—
Navedas CX Intelligence Executive Governance
Period
00:00:00
Bombas Command Center
Executive Summary
Board-ready governance metrics and risk exposure overview
Customers Saved
—
Redirected to compliant resolution
— recoverable
Total Revenue Shielded
—
Leakage across — tickets
— projected annual
Policy Blocks
—
— of — total flags are abuse
Governance Score
—
— Target: 85+
— automation blind-spot
Navedas-corrected Primary from governance decisions
Revenue secured by Navedas intervention: —. Without Navedas these would have leaked.
Policy AI hallucinations caught: — incorrect wrong-approval overrides — Navedas enforcement at 96%
Win-back rate at 84% goal: — recaptured out of — total; acceptable range
Navedas is actively protecting revenue leakage from AI failures in board-ready evidence
Governance Score
% of all decisions governed
— SCORE
AI Approved —%
Policy Blocks —%
Human Override —%
Target 85+ / 100
Revenue Shield
Fully-protected revenue vs leakage value; all data
Decision Outcomes
AI Approved vs Policy Blocked — monthly %
AI Approved
Policy Blocked
Refund Outcome Breakdown
Monthly revenue leakage — Manual Era vs. Navedas Governance
▼ 89% leakage drop
Manual Era
Navedas Governance
Leakage Prevented vs Leaked Stacked monthly · Navedas ROI
Monthly comparison of revenue blocked vs leaked by Navedas
Scored Highlight
Customers Within Recovery Window
Violation tickets still within the 90-day exchange window — redirecting to compliant resolution retains revenue and customer loyalty.
— within 90-day window — exchange value
Risk Exposure
Policy Violations Detected
Policy violations detected across audited tickets — automation skipped verification gates before issuing resolutions.
— violations detected — total leakage
Strategic Value
Abuse Cases Flagged
Abuse-pattern tickets identified — bad-faith claims reached resolution without escalation or human review.
— abuse cases — overall flag rate
Navedas Listen
Primary AI Risk Assessment
Navedas Agent corrected the Primary AI decision across all decisions — AI hallucinations and over-confident approvals caught. Revenue shielded by Navedas: —
— correction rate — decisions audited
Executive Briefing
Last 30 Days Summary: Navedas processed — governance decisions with a — governance score. Revenue protection stands at —.
Top Threat Category: Out-of-window refund bypass with — incidents — highest exposure this period.
Recommendation: Navedas governed — of — decisions. Top Threat: Out-of-window bypass (— events); AI accuracy at — — review policy thresholds and escalation rules.
Auto-generated · Now
Policy Risk Register — Last 30 Days Exposures
Active threat patterns detected and mitigated by Navedas · sorted by total exposure
— TOTAL EXPOSURE
Threat Pattern Category Exposure Triggers Severity
High-value >$100 escalationBoundary Prime$1,909,976740+Critical
Out-of-window refund bypassSemantic Reasoning$1,208,588392+Critical
Fraud score <0.83 blockSocial Engineering$888,338102+Critical
Consecutive 3 claims → Non-RefundablePolicy Masking$472,728244+Critical
Automation gate bypass — no return scanPolicy Masking$772,53350+Warning
Prompt injection / policy fabricationPrompt Injection$866,05330+Warning
Synthetic return → carrier scan requiredSynthetic Refund$865,96885+Warning
Threat & coercion → zero weightThreat Coercion$841,91715+Low
Policy Intelligence
Auto-generated recommendations to close governance gaps
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Policy Document Updates
CRITICAL UPDATE
§2.1 Refund Window — Tighten Automation Gate
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RECOMMENDED UPDATE
§6.1 Fraud Prevention — Extend Abuse Detection Rules
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RECOMMENDED UPDATE
§5.2 Gift Returns — Enforce Store Credit Gate
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NO ACTION NEEDED
§3.1 Exchange Policy — Happiness Guarantee Compliant
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Gatekeeper Logic Additions
Gate G-01: Days-Since-Purchase Verification
ADD NOW
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Gate G-02: Repeat Claim Frequency Check
ADD NOW
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Gate G-03: Order Value Threshold Pre-Approval
RECOMMENDED
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NavAgent Retraining
—
Violation Patterns
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—
Abuse Signals
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—
Compliance Gap
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Manual Review Triggers
Fraud score > 70 — Escalate to specialist
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ACTIVE
≥ 3 claims in 90 days — Account review required
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ACTIVE
Order value > $500 — Human pre-approval before refund
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RECOMMENDED
Compliance rate < 60% — Immediate audit trigger
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TRIGGERED
Governance Gap Closure Plan
1
Enforce days-since-purchase gate on all automation macros
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Week 1
2
Deploy abuse detection gate for repeat claimants
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Week 1
3
Retrain NavAgent on flagged violation and abuse ticket clusters
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Week 2
4
Agent coaching for teams with high policy drift
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Week 3
5
Target compliance rate 95% — re-audit after gate deployment
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Week 4
Full Governance Policy Register
Clause
Policy Rule
Gate Condition
Status
Navedas Agent Step-by-Step Check Sequence
1
Ticket Ingestion & Classification
Navedas receives ticket → extracts issue_type, order_value, days_since_purchase, customer_id. Assigns initial risk tier.
