ServiceNow/Knowledge & self-service

Knowledge Quality Accelerator

Turn existing ServiceNow knowledge into content AI can understand and users can trust.

Assess, improve and govern knowledge articles directly inside ServiceNow, with generated rewrites and human-controlled application.

10AI-readiness criteria
2Phase 2 modes; availability to be confirmed
1 clickto review and apply
At scaleacross the knowledge base

The business problem

The capability exists. The operating conditions often do not.

Now Assist, AI Search and Virtual Agent depend on the quality of the knowledge they can access. Poor titles, missing context, weak ownership and outdated content produce weak answers.

Manual review cannot keep pace with thousands of articles, and a quality score alone does not fix the underlying content.

What changes

From fragmented activity to a controlled outcome.

Current position

Before

Knowledge quality varies by author and large backlogs make consistent review impractical.

AI Digital intervention

With the accelerator

Every article is assessed against one framework and receives specific, usable improvements.

Resulting position

After

Knowledge becomes easier for people and AI to find, interpret and use, with continuous governance to prevent decline.

How it works

A practical route from the current problem to an operational result.

01

Evaluate

Assess titles, headings, metadata, abstracts, steps, readability, scope and completeness.

02

Generate

Create searchable titles, keywords, concise abstracts and clearer front-loaded solutions.

03

Review

Show the proposed changes, evidence and effect on readiness before anything is applied.

04

Apply & govern

Publish approved improvements and continue monitoring quality across the knowledge base.

Capabilities

Capabilities and Phase 2 scope.

Per-article editor enhancements, image and link checks, and the automated bulk pipeline are described as Phase 2. Availability and delivery scope must be confirmed before engagement.

01

Editor mode

An AI Readiness Check on each article, with clear suggestions and controlled one-click application.

02

Phase 2 bulk pipeline

Described capabilities include detecting issues at scale, applying safe changes and routing higher-risk rewrites for review. Confirm availability and scope before engagement.

03

Phase 2 image and link quality

Image descriptions and link checks form part of the Phase 2 scope. Confirm availability before engagement.

04

Continuous governance

Make quality a repeatable operating process rather than a one-off clean-up.

What you receive

Defined outputs, not open-ended activity.

  • Article-level readiness scores
  • Generated, editable rewrites
  • Prioritised remediation backlog
  • Controlled bulk improvements
  • Ongoing quality and ownership view

Illustrative business case

A direct route to service improvement

This illustrative business case shows how relatively small improvements in ticket deflection can create meaningful value. Actual results depend on volume, content quality, adoption and process ownership.

100ktickets per year
10%additional deflection
£15–25cost per ticket
£150–250killustrative annual saving

Where it fits

Use this solution when…

  • Now Assist responses are inconsistent or difficult to trust.
  • Knowledge teams face a large or ageing article estate.
  • Self-service adoption is limited by content quality.

READY FOR WHAT’S NEXT?

Talk to our team

Whether you’re planning a transformation, improving an existing technology investment or exploring new capabilities, talk to us about how we can help.

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Manish and Laila discussing work at a table