AWS
- AWS Lambda
- Heroku
- S3
- Sentry
- Cloudflare
Is a chatbot the right call?
You need a chatbot.
The work starts with a person, such as intake, qualification or support, and the answers vary too much for a fixed form to handle well.
You need an AI agent.
The work runs across your systems with nobody to talk to, like checking records, moving data or approving routine cases.
You need AI integration.
You want AI at one step inside a product or system you already run, without changing how the rest of it works.
You need a better form.
The questions are short and the same for everyone. A well-designed form is cheaper to build and easier to run, and we'll say so.
Not every problem needs a chatbot, and we'll tell you which one fits. Explore AI agent development, AI integration or AI development.
From the job it has to finish to a chatbot tested on real conversations, before your customers ever meet it.
Define the job it has to finish.
We agree what the chatbot must achieve, the information it needs to collect and what counts as done, before any conversation is designed.
Design for people going off-script.
People ask side questions, skip ahead and change their answers. We design for that from the start, so the conversation still reaches its goal.
Connect it to your data and systems.
The chatbot works with your documents, records and APIs, not just the chat window, with only the access each step needs.
Test with real inputs, then launch.
We test with real conversations and real documents, odd cases included, before it goes live. Then we monitor it and keep improving it.
Production AI, engineered by Sentia
A chatbot is only as useful as the systems behind it. Sentia is the core engineering partner on Decidr OS, an AI operating system that runs autonomous workflows across a business's systems, data and teams.
Decidr
Industry
Marketplace