Enterprise AI Services
Your full-stack AI transformation partnerAI transformation services for traditional enterprises and mid-to-large organizations — covering enterprise AI training, private knowledge-base and customer-service build-out, office-system AI integration, and custom RPA + AI agent development, delivered project by project.
Key Features
- Enterprise AI training: AI tooling training and literacy workshops for management and staff
- Enterprise AI build-out: private knowledge base (RAG), AI customer-service bots, smart approval workflows
- Office AI-ification: integrate AI into your existing OA / CRM / ERP systems and automate workflows
- Automation & AI agent development: custom RPA + AI agents to replace repetitive manual work
- Full project lifecycle: needs assessment → proposal → custom development → training → ongoing support
- Our customers
- Traditional enterprises and mid-to-large organizations pursuing cost reduction and AI-driven transformation.
- What we provide
- Enterprise AI training workshops, AI knowledge-base and customer-service build-out, OA/CRM/ERP AI integration, and custom RPA + AI agent development.
- Transaction flow
- 1Enterprise submits a request or contacts sales for a needs assessment
- 2We deliver a custom proposal and project quote
- 3Service contract signed, first payment made online
- 4Delivered by milestones — development, training and go-live
- How we get paid
- Custom-quoted fees billed by project milestone; long-term clients can sign an annual support contract.
Frequently Asked Questions
How long does enterprise AI training typically take?
It depends on your organization's size and the depth of training needed — anywhere from a half-day AI-literacy workshop for management to multi-session, role-specific training covering both basic tool usage and job-specific applications. We scope the exact plan after an initial needs assessment.
What's the difference between a private knowledge base and just using ChatGPT?
General-purpose LLMs don't know your company's internal information — policies, product docs, past support tickets. A private knowledge base uses RAG (retrieval-augmented generation) to turn your internal documents into a searchable source the AI checks before answering, so responses are grounded in your actual data and sensitive information never leaves your environment.
How is project pricing calculated?
Enterprise AI Services are quoted per project milestone. We start with a free needs assessment, then quote based on scope — training volume, system integration complexity, and development effort. Long-term clients can also sign an annual support contract.
Do we need a lot of existing digital data before starting AI transformation?
No. Most companies' data starts out scattered across documents, chat logs and spreadsheets. We begin with a data inventory and organize from there, starting with high-frequency, low-risk use cases like customer support Q&A or approval workflows — you don't need to fully digitize everything first.
Is there ongoing support after the project is delivered?
Yes. We provide go-live support after delivery, and long-term clients can sign an annual technical support contract covering maintenance, feature updates and issue response.