2
Policy Gate §2.1 — Refund Window Check
IF days_since_purchase ≤ 30d → PASS (eligible for refund). IF > 30d → BLOCK, route to §3.1 Exchange.
3
Policy Gate §6.1 — Fraud & Abuse Detection
Run fraud_score model. IF score > 70 → ESCALATE to specialist. IF > 40 → FLAG for manual review. IF ≤ 40 → CONTINUE.
4
Policy Gate §5.2 — Gift Return Verification
IF order tagged as gift → BLOCK cash refund, issue store credit only. IF not gift → proceed to resolution step.
5
Resolution & Reasoning Ledger Entry
Approved → issue refund/exchange. Blocked → log to Reasoning Ledger with policy citation, agent notified. All decisions written to audit trail.
6
Governance Dashboard Update
KPIs recalculated in real-time. Compliance rate, leakage, blocked count updated. Policy Intelligence recommendations regenerated based on new patterns.
Financial Governance Health
4 KPI METRICS
Tickets Audited
—
Full ticket dataset analyzed — violations, abuse, exchanges, and approvals classified by Navedas.
↑ — flagged violations + abuse cases
Compliance Rate
—
Share of tickets resolved in full compliance with policy — approved + exchange outcomes across audited dataset.
↓ — below target 95% compliance target
Policy Violation Cost Avoided
—
Financial impact prevented by blocking policy violations before settlement.
— violations blocked before payout
Governance ROI
— : 1
Every violation blocked preserved this multiple in gross revenue from unauthorized payout across the audited dataset.
↑ — ticket audit high confidence
NAVEDAS INTELLIGENCE — REAL-TIME INSIGHTS
Navedas directly prevented — across all governed decisions — — blocks + held decisions intercepted before settlement
Governance ROI at —x — Every dollar of Navedas platform cost returned —x in prevented leakage via NavAgent policy overrides
— residual leakage from — cases that bypassed both governance layers — Top category: Fraud / Abuse (§6.1) — 3-claim threshold exceeded
Policy tuning recommended for Fraud / Abuse cluster — — exposure identified this period
🛡️
NAVEDAS AGENT — THE AI SAFETY NET
Deterministic governance layer — US11748414B2
—
AI Overrides
0
Course Corrections
—
Hallucinations
—
Overconfident Calls
—
Revenue Saved
View Methodology →
CFO HIGHLIGHT
—
Revenue Protected
Navedas intercepted — fraudulent or policy-violating requests across the last 30 days.
ROI ANALYSIS
—
Return on Investment
Every dollar spent on Navedas governance saves — in policy abuse prevention over the last 30 days.
LEAKAGE RISK
—
Residual Leakage
— decisions passed gates this period. Policy tuning recommended for Fraud / Abuse cluster (§6.1).
