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NexITC
A2 · AI · 2 WEEKS · ASSESS

Firefighting to measurable operations.
AIOps candidates that pay.

A2 · Ops Scorecard™ is NexITC's 2-week IT Operations baseline for CIOs and IT Ops Heads who need measurable KPIs, named root causes, and an AIOps candidate list — not another maturity rating. Not a monitoring-tool procurement exercise. A five-KPI baseline (MTTR, repeat incidents, change failure, patch health, availability), the top root causes producing the majority of your incident volume, and a 90-day execution backlog with owners and cadence — plus the specific high-ROI AIOps and automation candidates identified from your incident patterns.

DURATION
2 wks
DELIVERABLES
4 named
COMMERCIAL
Fixed fee
A2·PROJECTION / REPEAT INCIDENT RATE
A2
BEFORE
60%
REPEAT INCIDENTS · TOP 5 CAUSES
A2
AFTER
20%
TARGET · POST-EXECUTION
WK 00
WK 01
WK 02
PLAN
90-DAY
KPIs
5-BASELINED
AIOPS CANDIDATES
IDENTIFIED
BACKLOG
90d
SCENARIO · UAE LOGISTICS · N=1
ILLUSTRATIVE
§ 00 · THESIS
01
WHY DASHBOARDS REPORT ACTIVITY
AND MISS OPERATIONS.

Every UAE CIO we have engaged with has an ITSM tool, a monitoring stack, and at least one dashboard reporting weekly activity. What is rarely present when the board asks 'why does IT keep firefighting the same incidents?' is the specific answer — the specific top 5 root causes producing 60% of the incident volume, the specific MTTR trend against target, the specific change failure rate against industry benchmark. Dashboards report activity; boards ask about operations. The two rarely converge without deliberate work between them.

The instinct is to buy another monitoring tool or commission another maturity assessment. The instinct treats different symptoms. What produces measurable operations is baselining the five KPIs that matter (MTTR, repeat incidents, change failure, patch health, availability), naming the top root causes producing the majority of your incident volume, and translating the baseline into a 90-day backlog with owners — plus the specific AIOps and automation candidates that pay for themselves inside a quarter. A2 does that work on a fixed scope in 2 weeks. Firefighting to measurable operations, not another maturity rating.

STATE · FIREFIGHTING
ITSM tool in place. Dashboards report activity weekly. MTTR trending unknown against target. Top root causes unnamed. AIOps discussed as a category, not scoped to specific candidates.
STATE · MEASURED
Five KPIs baselined against target. Top root causes named with evidence. 90-day backlog with named owners. High-ROI AIOps candidates identified with specific incident-pattern rationale.
§ 01 · WORK STREAMS

Six streams,
ending in the 90-day plan signed.

ITSM data extraction and workflow walkthroughs front-load week 1. KPI baselining, root-cause identification, AIOps candidate scoring, and backlog build overlap through week 2. Two phases; six streams tightly sequenced.

STREAM 01
WK 01

ITSM & monitoring data review

Incident, change, and problem records from your ITSM extracted for the last 6–12 months. Monitoring and observability summaries added. Data quality checked before Phase 2 KPI baselining — poor ITSM hygiene extends the timeline, we surface it early.

STREAM 02
WK 01

Workflow walkthroughs

Service Desk, Change, and Incident workflows walked through with the operating teams. Where documented workflow differs from actual practice, actual practice is what we baseline against.

OUTCOME
90-day
BACKLOG SIGNED
+ AIOps CANDIDATES NAMED
STREAM 03
WK 01–02

5-KPI baselining

MTTR (median and P90), repeat incident rate, change failure rate, patch compliance, availability — measured against your actual environment, not vendor-defaulted benchmarks. This is where most engagements do the load-bearing work.

STREAM 04
WK 02

Root cause identification

The top 5 incident families producing the majority of your incident volume — identified from ITSM data, not from workshop opinion. Named with evidence per family (which systems, which teams, which change patterns).

