DATA ARCHITECTURE / KNOWLEDGE INTEGRATION

Enterprise Knowledge Bases & Internal AI Q&A

Spring & Dune inventories documents, fields, versions, and sources to build an information structure that supports search, reporting, handoffs, and AI-assisted work.

SERVICE FIELD NOTES

Turn scattered information into knowledge people can find and use.

See how we approach the problem, work with your team, and assess what we deliver.

SERVICE IN PRACTICE / 01

The documents exist, but the answers still live with people

There are several versions of the same quote, product limits are buried in an old deck, and new staff do not know which source to trust. Reliable search starts by identifying sources, categories, valid versions, and who maintains them.

01 / SCENARIOWhere does it break down?
01

Documents and presentations

Inconsistent names make versions hard to distinguish

02

Product data and spreadsheets

Different fields make information hard to combine

03

Team Q&A

Answers stay in chat and handoffs depend on memory

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From raw records to a maintainable knowledge base

Inventory sources and audiences, then define categories, fields, permissions, and update rules. Search results should link back to their sources. Flag missing or conflicting information for review. Design search or Q&A interfaces around the available content and systems.

02 / STRUCTUREHow do the pieces fit together?
01

Source inventory

Documents, spreadsheets, product data, and Q&A

02

Information structure

Categories, fields, naming, and valid versions

03

Search and use

Search, reporting, citations, and AI Q&A

04

Governance

Permissions, owners, and regular updates

SERVICE IN PRACTICE / 03

Example: A new employee checks a product restriction

The system answers from current sources the employee can access and includes citations and update information. If evidence is insufficient, it flags the question for an owner to resolve. Reviewed answers can then support future queries.

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How does the project work?

We agree on the problem and scope first. Each stage produces something your team can review before moving on.

03 / PROCESSWhat you can review at each stage
  1. 01

    Source inventory

    Sample documents and confirm usage and access

  2. 02

    Structure design

    Define categories, fields, and version rules

  3. 03

    Sample preparation

    Organize an initial set of records that can be verified

  4. 04

    Usage testing

    Test real queries and verify their sources

  5. 05

    Maintenance handoff

    Assign owners and document how to update content

Illustrative workflow. The proposal specifies timing, revisions, acceptance criteria, and deliverables.

SERVICE IN PRACTICE / 05

What do you receive, and how do we assess it?

Depending on scope, we provide a source inventory, taxonomy, field definitions, prepared samples or datasets, and maintenance guidance. Historical cleanup, admin interfaces, search tools, and integrations are scoped separately.

What to check

Use real tasks such as finding the latest quote, checking a product limit, or preparing a monthly report. Compare time and verification steps, check citations and permissions, and confirm the team can maintain the content.

SERVICE IN PRACTICE / 06

Start with what you already have

Share where documents are stored, anonymized samples, common questions, and who owns updates.

Tell us where the documents live, who searches them, and which questions are often answered incorrectly. We can scope a document review, search pilot, or AI Q&A prototype.

Discuss your knowledge base and AI Q&A →

CONNECTED SERVICES

Related services

Brand strategy clarifies the message. Knowledge integration organizes source material. Interactive development builds the interface, and workflow integration brings tools into day-to-day work. Choose one service or combine them as the project requires.

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