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. Our founder was CTO at Sinar Mas and VP of Engineering at AwanTunai, so we know the Indonesian market from the inside. We help banks, fintechs, retailers and logistics companies take AI from pilot to production, with senior engineers, matching working hours and systems designed for the PDP Law and OJK rules.
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At a glance
Jakarta is only an hour and a half ahead of India, so your entire working day overlaps with our team. Managed services run on-call around the clock.
Personal Data Protection Law (Law 27 of 2022), OJK regulations, GR 71/2019 and data localisation, Komdigi AI ethics circular, Bank Indonesia rules
A 30-minute call with a founder, then a fixed-price proposal within days.
How we operate
Jakarta is only an hour and a half ahead of India, so your entire working day overlaps with our team. 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 Indonesia
Delivered from Gurugram, India, with senior engineers who have built at companies like Amazon, Google, Microsoft, Uber or Meta.
Our founder led engineering at Sinar Mas and AwanTunai, and our team has worked on payments, lending and logistics systems for the Indonesian market.
A 90-minute time difference means stand-ups, demos and decisions happen live across your whole working day.
We design for the PDP Law, OJK regulations and data localisation requirements from the first sprint, including hosting in Indonesian cloud regions.
Every project is led by an engineer who has built at companies like Amazon, Google or Microsoft, at rates well below global consultancies.
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
Lawful basis, data subject rights, controller obligations and cross-border transfer rules for AI systems that process personal data.
IT risk management, outsourcing and governance requirements for banks, fintech lenders and insurers.
Data placement obligations for certain electronic system operators, particularly in the public and financial sectors.
Ethics guidance for businesses using AI: transparency, accountability and user protection.
Payment system and security requirements for payment service providers and e-money issuers.
This is general information about the regulatory landscape, not legal advice. We work alongside your legal and compliance teams.
Where we see demand
Credit scoring, fraud detection, KYC automation and document AI for banks, multifinance companies and fintech lenders under OJK supervision.
Demand forecasting, personalisation and pricing for retailers, marketplaces and D2C brands.
Predictive maintenance, quality control and inventory optimisation for manufacturers and logistics companies.
Clinical documentation, claims processing and patient analytics for hospital groups and health-tech companies.
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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