With citations
AI chatbots & assistants
24/7 conversational support integrated with your website, mobile apps, Teams, Slack and your own knowledge base — answering with verifiable citations rather than confident guesses.
Strategy → proof of concept → scale
AI development and solutions
Production-ready AI, not demos. Chatbots, autonomous agents, computer vision and generative AI — starting with a two to six week proof of concept that tells you whether it is worth scaling.
What we build
Production-ready AI, not demos
We design, build and operate AI that runs in production: chatbots, autonomous agents, computer vision, audio intelligence and generative AI. Fast pilots, secure delivery, measurable ROI.
Aligned & controlled
Generative AI
Content generation, summarisation, code review, document automation and personalised experiences, with alignment controls so output stays inside the lines.
Guardrailed
Autonomous agents
Task-driven agents that plan, call APIs, write data and execute workflows — with guardrails and audit trails, because an agent with write access needs both.
Vision & audio
Computer vision
Image and video analytics, OCR, quality inspection and liveness detection, plus voice and audio analytics for verification and insight.
2–6 weeks
Proof of concepts
Two to six week PoCs that validate feasibility, quantify the impact and build stakeholder confidence before anyone commits to scaling.
Build or operate
End-to-end delivery
Solution design, data pipelines, model operations, security and change enablement. We build and hand over, or run it for you.
The Onsys AI lifecycle
Strategy through to scale
Six stages, and a decision point after the second — so you find out whether it works before the budget is committed.
Discovery & strategy
Understand the business need, assess whether your data is actually ready, and define outcomes that can be measured rather than admired.
Proof of concept
Build a working prototype in two to six weeks to validate feasibility and quantify business value before scaling.
Solution design
Architect an AI solution that fits how your business actually operates, including where a human stays in the loop.
Model development
Train, fine-tune and optimise for accuracy and efficiency, against evaluation criteria agreed up front.
Integration & deployment
Embed the solution into your applications, systems or cloud environment with the security controls your organisation requires.
Monitoring & improvement
Continuous support, optimisation and scaling — because model performance drifts as the world and your data change.
Why Onsys for AI
We run this in our own products first
The chat assistant on this website is ours, built on the same retrieval and citation approach we deliver to clients. So is OnsysConnect, which took two 2025 awards.
- Multi-domain expertise across chatbots, vision, audio, agents and generative AI
- Enterprise-grade delivery on Azure, AWS, OCI and hybrid cloud
- A track record with AI-powered SaaS and business transformation projects
- Agile, flexible engagement models: proof of concept, fixed price or dedicated team
- Responsible AI — transparent, secure and compliant with global standards
- Data pipelines and model operations handled by the team that already runs your data platform
Start with a proof of concept, not a programme
Two to six weeks to find out whether AI solves your problem and what it is worth. If the answer is no, you have spent weeks rather than a year.
Book a Free Proof of ConceptPublished
FAQ
Common questions
With a proof of concept. Two to six weeks to validate feasibility, quantify the impact and build stakeholder confidence. If the answer is that AI does not solve your problem, you have spent weeks finding out rather than a year.
AI chatbots and virtual assistants, autonomous agents that call APIs and execute workflows, generative AI for content, summarisation, code review and document automation, computer vision including OCR and liveness detection, and audio and voice analytics.
Retrieval against your own knowledge base with verifiable citations, so answers are grounded in your content and users can check the source. Alignment controls and guardrails constrain what the system will say and do, and agents that write data carry audit trails.
Microsoft Azure, AWS, Oracle Cloud or hybrid environments, with the security controls your organisation requires. Deployment target is usually decided by where your data already lives and what your compliance obligations allow.
That is a design decision made explicitly at the start, and it is one of the first things we cover. Enterprise deployments are normally configured so your data is not used for third-party model training, and the architecture reflects that requirement.
A proof of concept is scoped and quoted individually based on the use case and data readiness. Beyond that, engagements run as fixed price, dedicated team, or advisory at $150 per hour with a four-hour minimum. All prices are GST exclusive.
Either way. We build and hand over with documentation and model operations in place, or we run it for you — including monitoring, optimisation and retraining as the data and the business change.
Yes. The chat assistant on this website is ours, built on the same retrieval and citation approach, and OnsysConnect won BRONZE at NBQSA 2025 and Second Runner-up at APICTA 2025.