STREAM 05
WK 02

AIOps candidate scoring

High-ROI AIOps and automation candidates identified from incident-pattern analysis. Not a generic AIOps pitch — specific candidates scored on incident-volume reduction potential, integration feasibility, and payback period. Sequenced for the 90-day backlog by ROI, not by ease of implementation.

STREAM 06
WK 02

Backlog signing & executive readout

90-day backlog with named owners and cadence signed with CIO and IT Ops Head. Direct executive readout with the board sponsor. Backlog structured for handover to OpsCommand™ execution or internal team runbook.

EXPLICITLY NOT COVERED
Observability platform selection or implementation
That's B6 Unified Observability + AIOps Build™ — the fixed-scope build engagement for organisations that want to implement the observability stack A2 recommends. A2 identifies gaps in observability coverage; B6 closes them.
AIOps agent build itself
Where A2's AIOps candidate list is ready for immediate build against a specific incident-family use case, B15 Ops Agent Build™ delivers a production-grade ops agent in 90 days. A2 identifies and scores candidates; B15 builds them.
Ongoing IT operations execution
That's C1 OpsCommand™ — sustained managed IT operations executing the backlog with monthly KPI tracking. A2 baselines and produces the plan; C1 executes it continuously.
Application performance or code-level tuning
A2 is scoped to IT Operations discipline — service desk, incident, change, patch. Application-level performance engineering is a different discipline; NexITC handles it through separate scope, not extended into A2.
§ 02 · TIMELINE

Two weeks.
Two phases.

Duration is fixed at 2 weeks. Phase count is fixed at 2. Milestones are signed gates — not aspirations. This is the tightest AssessSKU engagement pattern; scope discipline is what makes it fit.

WK 01WK 02Phase 1 · Data extraction & workflow reviewPhase 2 · KPIs, root causes, AIOps candidatesData extracted · workflows walked throughEND WK 01 · GATE 01KPIs baselined · backlog signedEND WK 02 · GATE 02OPERATING RHYTHMDaily standup · CIO check-in twice-weekly · Practice Lead present at each gateNAMED ACCOUNTABILITYPractice Lead — AI (CEO escalation available)
§ 03 · METHODOLOGY

The baseline,
run on incident evidence not maturity opinion.

Every A2 engagement follows a fixed methodology tuned to your ITSM data in the first two days. Not a maturity model interview; not a vendor procurement exercise. The sequence that produces measurable KPIs and named AIOps candidates in 2 weeks.

METHODOLOGY · SIX STEPS
SEQUENCED · GATED · SIGNED
This is the methodology applied on every A2 engagement — adapted to your ITSM tool and Ops maturity, not reinvented per engagement.
01
ITSM data extraction and quality check
6–12 months of incident, change, and problem records extracted before Phase 2 KPI work begins. ITSM data quality checked upfront — where records are incomplete or categorisation is inconsistent, we surface it early rather than building baselines on shaky data.
02
Workflow walkthroughs against actual practice
Service Desk, Change, and Incident workflows walked through with the operating teams — actual practice, not documented policy. This is where most engagements do the load-bearing work, because dashboards report the ITSM data that reflects actual practice, not the policy that describes intended practice.
03
5-KPI baselining against measurable environment
MTTR (median and P90), repeat incident rate, change failure rate, patch compliance, availability — measured against your actual environment. Not vendor-defaulted benchmarks. If ITSM data does not support a KPI at defensible quality, the baseline is disclosed as data-limited rather than manufactured.
04
Root cause identification from incident patterns
The top 5 incident families producing the majority of your incident volume identified from ITSM data. Named with evidence per family — which systems, which teams, which change patterns. Not from workshop opinion; from the data.
05
AIOps candidate scoring
High-ROI AIOps and automation candidates identified from incident-pattern analysis. Each candidate scored on incident-volume reduction potential, integration feasibility, and payback period. Sequenced by ROI, not ease. Candidates that would deliver value but require investment beyond the 90-day window are named separately.
06
Backlog signing with operating team
90-day backlog with named owners agreed with CIO, IT Ops Head, and (where applicable) Service Desk lead. Cadence set at levels the operating team can sustain — deferred cadence signals the backlog will lapse inside a quarter.
!
DISCLOSURE · INDEPENDENCE
A2 is an assessment, not an ITSM or observability platform selection. The deliverable is a KPI baseline, root cause identification, AIOps candidate list, and 90-day backlog — not a vendor recommendation NexITC benefits from. NexITC works across ITSM platforms (ServiceNow, Jira, Freshservice, others), monitoring/observability stacks (Datadog, Dynatrace, New Relic, open source), and AIOps delivery partners without vendor economics gating the baseline. In practice, we have identified AIOps candidates whose downstream build uses platforms with which we have no commercial arrangement.
§ 04 · EVIDENCE PACK