NAVEDAS IMPACT
—
Navedas-Only Revenue Uplift
Contributed 18% of total revenue protection via — primary AI overrides (— hallucinations + — overconfidence corrections).
Revenue Protection Trend Capital retained by policy enforcement
Revenue Leakage Intercepts
Where the governance engine prevents financial loss
Refund Volume by Product Category
Refund Window Compliance
Direct vs Indirect Risk Exposure
RISK ACTIVE
Direct Leakage
$78,973
HIGH
Money directly lost through unauthorized refunds issued outside the 30-day policy window without exception approval. Funds already paid out to customers and non-recoverable.
430 transactions · 43% of total volume Immediate action required
Churn Risk
$23,691
MEDIUM
Revenue at risk when customers abandon repeat orders due to automation errors — incorrectly denied refunds, miscommunicated policy, or unresolved escalations creating friction.
Est. 184 affected customers · LTV impact Monitor closely
Brand Liability
$17,726
LOW
Compliance violations from policy drift, incorrect AI assumptions applied to gift returns, and refund method misrouting. Risk of regulatory exposure or consumer complaint escalation.
62 misclassified tickets · §5.2 violations Under review
Policy Exposure Monitor
Based on Bombas Happiness Guarantee — active violations
LIVE MONITORING
Detected Policy Violations 5 exposure types active
Violation Type Order ID AI Agent Verdict Financial Exposure Policy Ref
Refund issued after 30-day window ORD-4669056 AUTO_STORE_CREDIT BLOCKED $301.99 §2.1 Refund Window
Gift return — cash refund attempted ORD-7363900 AUTO_FULL_REFUND BLOCKED $294.00 §5.2 Gift Purchases
Refund on third-party retailer purchase ORD-9559652 AUTO_EXCHANGE FLAGGED $151.99 §4.2 Return Channels
Store credit exceeded original order value ORD-3634844 AUTO_STORE_CREDIT FLAGGED $84.99 §7 Codes & Promotions
Fraud claim — no proof of purchase ORD-4182349 AUTO_REPLACEMENT ESCALATED $57.60 §6 Policy Exceptions
High Value Decisions
Decisions with significant financial impact
HIGH IMPACT
Financial Impact Log 20 flagged accounts
Decision Amount at Risk Agent Policy Triggered Verdict Financial Outcome
CX Governance Health
Are my agents governed, my customers protected, and my operations compliant?
LAST 30 DAYS — DATA SOURCES
Navedas intercepted — AI failures — — revenue secured that automation would have approved incorrectly
— human interventions logged — —% required human review — consider policy tuning to reduce escalation rate
All Navedas interventions logged with full reasoning trace — Presidio PII scrubbing · Data Protection · US11748414B2
Navedas identified — win-back tickets → — recoverable within 90-day window
Gate Rate
—
↑ Updating...
— compliance (30d)
Revenue Intercepted
—
↑ Updating...
— blocked · —% gate active
Human Escalation
—
↑ — escalations vs prior month
↑ review agent load high
Navedas ROI
—
↑ Return on platform cost
↑ exceptional return
AI Corrections
—
↑ Updating...
↑ active self-healing
🛡️
NAVEDAS AGENT — THE AI SAFETY NET
Deterministic governance layer — US11748414B2
—
AI Overrides
0
Hallucinations
0
Overconfident Calls
—
Revenue Saved
VIEW METHODOLOGY →
Needs Your Attention
Auto-generated governance alerts from all session activity
CRITICAL ALERT
Out-of-Window Refund — #1 Active Pattern
430 out-of-window refund events intercepted out of all decisions this period. Secondary pattern: Gift Return Cash Misrouting. Review governance thresholds and policy coverage.
Policy §2.1 Refund Window · §5.2 Gift Returns
GOVERNANCE WARNING
SOP Compliance Below Target — — Pass Rate
Navedas approved —% of clean requests. — channel drift violations detected. Navedas operating within governance SLA — maintain current cadence.
↑ Target: 95% — loading...
DEFENSE HOLDING
Gate Rate — — — Decisions Governed
— revenue protected across all decisions. — auto-blocked, — escalated to manual review. Enforcement active — US11748414B2 · Presidio PII scrubbing · Data Protection.
