AI Integration Services for Your Existing Software
Sentia has been building and integrating software in Sydney since 2006. We add AI to the software you already run, whether we built it or another team did, so you don't have to rebuild it.
build with Sentia
Most businesses don't have an AI problem.
No rebuild required.
AI integration adds capability to the system you already have. Your product, data and workflows stay where they are, and the AI fits around them.
Growth without the headcount.
When volume grows, the integration takes on the routine work, so your team doesn't need to grow at the same pace just to keep up with it.
Built for the exceptions.
Real data is messy. Anything the AI isn't sure about is flagged and routed to a person, so one odd document never turns into a wrong decision.
AI integration services for the work your team repeats
Four places AI usually earns its keep in existing software. Each one is built into your system, not bolted on beside it.
Invoice fields extracted and checked before they reach your records.
Turn incoming documents into data your system can use.
If your team spends hours reading forms, invoices or PDFs and keying them in, that's the first place to look. We add extraction and validation to the workflow you already have, so clean data lands where it belongs and anything uncertain goes to a person.
Explore document AIHooks into the inbox, upload or portal your documents already come through.
Each extracted field is checked against what's expected before it's saved.
Clean data goes straight into the system your team already works in.
Uncertain fields wait for a person, inside the tools your team already uses.
Routine claims approved, with the unusual ones passed to a person.
Approvals with predictable outcomes, handled automatically.
Many approval workflows follow the same rules every time. We build those rules into your existing system, so routine cases are checked and approved on their own, and the unusual ones still reach a person with everything they need to decide.
Explore AI agent developmentThe approval rules your team already follows, built into the existing workflow.
Each case is verified against the data already in your system.
Unusual cases reach a person with the checks done and the reason flagged.
Every automated decision recorded in your system for review and compliance.
A demand forecast built from the order history already in the system.
Put the data you already collect to work.
Orders, transactions and records often hold more value than anyone has time to find. We connect AI to the data your system already holds to forecast, sort or surface what needs attention, then feed the result back into the workflow.
See our workUses the orders, transactions and records already in your database.
Predicts demand or volume and flags the records that need attention first.
Labels incoming records automatically, so the right team sees them first.
Results appear in the screens your team already uses, not a separate dashboard.
An AI feature added to a product you already run.
AI features in your product, without a rebuild.
Your customers expect smarter features, but the product works and rebuilding it isn't on the table. We add AI to the codebase you have, behind your existing APIs, and roll it out gradually so you see what works before it reaches everyone.
Explore API integrationAI features added through the APIs your product already has.
Assistants that complete tasks, not just answer questions. Explore AI chatbots
Released to a small group first, monitored, then extended once it proves itself.
Written to fit your codebase, so your developers can look after it.
Works with the software you already run
Built by us, or by someone else.
We add AI to products we built and to codebases other teams wrote. We read the code first, then integrate in a way your developers can maintain.
Through clean APIs.
Models connect to your system through well-defined APIs, so the AI can be changed or replaced later without touching the rest of the product.
Not tied to one model.
We work with AWS Bedrock, AWS Textract, Anthropic and OpenAI models, and choose after we understand the workflow, not before.
Supported after launch.
We monitor the integration once it's live and keep improving it as your data and your product change. Support carries on from there.
AI and software development from one team. Integrating AI into existing software is mostly a software job, and we've been building and connecting production systems since 2006. Connecting systems with no AI involved? See API development and integration. Starting a new AI workflow from scratch? See AI development.
From the step worth automating to AI running on your real data, inside the system you already have.
Find the right problem first.
Not every manual step is worth automating. We look at where your team's time actually goes, then pick the step where AI will make a real difference.
Design for real-world data.
Real documents are blurry and fields go missing. We design for the messy cases from the start, with validation and a person in the loop.
Build into your existing system.
The integration fits what you already have, through your APIs and your data, so your team keeps working the way it does today.
Test against reality before shipping.
We test against your actual data and real-world edge cases, then roll out gradually and keep monitoring once it's live.
Our work
Sentia is the core engineering partner behind Decidr OS, the AI engine for agentic organisations, including the integration framework that lets AI coordinate work across enterprise tools and APIs. Alongside it, production systems we've built and connected for Australian businesses.
Decidr
Industry
Marketplace
Eclipx Car Inspections
Industry
Transport & Logistics
Shippit
Industry
Transport & Logistics, Retail & eCommerce
Airtasker
Industry
On-demand Service, Marketplace
The tech we use.
AI & ML
- AWS Bedrock
- AWS Textract
- Anthropic
- OpenAI
Integration
- RESTful APIs
- Ruby on Rails
- Python
- PostgreSQL
- Sidekiq
Infrastructure
- AWS
- AWS Lambda
- Heroku
- S3
- Sentry
- Cloudflare