Forward Deployed AI Engineering for B2B Operations
We deploy AI workflow layers onto the ERP, CRM, CAD, PLM, email, and document systems you already run — without replacing them.
No sales pitch · NDA available · Response within 2 business days
Your teams keep using the same systems. AI handles the information flow between them.
Why this matters
Critical information is spread across emails, documents, ERP, CRM, CAD, and PLM systems. Xinlab adds an AI workflow layer to help teams understand, retrieve, and act on that information — inside the workflows they already run.
Strong ideas. High potential.
CommonWorks in a demo. Isolated from operations.
CommonData gaps, tool sprawl, workflow mismatch.
BottleneckRunning inside business workflows.
RareLess manual handoff work. Clearer operations.
RareFormer Autodesk engineer building enterprise engineering software systems. Former Pinduoduo engineer working on large-scale production systems.
Now implementing AI workflows inside existing B2B operations — connecting documents, data, and business systems.
Forward Deployed AI Engineering partner — senior engineers embed with your team and deploy into existing environments. Not a SaaS product or chatbot agency.
Every engagement starts with the founder.
Best fit
Not a fit
Reference workflow
One reference implementation — manufacturing RFQ operations. Xinlab deploys AI into existing B2B workflows by connecting documents, data, and systems. Each deployment is customized around the customer's environment.
Deployed into existing email, document, ERP, CRM, and approval systems — with human engineer confirmation before any customer response.
Workflow execution
Securely connect RFQs, documents, and historical quotations with an AI assistant built for manufacturing teams.
Incoming request is captured from the existing customer email workflow.
Customer / Nordform Industrial
Requirements are normalized from the email, drawing, specification, and BOM.
The RFQ is checked against the information needed to prepare an accurate quote.
AI recommendationCustomer clarification required
Other workflows where AI can be deployed
All reference implementationsHow we work
Review one workflow, map the opportunity, pilot with your team, then integrate into production systems.
Map the current process, systems, and bottlenecks.
Identify where AI can reduce manual workflow work.
Deploy one workflow with your team and clear success criteria.
Connect to existing systems and run in daily operations.
Before sharing workflow or document detail.
Not used by Xinlab to train public models; vendor terms reviewed per engagement.
Limited to the engagement team.
Approach set by customer requirements.
B2B companies with complex operational workflows — documents, internal knowledge, sales and operations processes, and existing business systems. Discrete manufacturers (CNC, contract manufacturing, industrial equipment) are a common reference vertical, typically 50–500 employees with ERP / CRM / CAD / PLM or equivalent already in place.
Operations teams lose time moving information between emails, documents, ERP, CRM, CAD, and PLM. Xinlab deploys an AI workflow layer so teams can understand, retrieve, and act on that information inside existing operations.
No. We add an AI layer onto the systems and workflows you already run.
Senior engineers embed with your team, build around your operations, and deploy into your existing environment.
Book a 30-minute AI Workflow Review. Bring one workflow. No sales pitch. NDA available.
No. They are reference implementations. Each deployment is customized to the customer's systems and data.
In 30 minutes we will:
No sales pitch · NDA available · Response within 2 business days
Bring one repetitive operational workflow.
