The hidden cost of unmanaged information in the age of AI

Effective information architecture (IA) acts as the crucial "skeleton" for documentation, turning scattered resources into findable, compliant, and scalable intellectual property that eliminates the costly "search tax".

By applying structured metadata and governance, this strategic approach transforms technical documentation from a perceived cost center into a measurable business advantage. ​

Make your documentation operations 
create and deliver value in the best way possible.

Book a free architecture assessment. Let's talk!

See how evergreen documentation works.

Clean metadata. Structured repositories. Faceted search.
Documentation that stays accurate as your platform grows.

​Most engineering organizations are sitting on a documentation landfill.
​

Deadwood documentation
Duplicate guides across repos

​Search tax
Engineers waste hours finding the right doc

Reputation risk
​Outdated docs reach customers and partners

Information architecture guardrails fix the system.

Metadata governance
Consistent schemas, ownership, lifecycle control

​Faceted discovery
Search that understands platform, version, and product

Lifecycle governance
Docs move through draft, evergreen, and archive states

Turn documentation from clutter into a reliable engineering asset for clients.

​Client list includes:
Citadel Securities, U.S. Bank, Apple Inc., Oracle, Microsoft, BNY, Intuit Inc., MerchantE, SAP, Thermo Fisher Scientific, Amdocs, Infoblox, American Family Insurance (AmFam)

​Industries Served
​

• Finance / Payments / Fintec
• Cloud / Big Data / Developer Platform
• Compliance & Security
• Enterprise Software & Developer Tools
• Networking / Telecom

Documentation types
​

• API and SDK documentation
• Design, functional, and requirements specs
• Quick start guides
• Architecture docs
• Administrator (system, network) documentation
• White papers
• Documentation plans

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Most cited reference for the Information Architecture crisis

• IDC White Papers:
  - “The Hidden Costs of Information Work” , 2005 by Susan Feldman. She shows that knowledge workers spent over 27 hours a week searching for, gathering, and analyzing information, with 3.5 hours weekly wasted on searching for information that is never found and 3 hours recreating it. 
  - The Knowledge Worker Productivity Crisis",  2001
• McKinsey Global Institute
  Found that knowledge workers spend 19 to 28 percent of their time searching for information. This independently validates the same order of magnitude.
• Gartner
  Uses similar ranges when discussing content sprawl, search failure, and productivity loss in enterprise systems.

Kraft Consulting client list:

When we work together, you get​:

• Clean, relevant documentation that stays evergreen and easy to maintain.
• A clear plan to keep information organized, accurate, and aligned with your business goals.

By combining user research with proven information architecture practices, I help teams simplify their documentation systems and keep them healthy for the long term.