From dashboards report activity
to operations are measured.

A typical pre-engagement state has multiple dashboards, activity metrics reported weekly, root causes discussed anecdotally, and AIOps mentioned as a category rather than scoped to specific candidates. The engagement produces the evidence base under which the CIO can defend 'this is what we're firefighting and this is what we're going to close in 90 days.'

WITHOUT · T=0
TYPICAL STATE
STATE_01
Multiple ITSM/monitoring dashboards
ACTIVITY · NOT OPERATIONS
STATE_02
MTTR trending unknown against target
REPORTED · NOT BASELINED
STATE_03
Root causes anecdotal
WORKSHOP OPINION
STATE_04
AIOps discussed as category
NO SPECIFIC CANDIDATES
OPERATIONS ANSWER
Dashboard activity + vendor claims + 'we're getting better' — no specific measurable position
OPERATIONAL REALITY
  • Same incident families recurring quarter over quarter without root-cause closure
  • Change failure rate estimated, not measured — reported to leadership as 'improving'
  • AIOps procurement conversations without candidate-specific ROI analysis
  • 90-day operational improvement plans that lapse inside a quarter for lack of owner accountability
A2 · BASELINE
WITH · POST-HANDOVER
TARGET-STATE
PLATFORM_01
5-KPI Baseline & Root Causes
MTTR · Repeat Incidents · Change Failure · Patch Health · Availability — Measured with Named Top-5 Root Causes
PLATFORM_02
90-Day Backlog & AIOps Candidates
Priority-Ordered Backlog · Named Owners · Cadence · High-ROI AIOps Candidates with Incident-Pattern Rationale
↓ EXTRACTED · WALKED · BASELINED · SEQUENCED ↓
ITSM & MONITORING · UNCHANGED
A2 baselines what you have — no platform swap, no monitoring stack redesign. The backlog goes to your team with specifications, not vendor picks
STEADY-STATE OUTCOME
  • Five KPIs baselined against measurable environment with named target trajectories
  • Top 5 root causes named with evidence per family (systems, teams, change patterns)
  • AIOps candidates scored with incident-volume reduction potential and payback period
  • 90-day backlog owned by named counterparts with sustainable cadence

Reference pattern. Some engagements surface that ITSM data quality is the load-bearing issue before KPIs can be meaningfully baselined — the honest output is 'the baselines require data hygiene work first; here are the specific data-quality gaps to close before re-running.' That's a legitimate finding, not a failure. The alternative is manufacturing KPI numbers that would not survive scrutiny at the first monthly review.

§ 05 · REPRESENTATIVE SCENARIO

A UAE logistics operator,
five causes drive sixty percent.

Representative pattern for a UAE logistics or supply-chain operator of this scale — recurring P1 incidents, MTTR exceeding 4 hours, no root-cause visibility across hybrid infrastructure. Ranges reflect target outcomes NexITC underwrites in scope for this class of engagement. N=1 — illustrative composite, not a specific client.

