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A glowing road winds through forested hills at night towards a luminous Zero on the horizon.
ServiceNow AI · Readiness & RunState

How ready are
you to let AI act?

From AI ambition to readiness, action and continuous value.
October 2026
Part of Preparing for the Autonomous EnterpriseCrossfuze · ServiceNow Elite Partner
02
THE PROBLEM

We’ve invested in AI.
Where are the results?

!
CIO

Pilots never reach production

!
Platform Owner

Unreliable data limits AI decisions

!
AI / Knowledge Lead

Knowledge and agents lack clear owners

!
CISO

Unapproved agents expand risk

!
Finance / Procurement

Consumption and value remain uncertain

Five leaders. One question. What can you safely hand over?

81%

of executives believe more AI is running than they can account for.

ServiceNow with ThoughtLab, October 2026 · 550 executives
69%

of organisations suspect or have evidence of prohibited public GenAI use.

Gartner, November 2025 · 302 cybersecurity leaders
03
Your ServiceNow AI Readiness Gap

What’s stopping us from
letting AI do the work?

Can we trust the data, rely on the workflow,
control the action and justify the consumption?

Exhibit 01· The execution gap
Platform AI capability Organisational readiness The ServiceNow AI Readiness Gap THIS IS THE WORK CAPABILITY → 2024 2026 AND BEYOND WHAT THE PLATFORM CAN DO WHAT YOUR OPERATION CAN SAFELY USE ILLUSTRATIVE TRAJECTORY · READINESS VARIES BY ESTATE

ServiceNow AI is ready. The question is whether you are.

Crossfuze assesses readiness across the foundations of data, AI and agents, workflows and governance to identify what must change before autonomy can safely increase.

Open the tools
04
THE ROUTE

What does the path
to value look like?

Three steps. The first two cost nothing. Explore with the tools, find your first outcome in 90 minutes, then deliver it with AI RunState.

01Self-serve toolsAbout ten minutes
Eko, the Crossfuze robot, with a checklist
ServiceNow AI ReadinessAre we ready?
ServiceNow Assist EstimatorWhat might it consume?
02Assess · 90 minutesClear next steps
The AI Readiness Assessment
Where you standWhat needs attentionWhat it may consumeWhere to start
Oliver Nowak, AI Practice Lead, Crossfuze
03Design and executeOutcome-based delivery
Crossfuze AI RunState 12 MONTHS
Plan An AI Action Plan sets the direction
Prioritise Prioritization & Design picks what is next
Deliver Outcome Delivery ships it, in 90-day cycles

Clear next steps in 90 minutes. Outcomes every 90 days.

05
PREPARING FOR THE AUTONOMOUS ENTERPRISE

Autonomy
is earned.

AI makes execution easier. Trust becomes the harder problem.

You prove the data can be trusted. You prove the workflow behaves as expected. You prove the controls work. Then you expand the boundary. Permission to automate is earned.

Oliver Nowak, AI Practice Lead, Crossfuze
Oliver NowakAI Practice LeadCrossfuze

Crossfuze helps you decide what AI is ready to do.

06
THE FOUR FOUNDATIONS

What does AIneed to stand on?

AI that can safely actBuilt on four strong foundations
Foundation 01AI and agents15%of the score
Foundation 02Data20%of the score
Foundation 03Workflows30%of the score
Foundation 04Governance25%of the score

AI can only act on what sits beneath it.

Your weakest foundation
sets your autonomy ceiling.

Named people remain accountable.

07
Your maturity

How ready
are we?

ServiceNow’s Enterprise AI Maturity Index gives the direction. Our evidence determines where our AI readiness actually sits on the five-stage path to greater autonomy. Autonomy becomes practical at stage 03, and each stage is earned by lifting your weakest foundation.

The readiness journey Autonomy becomes practical at stage 03
VALUE ZONE ↑ MATURITY ↑ Autonomous Operations WHERE ARE YOU? 01 Ad Hoc FOUNDATION 02 Manual EXPERIMENTER 03 Un-Siloed SCALER 04 End-to-End ADVANCER 05 Autonomous TRANSFORMER

AI in isolated pockets. Data untrusted, work manual, and no one owns what AI does.

Pilots and assistants in places. Foundations patchy, so a person still checks every AI action.

Foundations connected across teams. Work redesigned so AI can start to act within limits.

Agentic workflows run end to end in production, with owners and controls.

AI predicts, decides and resolves by default. People set the limits and own outcomes.

