Every UAE enterprise IT organisation we work with has an AI pilot graveyard. Ten POCs that demoed well and never left the innovation lab. Two production efforts that went live and got quietly rolled back. The pattern is always the same: pilots built without KPIs, without guardrails, without runbooks, without a plan for the day after the demo.
The instinct is to demand more pilots, or better pilots, or bigger pilots. The instinct is wrong. What is missing is not enthusiasm — it is delivery discipline. B1 treats a pilot as a production engagement from day one: measurable KPIs, RBAC and audit controls, evaluation harness, monitoring, and a scale plan. Two pilots built this way in 8–12 weeks are worth more than twenty POCs that never leave the lab.
Six streams,
ending in governed pilots.
Charter and integrations front-load in weeks 1–3. Build and evaluation overlap through weeks 4–9. UAT, runbooks, and scale planning close weeks 10–12.
Pilot charter
Business owner named. KPIs committed in writing. Guardrail requirements agreed (RBAC, audit, approvals, kill-switch). Data access and integration approvals secured.
Integration & data access
Source-system access wired: read from ERP, CRM, ITSM, data lake as scoped. Data quality baseline established. PDPL residency confirmed for any pilot processing personal data.
Build
Model or agent built to charter. Prompt/model iteration against evaluation harness. Guardrails wired throughout — not bolted on afterwards. Configuration-as-code from day one.
Evaluation harness
Automated evaluation against agreed KPIs. Gold-standard test set curated with business owner. Threshold gates for hallucination, bias, and unsafe outputs. Run at every build.
UAT & Ops readiness
User acceptance testing with the pilot population. Runbooks written for the three most likely failure modes. Monitoring dashboard live. Rollback procedure rehearsed.
Handover & scale plan
Structured handover to the business owner's team (4–6 sessions). Scale plan written: what the pilot proved, what needs to change to scale, what it will cost. Board-ready.
Twelve weeks maximum.
Eight minimum. Four phases.
Phase count is fixed. Duration flexes with data-access setup time, integration complexity, and pilot count (1 or 2). Milestones are signed gates — not aspirations.
Use cases scored,
not on executive enthusiasm.
Every candidate pilot use case runs a six-criteria scorecard in weeks 1–2. Each criterion scored 1–5 with documented evidence. Signed by the business owner before Phase 2 begins.
From ungoverned POCs
to governed pilots.
A typical UAE enterprise arrives with several innovation-lab POCs running on unmanaged notebooks, hardcoded credentials, and no monitoring. The engagement establishes the delivery control plane every pilot inherits.
Reference pattern. Some pilots retain a small pre-production notebook environment for continued experimentation alongside the governed pilot. What always changes is that anything reaching real users passes through the delivery control plane.
An insurance claims
pilot, measured.
Representative pattern for a UAE insurer of this scale — 1.2M active policies, 900-person claims operation. 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.
Pilot Solution
Production-grade pilot for 1–2 use cases. RBAC, audit, evaluation harness, monitoring — all wired from day one. Configuration-as-code handed over.
KPI Dashboard
Business owner dashboard reporting the agreed KPIs from day one of pilot use. Not built after the demo — instrumented during build.
Guardrails Pack
RBAC configuration, audit log spec, approval workflow, kill-switch procedure, evaluation-harness threshold gates. The document compliance signs off.
Ops Readiness Pack
Runbooks for the three most likely failure modes, monitoring dashboard spec, rollback procedure rehearsed with the ops team.
Scale Plan
What the pilot proved, what needs to change to scale, what it will cost, and what the risks are. Written for the board, not the innovation lab. This is the deliverable that decides whether the second engagement happens.
Six outcome metrics,
measured pre and post.
Success is not “the pilot ran.” It is measured against six specific outcomes captured in a baseline report at engagement start and re-measured at pilot steady state.
Honest scoping.
B1 is a fit when specific conditions are met. It is not a fit when other conditions are. We say so before the scope conversation, not after the commercial commitment.
Business owner committed. KPIs proposed. Data access in principle agreed. If none of these exist, [[A11|A11 Agentic AI Readiness & Use-Case Discovery]] runs first.
Signs off charter, evaluation gates, UAT. Typically 30% time commitment across the engagement.
Legal and PDPL sign-off obtained. If personal data is involved, DPIA scoped. Access delays are the most common cause of B1 timeline slippage.
ERP, CRM, ITSM, data lake — whatever the pilot reads from. If access is complex, extend timeline or narrow scope.
Someone who can defend the pilot when the business owner is on leave or reassigned. Pilots without executive cover stall.
No validated use case yet. Start with A11 Agentic AI Readiness & Use-Case Discovery or A1 Boardroom-to-Backlog™.
Bring B3 MLOps Factory™ alongside B1 — MLOps is not in B1's scope by default.
That is C2 CoE-as-a-Service™ — Run-tier scaling, not Build-tier delivery.
Eight weeks is our minimum. We can accelerate discovery into A11 to produce the charter within 2 weeks, then B1 begins with Phase 2.
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_01Is a pilot really production-grade at 8–12 weeks?
Q_02What KPIs do you commit to before the engagement starts?
Q_03What happens if the pilot doesn't meet its KPIs?
Q_04Can we do 2 pilots in parallel within the same engagement?
Yes — the standard scope is 1–2 pilots. Two parallel pilots typically extend the engagement to the upper end of the 8–12 week range and require additional client-side stakeholder time (each pilot needs its own business owner).
If the two pilots share infrastructure or data foundations, we run them as coordinated workstreams. If they are unrelated, we run them as two independent tracks with a shared Practice Lead.
Q_05What comes after pilots succeed?
One name
on the engagement letter.
A named Practice Lead is accountable for delivery, commercial outcomes, and the client relationship throughout the engagement. Not a project manager who disappears after kickoff. Not a partner who nods at the SOW and vanishes.
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.
Including scope amendments.
Signs off all 5 deliverables.
With executive sponsor.
Authorised to negotiate.
CEO within 24 hours.
30/60/90-day check-ins.
Prior. Peer. Next.
Agentic AI Readiness & Use-Case Discovery
3-week discovery that produces the validated use-case shortlist and pilot charters. Sensible if AI investment case still needs building.
Agentic Workflow Agent Build™
Peer AI build for organisations that already know the pilot shape they want and need agentic execution with approval gates.
CoE-as-a-Service™
Managed AI CoE. After 1–2 successful pilots, C2 scales delivery, governance, and operating rhythm across an AI portfolio.
Thirty minutes.
No slide deck.
A structured 30-minute scope conversation with the Practice Lead. You describe the current pilot pipeline, business case, and organisational pressure. We describe whether B1 is the right engagement — and if not, what is.