04 · Enterprise AI Applications

Enterprise AI Applications

SHEPHARD designs, develops and deploys AI applications for different departments and work scenarios based on each company's actual business needs, combining company data, business knowledge and AI capabilities so that AI is no longer a standalone tool but a working partner built into daily operations.

Why it matters

You've tried plenty of AI tools, but few have made it into real work.

The value of AI lies not in how many questions it can answer, but in whether it actually helps a company get work done.

Every company, department and role faces different problems. General-purpose AI tools can help to a degree, but they often cannot understand a company's own business rules, internal data and workflows.

Does this sound like your company?

Everyone uses AI on their own, and results depend on individual skill
AI doesn't know the company's business rules, so its answers aren't usable
Much of each day goes into reading documents, copying data and writing reports
Concerns about the security of handing company data to external AI

Whether AI creates value depends less on how powerful the model is than on whether it is built into specific work.

What we offer

01 · AI Business Assistants
AI business assistants
Build AI assistants for different roles and business needs that understand internal information and support people in their work.
- Internal intelligent assistant
- Sales assistant
- Customer service assistant
- Procurement assistant
- HR assistant
- Finance information assistant
02 · AI Document Intelligence
AI document and information processing
Use AI to recognize, extract and process different types of business documents, reducing manual sorting and repeated data entry.
- Business document recognition
- Contract information extraction
- Invoice and document processing
- Document classification and organization
- Information verification and anomaly alerts
03 · AI Business Analysis
AI business analysis
Use internal data and business information to help employees and managers understand the state of the business more quickly.
- Business data analysis
- Business information queries
- Historical business analysis
- Anomaly detection
- Intelligent report generation
04 · Custom Enterprise AI Solutions
Custom enterprise AI applications
Design and develop dedicated AI applications for the company's specific business needs.
- Company-specific AI applications
- Department-level AI tools
- AI integration with internal systems
- AI-assisted business decisions
- Custom intelligent application development

How we work

How a project unfolds

Start with one specific business scenario, build a working version first, and expand only after the results are proven.

01Weeks 1–2
Use case selection
We review repetitive work across departments, rank it by value and feasibility, and select the one or two use cases most worth tackling first.
Deliverables
- AI use case list
- Priority assessment
02Weeks 3–6
Prototype development
We build a first version using the company's data and business rules, and real users try it out in their actual work.
Deliverables
- Working AI application prototype
- Pilot feedback log
03Weeks 7–10
Launch and integration
We refine the application based on pilot results, connect it to existing systems, and set up permissions and human review steps.
Deliverables
- AI application in production
- User guide and training
04Ongoing
Monitoring and iteration
We track usage and accuracy, use employees' corrections to keep improving results, and then extend to more scenarios.
Deliverables
- Impact assessment report
- Next-phase use case plan

The value for your business

What changes afterwards

01
Less repetitive information processing for employees.
02
Faster access to and processing of business information.
03
AI capabilities built into specific work scenarios.
04
Better use of internal knowledge and data.
05
An AI application landscape suited to your business.

Typical scenarios

The following scenarios are based on situations we commonly see in companies and illustrate the kinds of problems this service can solve.

Logistics and supply chain
Documents read one by one, fields entered one by one
BeforeInvoices, packing lists and waybills all come in different formats, and staff spend much of their day reading documents and entering them into the system.
AfterAI reads the documents and fills in the system automatically; staff only check the data and handle flagged exceptions.
Wholesale and distribution
Quotes and follow-up emails take sales too long
BeforeEvery quote means checking price lists, stock and customer history, then writing the email by hand, and replies slip when things get busy.
AfterAn AI assistant drafts quotes and emails from the customer's request, and sales reviews and confirms them before sending.
Professional and business services
Contracts reviewed clause by clause by hand
BeforeLegal reads every contract from start to finish, comparing it with standard clauses to find differences, and when volumes are high, the queue grows long.
AfterAI first flags deviations from standard clauses and risky passages, so legal can focus on what really needs judgment.