Generative AI as a Copilot for Internal Curation

Combine artificial intelligence and human review to deliver relevant knowledge every day.

Quick summary

• Objective: Implement AI-assisted curation flows inside the intranet.
• Audience: Knowledge teams, technology teams and content leaders.
• Benefits: Speeds up material discovery, reduces duplication and keeps content up to date

Definition of priority use cases

Start with questions that repeat often, outdated documents and high-demand topics.

When Definition of priority use cases becomes part of intranet governance, the company avoids isolated initiatives and turns the topic into an operating routine with clear ownership, adoption metrics, and continuous improvement.

An efficient approach combines diagnosis, impact-based prioritization and two-week iterations. Document hypotheses, define success criteria and involve partner areas from the start: Communications, IT, Security, Legal and HR.

Good practices

• Start simple and measurable: one sprint delivery that creates immediate value.
• Standardize names and taxonomies to avoid content silos in the intranet.
• Create page and card templates to speed up republishing and keep consistency.
• Use light segmentation and personalization by business unit, role and location.
• Collect continuous feedback inside the intranet through polls, reactions and internal NPS.

Practical example

1. Map the current flow related to the topic and find bottlenecks.
2. Propose a high-impact card or page with clear CTAs: do, learn or request.
3. Publish to a pilot group and track consumption, clicks and conversions.
4. Iterate content and UX from engagement data.

Human + machine workflow

Let AI suggest summaries, tags and related content while editors approve sensitive changes.

When Human + machine workflow becomes part of intranet governance, the company avoids isolated initiatives and turns the topic into an operating routine with clear ownership, adoption metrics, and continuous improvement.

An efficient approach combines diagnosis, impact-based prioritization and two-week iterations. Document hypotheses, define success criteria and involve partner areas from the start: Communications, IT, Security, Legal and HR.

Good practices

• Start simple and measurable: one sprint delivery that creates immediate value.
• Standardize names and taxonomies to avoid content silos in the intranet.
• Create page and card templates to speed up republishing and keep consistency.
• Use light segmentation and personalization by business unit, role and location.
• Collect continuous feedback inside the intranet through polls, reactions and internal NPS.

Practical example

1. Map the current flow related to the topic and find bottlenecks.
2. Propose a high-impact card or page with clear CTAs: do, learn or request.
3. Publish to a pilot group and track consumption, clicks and conversions.
4. Iterate content and UX from engagement data.

Continuous improvement cycle

Use searches, clicks, ratings and comments to retrain prompts and improve curation rules.

When Continuous improvement cycle becomes part of intranet governance, the company avoids isolated initiatives and turns the topic into an operating routine with clear ownership, adoption metrics, and continuous improvement.

An efficient approach combines diagnosis, impact-based prioritization and two-week iterations. Document hypotheses, define success criteria and involve partner areas from the start: Communications, IT, Security, Legal and HR.

Good practices

• Start simple and measurable: one sprint delivery that creates immediate value.
• Standardize names and taxonomies to avoid content silos in the intranet.
• Create page and card templates to speed up republishing and keep consistency.
• Use light segmentation and personalization by business unit, role and location.
• Collect continuous feedback inside the intranet through polls, reactions and internal NPS.

Practical example

1. Map the current flow related to the topic and find bottlenecks.
2. Propose a high-impact card or page with clear CTAs: do, learn or request.
3. Publish to a pilot group and track consumption, clicks and conversions.
4. Iterate content and UX from engagement data.

Recommended indicators

• Search success rate
• Duplicate content reduction
• Average time to update knowledge
• User satisfaction with recommendations

Implementation roadmap

• Week 1: inventory knowledge sources and repeated questions.
• Week 2: define prompts, review policy and approval owners.
• Week 3: test AI suggestions in a controlled pilot.
• Week 4: measure adoption, tune rules and scale.

Next steps

• Connect curation to onboarding journeys.
• Create a feedback loop for content owners.
• Define escalation for sensitive or regulated topics.