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CLADENS

Proof

Working systems, in real businesses.

We don't have a wall of logos yet — we're earning our first named references now, and we'd rather show you the work than borrow someone else's brand. What we do have: more than 30 AI systems our team has built and put into production. Below is a representative set, described honestly. Details are anonymized; the outcomes are real ranges from real deployments.

30+ systems in production

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Operational Excellence

2 systems

  1. Supplier invoices into the ERP without retyping

    Situation
    AP staff manually keyed hundreds of supplier invoices a week; errors and delays followed.
    Solution
    Document Intelligence pipeline — extract, validate, route exceptions to a human; straight-through for the clean ones.
    Outcome · typical range
    Typical drop in manual processing time; fewer keying errors.
    Industrial distributionDocument

  2. Keeping deployed AI healthy in production

    Situation
    An earlier AI deployment had drifted — costs crept, accuracy slipped, nobody owned it.
    Solution
    AI Governance & Operations — monitoring, cost control, accuracy/drift checks, ownership, audit trail. Became an ongoing Monitor engagement.
    Outcome · typical range
    Typical cost stabilization and restored accuracy; a system the client can trust again.
    Other industrialGovernance & Ops

Customer Excellence

1 system

  1. Quote-to-order, faster and more consistent

    Situation
    Quotes bottlenecked on finding specs and chasing approvals; customers waited.
    Solution
    Workflow + Knowledge Intelligence — pull the right spec, run the approval flow, human in the loop on exceptions.
    Outcome · typical range
    Typical reduction in quote turnaround and human touches per quote.
    Automotive suppliersWorkflow + Knowledge
  2. More cards fill this lane
    as references land.

Workforce Leverage

1 system

  1. Service techs find the right procedure in seconds, not minutes

    Situation
    Field and floor techs lost time hunting through manuals and SOPs; experts were interrupted constantly.
    Solution
    Knowledge Intelligence assistant over the client's technical documentation, with cited answers and existing access controls. Shallow change — same job, instant lookup.
    Outcome · typical range
    Typical reduction in time-to-answer on the floor; senior staff hours returned.
    MachineryKnowledge
  2. More cards fill this lane
    as references land.

Revenue Acceleration

1 system

  1. Forecasting that cuts stockouts and dead stock at once

    Situation
    Spares and demand planning ran on gut and spreadsheets; both stockouts and overstock were common.
    Solution
    Decision Intelligence forecasting on the client's order history, surfaced in the planner's existing workflow.
    Outcome · typical range
    Typical improvement in fill rate alongside lower carrying cost.
    MachineryDecision
  2. More cards fill this lane
    as references land.
Numbers are typical ranges from comparable builds, not guarantees. We commit to specific targets in writing, per engagement, after Discovery.

Our first named references are coming.

We're running our first engagements at a founding-client price specifically to earn the references this page will carry. If you'd like to be one of them — and get the work at founding terms — start with the readiness check.

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