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Unlock their intelligence · Mintera Knowledge

Your knowledge.
Useful to your teams.

Tailored consulting to structure your document assets and prepare your AI use cases. Strategy, data quality, indexing and governance: together, we build the foundation to find, verify and reuse your expertise.

Scope my AI project
Understand before connecting

1 TB of documents.
Not 1 TB in every question.

Your corpus is the full collection of available documents. The context is what the model receives to answer a question. Sending everything with each request can exceed its limits, multiply costs and bury relevant information. File size does not translate directly into tokens.

We select useful sources, prepare them and organise retrieval. Retrieval-augmented generation (RAG) can supply relevant passages to the model. The approach depends on the business need: indexing everything is not a goal in itself. The budget separates preparation and indexing, maintenance and query costs.

An engagement built with you

Clear decisions.
Reusable deliverables.

We can start with a focused scope. The proposal specifies agreed stages, deliverables and the contribution expected from your teams.

  1. 01

    Prioritise use cases

    Identify tasks, users, risks and success criteria with business teams and IT.

    What you receiveA prioritised AI roadmap and a scope that can be costed.

  2. 02

    Audit and prepare

    Map sources, duplicates, versions and owners. Clean content; extract text from scans with OCR where needed.

    What you receiveA qualified inventory and a data preparation plan.

  3. 03

    Structure and index

    Define metadata, split documents without losing context and test keyword and semantic retrieval as appropriate.

    What you receiveA document schema and a documented indexing pipeline.

  4. 04

    Establish governance

    Define access and content approval. Test how permission changes, updates and deletions propagate to indexes.

    What you receiveAn access matrix, assigned responsibilities and maintenance rules.

  5. 05

    Evaluate and plan ahead

    Test business questions, cited sources, abstention when information is missing, access controls, cost and latency.

    What you receiveAn evaluation report and deployment decision, with a budget and operating plan.

Illustrative example · Maintenance team

Find the right procedure.
And the right version.

Manuals, reports and procedures are scattered. We select a set of equipment, connect documents to their references and versions, then test technicians’ questions with their actual permissions.

Benefits to measure: time to find a validated answer, version errors and verification effort. The resulting knowledge base can then support an assistance agent in a separate project.

Explore use cases
Useful answers

Before you start.

Do we need to migrate all our data?
No. The audit identifies useful connections, copies or migrations. Some sources can remain in your tools. Architecture depends on available access, security and use cases.
Is this needed before every AI agent?
Preparation depends on the task. For an agent using internal documentation, source quality, access and freshness are essential. A simple workflow may need a lighter scope.
Where is data processed?
Mintera Storage is hosted in France. For the AI project, we agree on models, hosting, data flows, providers and retention rules before implementation.

Which knowledge should
work harder for you?

Let’s start with a business task, your sources and your constraints to define the right engagement.

Scope my AI project