Every UAE organisation that has attempted an AI pilot or a modern reporting programme in the last three years arrives at NexITC with a version of the same story. The AI model was trained, the report was built, the executive review scheduled. What surfaced in the review was not a model failure or a reporting bug. It was a disagreement about what the numbers meant — whose customer count is authoritative, why finance's revenue differs from ops's revenue, which definition of 'active' the model used. The pilot stalls in a meeting that was supposed to celebrate its results.
The instinct is to fix the model, the report, or the dashboard. The instinct is expensive and it treats a symptom. What produces trusted reporting and unblocked AI is establishing data trust in one domain — signed definitions, measured quality baselines, remediation with named owners, and dashboards the business actually consults. A6 does that work on a fixed scope in 2–3 weeks. The honest deliverable is a small trusted foundation the next engagement can build on, not a maturity model rating you can put on a slide.
Six streams,
ending in one domain trusted.
Domain scoping and definition alignment front-load week 1. Quality profiling and rules design run through week 2. Dashboards and backlog handoff close week 3.
Domain scoping
The one domain in scope agreed with business sponsor. Assets, KPIs, source systems catalogued. Downstream use cases (reporting, AI) named explicitly. Signed before Phase 2.
Definition alignment
Cross-department KPI reconciliation. Dispute sources catalogued. Definitions rewritten to one version, signed by the departments that had different versions.
Quality profiling
Completeness, accuracy, freshness measured across representative sample data — not vendor-defaulted metrics. Baseline scores established for post-engagement measurement.
Rules & SLAs
Quality rules keyed to actual production data patterns. SLA thresholds set against realistic operating envelope. Not aspirational metrics — measurable ones.
Baseline dashboards
The dashboards the business actually consults. Designed with the operations team, not for them. Executive summary card that surfaces to the sponsor's regular review.
Backlog handoff
60-day remediation backlog with named owners and priority ordering. Not a wish list — a work plan the data lead can start executing on day one post-handover.
Three weeks maximum.
Two minimum. Three phases.
Phase count is fixed. Duration flexes with domain complexity, source-system count, and the number of departments requiring definition reconciliation. Milestones are signed gates — not aspirations.
The assessment,
run on evidence not workshops.
Every engagement follows a fixed methodology tuned to your domain in the first three days. Not a workshop-driven sprint; not a maturity-model interview. The sequence that produces signed definitions, measured baselines, and an owned backlog in 2–3 weeks.
From vendor-deck decisions
to signed foundation.
A typical pre-engagement state has decisions made from vendor decks and gut feel, monthly reporting reconciliation as a fact of life, and AI pilots stalled at the data trust conversation. The engagement produces the evidence pack under decisions the sponsor and the board can actually defend.
Reference pattern. Some engagements produce a smaller-than-expected backlog — the honest output is 'the data was in better shape than we thought.' That's a legitimate deliverable, not a failure. The alternative is manufacturing findings to justify invoice size.
A utility grid operations domain,
definitions signed.
Representative pattern for a UAE utility of this scale — grid asset data across multiple departments, conflicting KPI definitions, AI pilot blocked at data trust. Ranges reflect target outcomes NexITC underwrites in scope for this class of engagement. N=1 — illustrative composite, not a specific client.
Five artifacts,
each with signed acceptance.
Every deliverable has documented acceptance criteria signed at engagement kickoff. Nothing more, nothing less.
Domain Dictionary & Owners
KPI definitions reconciled across departments, signed by the departments that had different versions. RACI for domain ownership, not just a stakeholder map.
Quality Rules Library
Rules keyed to your operating envelope, not lifted from framework templates. Executable against your source systems, not shelf-ware.
SLA Thresholds & Framework
Completeness, accuracy, freshness SLAs set at levels the business can actually maintain — realistic, not aspirational. Measurement cadence agreed.
Remediation Workflow
How quality alerts route to owners, how backlogs get worked, how exceptions get governed. The operating pattern, not a policy document.
