Your infrastructure already knows where
growth is.
AI shows you
where to act
Yutanix AI Data Center continuously analyzes operational and commercial signals across your sites — utilization, tenant behavior, pricing, and demand patterns — surfacing the opportunities and risks operators usually discover too late.
Ambient intelligence embedded in every workflow.
What it's not
Not another dashboard to monitor
You don’t need to hunt for insights. Signals surface directly in the workflows where decisions already happen.
Not a separate tool you log into
AI insights surface inline — in the quote builder, in the billing review, in the portfolio dashboard. Wherever you're already working.
Not generic AI trained on someone else's data
It learns from your catalog, your pricing history, your tenant behavior, your win patterns. Every insight is grounded in your business data.
What it is
Always-on pattern recognition across your data
Watching usage trends, invoice history, renewal dates, and service patterns simultaneously — finding the signals that matter before they become problems.
Actionable recommendations, not just observations
Every AI signal comes with a specific next step — add to invoice, escalate approval, pitch the upgrade, pause the quote. One click to act, not a report to analyze.
Cross-module intelligence — no siloed insights
AI sees your catalog, your quotes, your billing, and your capacity simultaneously. The cross-site expansion opportunity it spots only exists because it has the full picture.
How AI powers decisions across your data center platform
Each capability is embedded inside the module where it's most relevant — so the insight arrives exactly when you can act on it.
Pricing Intelligence ✦ Catalog + Quoting
Floor protection, margin alerts, market-rate recommendations
AI monitors your pricing rules, margin thresholds, and quote history simultaneously. When a rep prices a service below margin floor — or significantly below what similar deals have closed at — it flags the issue before the quote is submitted, with the specific line item and recommended correction.
- Margin floor enforcement before submission — not after review
- Flags quotes priced inconsistently vs recent wins for same customer profile
- Suggests term-based pricing when a longer term increases deal value
AI in action · QT-0098
Pricing flag: 10G cross-connect at $650/unit vs catalog $700. Margin compresses to 31% — below 35% threshold. Recommend $700 or apply 24-mo term discount instead.
24-mo term discount alternative
Apply −8% term incentive → $700 × 0.92 = $644/unit — below catalog but margin stays at 36%.
Bundle Recommendations ✦ Solution Builder
Customer-matched service bundles with confidence scoring
When a rep opens the Solution Builder and selects a customer, AI immediately surfaces the top bundle recommendation — based on the customer's industry, footprint, prior purchases, and the purchase patterns of similar customers. Reps close more because they're always leading with the right configuration.
- Customer-profiled bundle match with confidence score
- Cross-sell flags — services similar customers bought together
- Missing standard services identified before quote is sent
Bundle match · Hurricane Electric
Bundle A · Enterprise Colo
94% matchFull Cab ×3 · 10G xconn ×6 · RH Retainer
$12,100/mo
Bundle B · Standard
71% matchFull Cab ×2 · 10G xconn ×4
Approval Velocity Monitoring ✦ Quoting
Stalled approval detection, auto-escalation signals
AI tracks every quote in the approval pipeline against historical approval cycle times for similar deal sizes. When a quote is sitting longer than the norm, it surfaces an escalation recommendation — before the prospect's enthusiasm cools. Average approval cycle for deals above $10k MRC: 1.2 days. AI flags at 2 days, auto-escalates at 3.
Velocity alert: QT-0098 ($22,400 MRC) has been awaiting Stage 1 approval for 2.1 days. Historical average for this deal size is 1.2 days. Auto-escalation to GM scheduled for tomorrow 9am unless approved first.
Billing Anomaly Detection ✦ Billing
Missing charges, contract mismatches, unbilled services — caught pre-send
Before any invoice reaches your review queue, AI scans every line against signed contracts, prior invoices, and completed service tickets. It finds the $350 Remote Hands charge that didn't make it onto the invoice. It confirms the locked contract rate is being applied correctly. It flags the service that activated three weeks ago and never got added to billing. Every anomaly surfaced before it goes out — or before the tenant notices it.
- Missing charges detected from service ticket cross-reference
- Contract rate verification — locked prices confirmed against signed SOFs
- Unbilled service detection from delivery activation records
Pre-send scan · March billing
INV-0231 missing RH charge (TK-0441) — unbilled $350
INV-0238 xconn at $650 — contract rate confirmed, no action needed
INV-0240 new Colo-Serv service prorated from Mar 3 — auto-added correctly
Churn & Upsell Signals ✦ Lifecycle + AI
Renewal risk scoring, expansion opportunity detection, cross-site patterns
AI continuously monitors every active subscription for signals that indicate expansion readiness or churn risk — usage trends, support ticket frequency, invoice payment patterns, renewal proximity, and cross-site footprint. The signals it catches are the ones that only become visible when you look at months of data simultaneously, across every module.
- High-utilization tenants flagged for expansion conversations before renewal
- Churn risk scoring from combined payment, usage, and support patterns
- Cross-site upsell opportunities from multi-site tenant inquiry history
- Ad-hoc service usage patterns that indicate retainer upgrade potential
Active signals this week
Datacate · Expansion
High94% util · renewal in 14d · upgrade window open
DataNOC · Churn risk
CriticalInvoice 3d overdue · tickets ↑40% · renewal 45d
HE → PHX-03 expansion
Cross-sitePHX 52% spare cap · 3 SJC tenants asked about PHX
From reactive to proactive. In every workflow
Without AI, you discover problems when they surface — a churn, a missed charge, a margin-bleeding quote. With AI Data Center, you see them 30–60 days before they become decisions you're not prepared for.
Without AI Data Center
Tenant churns at renewal — you find out when they don't renew
Remote Hands charge missing from invoice — tenant or your team finds it next month
Quote priced 4% below margin floor — discovered during audit, deal already closed
SJC-01 at 91% — you quote into it and win, then have to explain why they can't move in
With AI Data Center
AI flags churn signals 45 days before renewal — you reach out before they've decided
Pre-send scan catches the missing charge before the invoice leaves your queue
Margin flag appears in the quote builder before the rep submits — corrected inline
Capacity alert appears when SJC-01 hits 85% — sales team redirected to PHX-03 before overcommitting
AI Data Center is embedded across every module — not a separate product or add-on. Every intelligence layer is active the moment you're using the platform.
Product Catalog
Stale SKU alerts, pricing floor recommendations, bundle health scoring
Solution Builder
Customer-profile bundle matching, cross-sell flags, AI proposal narrative drafting
Quoting & CPQ
Margin floor enforcement, approval velocity monitoring, risk flagging before submission
Billing & Invoicing
Pre-send anomaly scan, unbilled service detection, contract rate verification
Multisite Management
Cross-site expansion signals, capacity threshold monitoring, concentration risk alerts
See what AI Data Center
can finds in your business.
See how Yutanix maps to your current environment and how revenue workflows can evolve as your business grows.