Automate workflows with production AI
Newer tools change quickly, so it helps to work with someone who has already shipped the pattern you are buying.
Specialist features sit behind clear interfaces, so your core product stays stable while new capability gets added.
Most people who reach this page are companies searching for AI automation. Business process automation with agents, APIs, and LLM workflows that save time and reduce manual work.
What you get
- Workflow automation
- Internal AI copilots
- Document and data pipelines
- Measurable time savings
- One studio accountable for the result
- Design and engineering on the same schedule
- Support available after launch
How engagement works
As your AI automation, we run a shared backlog, design reviews, and engineering sprints, and you keep one point of contact throughout.
- 01
Discover
Goals, constraints, data sources, and success metrics, all settled before we touch architecture or prompts. You see progress on the critical path every week.
- 02
Design
System design, AI/tool boundaries, interface direction, and interaction prototypes. Nothing here waits on a handover between separate teams.
- 03
Build
Modern stack, clean architecture, evaluated AI behavior, and iterative demos you can react to. On AI automation projects we favour practical architecture over trendy defaults.
- 04
Launch
Ship, monitor, harden, and keep improving models, tools, and product after go-live. The work for teams in Asia stays tied to the outcome you asked for.
How we build it, and why
The stack is chosen per project, not applied from a template. For AI automation work these are the defaults, and the reason each one is on the list.
- OpenAI
- a second model provider, so a single vendor's outage or price change is not your problem
- Claude
- long-context reasoning and reliable tool calling for agent work
- n8n
- workflow automation your team can edit later without opening a code editor
- MCP
- the Model Context Protocol, so your tools plug into Claude, Cursor, and other agent clients without a custom adapter for each
- Node.js
- one language across the stack, so context does not get lost at the boundary
What the first weeks look like
- Week 1
Spike the risky part
We build the thinnest possible version of workflow automation against your real data. If it is going to be a problem, it is better to know in week one than week six.
- Weeks 2-3
Harden the integration
Auth, rate limits, error paths, and the data contract. This is the work that separates a demo from something you can leave running.
- Weeks 4-6
Wire it into the product
The AI automation stops being a standalone service and becomes a feature people use, with the interface and permissions that implies.
- Ongoing
Evaluate and tune
Behaviour gets measured against cases you care about, and we tune from that rather than from impressions.
Weighing up your options
There are three realistic ways to get this built. Each is the right answer for someone.
A solo freelancer
Cheapest per hour and fine for a contained task. The risk on AI automation is breadth — one person covering design, backend, infrastructure, and launch usually means one of them is weak, and there is no cover when they are unavailable.
A local agency in Asia
Same timezone and a face to meet, which genuinely matters for some teams. You are also paying A wide mix, from Southeast Asian SaaS and fintech teams to South Asian businesses building their first serious product. rates for the whole team including the layers that never touch your AI automation, and a local shortlist is a small shortlist.
Arcode
A small senior team. The people who scope the AI automation write the code, you get weekly demos instead of status decks, and the engagement ends when the thing is live and handed over.
Work we have shipped
Note Assist
AI product · Next.js · Speech
AI meeting assistant with live speech-to-text, ChatGPT chat, and Firebase auth for transcription workflows.
Freelance AI product built with Next.js, Firebase, AssemblyAI, and ChatGPT for live meeting transcription and realtime chat around the transcript.
- · Live speech-to-text transcription
- · Realtime chat over meeting notes
- · Firebase authentication
- · AI-assisted follow-up on transcripts
Next.js · Firebase · AssemblyAI · ChatGPT · TypeScript
Circlin Waitlist
Lead frontend · Next.js 15
Multilingual waitlist and referral product for a secondhand fashion brand, covering localization, analytics, and growth loops.
Waitlist experience with EN/DE localization, referral tiers, MDX blog, and analytics for Circlin.
- · EN/DE internationalization
- · Referral reward tiers
- · MDX blog and SEO content
- · Analytics and cookie consent
Next.js 15 · TypeScript · Tailwind · MDX · React 19
VIP Hires
Full-stack · Payments · UX
Recruitment platform with Stripe payments, workflow management, and polished motion-driven UI.
Hiring product covering job posting payments, candidate workflows, forms, and analytics.
- · Stripe payment flows
- · Recruitment workflow stages
- · Validated multi-step forms
- · Analytics charts and notifications
Next.js · Redux Toolkit · Stripe · Framer Motion · Zod
Working with teams in Asia
A wide mix, from Southeast Asian SaaS and fintech teams to South Asian businesses building their first serious product. Work is remote-first (GST to JST), with written updates you can read in your own time. We usually collaborate in English.
How we work with Asia teams
Asia spans a wide time band, so what counts as overlap depends on where in the region you are: Singapore and Islamabad sit close to our own hours, Tokyo and Sydney are further out. We confirm the real overlap on the first call and set a standing time from there instead of assuming one schedule covers the whole continent.
What Asia clients usually need
Work from the region comes from two directions: fast-moving Southeast Asian SaaS and fintech teams in Singapore, Kuala Lumpur, and Jakarta, and South Asian businesses in Pakistan and India getting a first serious website, app, or AI feature built properly.
Contracts, data, and compliance
Currency and compliance vary a lot across the region, so we confirm invoicing currency (USD by default) and any local requirements, PDPA in Singapore, data localization rules in parts of South Asia, before scoping starts.