Dashboards & 60-Day Remediation Backlog
The dashboards the business actually consults, designed with the operations team, with an executive summary card that surfaces to the sponsor's regular review. Paired with a 60-day priority-ordered remediation backlog owned by named counterparts — the work plan the data lead starts executing on day one post-handover, not a wish list to be prioritised later.
Six outcome metrics,
measured pre and post.
Success is not "the assessment was delivered." It is measured against six specific outcomes captured in a baseline at engagement start and re-measured at the first monthly cycle post-handover.
Honest scoping.
A6 is a fit when specific conditions are met. It is not a fit when other conditions are — and "you don't need this engagement" is a legitimate not-a-fit answer. We say so before the scope conversation, not after the commercial commitment.
The domain in scope agreed with a business sponsor who owns the KPIs. If domain choice is genuinely undecided, sequence that decision first — A6 does not scope itself.
Signs off definitions, rules, SLAs, and the backlog. Typically 40% time commitment through the 2–3 week engagement.
Read-only sample-data access agreed with system owners before Phase 2. Access negotiation post-kickoff extends the timeline; sort it up front.
Above six, the engagement is either a longer duration or a different scope. Six is the ceiling for what A6 profiles credibly in 2–3 weeks.
The definition reconciliation is the load-bearing work. If departments won't engage with dispute resolution, A6 doesn't fix that — sequence the conversation first.
That's B4 Data Platform Foundation Sprint™ — one domain end-to-end with platform, pipelines, quality automation. A6 establishes trust foundations; B4 builds the platform.
A6 is deliberately domain-scoped. Enterprise-wide governance is a different engagement class — sensible after 2–3 A6 engagements establish the pattern in different domains.
That's C3 DataReliability™ Managed or C4 DataOpsCommand™ — continuous SLA management, remediation cadence, quality releases. A6 hands over a working baseline; keeping it tuned is a Run-tier discipline.
A6 exists to unblock reporting or AI work. If no downstream use case exists, the deliverable would be filed and forgotten. Consider deferring until a use case is real.
Fixed fee.
Milestone-based.
Total engagement fee agreed in the scope statement. Not time-and-materials. Not day rate. Every engagement is preceded by a scope conversation to ensure fit before commitment.
Five, most asked.
Q_01How is this different from a data maturity assessment?
Maturity assessments produce a rating — Level 2, Level 3, a heatmap on a slide. They rarely produce work someone owns the next Monday.
A6 produces the opposite: signed definitions, measured baselines, dashboards live, backlog owned. No maturity rating, no heatmap. The rating question doesn't move a business forward; the signed foundation does.
Q_02Why only one domain? Can we do enterprise-wide?
Q_03What if the departments won't agree on definitions?
Q_04Do we need this before a data platform engagement?
Q_05What comes after A6?
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.
Practice Lead — Cloud/Edge
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.
Including scope amendments.
Signs off all 5 deliverables.
With executive sponsor.
Authorised to negotiate.
CEO within 24 hours.
30/60/90-day check-ins.
Peer. Next.
Ops Scorecard™
Peer 2-week assessment for IT operations baselining — different domain from A6's data trust focus. Sometimes sequenced with A6 for organisations addressing both data and ops readiness before a broader modernisation programme.
Data Platform Foundation Sprint™
The natural build engagement after A6. Platforms the domain end-to-end using A6's signed definitions, quality baselines, and remediation backlog as direct scope input. Same one-domain discipline scaled to platform.
DataReliability™ Managed
Alternative next engagement — operates the SLAs A6 established as an ongoing managed service. Sensible when the platform decision is deferred or when the domain's operating pattern doesn't yet justify B4's investment.
30 minutes.
One data trust question.
Bring the specific data trust conversation blocking your reporting or AI programme. A6 is scoped in the clinic — domain, sponsor, timeline, prerequisites. If A6 isn't the fit, the clinic surfaces which engagement is (or whether the honest answer is no engagement needed).
- —Domain scope confirmation
- —Sponsor and counterpart identification
- —Timeline and prerequisite check
- —Fit assessment against alternatives