IndonesiaEdTechLaunch · $50K
Ruangguru

Answer every parent the night they ask: agentic enrollment for Indonesia's biggest learning platform

Ruangguru's growth runs on speed-to-lead and consultative selling at scale; agentic conversations qualify, answer, and book counselor calls in minutes — around the clock, through every enrollment season.

Entry use case
Lead qualification & enrollment counseling handoff
Expected outcome
Faster first response, higher lead-to-trial conversion, lower cost per enrollment
Recommended next step
Growth-team pilot ahead of the next enrollment season: agentic first-response and counselor booking on one product line, A/B measured on conversion.
What we understand

Ruangguru's operating reality

Ruangguru is Indonesia's largest education-technology company, with tens of millions of registered users and products spanning K-12 learning (Brain Academy), test prep, and workforce skilling (Skill Academy).

Public fact

Its growth model is famously sales-led, with large tele-sales and education-consultant teams converting app users and leads into paid subscriptions.

Public fact

Demand is sharply seasonal — enrollment windows, exam seasons (UTBK), and government-program cycles create lead surges that fixed sales teams chase imperfectly.

Reasoned inference

Parents decide in the evening and on weekends; response latency during off-hours is a structural conversion leak.

Reasoned inference

Cost per enrollment is under pressure as the edtech market normalizes post-pandemic.

Seller hypothesis — validate

Validate with the account team before outreach: Current speed-to-lead and conversion baselines by product line · Tele-sales team size and cost structure for the business case

Build vs buy

Why we have a right to win here

Partner-led target

Technically capable but needs industry workflows, integration, acceleration, or managed operations

Evidence: Ruangguru has genuine internal AI capability in its learning products (AI-assisted tutoring features), but its growth engine is tele-sales — a commercial function it will augment with bought automation rather than divert product engineers to.

Why they won't build the full stack: Product AI (tutoring) and revenue-ops AI (enrollment conversations over CRM and calendars) are different builds; the latter is undifferentiated for an edtech and competes with core product for the same scarce engineers.

What management is signalling

Post-pandemic edtech normalization has pressured cost per enrollment across the sector, and sales-led models feel it first.

Hypothesisrecent investor communications (validate) · 2025–2026

GTM implication: A/B the agentic funnel against tele-sales on cost per enrollment within one season — a bounded, self-proving pilot.

What already exists (don't pitch this)
  • Ruangguru app with AI-assisted learning features
  • Large tele-sales and education-consultant operations
  • WhatsApp-based lead follow-up
What customers still can't do end-to-end (pitch this)
  • →Minutes-fast off-hours lead response
  • →Rubric-based conversational qualification at surge scale
  • →In-thread renewal and failed-payment recovery
  • →Season-over-season funnel instrumentation
Opportunity map

Where agentic communications pays off first

WorkflowWhy it matters hereValueComplexitySpeedChannels
Lead qualification & counselor booking
Instant qualification on the family's rubric with counselor appointments booked into real calendars.
Speed-to-lead decides conversion in consultative edtech sales; minutes beat days.
Friction today: Leads queue for office-hours tele-callers; off-hours inquiries decay before contact.
WhatsAppVoiceWeb
Trial-to-paid nurture
Usage-aware conversational nurture with parent-facing progress framing and matrix-bounded offers.
Free-trial users are the warmest pool; nurture capacity limits conversion.
Friction today: Blast messaging with no conversation; usage signals unexploited.
WhatsAppIn-app
Subscription renewal & payment recovery
Conversational renewal with in-thread payment completion and recovery of failed charges.
Failed payments and lapsed renewals silently erode recurring revenue.
Friction today: Renewal reminders are one-way; payment issues require support tickets.
WhatsAppVoice
Watch the change

Lead qualification & enrollment counseling handoff: today vs the agentic model

Scenario: A parent in Surabaya asks about UTBK prep at 9pm; by 9:04 she has a program recommendation, a price, and a Saturday counselor call booked — before any competitor replies.
Today
same interaction, two worlds
Agentic layer
First response time
2–3 days
under 2 minutes
Benchmark
Cost per contact
$13.50 median assisted
$1.84 median self-service
Benchmark
QA coverage
1–2% sampled
100% scored
Platform capability
Sources & assumptions
  • · First response time: Process design; 78% choose the first responder (vendor funnel studies — directional)
  • · Cost per contact: Gartner customer service cost benchmarks, 2024
  • · QA coverage: Platform capability: every interaction logged and evaluated
  • · Gartner, customer service cost benchmarks (2024): $13.50 median assisted vs $1.84 self-service per contact
  • · McKinsey, digital-first collections research: 20–25% NPL reduction among leaders; up to 40% opex reduction with gen AI
  • · Baymard Institute: ~70% average cart abandonment (meta-analysis)
  • · IAMAI–Kantar via IBEF (2025): 900M+ Indian internet users; 98% consume Indic-language content
  • · LeadSquared and vendor funnel studies: 78% of students choose the first institution to respond (directional, vendor data)
  • · HDI / ITSM operator benchmarks: $15–25 per L1 ticket; 40–60% of L1 volume is resets/status (validate per customer)
  • · Conventional-flow wait times and volumes are typical operator patterns — assumptions to replace with the customer's own baseline
  • · Agentic-flow behaviors (context retention, 100% logging, in-line policy checks) are platform capabilities, not projections
Recommended solution

One integrated stack, opinionated for this account

Channels · Tilicho Labs
WhatsAppVoiceWebIn-app

Voice & channel orchestration, telephony, conversational execution, session/state, routing, integration build. Capability coverage validated during implementation.