SCENARIO / A2 / UAE LOGISTICS · IT STABILITY BASELINE
DURATION · 02 WKS
ROOT CAUSES NAMED
560%
Top 5 families producing 60% of incident volume
MTTR TARGET
−40%
Reduction target set for first quarter of C1 execution
BACKLOG APPROVED
≤1 WK
CIO sign-off on 90-day plan within a week of readout
SITUATION

A regional UAE logistics operator experienced recurring P1 incidents with MTTR exceeding 4 hours, repeated escalations to senior IT leadership, and no visibility into root causes across hybrid infrastructure spanning warehouse operations, fleet management, and customer-facing tracking. Board asking for a defensible answer to 'why does IT keep firefighting the same problems?' Prior maturity assessment produced a Level 2 rating with no actionable backlog.

ENGAGEMENT

2-week A2. Week 1 ITSM data extraction across 12 months of incident/change/problem records and workflow walkthroughs with Service Desk, Change, and Infrastructure teams. Week 2 5-KPI baselining (MTTR median 4.2 hours, repeat incident rate 60% from top 5 families, change failure rate 22%, patch compliance 71%, availability 99.4%), root cause identification for the top 5 incident families (three concentrated in the fleet management stack), AIOps candidate scoring (four high-ROI candidates identified for incident triage automation and change risk prediction), and direct CIO/board readout.

OUTCOME

Top 5 root causes named with system-level evidence — three concentrated in fleet management stack, two in warehouse operations. 90-day backlog approved by CIO within one week of readout with named owners across the three affected system domains. Four AIOps candidates prioritised, with the first (incident triage automation for the fleet management incident family) transitioned to B15 Ops Agent Build™ for 90-day production build. Operator transitioned to C1 OpsCommand™ for sustained backlog execution with MTTR reduction target of 40% for first quarter.

§ 06 · DELIVERABLES

Four artifacts,
each with signed acceptance.

Every deliverable has documented acceptance criteria signed at engagement kickoff. Nothing more, nothing less.

D_01

Ops Maturity & Risk Heatmap

Not a Level 1–5 rating. A domain-specific heatmap covering service desk performance, incident/change/problem process discipline, patch and vulnerability aging, and observability coverage — with named risks per domain.

D_02

5-KPI Baseline Dashboard Definitions

MTTR (median and P90), repeat incident rate, change failure rate, patch compliance, availability — measured against your actual environment with named target trajectories. Definitions and calculation methods documented for ongoing measurement.

D_03 · CORE

Top Root Causes & AIOps Candidate Scoring

The top 5 incident families producing the majority of your incident volume with system-level evidence per family. Paired with high-ROI AIOps and automation candidates scored on incident-volume reduction potential, integration feasibility, and payback period.

D_04 · BACKLOG-READY

90-Day Prioritized Backlog with Named Owners & Cadence

Priority-ordered 90-day backlog with named owners per initiative, cadence model sustainable by the operating team post-handover, and sequencing by root-cause reduction impact rather than ease of implementation. Includes AIOps candidate sequencing (which candidates go into the 90-day window, which are named for the next cycle). The document the CIO takes into the operating cadence and the sponsor takes to the board — not a shelf-ware plan that lapses inside a quarter.

HANDOVER
WK 02
§ 07 · OUTCOMES

Six outcome metrics,
measured pre and post.

Success is not "the assessment happened." It is measured against six specific outcomes captured at engagement start, at handover, and at 30/60/90-day check-ins during downstream execution.