Crossfuze readiness scale. Stages 02–05 align to the Experimenter, Scaler, Advancer and Transformer stages of the ServiceNow Enterprise AI Maturity Index 2026. The Five Zero outcomes and the Autonomous IT ambition are ServiceNow’s. The readiness scale is Crossfuze’s.
Ready to place yourself? Take the ServiceNow AI Readiness tool
08
THE SCORE

Can we trust the score?

Every AI decision starts with an AI Readiness score. Each dimension is scored against evidence, weighted, and shown with its status, so nobody has to take the number on trust.

Seven weighted dimensions
01
Data qualityData Reliable fields, records and classifications
20%
02
Process determinismWorkflows Decisions, exceptions and rollback understood
15%
03
Knowledge and contentAI and agents Approved, current content to ground answers
15%
04
Workflow and integrationWorkflows The technical estate can run the work end to end
15%
05
Governance and securityGovernance Access, approval, monitoring and stop controls
15%
06
Platform and entitlementEstimator Package and Assist allocation fit the plan
10%
07
Ownership and adoptionGovernance Named owners, real users, capacity to measure
10%
Five anchors, nothing in between
0None
3Weak
5Mixed
8Strong
10Direct

Every score has to be argued from evidence.

Every finding carries a status
ObservedCalculatedInferredAssumedValidatedCorrected

The wording of each finding matches its status.

Gaps stay visible
Full100% of the weight evidenced
ProvisionalAt least 80%, including every 20% dimension
UnavailableOtherwise

Missing evidence is never scored as zero.

The score decides
what happens next.

Not readyFix the limiting foundation first, then reassess.
ReadyDesign the roadmap for the chosen use case. Confirm the required controls before autonomous action.
09
THE BILL

What will AI cost us
as it scales?

The agentic cost paradox. The more AI does, the more it consumes. Readiness decides whether that consumption turns into value or into an unplanned bill.

THREE PACKAGES
AI is included at every level
FoundationAssistedSummarisation, categorisation and task-based help.
AdvancedAgenticAgentic workflows that understand context and automate a whole process.
PrimeAutonomousCustom AI specialists and agents that make decisions with role-based expertise.
Open the Assist Estimator
HOW ASSISTS SCALE
Consumption follows the work, not the seat
25Assists for a narrow run, 0 to 4 tools
50Assists for a run of 5 to 8 tools
150Assists for a wide run, 9 to 20 tools: 6× a narrow run
CROSSFUZE VIEW

We model what your chosen outcome may consume before you commit.

Book your session
Eko, the Crossfuze robot, holding a checklist beside the ServiceNow packages and how Assist consumption scales.

Sources: ServiceNow New Commercial Model Overview, April 2026; ServiceNow assist-consumption guidance, 2026. Entitlements vary by product and package. Assists and Data Fabric credits are separate meters. Total consumption depends on run volume and mix.

10
The delivery problem

Traditional
project plans
don't work for AI.

Readiness tells you what you could do safely. It does not solve the delivery problem. Traditional projects lock decisions in early, make changes expensive and delay value until the end, exactly when the market may already have moved on.

Decided too earlyScope is locked before the platform and the market settle.
Expensive to changeEvery pivot needs a change order, with more cost and more time.
Value arrives lastThe payoff lands at go-live, if it is still relevant.
11
The 18-month trap

Why do most AI visions
stay in the slide deck?

The problem is not a lack of vision. An 18-month fixed-scope project can lock priorities before the market, the platform and the business have finished changing. Each pivot becomes harder, while measurable value arrives late.

The board deckVision and outlook
Slow to commitWrong direction or too slow?Or both.
Dev teamWaiting
ProductionValue never arrives
A traditional AI programme
M0M3M6M9M12M15M18M21
Planning
workshops
18-month project Change orderChange orderGo-live
Frozen priorities

Month 1 decisions drive the outcomes in month 18.

Change orders

Anything new costs extra time and money.

Late ROI

Most of the payoff lands at the end, if it is still relevant.

Outdated on arrival

By go-live, the platform and the market have moved on.

So the vision waits. And the market keeps moving.

12
Introducing CARS
The delivery methodology built for AI

Crossfuze AI
RunState (CARS)

Built for how AI moves. CARS is a delivery service built for AI. It manages your ServiceNow AI Action Plan, prioritises what gets built and delivers it to production every 90 days.

Built for today's challenges
Where should we use AI?AI Action PlanUpdated every 6 months
What do we build next?Prioritization & Design SprintsQuarterly
How do we get it live?Outcome Delivery CyclesContinuous
90MINUTES

It starts from your free 90-minute assessment. Your readiness score, expected Assist usage and prioritised 12-month roadmap become the brief.