Intelligence · Google Cloud
Gemini reasoningEnterprise groundingWorkflow agentsMulti-agent orchestrationGoverned actionsEvaluation & analytics
Systems · Ruangguru
CRMCounselor calendarsProduct catalogLearning platformBillingPayments

API access to these systems is the critical-path dependency.

Trust & languages
Bahasa IndonesiaEnglish

Identity-bound sessions, policy-bounded actions, 100% audit logging, human approvals at defined points, in-tenant intelligence.

Business case

The economics, with your numbers

Addressable monthly interactions600K
Seller assumption — replace in discovery
Current cost per interaction ($)$0.6
Industry benchmark scale — validate
Automation / assistance rate (%)55%
Seller assumption — pilot proves this
$360K
Current operating cost / mo
$990K
Modelled gross benefit / yr
0.6 mo
Payback on Launch
69%
3-yr ROI (modelled)
Automated/assisted interactions per month330K
Modelled AI run-cost per month (usage + cloud, system estimate)$115K
New monthly operating cost$278K

All figures are modelling estimates from the labeled inputs above — nothing here is customer-provided yet. The pilot's first job is replacing these assumptions with Ruangguru's measured baseline. Package price covers implementation only; recurring usage billed separately.

Recommended package

Launch — $50K implementation

Launch · $50K · A focused, fast production pilot8–10 weeks to a live, measured pilot

Why this package for Ruangguru: A single high-ROI workflow (enrollment funnel) with seasonal spikes is a textbook Launch pilot; expansion into learner-support and collections can follow proof.

Included
  • Up to 3 channels
  • One priority workflow
  • Limited enterprise integrations (1–2 systems)
  • API credential & security setup
  • Core conversational + workflow configuration
  • Basic analytics
  • Controlled production pilot with defined success criteria
Not included
  • ✕Usage & consumption (billed separately)
  • ✕Additional workflows
  • ✕Multi-geography rollout
  • ✕Managed operations
Recurring costs (separate from the package)

Packages cover implementation and integration only. Recurring costs are billed separately: Tilicho Labs platform usage (~$0.15/call-min indicative, usage only), Google Cloud consumption, telephony/carrier charges, managed operations, and support & optimization. No package includes unlimited usage.

Customer resources required
  • · API access + credentials for: CRM, Counselor calendars, Product catalog
  • · A named business owner for lead qualification & enrollment counseling handoff
  • · Security review counterpart and policy sign-off (CRM scope)
  • · Baseline metrics for the pilot's success thresholds
Executive messages

What to say to whom

CEO

“Your moat is distribution and brand; your constraint is consultative capacity. Agentic enrollment removes the capacity ceiling from every season's surge.”

CIO / CTO

“This is a CRM-and-calendar integration, not a platform rebuild — a Launch pilot lands inside one enrollment season.”

COO

“Seasonal hiring-and-training cycles for tele-sales are expensive and slow. Elastic conversational capacity follows your demand curve exactly.”

Chief of Sales / Growth

“Every lead answered in minutes, every counselor calendar filled with pre-qualified families — your closers close instead of dialing.”

Chief Risk / Compliance Officer

“Conversations with minors' families follow strict consent and data-protection policy, with scripts bounded to approved claims — fully logged, unlike today's call floors.”

CFO / Procurement

“Cost per enrollment is the metric; the pilot A/Bs agentic response against the current funnel and reports the delta in one season.”

Outreach

Pre-built offer emails for Ruangguru

Written from this account's own research — the strategic signal, the capability gap, the entry workflow, and the modelled economics — not a mail-merge template. Pick the moment and the persona, edit anything, then copy or open in your mail client.

Moment in the deal
Cold outreach — no prior conversation
Who it's addressed to
Cares about: The workflow itself and its daily failure modes
Register
Length
Draft — edit freely before sending
Open in mail client

Customer-safe by construction: drafts are composed only from customer-facing fields. Account tier, build-vs-buy classification, priority score, internal routing, and partner-commercial detail are not inputs to the composer, so they cannot appear in a draft. Money figures are always framed as modelled from the customer's own volumes. Read before sending — you own what goes out.

The pursuit

Tier 3 — longer-term / partner-led

Why this tier

Indonesia's largest edtech with a famously tele-sales-driven growth engine — excellent lead-to-enrollment workflow fit, but seasonal volumes and edtech budget cycles cap deal size.

Recommended next step

Growth-team pilot ahead of the next enrollment season: agentic first-response and counselor booking on one product line, A/B measured on conversion.

Entry: Lead qualification & enrollment counseling handoff · Launch package · 8–10 weeks to a live, measured pilot. Human fallback throughout; success thresholds agreed before build.

Start the pursuit

Research-based priority-account universe assembled from public information, market scale, communication volume, and solution fit. This is NOT an authoritative list of top Google Cloud customers; existing Google Cloud relationships are noted only where publicly reported. Validate every account with the account team before outreach.