Client Onboarding

Stop Losing Weeks to Client Onboarding

Custom AI solutions built for your manufacturing workflows, delivered in weeks.

Industry Context

Manufacturing client onboarding is weighed down by complex regulatory requirements (ISO, FDA, REACH), supply chain volatility, and an aging workforce with tribal knowledge gaps. Delays in onboarding directly impact production schedules and revenue recognition. Custom configurations, material certifications, and quality audits require tight coordination across departments -- and that coordination breaks down fast when it's handled manually.

By the Numbers

18 days

average new supplier onboarding time

PwC Supply Chain, 2024

42%

of onboarding involves redundant quality certifications

Deloitte Manufacturing, 2025

50%

reduction in supplier onboarding time with AI

McKinsey Procurement, 2024

The Problem

What you're dealing with

Manually cross-referencing client-provided material certs against internal compliance databases, risking human error and audit failures.

Production delays because engineering hasn't approved client-specific process parameters buried in email threads.

Last-minute discovery that a client's requested packaging isn't compatible with your logistics partners' systems.

Quality teams redoing inspections because onboarding docs didn't specify tolerance thresholds for a new client's part.

Sales committing to unrealistic timelines because they lack visibility into onboarding backlog and resource constraints.

The Solution

How it works

We start by mapping your actual onboarding process -- not the documented version -- through AI-driven interviews with your team. This uncovers hidden dependencies, manual workarounds, and compliance gaps. We then design a custom AI system that connects to your ERP, QMS, and CRM to automate data validation, task routing, and exception handling. Our proprietary platform speeds up development, so we can deploy a working system in weeks. You get a system that auto-checks material certs against regulatory databases, routes engineering approvals based on real-time capacity, validates packaging specs against logistics constraints, and gives sales accurate onboarding timelines. The result: fewer errors, faster time-to-production, and consistent compliance.

Arc

Automates data extraction and validation from client documents against your compliance and operational rules.

Wand

Orchestrates task assignments and approvals across departments based on real-time resource availability and priorities.

In Practice

Before and after

Before

A new automotive client submits 200+ material certs via email. Your quality team spends three days manually cross-referencing each cert against internal and regulatory databases. Two certs are missed, causing a production hold weeks later.

After

We built a custom system that ingests client docs, extracts key data automatically, and validates against your compliance databases in minutes. Exceptions are flagged for human review, and approved certs are pushed directly to your ERP. The entire process now takes two hours, with zero missed certs.

1 Client uploads documents to a dedicated portal.
2 System extracts and validates data against compliance rules.
3 Exceptions routed to quality team for review.
4 Approved data integrated into ERP and QMS automatically.
5 Onboarding dashboard updated in real-time for all stakeholders.

6 weeks

From kickoff to deployed solution

For a medical device manufacturer with complex FDA and ISO 13485 requirements.

FAQ

Common questions

How do you handle our unique compliance requirements?

We embed your specific regulatory rules and internal policies into the AI system during design. It learns from your team's decisions and adapts to your compliance workflows.

What if our ERP or QMS changes after deployment?

We build modular integrations that can be updated as your systems change. Post-deployment support includes adjustments for system updates.

How is this different from buying a SaaS onboarding tool?

SaaS tools force you to adapt to their workflows. We build a system that adapts to yours -- your compliance needs, your operational flow, your integrations.

Who owns the AI model and data after delivery?

You own the system and all data. We provide full documentation and training for your team to maintain and extend it.

What happens if the AI makes a mistake?

We build in validation layers and human oversight for critical decisions. The system flags low-confidence outcomes for review, which keeps risk low.