One team. One service.
One flat monthly rate.

Board-ready AI Action PlanA strategy leadership can stand behind, in 4 weeks.
Pivot without change ordersPriorities reset every 90 days, at no extra cost.
Innovation every 90 daysSenior advisors and hybrid delivery, working as one team.
13
What you get

What do we get
at every step?

Every step ends in something you can sign off. You make the decisions. We carry the work.

01Step 1 · 4 weeks

Plan.

Leadership decides the role of AI before anyone builds anything.

What you get
12-month incident and request clustering, turned into an AI opportunity and value map
End-to-end agent journey maps with a friction log
Executive AI Action Plan with future-state process and ServiceNow capability map
02Step 2 · Every 90 days

Prioritise.

Priorities updated every quarter, without new paperwork.

What you get
Approved three-month outcome set, capacity plan and signed-off backlog, handed to delivery
Outcomes scored on value, confidence and effort, with a parking-lot register and return points
Build-ready stories with technical feasibility, estimates and a sequenced dependency map
03Step 3 · 90-day cycles

Deliver.

Innovation into production every 90 days.

What you get
80 hours a month of hybrid delivery capacity, led by a dedicated onshore Technical Lead
Sprints, showbacks, peer review and testing to ServiceNow best practice
Release management, production verification and monthly status reporting
04Step 4 · Mid-year

Recalibrate.

Your strategy never goes stale. It is re-tested against what has shipped and what is new, and feeds straight into the next sprint.

Seven chances to pivot in 18 months. No change orders.

A sprint every 90 days, a mid-year recalibration and a fresh AI Action Plan at renewal, while delivery keeps running.

14
THE FIRST 12 MONTHS

What does our
first year look like?

Months 1 to 3 establish the AI Action Plan and approve the first build-ready priorities. Delivery cycles then bring approved changes into production every 90 days, with a mid-year strategy recalibration.

M1M2M3M4M5M6M7M8M9M10M11M12
AI Action Plan4 weeks, recalibrated mid-year
Prioritization & DesignRe-prioritised every 90 days
Outcome Delivery90-day cycles from month 4
Q1Q2Q3Q4
Active month
Recalibrate
Example · one illustrative ITSM year
Months 1 to 3Build an executable plan
  • Kickoff and instance access
  • 4-week AI Action Plan: use cases ranked, baselines set
  • Sprint 1 approves Cycle 1 stories
Cycle 1 · M4 to 6Foundations and first wins
  • Top requests turned into one-click self-service
  • Tickets routed right the first time
  • Password reset automated
  • Now Assist for agents*
Cycle 2 · M7 to 9Ticket volume starts dropping
  • Knowledge rebuilt for top contact drivers
  • Virtual Agent resolving common requests
  • AI Search*
  • Predictive routing to cut reassignments
Cycle 3 · M10 to 12Scale AI across the desk
  • Now Assist extended to more agents*
  • AI agent pilot on a proven use case
  • Gains measured against baselines

One engagement. The effort moves to where the value is.

15
WHO DOES THE WORK, AND WHEN

How do we get started,
and keep going?

One 12-month engagement. Plan in month 1, then prioritise and deliver every 90 days.

Oliver Nowak, AI Practice Lead, CrossfuzeOliver Nowakwith Crossfuze Advisory
01
Plan · Month 14 weeks
AI Action PlanWorkshops, use cases, roadmap
02Prioritise · every 90 daysDesign sprint
Prioritization & Design

Your team sets the priorities. Crossfuze turns them into stories and a three-month capacity plan, ready to build.

03Deliver · 90-day cycles80 hours a month
Outcome Delivery TECHNICAL LEAD
Build Enhancements and new capability
Run Administration, defects and support
Prove Hours tracked, reviewed before acceptance
Your teamOwns the priorities and signs off every cycle
Crossfuze AdvisoryOliver Nowak leads the AI Action Plan and each quarterly reset
Hybrid delivery podA dedicated onshore Technical Lead leads 80 hours of delivery a month

You own the priorities. We ship the outcomes.

Autonomy is earned.

Start by knowing
where you stand.

Book a free 90-minute AI Readiness Assessment. Leave with your readiness score, expected Assist usage and the first outcome worth prioritising.
You decide what comes next.

90 minutes · No cost · Clear next steps

Companion guide: The Road to Zero, five outcomes for Autonomous IT on ServiceNow.

crossfuze.com/campaigns/servicenow-ai-readiness-assessment