Webcore Technologies
AI built for real operations

AI Automation and Agentic Engineering for Real Business Systems

Webcore Technologies helps businesses automate repetitive work, modernize legacy applications, and build AI-powered software using modern agentic engineering workflows.

IBM i → AI
Legacy systems, modernized
Human-in-loop
Engineering oversight built in
automation.pipelinelive
SOURCE
IBM i
SOURCE
CRM
SOURCE
Database
Automation Core
agent.run(workflow)
●●●
ACTION
Dashboard
ACTION
Notify
ACTION
Sync
1,248 tasks automated↑ 23% this week
— Why Webcore Technologies

Built for businesses that need AI to work in the real world

Most businesses do not need another disconnected AI tool. They need intelligent automation that understands their workflows, connects to their systems, protects their data, and improves how work actually gets done.

Schedule a Consultation
01
Legacy-to-AI expertise

Connect IBM i, business databases, and existing workflows to modern AI capabilities.

02
Human oversight

Agents accelerate delivery; engineers own architecture, review, testing, and security.

03
Outcomes, not hype

Fewer manual tasks, faster response, cleaner handoffs, better visibility, less rework.

04
Secure by design

Private data handling, role-based access, auditability, and human-in-the-loop controls.

agent — webcoretec
$ plan analyze requirements & legacy code
$ generate 14 files · 6 endpoints
$ test 92 passing · 0 failing
$ docs generated API reference
$ review awaiting human approval
— Agentic Engineering

Build software faster with AI agents and engineering discipline

We use modern AI-assisted engineering workflows to accelerate development while keeping experienced engineers in control of architecture, quality, security, testing, and deployment.

AI-assisted planning
Code generation & refactoring
Automated test creation
Documentation generation
Legacy code analysis
Code review support
Developer workflow automation
Human approval & QC
— Process

A practical path to AI automation

01

Discover

Identify manual work, bottlenecks, systems, and business rules.

02

Design

Map the right AI, automation, integration, and modernization approach.

03

Build

Develop workflows, agents, applications, APIs, and system connections.

04

Improve

Measure results, refine the solution, and expand automation over time.

— Trust

Modern AI backed by real engineering

Secure implementation
Human-in-the-loop controls
Integration with existing systems
Maintainable architecture
Clear documentation
Scalable automation
Production-ready practices
Modernization without disruption

Ready to put AI to work in your business?

Let's identify where automation, AI agents, agentic engineering, or modern software can save time, reduce manual effort, and improve your operations.