Scope, acceptance, and deployment are explicit
Workflows, permissions, data boundaries, and acceptance are confirmed before development. Launch includes test environments, monitoring, and rollback.
SYS Agent · APP Agent · AI AGENT
Custom systems, apps, and AI Agents—built as one product you can operate
AgentTech builds custom systems, iOS / Android apps, and AI Agents connected to existing data and tools. The system takes orders, members, bookings, and permissions. The app takes frequent daily tasks. AI Agents connect only after readable data and human approval are explicit.
Delivery follows one standard for scope, acceptance, and deployment. For one clearly scoped core workflow, the first-phase target is a working version in 4–6 weeks. Source code, accounts, and environments belong to the client. If the product does not exist on the market yet, start with AgentTech Lab.
- First-phase target*
- A working version of one core workflow in 4–6 weeks
- Review cadence
- A visible, adjustable version every week
- Asset ownership
- Source code, accounts, and environments belong to you
- Technical lead
- We lead core engineering and own specialist acceptance
* Example for one clearly scoped core workflow with accessible data and third-party interfaces. Timing depends on features, migration, integrations, and app-store review.
Why AgentTech
One delivery standard for systems, apps, and AI Agents
Source code and operating assets belong to you
Source code, vendor accounts, and deployment details are handed over so you can maintain the product or continue with AgentTech.
We lead core engineering and own specialist acceptance
When design, content, or SEO is included, AgentTech owns interfaces and acceptance so you are not coordinating separate vendors.
Choose the right approach
Packaged software, a custom system, and an AI add-on solve different problems
Not every gap needs custom development, and a chatbot is not the same as integration. Align the problem layer before setting the first-phase scope.
| Decision | Packaged software | Custom system | AI tools only |
|---|---|---|---|
| Best when | Standard workflows already fit, such as common inventory or accounting. | Pricing, permissions, approvals, or fulfillment cannot be expressed in a package. | Data and process are already stable, and you only need faster classification, drafts, or movement. |
| What you get | Ready-made features and vendor operations, with less flexibility in rules. | Your data model, state machine, permissions, and extensible interfaces. | Controlled automation on top of the existing system—not a replacement for master data. |
| The trade-off | Workarounds around the product, with critical rules still handled manually. | Discovery and acceptance work; the first phase should stay on one core path. | Without permissions, logs, and human approval, automation can scale mistakes. |
Start with operating objects
When Excel, LINE, and backends cannot share status, collapse them into a custom system
Define the real states and permissions for orders, members, bookings, or approvals first, then decide how the website, app, or AI Agent connects. Website and SEO work is planned only when the core system needs it.
If the project also needs a public site, landing page, or search foundation, AgentTech coordinates partners so inquiries, accounts, and events return to the same system.
Explore custom systemsCustom commerce platforms
Products, members, cart, promotions, orders, payments, logistics, and administration.
Membership and course platforms
Accounts, plans, access, progress, enrollment, notifications, and reporting.
Booking and scheduling systems
Availability, resources, staff, waitlists, payments, cancellation rules, and notifications.
Marketplaces
Multi-sided roles, listings, search, matching, commissions, reviews, disputes, and operations.
Operations backends
Permissions, customers, orders, approvals, tasks, reporting, and exception management.
Third-party integration
CRM, ERP, payments, logistics, LINE, email, analytics, and existing APIs.
Services
Three capabilities on the same data, permissions, and acceptance
Start with the operational break. The system takes orders and administration, the app takes frequent tasks, and AI Agents connect only after access is explicit.
Common starting point
SYS Agent
Custom systems
Typical break
Orders, members, and bookings live in Excel and disconnected tools, so status never matches.
What we build
One source of truth, states, a permission matrix, and an operations backend.
Explore custom systemsAPP Agent
App development
Typical break
Frequent tasks need push, device capabilities, or a more stable journey than mobile web.
What we build
An iOS / Android app on the same APIs, accounts, and admin backend.
Explore app developmentAI AGENT
AI Agent integration
Typical break
Repeated lookup, classification, and record-creation still happen by copy-paste, but you cannot let AI commit to customers.
What we build
Readable data, allowed tools, human approval, and operation logs.
Explore AI Agent integrationAgentTech Lab
When the product does not exist yet, build the first version as a system, app, and AI Agent
The Lab is for new products—not dressing up packaged software. If no existing system, app, or AI platform can express the idea, we turn one core workflow into a working first phase and deliver the custom system, app, and AI Agent as one product. These are the projects AgentTech most wants to take.
Nothing off the shelf fits
The work is not forcing an inventory package to fit. It is turning rules, experience, and a data model that are not yet a product into a launchable first version.
System, app, and AI as one product
Permissions, states, and master data come first. The app takes frequent tasks. AI Agents connect only after readable data and human approval are explicit.
Prove the core, then expand
For one clearly scoped core workflow, the target is a working version in 4–6 weeks. Source code, accounts, and environments belong to the client.
If you need to collapse existing orders, members, or bookings out of spreadsheets and disconnected tools, start with a custom system. The Lab is for teams building a new product from zero.
Connect the AI Agent to the system—do not add another chat box
Define readable data, allowed actions, and human-approval boundaries first, then let the Agent handle classification, drafts, record creation, and movement across tools.
Explore AI Agent integrationDelivery process
From discovery through launch and continuous growth
01
Discovery
Clarify business goals, users, workflows, data, budget, and timing.
02
Plan and estimate
Define scope, architecture, milestones, acceptance, and boundaries.
03
Design and build
Validate experience, features, and integrations through working previews.
04
Test and launch
Verify devices, permissions, data, performance, deployment, and rollback.
05
Operate and grow
Prioritize reliability and features using real adoption and operating data.
About AgentTech
Named practices, one delivery window
SYS Agent, APP Agent, and AI AGENT share the same scope, acceptance, and deployment standard. AgentTech leads core engineering; when design, content, or SEO is included, we coordinate specialists and own acceptance.
Start with your requirements
Start with the product and business outcome you need
Share the operating workflow, app product, or AI Agent use case you want to improve, along with timing and budget range. We will define a practical first phase.