THE REPEAT-INCIDENT REDUCTION JOURNEY · REPRESENTATIVE
Sixty percent to twenty, across the plan.
60→20%REPEAT INCIDENTS ↓
60%45%30%15%060%BaselinePRE-ENGAGEMENT60%Root causes namedHANDOVER45%30-day executionHANDOVER + 30D20%90-day targetHANDOVER + 90D
01 · MTTR
BASELINED
Median and P90 measured against actual environment with named target trajectories.
02 · REPEAT INCIDENTS
TOP 5
Top 5 root causes named with system-level evidence per family.
03 · CHANGE FAILURE
MEASURED
Failure rate baselined with named remediation for the highest-failing change categories.
04 · PATCH HEALTH
AGED
Compliance % measured with aging trend by severity and named remediation cadence.
05 · AIOPS CANDIDATES
SCORED
High-ROI candidates named with incident-pattern rationale and payback period.
06 · BACKLOG
OWNED
90-day backlog with named counterparts, cadence agreed at sustainable levels.
§ 08 · FIT

Honest scoping.

A2 is a fit when specific conditions are met. It is not a fit when other conditions are — and "ITSM data hygiene is the load-bearing gap before KPIs can be baselined" is a legitimate finding we surface early rather than absorb into scope.

PREREQUISITES
Move fast when these five conditions are in place at kickoff.
01
CIO or IT Operations Head as counterpart

Signs off scope, KPI baseline, root cause identification, and 90-day backlog. Typically 25% time commitment through the 2-week engagement.

02
ITSM data access for 6–12 months of records

Incident, change, and problem record export from your ITSM (ServiceNow, Jira, Freshservice, or equivalent). Access negotiation post-kickoff extends timeline; sort it up front.

03
Service Desk and Infrastructure team availability for workflow walkthroughs

Phase 1 depends on 60–90 minute walkthroughs with the teams operating the workflows. Without scheduling commitment, Phase 2 KPI baselining loses evidence quality.

04
Monitoring / observability access where available

Read-only access to Datadog, Dynatrace, Prometheus, or equivalent for correlation with ITSM data. Not required — assessments run without it — but accelerates root cause identification when present.

05
90-day execution appetite

Backlog appetite agreed at commitment level (not exact figure). Without appetite, even signed backlogs become unfunded — filed, not delivered.

NOT SUITABLE IF
Four patterns indicate a different engagement is a better fit.
You want observability platform implementation, not the plan for it

That's B6 Unified Observability + AIOps Build™ — fixed-scope build for the observability stack A2 recommends. A2 identifies gaps in observability coverage; B6 closes them. Sequence: A2 → B6 when the plan needs definition first; B6 directly when the platform decision is already made.

You want an AIOps agent build, not the candidate identification

That's B15 Ops Agent Build™ — production-grade ops agent build in 90 days against a specific incident-family use case. A2 identifies and scores candidates; B15 builds them. Sequence: A2 → B15 when candidate scoring is needed first.

You want ongoing IT operations execution

That's C1 OpsCommand™ — sustained managed IT operations executing the backlog with monthly KPI tracking. A2 baselines and plans; C1 executes.

You need security posture assessment, not operational baseline

That's A4 Security Posture Scorecard™ — 2-week zero-trust readiness baseline for CISO/CIO board defence. Different domain, different KPIs, different backlog focus. Some organisations sequence A4 and A2 within the same annual cycle when both drivers apply.

§ 09 · COMMERCIAL

Fixed fee.
Milestone-based. No surprises.

Every A-tier engagement is scoped and priced upfront against defined deliverables. Milestones tied to signed gates. Change orders negotiated through the Practice Lead, not surfaced as invoice surprises.

COMMERCIAL MODEL
ENGAGEMENT MODEL
Fixed fee, milestone-based
PAYMENT SCHEDULE
Milestone-based

Payment schedule aligned to engagement phases and defined delivery milestones agreed upfront.


INCLUDED IN SCOPE
  • All 4 named deliverables with acceptance criteria
  • Weekly executive sponsor review
  • Practice Lead present at every phase gate
  • Executive readout at handover
  • Evidence pack and stakeholder map
  • 30/60/90-day post-handover check-ins
01

Scoped upfront

No hourly billing. No open-ended scope. Everything priced against deliverables signed at kickoff.

