AI Agents + Senior Engineers, combined — faster, more reliable, and more affordable than you think. From new products and apps to internal systems and AI integration, BotsUP delivers software that actually gets used, maintained, and sustained — end to end.
What we have shipped
Gartner reports that 70% of enterprise AI projects never make it to production. The blocker is rarely the model — it is that no one wires AI into the actual data, permissions, workflows, and existing systems.
Original developers disappear, SDKs expire, cloud permissions are undocumented, and nobody can read the code. Taking over typically costs 1.5–3x the original build — the difference is whether the team taking over understands production.
The darkest corner of traditional outsourcing: uncapped change orders, fuzzy requirements, and vague acceptance criteria. A NT$1M engagement ballooning into NT$2M mid-flight is not an exception — it is the industry norm. You pay; what you get back is a bill, not a product.
From idea to App Store / Google Play / Web launch. We help you pick the right bet, cut the noise, and ship the 20% of features that actually validate the business case. Track record includes million-user apps and an idea-to-store record of five hours.
Wire AI into the App, admin panel, ERP, or CRM you already have. Not another chat bubble — AI Agents that actually read your data, call your APIs, and execute your workflows. One of the few teams in Taiwan with a live native Claude.ai MCP integration.
Original team gone? App pulled from the store? SDKs expired? Admin panel orphaned? We take over the technical audit, bring it back online, and run it long term — contract, invoices, ISO 27001 security process included. Proven 3+ year operational track record.
Million-User App Experience
Consumer apps we have delivered have crossed millions of users and hundreds of millions of sessions — zero to one, launched to monetized
Live Native Claude.ai MCP Integration
One of the few production MCP providers in Taiwan with OAuth 2.1, JWT, and multi-tenant architecture
ISO 27001 + Taiwan Legal Entity
Silicon Rising Co., Ltd. — formal contracts, invoices, quotes, and long-term operational commitment
Challenge
This client refused to repeat the usual enterprise pattern — strategy in Notion, issues in Linear, accounting in a third tool, contracts in Google Docs, invoicing on yet another platform, with people shuttling data between fifteen tools every day. They did not want a chat bubble bolted onto one of those tools. They wanted an operating system designed from day one for AI agents: agents that could read strategy, create projects, issue invoices, run payroll, parse git commits, and generate daily briefings. Nothing off the shelf did this.
Solution
BotsUP delivered a full AI-native enterprise admin platform on Next.js + Firestore + GCP + MCP — strategy, execution, commercial, and HR — with AI agents as first-class citizens throughout:
Result
AI agents are first-class citizens from day one — not a chat bubble bolted on afterwards. The client team runs at multiples of comparable headcount: morning opens with an auto-generated briefing, afternoons hand invoicing to Claude, evenings let Cursor run review-to-ship — all on the same agent + MCP framework across the whole company workflow. In production for over six months and still iterating. Not a pitch deck — a system in daily use.
01
Free 30-minute conversation. We map your business, current systems, budget, and timeline, and figure out whether you need new product development, AI integration, an internal system, or a takeover.
Output: feasibility assessment plus budget and timeline range
02
Turn the fuzzy idea into concrete, actionable scope — features, user roles, data model, acceptance criteria, phased milestones, and payment terms, all on the table.
Output: spec, formal quote, and signed contract
03
UI/UX, frontend, backend, database, AI integration, staging sign-off, production deploy, store submission, and user training. Every milestone ships a real demo and verifiable deliverables.
Output: production release with ops and handover documentation
04
Bug fixes, SDK upgrades, cloud monitoring, small feature iterations, and security reviews. The goal is that this system still runs cleanly three years from now — and we have done it.
Output: monthly ops report plus next-phase recommendations
Product strategy, AI integration, production operations — the traps we have walked into and what we learned, so your team can skip a few of them.
Many teams assume that if APIs already exist, AI integration is mostly done. In practice, production-grade agent workflows need a better capability layer than raw API access alone.
A practical rollout guide for Taiwan enterprises moving AI Agents from early proof-of-concept into real production workflows, governance, and adoption.
A practical checklist for teams bringing MCP servers into production, covering token design, scopes, tenant isolation, audit logging, and OAuth 2.1 rollout risks.
Whether you want to ship an app, bring AI into an existing system, take over a project whose original team vanished, or even just figure out how to write the spec, size the budget, or apply for a grant — spend 30 minutes with us first. No fee. No pressure to sign.