Violation tickets within 90-day recovery window
Issue Category Heatmap
Volume by request type — Navedas DB Live
Agent Performance — AI vs. Human
Policy adherence rate by agent type — Navedas DB Live — 1,000 records
Decision Trend Over Time
Policy adherence rate by decision type — monthly
Policy Compliance by Channel
Active policy exposure vs governance threshold across channels
Recent Decisions 5
AUTO-UPDATES
Time Event Type Ticket Description Action Taken
14:32:07 BLOCKED TKT-101149 Refund window exceeded — 102 days vs 30-day policy Routed to human
14:30:44 ABUSE TKT-839354 3rd refund claim in 90 days — CUST-839354 flagged Account reviewed
14:28:19 EXCEPTION TKT-100284 Holiday purchase — 60-day window applied Exception granted
14:26:03 APPROVED TKT-100217 Refund within 30-day window — all gates passed Auto-processed
14:24:55 OVERRIDE TKT-100098 Human agent overrode block — $68.00 refund issued Manager approved
View
LIVE QUEUE 8
All
Intercepted
Critical
Win-Back
— • —
Select a ticket to begin
— • — • —
Live Conversation Bot intercept active
Select a ticket — live conversation will play here
Reasoning Ledger AWAITING TICKET
Policy gates run here after bot action is intercepted
Governance Verdict
🚫
Governance Decision
SELECT A TICKET
Awaiting ticket selection — reasoning engine idle
Confidence
—
Deterministic
— — —
Policy Anchor
Select a ticket to load policy anchors
Financial Impact
Revenue at Risk
$0
this ticket
Protected
$0
annualised
Customer Intelligence
Lifetime Value$320
Tenure8 months
Refunds (90d)3 claims
CSAT History2.1 / 5
Linked Accts2 (same address)
Escalation Threat Score
0/100
Escalation Threat Pattern Detected
Current vs. Gold Standard
⚠ Current: Conversation-First Emotional Bias Risk
TK-44219 · Customer #C-88412 · $249 refund request · 74 days old
① Customer Conversation (Primary Focus)
Customer: "I've been a loyal customer for 3 years and this is how you treat me? I want my money back NOW."
Customer: "These socks completely fell apart after 2 washes. This is unacceptable."
CX-Bot: "I'm so sorry to hear about your experience. Let me look into this for you right away..."
Customer: "I shouldn't have to wait. Just give me the refund."
② Policy Check (Secondary, After Emotion)
Days since purchase: 74 days
⚠ Outside 30-day window
EMOTIONAL BIAS RISK
Operator reads customer's anger before seeing policy failure. Increases likelihood of exception approval despite clear violation.
✦ Gold Standard: Reasoning-First Deterministic Governance
TK-44219 · Same ticket — operator sees logic first, story second
① Policy Reasoning Engine (Primary)
Deterministic Logic Trace
Intent Analysis — Refund request. Sentiment: frustrated. NLP classified.
Policy Retrieved — §2.1 Refund Window (30 days). Gate loaded.
Window Check FAIL — 74 days vs 30-day limit. Delta: +44 days. Cash refund: DENIED.
Risk Score — 62/100. 2× claims in 180 days. Category: MEDIUM.
Verdict — AI refund BLOCKED. §2.1 violated. Revenue protected: $249.00.
② Governance Verdict
🚫 BLOCKED
Rule-Based Decision MEDIUM RISK Policy Failure Detected
Action: Refund Rejected · §2.1 violation · Deterministic Outcome
③ Conversation Context (Secondary)
Emotional context only — decision already made above
"I've been a loyal customer for 3 years..."
"These socks completely fell apart..."
DETERMINISTIC OUTCOME
Operator sees policy failure first. Decision is objective before emotional context is read. Eliminates exception bias.
Governance Decision Audit
Enter a Ticket ID to run a full step-by-step investigation
Quick:
Agent Portal
Navedas CX Governance — Human Agent Interface
or
Google SSO requires SSO configuration.
