Agentic AI
· 3 min read
AI engineering & automation · Sydney
Engineeringintelligent systemsthat do real work.
Softin Labs designs and builds AI agents, intelligent automation and custom software for organisations that need technology to deliver results, not just demos.
- AI agents
- Automation
- Software
- Cloud
- Data
Agentic AIGenerative AIRetrieval-augmented generationIntelligent document processingRobotic process automationCustom softwareCloud platformsData engineeringMLOpsAI governance
What we do
Where AI meets engineering discipline.
AI has become easy to demonstrate and hard to depend on. We close that gap. Our teams combine applied AI, automation and software engineering to build systems that are accurate, secure, observable and worth what they cost to run.
Based in Sydney and working with organisations across Australia, the United States, the United Kingdom, Europe and the Middle East.
01
AI engineering
Generative AI, AI agents and machine learning systems with evaluation, guardrails and monitoring built in from the first sprint.
Learn about AI engineering02Intelligent automation
End-to-end process automation where AI reads and decides, workflows route and people step in only where judgement matters.
Learn about Intelligent automation03Software engineering
Custom platforms, products and integrations engineered to keep changing quickly long after launch.
Learn about Software engineeringFrom pilot to production
Most AI projects stall between the demo and the system.
The difference is rarely the model. It is everything around it. This is how we build.
The demo
The system we build
Tested on a handful of hand-picked examples
Scored against an evaluation set built from real cases
Answers without sources
Grounded answers with citations and permission checks
Agents with broad, unchecked access
Scoped tools and approval gates for high-impact actions
No idea what it costs per task
Cost, latency and quality tracked from day one
Breaks when the model or data changes
Versioned prompts and models with regression tests
Services
Eight disciplines. One engineering standard.
AI & Machine Learning Engineering
Generative AI, RAG, LLM integration and custom machine learning, built to run in production with measurable quality.
- AI product development
- LLM integration and orchestration
- Retrieval-augmented generation (RAG)
- AI copilots and assistants
- Fine-tuning and model distillation
- Predictive analytics
How intelligent automation works
AI reads. Workflows route. People decide what matters.
Rules-based automation stops where judgement begins. We combine AI, orchestration and integration so whole processes run end to end, with human review exactly where it adds value.
- 01
Capture
Emails, documents, forms, calls and system events arrive through one intake.
- 02
Understand
AI classifies the request, extracts the details and retrieves the context it needs.
- 03
Decide
Business rules and agents determine the next step and flag anything unusual.
- 04
Act
Integrations and bots update systems, notify people and close the loop.
- 05
Learn
Outcomes and corrections feed evaluation so the workflow improves over time.
Typical starting points: invoice and claims processing, customer onboarding, service requests and internal approvals.
Intelligent automationIndustries
Applied to the problems of your sector.
The same engineering principles, shaped by the regulations, systems and customers of each industry.
How we work
Evidence before scale.
Every engagement moves through the same four stages. Each one ends with something you can test, measure and decide on.
Our approach in detail- 1
Discover
We map the process, the data and the decision points, and agree what success looks like in numbers you already track.
- 2
Prove
A focused proof of value runs on your real data and is scored against an evaluation set, so the decision to scale is based on evidence.
- 3
Build
Production engineering in short increments: integrations, security, monitoring and the user experience that drives adoption.
- 4
Run and improve
We operate, measure and refine, or hand over to your team with documentation and training.
Why Softin Labs
A partner that builds for the long run.
Engineers first
The people who scope your project are the people who build it. Advice is grounded in what is technically feasible.
Evaluation built in
Every AI system ships with a test set and quality metrics, so improvements are measured rather than assumed.
Secure by design
Least-privilege access, data residency and governance are part of the architecture, not a final checklist.
Vendor-neutral
We recommend models, clouds and tools on fit, and design so you can switch later.
You own it
Source code, models, prompts and documentation belong to you.
Insights
Practical thinking on AI and engineering.
AI Engineering
· 2 min read
RAG or fine-tuning? Choosing the right way to teach an LLM about your business
Automation
· 2 min read
Intelligent document processing: where rules end and AI begins
Start a conversation
Let's build something intelligent.
Tell us about the problem you are trying to solve. A senior engineer will reply, not a sales script.