Adam Wisher← All work

Project №3 · INNOVA · Knowledge Operations

Knowledge & Training Ecosystem

A governed knowledge system connecting product truth, support, training, certification, and company-wide operating standards.

Role
Product Lead
Scope
Company-wide

The challenge

Critical knowledge was scattered.

Support teams needed speed, new hires needed context, external installers needed proof of competence, and every department needed the same approved documents.

I reframed the knowledge base as an operating capability—not a folder of articles. The system is structured, owned, versioned, searchable, and designed for both human and AI retrieval.

Four connected missions

One platform serving employees, customers, partners, installers, and service companies through real workflows.

  1. 01

    Support

    A trusted answer layer for Technical Support and VIP Service, organized by product, generation, symptom, and task.

  2. 02

    Employee lifecycle

    Role-based onboarding, guided learning paths, and offboarding checklists that retain operational knowledge.

  3. 03

    Partner enablement

    Product and sales training for representatives and managers, plus structured certification for installers and repair companies.

  4. 04

    Company standards

    One governed library for approved templates, procedures, naming conventions, and controlled company files.

System architecture

From product truth to usable knowledge.

  1. 01

    Product truth

    ERP · CRM · PDM

  2. 02

    Knowledge layer

    Articles · Media · Files

  3. 03

    Governance

    Owners · Review · Versions

  4. 04

    Delivery

    Web · AI · Support · Training

Governance

Content is a product.

Each knowledge domain has an accountable owner. Critical content follows a controlled lifecycle: draft, expert review, approval, publication, scheduled review, and archive.

Revision history, effective dates, and feedback from support cases keep the system trustworthy as products, organizations, and markets change.

Designed impact

Making knowledge scalable.

01

Faster and more consistent support answers

02

Shorter onboarding for employees and partners

03

Traceable installer and service-company certification

04

Fewer duplicated, outdated, or locally stored files

05

A machine-readable foundation for an AI assistant

06

A repeatable publishing and review process

One trusted knowledge core.
Every audience. Every workflow.