Know what you're entitled to — then make the AI earn its keep

    Two things happen at once in most SPM estates: teams design around features they are not licensed for, and paid-for AI capability sits switched off. Both come from the same root cause — nobody has mapped entitlements to a delivery roadmap.

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    What this looks like today

    • Nobody internally can state confidently what your SPM subscription includes.
    • Solution designs assume capabilities that turn out to need a licence upgrade.
    • Now Assist appears on the invoice but is not enabled anywhere in SPM.
    • AI was switched on quickly, produced questionable summaries, and lost credibility.
    • There is no policy for how AI-generated content is reviewed before executives see it.

    Why it keeps happening

    ServiceNow packaging evolves release to release, and entitlement detail lives in contracts that delivery teams rarely see. So design decisions get made on assumption, and the gap surfaces late — usually at the worst possible moment in a programme.

    AI enablement fails for a different reason: it gets applied to unreliable data. Summarising a portfolio whose status fields are stale produces a fluent, confident, wrong summary — and one bad executive experience sets AI adoption back a year.

    There is also no ownership model. Without defined boundaries for what AI may draft and who approves it, sensible teams avoid using it at all.

    How LivTeq fixes it

    Scoped and led by Chief Technical Architects and senior ServiceNow consultants with hands-on SPM delivery experience.

    01

    Entitlement review against your contract

    We map your actual ServiceNow SPM entitlements and current release against the capabilities you want, producing a clear list of what is available now and what requires a commercial conversation.

    02

    Data readiness check

    AI is only as good as the portfolio data underneath it. We assess status data quality, intake consistency, and financial completeness before enabling summarization or signals.

    03

    Sequenced use case roadmap

    Start with out-of-the-box use cases that remove manual effort — status summarization, intake triage, duplicate detection, risk signals — before considering custom AI work.

    04

    Custom Now Assist use cases

    Where a genuine gap remains, we build tailored AI use cases for your governance model as part of our Transformation tier, with evaluation criteria defined up front.

    05

    Human-in-the-loop governance

    Explicit rules on what AI may draft, how AI-assisted content is labelled, and who approves it before it reaches a steering committee.

    06

    Adoption and measurement

    Track whether each AI use case actually reduces effort or improves decision speed, and retire the ones that do not. AI features are held to the same standard as any other capability.

    What you end up with

    A documented view of your SPM entitlements mapped to capability plans
    Paid-for AI capability enabled instead of sitting idle
    Data quality good enough for AI output to be trusted
    A prioritised AI use case roadmap tied to governance pain
    Clear human-in-the-loop rules for AI-assisted portfolio content
    Design decisions that no longer assume features you do not own

    Frequently Asked Questions

    Talk to an SPM specialist

    Bring your current state — however messy. We will tell you what is fixable in weeks and what genuinely needs a programme.

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