AI implementation for manufacturing & B2B operations

AI Is Easy To Try.AI Is Hard To Deploy.

We deploy AI systems into real business workflows — from RFQ automation to operational intelligence.

View AI Systems

Start with a 30-minute workflow review · Response within 2 business days

How AI lands in your operationsWorkflow · data · systems

Workflow layer

Intake & triage

Research & analysis

Review & approval

Data layer

Operational databases

Documents

Knowledge sources

External APIs

AI orchestration

Model services

Tool orchestration

Guardrails

Business systems

CRM

ERP

Internal systems

Notifications

Architecture principlesIntegratedsystemsObservableoperationsGovernedcontrolsProduction-ready

Most companies don’t fail because they lack AI ideas.
They fail because they cannot deploy AI into real workflows.

AI idea

Strong ideas. High potential.

Common

Prototype

Works in a demo. Isolated.

Common

Integration challenges

Data gaps, tool sprawl, workflow mismatch, security, reliability.

The bottleneck

Production deployment

Reliable in production. Observed and maintained.

Rare

Business impact

Measurable outcomes. Scales across the organization.

Rare

Manufacturing & B2B workflows

Where industrial teams usually start with AI

RFQ automation, quotation workflows, document intelligence, and sales operations — repetitive work that can become production AI systems inside your business.

RFQ & Quote Automation

Turn customer RFQs and technical documents into structured requirements and faster quotation workflows for manufacturing teams.

Customer RequestRequirement ExtractionEngineering ReviewQuote Draft

Document Intelligence

Extract and organize information from technical documents, catalogs, PDFs, and internal knowledge sources used in daily operations.

DocumentsAI ExtractionKnowledge SystemBusiness Action

Sales Operations Automation

Reduce repetitive customer communication, research, and follow-up work across B2B sales and operations teams.

Customer InquiryAI AssistantSales Team

Fit

Who We Work With

We work best with

Manufacturing companies
Industrial B2B companies
Teams with repetitive operational workflows
Companies already using ERP, CRM, or internal systems

Not a fit for

Companies looking for a simple chatbot
Teams without a clear workflow problem

Engineering lifecycle

How We Build AI Systems

Discover

Understand workflows and identify AI opportunities.

Design

Create the right AI system architecture.

Build

Develop and integrate with existing tools.

Deploy

Launch into daily operations.

What we do

AI Workflow Discovery

Analyze existing business processes to identify where AI can create measurable impact.

AI System Design & Development

Build custom AI applications, assistants, and workflows designed around your business needs.

AI Integration & Deployment

Connect AI capabilities with existing business systems, data sources, and operational tools.

Ongoing AI Engineering Support

Continuous improvement and optimization after deployment.

Engagement

How We Work

From identifying AI opportunities to deploying systems into daily operations.

First step

AI Workflow Assessment

Deliverable

A prioritized workflow map and recommendation for where AI can create the most value.

011-2 weeks

AI Workflow Assessment

We analyze your current workflows and identify high-impact AI opportunities.

Manual document processing
Repetitive sales tasks
Quotation workflows
Internal knowledge search

024-8 weeks

AI Pilot Build

We build and validate an AI system around one specific business workflow.

One prioritized workflow
Working system for validation
Clear go / no-go criteria

03Into operations

Production Deployment

We integrate the AI system into your existing tools, data, and operations.

Workflow integration
Deployment
Optimization

From daily operations to deployed AI

AI that fits how your team already works

We do not sell another standalone AI tool. We connect AI to your existing workflows, documents, and business systems so quoting, reviews, and handoffs move faster in production.

Business workflow

RequestsReviewsApprovalsHandoffs

Data & knowledge

Existing SystemsERPCRMMESDatabasesDocuments

AI systems

AgentsKnowledge RetrievalAutomationDecision SupportNatural Language Interface

Business operations

Faster OperationsBetter DecisionsReduced Manual Work

Interactive systems

Featured Interactive Demos

Explore examples of AI systems and workflow implementations designed for real business environments.

Manufacturing RFQ Copilot

Interactive sandbox

An AI workflow that helps manufacturing teams analyze customer RFQs, extract requirements, identify missing information, and prepare quote-ready summaries.

Try sandbox

AI Operations Workflow

Interactive sandbox

Route repetitive business requests through classification, approved knowledge, and controlled action.

Try sandbox

Enterprise Knowledge Assistant

Reference simulation

Connect company documents and internal knowledge sources into an AI assistant for employees.

Explore simulation

Business System AI Assistant

Architecture exploration

An AI assistant integrated with existing business systems to help teams access information and automate repetitive tasks.

Explore architecture

Engineering portfolio

AI Systems & Case Studies

Manufacturing and operations AI systems first, with clear labels for reference implementations versus production work. No unverified client or ROI claims.

01Reference ImplementationManufacturing RFQ CopilotManufacturing AI SystemsProblemSales teams spend hours reviewing customer RFQs and preparing quotations.AI SystemAI system that extracts requirements, organizes information, and assists quotation preparation.ValueReduce manual review time and improve response speed.

02Reference ImplementationEnterprise AI Workflow AutomationBusiness Operations AI SystemsProblemOperations teams manually triage requests, search knowledge, and update CRM or ERP records.AI SystemAI system that classifies requests, retrieves approved knowledge, and prepares controlled next actions.ValueLess coordination overhead with human approval kept for exceptions.

03Reference ImplementationEnterprise Knowledge AssistantBusiness Operations AI SystemsProblemEmployees waste time searching policies, catalogs, and internal documents for recurring answers.AI SystemAI system that retrieves approved sources and returns referenced answers for internal questions.ValueFaster access to trusted information without replacing source systems.

04Production SystemRaven AI Planning PlatformProduct EngineeringProblemComplex planning work required stitching events, travel, lodging, and budget data by hand.AI SystemProduction AI application that orchestrates multiple data sources into one planning workflow.ValueShows product engineering capability for multi-system AI delivery in production.

The studio

Founder-led.
Engineers first.

Xinlab AI is a founder-led studio of senior engineers and technical builders. We embed with your team, ship production systems, and stay accountable for results.

Founder

Chen

Founder & AI Engineer

Previously built software systems at Autodesk and large-scale technology platforms.

Now helping manufacturing and B2B companies deploy AI into real business workflows.

What I bring

Software engineering experience at scale
AI system development
Enterprise workflow automation
Production software mindset

What does Forward Deployed mean?

Senior engineers work directly with your team to understand your workflows, build AI systems around your operations, and deploy them into your existing environment.

What happens after you contact us?

Workflow review
AI opportunity assessment
Recommended next steps

No commitment required.

Have a workflow that needs to move from idea to production?

Response within 2 business days

Start with a 30-minute workflow review.

We identify one high-impact AI opportunity and discuss whether it is worth building.