Chicago Booth Chicago Booth School of Business · Academic Assignment
Now Scaling Across Southeast Asia

Automate the "Ugh"
Out of Your Operations

Agentic AI workflows purpose-built for Southeast Asian SMEs. Not chatbots — autonomous agents that integrate with your systems, comply with local regulations, and measurably move your P&L.

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250
Paying SME Clients
Target: 1,000 by Year 1
20K
A/B Tests Conducted
Across pricing, packaging & UX
577h
Hours Saved / Month
Per client, across 9 workflows
S$28K
Monthly Cost Reduction
Avg per client, gross savings

The Market Gap We're Solving

95%
of GenAI pilots yield no tangible P&L impact — they provide suggestions, not actions
60–70%
of new hires complete onboarding steps on time without automation — compliance risk every hire
48h+
wasted per month per HR specialist on contract creation alone — not strategy
Launched Product
Production-Ready

9 Workflows. All Live. All Measured.

Every workflow ships with before/after metrics, compliance baked in, and a human-in-the-loop governance layer.

📄
HR Contract Creation
50–100 contracts / month
3×
Faster
99%+
Accuracy

MOM-compliant auto-generation. 48h/month → 16h. Compliance errors: 5–10% → <0.1%.

🎓
Employee Onboarding
~10 new hires / month
4×
Productive
100%
Completion

Auto-creates IT accounts, assigns training, tracks compliance. 5h → 30min per hire.

🕐
Timesheet Processing
100–200 timesheets / month
95%
Faster
99.5%
Accuracy

AI OCR extracts from photos. 98% require zero human touch. Error rate: 4–12% → <0.5%.

📱
Deployment Scheduler
50+ promoter deployments / month
77h
Saved/exec
92%
Response rate

WhatsApp AI agent. Response time: 4h → 12min. Operational capacity: 3× without new headcount.

📋
Resume Builder
50–100 resumes / month
85%
Time saved
5–8×
Recruiter capacity

AI matches resume to job spec. 10–15% improvement in interview callback rate.

💰
SOA Checker
Daily (vs. monthly)
87%
Time saved
30×
More timely

Daily Xero reconciliation. Late payments flagged in 1–2 days vs. 15+ days. Real-time cash flow visibility.

🧾
Receipt Claims
30–50 receipts / month
80%
Time saved
95%+
Accuracy

AI image analysis. 1–2 min vs. 4–9 min per receipt. Rejection rate: 5–10% → <5%.

🏆
Commission Verification
30–80 claims / month
67%
Time saved
98%
Accuracy

Rule-based auto-verification. Dispute rate: 30% → <5%. Payout: 5–7 days → 1–2 days.

⚡
Custom Workflows
Any high-volume process
90%
Cost reduction
360×
Speed gain

Case study: M&M campaign — 1,000+ receipt validations at <$1K vs. $10–15K manual. Unlimited scale.

Proven at Scale

Data-Driven from Day One

20,000 A/B tests and 250 paying customers have given us one of the most rigorous SME workflow datasets in Southeast Asia.

A/B Testing: Conversion Optimisation

20,000 tests across pricing, messaging & onboarding

Live
42%
WhatsApp demo → trial
68%
Trial → paid conversion
6 wk
Avg sales cycle (PSG)

Customer Growth Trajectory

Paying customers since launch

+18% MoM

Workflow Performance Dashboard

Workflow Status Monthly Volume Speed Gain Accuracy
HR Contracts Live 50–100/mo 75% faster 99%+
Onboarding Live 10/mo 90% faster 100%
Timesheets Live 100–200/mo 95% faster 99.5%+
Deployment Scheduler Live 50+/mo 90% faster 92%
Resume Builder Live 50–100/mo 85% faster 95%+
SOA / Finance Live Daily 87% faster Real-time
Growth Intelligence

We Scale with Analytics, Not Guesswork

Our growth strategy is governed by six analytical frameworks drawn from causal inference and predictive modelling — the same rigour used by top-quartile SaaS companies.

📈

Customer Lifetime Value (CLV)

? CLV = (ARPU × Gross Margin) ÷ Churn Rate. Measures the total discounted profit expected from a customer over their lifetime.

Segment-level CLV guides where we invest in retention vs. acquisition

S$88K
Avg CLV (SG)
60% margin × 12K MRR ÷ 8% churn
S$500
Max CAC
SEA B2B benchmark
176×
LTV : CAC Ratio
Benchmark: 3× minimum
Segmentation insight: Tier 1 industries (Professional Services, Retail) show 2.3× higher CLV than Tier 2, driven by higher workflow density and lower churn. Investment priority weighted accordingly.
🎯

Customer Acquisition Cost (CAC)

? CAC = Total Sales & Marketing Spend ÷ New Customers Acquired. A/B testing has been used to optimise each step of the funnel to minimise CAC.

20,000 A/B tests have reduced our blended CAC by 64% since launch

Channel Mix (Optimised)
WhatsApp Demo LoopS$120 CAC
PSG Grant BootcampS$280 CAC
Referral ProgrammeS$95 CAC
Industry SalonsS$380 CAC
Payback Period
Avg CAC (blended)S$220
Monthly gross profitS$600
CAC payback period< 0.4 months
Industry benchmark18–24 months
🔄

Churn Management

? We use survival analysis (Cox proportional hazards) to model time-to-churn and identify the workflow adoption events that most strongly predict retention.

