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Case study 09 · Global identity and security technology leader

Five opportunities ready to fund, from a 4 to 6 week discovery

Global identity and security technology leader. Client anonymized under NDA.

IAC.ai: Five opportunities ready to fund, from a 4 to 6 week discovery

The case at a glance

The situation, what we did, and the result.

IAC.ai: Five opportunities ready to fund, from a 4 to 6 week discovery
The client situation

The challenge

No shared AI roadmap. Service ticketing was manual. Self-healing and knowledge management were weak.

IAC.ai: The Opportunity Radar shows every idea on one page
What we did

Our work

  • A 360° assessment, sponsored by a senior vice president
  • Three themes: self-healing and SLA, service ticketing, AI knowledge base
  • Business cases and a roadmap, ready for Build, Implement & Deploy
IAC.ai: The value of all nine case studies, on one page
The result

What the client got

5opportunities ready to fund
3themes assessed
4 to 6 weeksof discovery
1roadmap for the group

Client anonymized under NDA. Figures are the scope and results of the discovery.

The method

360 Discovery for IT: from ticket data to a plan, in the same four stages.

IAC.ai: Our data-driven method: from your ticket data to a plan
1
Stages 1 and 2 · Assess and collectFind the point where operations come together, and collect the data

Business and IT views in one place: strategy, processes, applications, information and technology.

2
Stage 3 · AnalyzeAnalyze the data with data science

High-volume tickets analyzed in depth. Machine learning and other techniques look for patterns, noise and meaning.

3
Stage 3 · PrioritizeMap to our automation use case library

Patterns matched to 1,000+ use cases across sectors and functions.

4
Stage 4 · PlanBuild the solution on what is already owned

A roadmap with timeline and automation maturity, reusing the tools already in place.

Data first, then use cases, then a plan.

In detail

Every 360 Discovery runs the same four stages, with one decision at the end.

IAC.ai: Stage 1: Assess environment
Stage 1

Assess environment

Who: Executive sponsor, Finance lead, function heads

Output: Agreed scope, success measures, stakeholder map and discovery plan.

IAC.ai: Stage 2: Data collection
Stage 2

Data collection

Who: Function heads, process owners, IT

Output: Current-state assessment, initiative inventory and baseline evidence.

IAC.ai: Stage 3: Analyze & prioritize
Stage 3

Analyze and prioritize

Who: Function leads

Output: Market-informed opportunity portfolio and prioritized shortlist.

IAC.ai: Stage 4: Business case & plan
Stage 4

Business case and plan

Who: Executive sponsor and Finance

Output: Selected business cases, phased roadmap and executive readout.

Who this fits and how to start

Who this case fits, why clients pick us, and the usual way to start.

Who this fits

  • Technology companies with complex service operations, that must prioritize AI before they commit to build.
  • Leaders who want a structured, outside-in view of AI and automation across several business lines.

Why us

  • Senior-led, outside-in discovery, with sector benchmarks and 1,000+ proven use cases. Not a generic workshop.
  • Service operations, AI, data and orchestration in one assessment.
  • Business cases ready to fund and a prioritized roadmap, not just observations.

Typical entry point

  • 360 Discovery on 3 to 5 business priorities: 4 to 8 weeks of IAC effort.
  • Prioritized use cases with business cases, solution outlines and pilot definition.
  • A clear bridge into Build, Implement & Deploy, with defined statements of work.
IAC.ai: 360 Discovery: four stages, one investment decision
The offer behind this result1.1 360 Discovery

4 to 8 weeks of IAC effort over about 3 months. About 14 days of your team’s time. One decision per initiative, backed by a business case.

We advise you
Steps we owned
DiscoverDecideBuildGo liveRun & improve
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