Engineering Delivery Standard

Standardized 8-Step Delivery Process

YBBE follows an 8-step delivery standard: feasibility assessment in 1-3 working days, architecture planning in 2-4 working days, agile development typically in 2-4 weeks, full unencrypted source handover at project closeout, and 12 months of free maintenance. Every phase has written deliverables.

Requirement Discovery and Feasibility Assessment

1-3 Working Days

Engineers participate directly to review business workflows, current data assets, expected KPIs, and computing constraints, then evaluate the feasibility of deploying LLMs or custom AI systems.

Deliverables: AI Business Feasibility Assessment Report, Initial Technical Direction Recommendations

Architecture Planning and Project Scheduling

2-4 Working Days

We refine system topology, algorithm tuning strategy, API definitions, and hardware planning, then provide a clear WBS task breakdown and phased delivery schedule.

Deliverables: System Technical Specification (SRS), WBS Breakdown and Delivery Schedule

Contract Signing and Confidentiality Kickoff

1 Working Day

We formally execute commercial and data confidentiality agreements together with the development contract, clearly defining delivery scope, IP ownership, and acceptance milestones.

Deliverables: Development Contract, Commercial & Data NDA, Project Milestone Schedule

Prototype Design and Data Preparation

5-7 Working Days

We produce interactive desktop and mobile prototypes while preparing unstructured enterprise data, instruction sample sets, and vectorization strategies for downstream implementation.

Deliverables: Interactive Prototype Demo, Data Cleaning and Vectorization Plan

Agile Sprint Development and Model Iteration

2-4 Weeks

We iterate in agile sprints, regularly providing runnable demo versions and progress syncs. The algorithm team fine-tunes models and optimizes inference while the engineering team integrates frontend, backend, and business systems.

Deliverables: Stage Demo / Test Environment, Fine-Tuned Model Package and Phase Test Records

Integration Testing, Security Hardening, and Acceptance

3-5 Working Days

We perform concurrency and latency testing, prompt-injection and sensitive-content defense checks, plus accuracy validation. Both sides sign off against the agreed contractual metrics.

Deliverables: Testing and Security Evaluation Report, Joint Acceptance Confirmation

Private Deployment and Knowledge Transfer

2-3 Working Days

Engineers deploy the system remotely or on site into the client environment. We transfer full source code and Docker deployment assets, and train the client technical team for maintenance and takeover.

Deliverables: Full Unencrypted Source Code Repository, Deployment Scripts and Maintenance Manual, Training Materials

12-Month Free Maintenance and Ongoing Support

365-Day Coverage

We provide timely working-day issue response, review system logs and bad cases, and support routine maintenance together with minor version optimization after launch.

Deliverables: Maintenance Records, System Optimization Recommendations

Delivery Transparency

Full Project Handover Checklist

No black-box delivery and no technical lock-in. At project closeout, all agreed assets are fully transferred to the client according to contract terms.

Full Unencrypted Source Code

Includes frontend web or admin interfaces, backend API microservices, inference engines, and data processing scripts. Code is documented, maintainable, and delivered without encryption, obfuscation, or backdoors.

✓ Full Git commit history can be transferred

Fine-Tuned Weights and Instruction Assets

We transfer all SFT or LoRA fine-tuned Safetensors or GGUF model files together with formatted JSONL domain training and evaluation datasets when covered by the contract.

✓ Model and data ownership clarified by contract

One-Click Deployment Package and Operations Manual

We provide standardized Dockerfiles, docker-compose orchestration, and where needed Kubernetes deployment assets, together with architecture documentation, API docs, and maintenance troubleshooting guides.

✓ Supports fully private deployment environments

Service Commitment Details

What the 12-Month Free Maintenance SLA Covers

365 Days of Ongoing Support

1. Free Bug Fixes and Code Defect Resolution

During the 12-month warranty period, if any issues arise from code logic, interfaces, or frontend compatibility, our engineering team will investigate and release fixes at no extra cost.

2. Inference Performance Tuning and Service Stability Support

For production issues such as VRAM overflow or high-concurrency blocking, engineers provide ongoing tuning guidance for inference parameters, service health, and monitoring practices.

3. Knowledge Base and Data Maintenance Guidance

We help clients establish workflows for incremental document ingestion, vector index maintenance, and bad-case prompt refinement to keep response quality improving over time.

4. Technical Handover and Engineer Support

If the client later builds an internal team to take over the system, we provide one-on-one code walkthroughs and technical handover support without retaining critical knowledge.

Common Questions

Frequently Asked Questions About Delivery

Clear answers on schedule, security, IP ownership, and maintenance expectations.

How do you estimate project timelines and move delivery forward? ▼

We break the project down by architecture complexity, model tuning effort, data preparation scope, and frontend or backend workload. Delivery is usually organized into 3-4 milestones such as technical specification confirmation, prototype and model validation, system integration, and production acceptance. At each stage, the client receives runnable deliverables for review.

Our business data is highly sensitive. How do you protect confidentiality? ▼

We sign formal commercial and data confidentiality agreements before project kickoff. Technically, we support isolated development environments, data desensitization workflows, and private on-premise GPU deployment so sensitive business data remains under the client's control.

What if our internal team has no algorithm engineers to maintain the system later? ▼

That is a common situation. We deliver systems with usable management interfaces where applicable, provide up to 12 months of technical assurance and routine support, and include training materials plus maintenance documentation to help internal technical or operations staff take over smoothly.

Can we still start if requirements are not fully clear yet? ▼

Yes. We often begin with a lightweight PoC or focused technical consulting engagement. Engineers help sort out business logic, build an initial prototype, and validate feasibility on a smaller scope before scaling into a full production system.

Do open-source model licenses create commercial or copyright risks? ▼

We follow open-source license requirements carefully. When selecting foundation models, we prioritize mature commercially permitted options such as DeepSeek, Qwen, and LLaMA-family models where appropriate, and we document third-party dependencies to support compliant commercial use and audits.

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Our lead engineers are ready to walk through your requirements and prepare a detailed architecture plan and roadmap.

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