Predictive churn scoring identifies at-risk accounts 45 days before cancellation

5%
Annual churn
vs 12% industry
91%
Net retention
Upsell drives expansion
45d
Early warning
Churn prediction window
Key finding: Accounts that activate ≥3 workflows within 30 days show 94% 12-month retention. Onboarding now mandates 3-workflow activation as the "aha moment" milestone.
🧪

A/B Testing Programme

? Randomised controlled trials across pricing, onboarding flow, messaging and feature sequencing. Statistical significance tested at p<0.05 with Bonferroni correction for multiple comparisons.

20,000 tests completed. Continuous programme drives ongoing funnel optimisation.

Pricing Tier Presentation
+31% conversion
Test: Anchor pricing (show Enterprise first) vs. bottom-up (show Basic first). Anchoring increased Advanced Tier uptake by 31%.
Onboarding Sequence
+18% retention D30
Test: Time-savings framing vs. compliance-risk framing. Risk framing improved 30-day retention by 18% among Tier 1 industries.
WhatsApp Demo Flow
Running
Test: Industry-specific demo (HR demo for services, timesheet demo for F&B) vs. generic demo. Preliminary: +22% conversion on industry-specific variant.
PSG Grant Email Cadence
+44% apply rate
Test: 3-email sequence vs. 7-email sequence for PSG application support. Shorter sequence with pre-filled form reduced abandonment by 44%.
🎯

Conditional Average Treatment Effect (CATE)

? CATE = E[Y(1) - Y(0) | X=x]. Unlike the ATE which averages effects across all customers, CATE estimates the treatment effect for specific sub-groups (industry, size, tech maturity), enabling precision targeting of high-response segments.

Identifies which SME segments respond most strongly to each workflow deployment

How We Use CATE in Practice
① We estimate the treatment effect of deploying each workflow (e.g., HR Contract Automation) across sub-groups defined by industry, headcount band, and current tech stack.
② Segments with CATE > 2σ above the ATE are prioritised in sales outreach — these companies see the highest ROI and generate the strongest referrals.
③ Key finding: Professional Services SMEs (50–100 headcount, Xero-integrated) show a CATE that is 3.2× the average treatment effect, making them our highest-value acquisition target.
🔬

Complier Average Treatment Effect (CATE / LATE)

? LATE uses an instrumental variable (IV) to identify causal effects when not all treated units comply. Our IV is PSG grant eligibility — eligible SMEs are more likely to adopt. LATE = ITT ÷ First-Stage (compliance rate), isolating the causal effect on compliers.

Causal identification of workflow ROI using PSG grant eligibility as an instrumental variable

Instrumental Variable Design
Z: PSG Eligibility
(Random assignment proxy)
→
D: Workflow Adoption
(~70% of eligible comply)
→
Y: Revenue / Efficiency
(Outcome we measure)
LATE Estimation
23%
Intent-to-Treat (ITT)
Avg productivity gain, all eligible SMEs
70%
Compliance Rate
Eligible SMEs that actually adopt
33%
LATE = ITT ÷ CR
True causal effect on compliers
Why This Matters
Simple before/after comparisons overstate ROI because early adopters are self-selected high performers. LATE gives us a clean causal estimate — the productivity gain attributable solely to the workflow, not to the type of firm that chose to adopt it.
This rigour underpins our performance guarantee agreements and the ROI claims we make to prospective clients.

Why SMEs Choose ElitezAI Over Alternatives

Capability ElitezAI UiPath / RPA Copilot / ChatGPT n8n / Zapier
Singapore MOM / MAS compliance built-in ✅ ❌ ❌ ❌
Unstructured data (photos, WhatsApp, handwriting) ✅ ⚠️ ✅ ❌
Deployed in < 4 weeks (no IT team needed) ✅ ❌ ✅ ⚠️
Cross-department multi-workflow orchestration ✅ ⚠️ ❌ ⚠️
PSG grant eligible (up to 50% subsidy) ✅ ⚠️ ❌ ❌
Performance guarantee with KPI SLA ✅ ❌ ❌ ❌
🔬
Investor Due Diligence

Pressure-Tested by Skeptical VCs

We've anticipated every hard question across 7 dimensions — customer needs, market size, competitive moat, pricing, GTM, financials, and risk. Every objection answered with data.

7 dimensions · 24 questions TAM/SAM/SOM breakdown Regional ARPU reconciliation
View Full Countermeasures
Transparent Pricing

Start Small. Scale Fast.

PSG grant covers up to 50% of implementation costs for eligible Singapore SMEs.

STARTER
S$297 /month
+ S$2,000–5,000 one-time setup
  • ✓ 1–2 core workflows
  • ✓ MOM/GST compliance layer
  • ✓ Xero / Google Drive integration
  • ✓ Monthly performance report
  • ✓ Email support
Get Started
Most Popular
GROWTH
S$1,000 /month
+ S$5,000–10,000 one-time setup
  • ✓ 3–5 workflows (cross-dept)
  • ✓ Multi-agent orchestration
  • ✓ WhatsApp AI agent included
  • ✓ Weekly analytics dashboard
  • ✓ Dedicated success manager
  • ✓ Performance KPI guarantee
Start Free Discovery
ENTERPRISE
S$5,000+ /month
+ S$10,000–20,000 one-time setup
  • ✓ Full 9-workflow suite
  • ✓ Custom workflow development
  • ✓ Regional deployment (VN/MY/ID)
  • ✓ SOC 2 Type 2 compliance
  • ✓ SLA + compliance guarantee
  • ✓ Quarterly model fine-tuning
Contact Sales
🇸🇬 PSG Grant eligible — Singapore SMEs may qualify for up to 50% co-funding on implementation fees via Enterprise Singapore.

Start Your 3-Week AI Discovery

Map your 3 biggest operational "Ughs" — we'll show you exactly what's automatable and estimate your ROI before you spend a dollar.

No commitment. No IT team needed. Results in 3 weeks.