NexITC offers 47 productized IT consulting services organized into five technology domains (AI, Cybersecurity, Cloud/Edge, IoT, Blockchain) and four commercial tiers (Entry, Build, Run, Expand). Every service has a fixed scope, a fixed duration, and named accountability. UAE-resident delivery from Abu Dhabi.
Coverage map
The practice at a glance
47 productized engagements across five technology domains and four commercial tiers. Density is honest: where a cell is empty, we have nothing to sell. 9 engagements carry a published case study, marked with a Mercury dot.
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The practice at a glance
Hover or Tab through the matrix. Each hex is one intersection of a technology domain and a commercial tier; each node inside it is one productized engagement. Mercury dots mark engagements with published case studies.
NexITC productized engagements by technology domain and commercial tier
Tier
AI
Cybersecurity
Cloud/Edge
IoT
Blockchain
Assess
6 engagements: A1 Boardroom-to-Backlog™; A2 Ops Scorecard™; A5 AI Use-Case Due Diligence™ (case study available); A9 AI Safety & Red-Teaming Sprint™; A11 Agentic AI Readiness & Use-Case Discovery (case study available); A13 CAIO-in-a-Box™
A1. Boardroom-to-Backlog™ turns executive AI ambition into a governed portfolio of ranked, funded pilots. Not a leadership offsite. A structured 3–4 week program with signed pilot charters, governance guardrails, and the backlog your CFO can defend.
A2. Ops Scorecard™ baselines IT operations against MTTR, repeat incidents, change failure, and patch currency in two weeks. Not a maturity model. A 90-day improvement backlog with owners named against every finding, ready for immediate execution.
A5. AI Use-Case Due Diligence™ produces a go/no-go verdict on candidate AI and agentic AI use cases in three weeks — data readiness, risk controls, KPI pack, and pilot charter. Not a business case template. The evidence base that separates use cases worth funding from ones that will stall in production.
A9. AI Safety & Red-Teaming Sprint™ stress-tests LLMs and AI agents for prompt injection, jailbreaking, data poisoning, and adversarial robustness. Not a vulnerability scanner. Adversarial testing by hand against your actual system and its actual workflows, with a remediation backlog and safety baseline your CISO can defend.
A11. Agentic AI Readiness & Use-Case Discovery identifies high-value agentic AI use cases and scores regulatory and platform readiness against UAE government and federal mandates. Not an awareness workshop. A 3-week discovery producing a 90-day execution backlog aligned to the Agentic AI Mandate and the platform choices that follow.
A13. CAIO-in-a-Box™ is a packaged 3-week enablement for Chief AI Officers and federal entities executing the UAE Agentic AI Mandate — use-case portfolio, governance pack, training curriculum, and signed pilot charters. Not a training programme. The delivery infrastructure that turns the mandate into shipped commitments before the next quarterly review.
B7. ITSM-integrated AI triage with KnowledgeOps governance and measurable deflection dashboards. First-contact resolution as SLA, not aspiration. 6-10 weeks, four deliverables, fixed fee.
C1. OpsCommand™ runs KPI-driven managed IT operations — scorecards, cadences, runbooks, and quarterly reliability releases. Not a staff augmentation retainer. The operating discipline that makes MTTR, change failure rate, and repeat-incident count trend the right direction without adding headcount internally.
C2. CoE-as-a-Service™ runs a governed AI operating model — intake, stage gates, evaluation, agent registry governance, and quarterly AI/agent releases. Not an advisory retainer. The Centre of Excellence that operates while the internal team is being built, then hands over when it's ready.
C8. MLOpsRun™ operates ML in production with drift monitoring, retraining cadence, evaluation gates, and release governance. Not a model-babysitter. The operating discipline that catches model degradation before the business team does, with the audit trail every regulated deployment eventually needs.
C9. Managed Agent Operations runs production AI agents continuously — observability, drift detection, evaluation, retraining, audit logging, and incident response. Not agent monitoring dashboards. The operational layer that keeps agents safe, accurate, and aligned once they're doing real work under real business load.
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