AYE DigitalAYE Digital
Strategy Call

AYE Know for a clear AI start

From document chaos to a clear AI baseline.

AYE Know analyses grown repositories locally in your network and shows where search time, duplicates, access risks and relevant automation levers are concentrated.

Teams do not need to clean everything first. You get a decision-ready picture and a sensible starting point.

Plan your AYE Know analysis entryView the platform blueprint

Executive Benefit

Why decision-makers reach a viable AI decision faster

The real problem is often not missing knowledge, but knowledge that exists and still cannot be found or used reliably. AYE Know reduces operational friction, lowers uncertainty around sensitive files and prioritizes the next steps instead of launching broad actionism.

Deep-Dive Navigation

Need more depth? Use the 5 decision-focused deep dives

The main page stays intentionally short. All detailed content is available in structured deep-dive routes without losing information.

Main -> Deep-Dive

First-Step Deliverable

What you concretely get in the first step

A local analysis of your document and repository structure with visibility into duplicates, search friction, access issues and critical areas, plus a prioritized decision baseline for order, cleanup and later automation.

First-Step Deliverable

  • Visibility into where knowledge is searched for, duplicated or overlooked in daily work
  • Prioritized decision baseline for order, cleanup and first manageable leverage points
  • Clear split between first phase and later expansion wave

Trust

The entry stays local, controlled and manageable

Initial assessment runs in a customer-controlled environment so sensitive files do not need to be moved out for the first phase.

  • Analysis-first messaging without full-automation promises
  • Conditional governance wording without absolute compliance claims
  • Now-vs-next-wave split for realistic expectations

Mini case study

Mid-sized services company (anonymized)

Initial situation

Fragmented repositories, inconsistent naming and duplicate files caused search overhead, avoidable handovers and unclear ownership paths in daily operations.

Solution

AYE Know was applied in a scoped local pilot: repository analysis, duplicate clustering, ownership clarification and a prioritized execution baseline for next steps.

Measured results after 6 pilot weeks

  • Average search time per casefrom 14 to 8 minutes (-43%)
  • Duplicate ratio in pilot repositoriesfrom 22% to 9% (-13 percentage points)
  • Cases with clear owner assignmentfrom 61% to 88% (+27 percentage points)

Note: Anonymized pilot data from a single organization. Outcomes are context-dependent and not a guarantee of identical effects elsewhere.

Objections

Frequently asked questions before kickoff

The deep dives contain the full detail context. The main page remains focused on decision-relevant essentials.

Is this already a large transformation program?

No. The first phase is a scoped analysis with prioritization as the basis for later decisions.

Do sensitive files leave our setup in the first phase?

The first phase is intended for a customer-controlled local setup, so sensitive files typically do not need external processing during that step.

Where are technical, governance and roadmap details?

They are fully migrated into the 5 deep-dive routes and linked directly from this page.

Next step

Start with clarity instead of a large-scale project

In the first conversation we clarify which repositories currently create the highest friction and which entry path is the right one.

What we qualify in the entry

  • which current-state gaps and search or ownership issues need visibility first
  • which repositories currently drive the highest operational friction
  • which entry processes, teams and ownership paths should be reviewed first
  • which clear next step creates the strongest leverage after analysis

Deep-Dive quick links

Plan your AYE Know analysis entryView the platform blueprint