SoraStep

SoraStep · Enterprise AI Agents

Build production-ready AI Agents for enterprise workflows.

SoraStep connects AI Agents with business systems and automation flows, turning review, analysis, service, finance, and office work into reliable software capabilities.

SoraStepAgent OS

Sense, reason, execute

AI AgentFrom prototype to production
Full-stackWeb / mini app / app / admin
WorkflowConnected to real operations

Services

From intelligent Agents to complete business systems, designed around real enterprise workflows.

AI Agent development

Dedicated Agents for knowledge bases, content review, report generation, customer support, and office workflows.

Multi-model accessTool callingPermissionsHuman handoff

Software engineering

Enterprise management systems, business platforms, data consoles, APIs, and integrations.

Workflow modelingArchitectureData movementIteration

Web development

Websites, web apps, SaaS products, admin panels, and visual workspaces.

Responsive UISEOPerformanceMotion

Mini programs and apps

WeChat mini programs, cross-platform apps, and mobile business systems for multi-device operations.

WeChat ecosystemMobile workflowsNotificationsCross-platform UX

Solution directions

We start with high-frequency, rule-heavy, repetitive work where AI can deliver measurable operational value.

01workflow

Document, asset, and content review

For contracts, images, videos, marketing assets, articles, and user submissions, with classification, risk detection, rule checks, review routing, and audit trails.

02workflow

Data analysis and report generation

Connect operating, sales, project, and management data to clean datasets, identify trends, detect anomalies, and generate reports, dashboards, or slide decks.

03workflow

Intelligent customer service

For presales, aftersales, internal IT service desks, and knowledge-base Q&A with multi-turn conversations, intent detection, ticket routing, and human handoff.

04workflow

Monthly reconciliation and invoice recognition

Use OCR, field extraction, validation, and automated matching to reduce manual entry and surface exceptions earlier.

05workflow

OA office intelligence

Controlled assistants for approvals, meeting notes, policy Q&A, task follow-up, and workflow automation.

How we deliver

An engineering-led path from workflow discovery to continuous iteration.

01

Workflow discovery

02

Agent and system architecture

03

Focused prototype validation

04

Production engineering

05

Feedback, evaluation, and iteration

Engineering confidence

A refined interface only matters when the system has clear data boundaries, permissions, integrations, and observability.

Permissions and audit
System integration
Multi-device experience
Reliable delivery