GenAI & AI Agents
Copilots, retrieval systems and agents wired into your real tools and data.
Sunday Labs is a boutique, founder-led AI and data consultancy. We help Australian banks, retailers, healthcare groups and software companies take AI from pilot to production, with senior engineers, overlapping afternoons and systems designed for the Privacy Act and APRA standards.
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At a glance
Our morning in India is your afternoon on the east coast, so we cover roughly 1pm to 7pm AEST live and run the rest asynchronously. Managed services run on-call around the clock.
Privacy Act 1988, APRA CPS 230 and CPS 234, Voluntary AI Safety Standard, Consumer Data Right, Sector rules
A 30-minute call with a founder, then a fixed-price proposal within days.
How we operate
Our morning in India is your afternoon on the east coast, so we cover roughly 1pm to 7pm AEST live and run the rest asynchronously. Managed services run on-call around the clock.
Stand-ups, demos and decisions happen in the hours shown in gold, on a call with the people doing the work.
Outside the overlap, work moves forward with written updates, recorded demos and pull requests you can review in your own time.
For managed services, monitoring and incident response run 24x7 against agreed SLAs, whatever the time zone.
Why Australia
Delivered from Gurugram, India, with senior engineers who have built at companies like Amazon, Google, Microsoft, Uber or Meta.
Every project is led by an engineer who has built at companies like Amazon, Google, Microsoft, Uber or Meta, at rates well below Australian consultancies.
Our morning in India overlaps with your afternoon, so demos and decisions happen in real time. Overnight work means you often wake up to progress.
CPS 230 operational risk, CPS 234 information security and Privacy Act obligations are designed in from the first sprint.
We work inside your own cloud accounts in Sydney or Melbourne regions and can deploy open-weight models in your environment when data cannot leave.
What we do
Pick a single engagement or let us run the full programme, from strategy to systems in production.
Copilots, retrieval systems and agents wired into your real tools and data.
Find where AI moves your numbers and sequence a roadmap people believe in.
Lakehouses, clean pipelines and governed metrics that every model depends on.
Forecasting, pricing, churn and demand models, plus dashboards people open.
CI/CD for models, observability and cost controls that keep AI reliable.
Process redesign, change and responsible AI aligned with the rules that apply to you.
How we work
A tight, repeatable loop. Every phase ends with something you can use, not just something you can read.
Stakeholder interviews, data audit and a ranked backlog of AI use cases scored on value, feasibility and risk.
Target architecture, success metrics and an evaluation plan agreed before a single line of production code.
Small senior squads ship in weekly increments with your team embedded, so knowledge transfers as we go.
Hardening, monitoring and rollout across teams, then a clean hand-off or a lean run-and-improve retainer.
Built responsibly
The Australian Privacy Principles and the 2024 reforms, including transparency about automated decisions that use personal information.
Operational risk management, including material service providers, and information security for banks, insurers and super funds.
The Australian Government's ten guardrails for safe and responsible AI, and the proposed mandatory guardrails for high-risk settings.
Rules on accessing and using shared banking and energy data in AI systems.
ASIC guidance for financial firms and state health privacy laws for healthcare providers.
This is general information about the regulatory landscape, not legal advice. We work alongside your legal and compliance teams.
Where we see demand
Credit, fraud and document AI for banks, lenders, insurers and super funds under APRA and ASIC.
Demand forecasting, personalisation and pricing for Australian retailers and D2C brands.
Clinical documentation, claims and patient analytics for healthcare providers and health insurers.
Predictive maintenance, quality and inventory models for manufacturers, mining services and distributors.
Commercials
Two weeks, fixed fee. A ranked use-case backlog, a data readiness view and a scoped pilot.
Four to six weeks, fixed fee. A working system with real users and one agreed metric.
Monthly retainer. A senior squad that keeps shipping, or managed operations under SLAs.
FAQ
Tell us where you are. We will come back within one business day with a point of view, not a sales deck.
Contact
Pick a time for a discovery call in your hours. You will speak with a founder, not a sales team.
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