AILDNC Nie Er | AI Delivery Notes
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Services & Collaboration

I build enterprise AI applications that ship to production — not just demo chatbots.

Every engagement starts from a concrete scenario: a batch of documents, a workflow, a department, or an existing demo. No courses, no generic playbooks — we talk about your specific problem.

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Primary Offering

Document Parsing & Information Extraction

Turn complex documents into structured data — not free-form model output.

Who It's For

Teams dealing with contracts, due diligence files, research reports, announcements, PDF tables, scanned documents, and bid documents that need structured extraction. Currently relying on manual reading, copying, and data entry, looking to automate the first draft for human review.

  • Contract key field extraction and comparison
  • Batch due diligence document structuring
  • Research report / announcement data extraction
  • PDF table recognition and database ingestion
  • Cross-document verification and anomaly detection

Deliverables

  • Document sample analysis and field schema design
  • PDF / Word / Excel parsing pipeline
  • LLM extraction chain with evidence grounding
  • Anomaly detection and human review workflow
  • Batch processing scripts or lightweight backend
  • Baseline offline evaluation set

Pricing Guide

PoC (Proof of Concept)
$1,500 – $3,000
MVP Delivery
$4,000 – $12,000
Production Integration
$12,000+, scoped per engagement

Enterprise RAG Knowledge Base

Citable, traceable, evaluable, and permission-aware — not just another chatbot.

Who It's For

Teams with policy docs, product documentation, support FAQs, ticket history, training materials, or internal knowledge bases looking to build internal Q&A or support assistance. Or teams that have already built a simple knowledge base demo but struggle with answer quality, source attribution, permission boundaries, or production readiness.

  • Internal policy / process / product knowledge Q&A
  • Customer support knowledge assistance and ticket classification
  • Training material intelligent search and Q&A
  • Policy and compliance document lookup
  • Multi-department knowledge base with permission isolation

Deliverables

  • Document cleaning and parsing
  • Chunking strategy and hybrid retrieval design
  • Recall, reranking, and query rewriting
  • Source citation and refusal for unanswerable questions
  • Permission isolation recommendations
  • Baseline evaluation set and deployment documentation

Pricing Guide

RAG Assessment
$500+
RAG MVP
$3,000+
Production Enhanced
$9,000+, scoped by document volume and permission complexity

AI Scenario Diagnosis & Technical Assessment

First determine whether AI is the right approach — then decide how to build it.

Who It's For

Business leaders with AI ideas but unsure if they are worth pursuing; teams with a demo that cannot ship to production; teams uncertain about budget, timeline, key risks, and MVP boundaries.

  • Have a business idea but uncertain about the technical approach
  • Have a working demo that cannot go live
  • Need clarity on budget, timeline, and risks
  • Need an external perspective on solution feasibility

Deliverables

  • One 60–90 minute remote consultation
  • Concise assessment report: scenario feasibility, technical roadmap
  • MVP scope breakdown and risk checklist
  • Preliminary review of existing demos or sample documents

Pricing Guide

Standard
$199 – $399

Full credit toward subsequent MVP or production engagement.

AI Module Subcontracting & Technical Partnership

Serve as an external AI engineer or module delivery partner for software teams and system integrators.

Who It's For

Software companies that have client requirements but lack RAG, document extraction, or workflow delivery experience; system integrators needing AI modules, PoCs, bid demos, or delivery support; SaaS teams looking to add AI capabilities without hiring full-time AI engineers.

  • Software company lacking AI module delivery capability
  • System integrator needing bid demos or PoCs
  • SaaS team embedding AI features into existing product
  • Outsourcing team needing technical advisory or code review

Deliverables

  • Per-module pricing: RAG modules, document extraction modules, AI assistant modules
  • Daily consulting: solution review, code review, technical troubleshooting
  • Monthly remote support: ongoing project technical support
  • Per-phase collaboration: PoC / MVP / pre-launch support

Pricing Guide

Per Module
$3,000+
Daily Consulting
$200 – $600 / day
Monthly Retainer
$1,200 – $2,500 / month

Production Workflow & System Integration

Integrate validated AI capabilities into real business processes and existing systems — production-ready, maintainable, and handoff-ready.

Who It's For

Teams that have validated RAG or document extraction value and need to integrate into real departmental workflows; teams needing to connect AI into OA, CRM, ERP, knowledge bases, ticketing systems, or WeCom; teams with recurring processes like scheduled report generation, human review, and push notifications.

  • AI capability integration into OA / CRM / ERP / ticketing systems
  • Multi-step business process automation
  • Scheduled report generation with human-in-the-loop approval
  • Cross-system data flow and state synchronization

Deliverables

  • Process breakdown and system integration plan
  • Automation pipeline with human review checkpoints
  • State tracking, exception handling, and retry logic
  • Permissions, logging, and operational recommendations
  • Deployment and handoff documentation

Pricing Guide

Small Production Workflow
$4,500+
Multi-system / Complex Permissions
$9,000 – $25,000+

Scope Boundaries

I can do these, but I don't recommend featuring them as primary public services.

These directions tend to attract price wars, scope creep, or high-risk engagements — generally not suitable as main collaboration areas.

Not Recommended as Primary Offerings

  • Prompt optimization gigs — too close to low-end piecework, undermines delivery-focused positioning
  • Simple Dify / Coze / FastGPT wrappers — attracts low-budget clients with unclear boundaries
  • Generic "do-everything AI agent" platforms — impossible to scope, endless disputes
  • Automated stock picking, trading, medical diagnosis, or legal conclusions — high-risk, unsuitable for individual service offerings

How to Start

Share your problem context first. I'll help assess the technical approach.

If you're unsure whether LLMs fit your use case, send over the basics. I'll help determine whether RAG, rules-based systems, workflows, or improving existing systems is the right path.

Get in Touch About Me

What to Prepare

  1. Industry and the problem you want to solve
  2. What documents, data, or systems currently exist
  3. What output you expect
  4. Whether integration with existing systems is needed
  5. Internal use or customer-facing
  6. Consulting, project delivery, part-time collaboration, or full-time opportunity

Contact

Book a 30-minute technical diagnosis

Share the business context first. I will help assess whether the AI application is worth building, how to approach it, and where the main risks are.

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