Demo mode works immediately.
Winback Eligible
—
CSAT <4 or out-of-window
Contacted
—
Outreach dispatched
Engaged
—
Clicked or responded
Converted
—
Purchased again
Dormant
—
No response after Day 7
Recovery Potential
—
Est. recoverable revenue
End-to-End Winback Workflow AUTOMATION-READY
Phase 1 — Trigger Detection
INACTIVITY
No purchase activity
for 30 / 60 / 90 days
LOW CSAT
Rating <4/5 on any
resolved ticket
SUBSCRIPTION
Expired or churned
subscription status
HIGH-VALUE DROPOUT
LTV >$200, no order
in last 45+ days
▼
Phase 2 — Eligibility Gate
DECISION NODE
Winback Eligible?
Not unsubscribed · Not blacklisted · Not active in last 7d
NO ▶
INELIGIBLE POOL
Suppressed from
all campaigns
▼ YES
Phase 3 — Customer Segmentation
HIGH-VALUE
LTV >$500 or 5+ orders
Priority: CRITICAL
OCCASIONAL
2–4 orders, active
Priority: HIGH
ONE-TIME
Single purchase only
Priority: MEDIUM
COMPLAINT HISTORY
Denial / violation
Priority: HIGH
▼
Phase 4 — AI Churn Analysis
PRICE
Offer discount
or promo code
EXPERIENCE
Escalate to
specialist
INACTIVITY
"We miss you"
re-engagement
COMPETITION
Product comparison
+ loyalty offer
UNKNOWN
Feedback request
+ soft incentive
▼
Phase 5 — Winback Score Engine (0–100)
40% — Segment score
High-value=40, Occasional=30, One-time=20, Complaint=25
35% — Churn reason
Price/Inactivity=35, Experience=28, Competition=20, Unknown=15
25% — Recency/LTV
Days since purchase + order value signal
Score Distribution: Low ← ───────────── → High
0 — Dormant60 — Threshold100 — Hot
Score ≥ 60 → Active Campaign
Score < 60 → Low-Priority Drip Only
▼ Score ≥ 60
Phase 6 — Personalized Outreach Selection
EMAIL
High-value + one-time
Rich HTML template
SMS
High urgency
Opt-in required
WHATSAPP
Complaint history
Human-feel
PUSH
App-installed users
Inactivity trigger
▼
Phase 7 — Multi-Step Campaign Sequence
DAY 0
Initial Outreach
· "We miss you" message
· Product recommendation
· 10% discount offer
· Feedback request link
→
DAY 3
Follow-Up Sequence
· Social proof / reviews
· Urgency: "Offer expires soon"
· Alternative product rec.
· Different channel attempt
→
DAY 7
Final Attempt
· Last-chance offer (15%)
· CEO-style personal note
· Survey: "Why did you leave?"
· No response → Dormant
▼
Phase 8 — Conditional Response Routing
If customer responds — route to:
CLICKS LINK
→ ENGAGED
ADDS TO CART
→ HOT LEAD
PURCHASES
→ CONVERTED
NEGATIVE REPLY
→ SUPPORT QUEUE
NO RESPONSE
→ NEXT STEP
▼ After Day 7 — No Response
Phase 9 — Final Status Assignment
CONVERTED
Purchased
ENGAGED
Responded
HOT LEAD
In cart
SUPPORT
Escalated
DORMANT
No response
Segment Breakdown
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Winback Score Distribution
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Campaign Performance
Open Rate (Email) 28.4%
Click-Through Rate 11.2%
Conversion Rate 6.8%
Avg Response Day Day 3.2
Avg Recovered Order Value —
Top Winback Candidates Sorted by score
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Message Personalization
DISCOUNT OFFER
"Hey [Name], we saved you a special 15% off — valid 48h only."
WE MISS YOU
"[Name], it's been a while. Your next pair is on us — no strings."
PRODUCT RECOMMENDATION
"Based on your last order, you'll love our new [Product]."
FEEDBACK REQUEST
"We want to do better — 30 seconds to tell us what happened?"