Your team already pays for AI.
Most of it isn't touching
real work.

Find where AI fits in five minutes. Then pressure-test what to fund, fix, pilot, defer, or avoid before you buy or build.

01Free AI assessment

know where AI fits

02Value readiness

decide what to fund, fix, or defer

03AI builds

implemented around your work

04AI advisory

ServiceNow strategy and delivery

// TWO TRACKS01

Two ways we help.

ServiceNow AI readiness and advisory. AI implementation with OpenAI, Claude, and other leading platforms.

01SERVICENOW / ADVISORY

ServiceNow AI readiness & advisory

Understand what you have, what you are ready to use, and what should be fixed before the next AI investment or rollout.

  • Assess current and legacy AI products
  • Identify valuable, feasible use cases
  • Set governance and review boundaries
  • Build a practical rollout and renewal plan
Explore the AI Value Readiness Assessment
02AI / IMPLEMENTATION

AI implementations

We build useful AI systems around your files, processes, systems, and team knowledge—with bounded access, human review, and a handoff your team can own.

REAL IMPLEMENTATION / REAL ESTATEScattered folders became queryable operating knowledge.Read the implementation story
  • Searchable working knowledge
  • Repeatable agent workflows
  • Governed system integrations
  • A maintainable system your team owns
Explore AI implementations
WHAT THE WORK LOOKS LIKE

Instance discovery
and cleanup.

Map customizations, owners, risks, and technical debt before work starts — then turn the findings into a review queue your team can act on.

SERVICENOW DELIVERY MAP13,842 OBJECTS SCANNED REVIEW READY
ServiceNow instance topologyA connected map of tables, flows, business rules, scripts, owners, and risks.TABLE87FLOW45BUSINESS RULE312UI ACTION156SCRIPT INCLUDE178SCRIPT206UPDATE SET23ACL389CLIENT SCRIPT142DATA POLICY64OWNER126RISK93
// FOUR WAYS TO WORK TOGETHER02

Start with the decision.
Scale when the evidence holds.

02
FOR LEADERS MAKING AN AI INVESTMENT DECISION

AI Value Readiness Assessment

Make the investment decision before the implementation decision.

A use-case-led assessment for leaders deciding what to fund, fix first, pilot, defer, or avoid across ServiceNow and adjacent AI or automation approaches. Each recommendation is tied to evidence, ownership, operating conditions, and a clear next gate.

03
FOR TEAMS READY TO SHIP

Implementation

We build it with your team.

AI set up on real delivery work — with guardrails and human review points built in. You end with a running workflow your team owns, not a pilot that stalls.

04
FOR TEAMS ALREADY MOVING

Advisory

Ongoing help as you scale.

Regular working sessions with your admins, devs, and leads: reviewing workflows, unblocking rollouts, and training the team as the tools change.

Real work. Human review.
// REAL EXAMPLES, NOT THEORY03

Concrete ServiceNow
examples you can picture.

Practical proof beats AI theater: faster instance understanding, cleaner handoffs, and repeatable AI dev workflows.

EXAMPLE AUTOMATION727stale configs surfaced

Inherited-instance cleanup

A real scan workflow that turns a messy instance into a review-ready starting point.

See the workflow
DAY-1 ORIENTATION60sfirst read

Context before the first change

A fast orientation pass across customizations, risks, owners, and delivery friction.

TEAM HANDOFF1workflow handed off

A system the team keeps

Prompts, documentation, validation steps, and review points packaged for reuse.

OZFREE TOOL
SERVICENOW SDK PLUGIN

Governance for AI dev work,
stopped at the source.

A free plugin for teams using the ServiceNow SDK with AI tools. It puts guardrails around what leaves your instance — so devs get AI in their workflow without sending platform data to third-party AI companies. Free to install and use.

Free plugin: AI in the dev workflow, your data stays in the instance.
Get the plugin
01More dev output

get more from the team and tools you already pay for

02Best-practice guardrails

AI workflows with review points built in

03Workflows that stay

your team keeps running them after the engagement ends

// START WITH THE DECISION05

Start with the decision.
Go deeper only when
the evidence is worth it.

The free AI assessment gives you an initial direction. The AI Value Readiness Assessment turns three to five proposed use cases into evidence-bounded funding and sequencing decisions. If technical verification requires instance access, company files, integrations, or designed testing, that work is scoped explicitly. If the opportunity is ready, OperatorZero can implement it or support your team through rollout. If it is not, the hold decision and prerequisites are still useful.