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Enterprise AI

AI systems built on your data and processes.

Enterprise AI, at Codedesign, means AI systems that run in production inside a company's own processes: they read documents, answer questions and prepare work, then hand the result to your ERP, CRM or transport management system, with a person in control of the exceptions.

  • Document AI for invoices and orders
  • Assistants over your own documents
  • Human review of exceptions
  • EU data residency and audit trail

Why most AI pilots stay pilots

A pilot proves that a model can read an invoice. Production needs more: real data, a place to send the result, a rule for every exception, and someone who answers for it on Monday morning.

Without integration, AI produces text that someone copies by hand. Without validation, it produces errors nobody notices. Without monitoring, it degrades quietly. That is the part we build.

What we build

  • 01

    Document agents

    AI agents that receive supplier invoices, transport orders or delivery notes, check what each document is, extract the data and prepare it for approval.

  • 02

    Knowledge assistants

    Assistants that answer from your own procedures, contracts and manuals, cite the source and respect each person's permissions, using retrieval-augmented generation (RAG).

  • 03

    Voice agents

    Agents that answer the phone for defined customer-service tasks and pass the request on, with a transcript of every call.

  • 04

    Workflows with human review

    AI prepares; a person approves, corrects or rejects. Every decision is recorded.

  • 05

    Integration with ERP, CRM and TMS

    Results reach the systems of record through their own interfaces, never by copy and paste. See systems integration.

  • 06

    Evaluation and monitoring

    Test sets built from your real documents, run before every release, and monitoring of accuracy, exceptions and cost in production.

  • 07

    Our platform, or yours

    Where it fits, we build on Evolus, our own AI platform; Evolus is a trademark of Codedesign SRL. Otherwise, we build on the model and infrastructure you choose.

How we work

  1. 01

    Choose one process

    We start from a process with a clear cost, such as invoices keyed by hand, and agree how success will be measured.

  2. 02

    Collect real examples

    We gather real documents or conversations, the difficult ones included, and use them to test every version.

  3. 03

    Build around the model

    Validation, integration, permissions and the review screen are built with the AI step, not after it.

  4. 04

    Pilot on real data

    The system runs on real cases alongside the current process, and we review the results with the people who do the work.

  5. 05

    Run and improve

    In production we monitor accuracy, exceptions and cost, and release improvements in small, documented steps.

Principles

  • Your data stays yours

    Data is processed in an EU region, access follows your roles, and every AI step is logged in an audit trail.

  • AI proposes, rules decide

    The model reads and suggests. Deterministic checks validate amounts, codes and master data before anything reaches your ERP.

  • People handle the exceptions

    When the system is unsure, a person sees the case, the reason and the source document, and decides.

  • Model-agnostic

    We choose the model for each task and can replace it when a better or cheaper one appears. You can also bring your own.

In practice

For an international freight forwarder, an AI agent checks that each supplier PDF is really an invoice, then extracts the data for approval and import. Read the case study. For a European transport and logistics group, a pilot turns customer emails into transport orders. Read about the pilot.

Further reading

Questions we are asked

What is enterprise AI?

Enterprise AI is the use of AI models inside a company's own processes and systems, in production, with the controls a business needs: integration with the systems of record, validation of results, human review of exceptions, access control, an audit trail and monitoring. The model is one component; most of the work is around it.

Can AI work with our existing ERP?

Yes. The AI step prepares data outside the ERP; an integration layer validates it and writes it through the interfaces the ERP already offers, such as services, staging tables or import files. The ERP stays the system of record. Codedesign has built such integrations with Microsoft Dynamics NAV.

Where is our data processed?

In the European Union. Codedesign keeps processing, storage and model deployments in an EU region, lists every processor that touches the data, and keeps an audit trail of each AI step.

How long does it take to go from pilot to production?

It depends less on the model than on data access, integration and the rules for exceptions. The AI step is usually the first part to work; integration, validation, review and monitoring take longer, and they are what makes the system reliable.

Does the EU AI Act apply to our project?

It depends on the use. Back-office document automation is usually not high-risk, but chat and voice agents must tell people they are dealing with an AI, and systems used for recruitment or credit scoring are high-risk. Our guide to governance under GDPR and the AI Act sets out the dates.

Enterprise AI

Which process would you hand to AI first?

Bring one real example, such as an invoice or an order email. We'll show you what a production system around it would look like.

Request a private meeting

Email

info@codedesign.it