02

Milestone-gated

Payment tied to phase gates, not calendar. If a gate slips, invoicing slips with it.

03

Change orders authorised

Practice Lead has authority to negotiate scope amendments in the same conversation, not through a separate commercial cycle.

§ 10 · QUESTIONS

Five, most asked.

Q_01How is this different from a general IT maturity assessment?

General maturity assessments produce a rating (Level 2, Level 3, a heatmap). They rarely produce work someone owns the next Monday.

A2 produces the opposite: measured KPIs baselined against your actual environment, root causes named with evidence, AIOps candidates scored with payback periods, and a 90-day backlog owned by named counterparts. No Level rating. The rating question doesn't move a business forward; the measurable baseline and owned backlog do.

Q_02What ITSM data do you need?
6–12 months of incident, change, and problem records exported from your ITSM (ServiceNow, Jira, Freshservice, or equivalent) — anonymised as needed for privacy. Monitoring and observability summaries where available (Datadog, Dynatrace, Prometheus, or equivalent). Short stakeholder interviews with Service Desk, Change, and Infrastructure teams. Where ITSM data quality is the load-bearing issue, we surface it in Phase 1 rather than baselining on shaky data.
Q_03Does A2 cover cloud or hybrid environments?
Yes. The 5-KPI baseline applies across on-premises, cloud, and hybrid environments where operational data is available. Cloud-specific observability adds evidence quality where cloud-native monitoring is in place. Multi-cloud environments assessed with the same scoring frame — cloud-adjacent evidence not treated as a separate discipline within A2's 2-week duration.
Q_04Do you include AIOps recommendations?
Yes — and it is a differentiator, not a side output. A2 identifies specific high-ROI AIOps and automation candidates from your incident patterns. Each candidate scored on incident-volume reduction potential, integration feasibility, and payback period. Candidates that would deliver value but require investment beyond the 90-day window are named separately. Where a candidate is ready for immediate build, sequence transitions to B15 Ops Agent Build™ directly.
Q_05What comes after A2?
Three paths depending on scope. C1 OpsCommand™ executes the 90-day backlog with sustained managed IT operations — the primary next step for organisations without internal capacity to execute the backlog. B6 Unified Observability + AIOps Build™ closes observability coverage gaps A2 identified when the observability stack is the load-bearing gap. B15 Ops Agent Build™ builds a production-grade ops agent against a specific AIOps candidate from A2's scoring — sensible when one candidate has clear ROI and the organisation wants immediate agent delivery.
§ 11 · NAMED ACCOUNTABILITY

One name.
Six accountabilities.

Specialist consulting means the person who scopes the work is the person who delivers it — with escalation to CEO on any material issue within 24 hours.

THE ROLE

Practice Lead — AI

Present at every phase gate, every scope decision, every difficult conversation. Available for 30/60/90-day post-handover check-ins as part of the engagement.

SIX ACCOUNTABILITIES
01
Commercial arrangement

Including scope amendments.

02
Deliverables acceptance

Signs off all 4 deliverables.

03
Weekly reviews

With executive sponsor.

04
Change orders

Authorised to negotiate.

05
Escalation path

CEO within 24 hours.

06
Post-handover

30/60/90-day check-ins.

§ 13 · BOOK A CLINIC

30 minutes.
One operations question.

Bring the specific operations question blocking your board conversation — MTTR trend uncertainty, repeat incident families unnamed, AIOps procurement without candidate scoring, change failure rate estimated rather than measured. A2 is scoped in the clinic — ITSM access, sponsor, timeline, prerequisites. If A2 is not the fit (observability build needed directly, or ITSM data hygiene must precede baselining), the clinic surfaces the honest alternative.

CLINIC · A2
  • ITSM access confirmation
  • Cloud/hybrid environment scope check
  • CIO/Ops Head availability
  • Fit assessment against A4, B6, C1
Practice Lead — AI attends every clinic.