It started as a subscriber, not a strategy.

COIL didn't begin as an AI idea. It began as a DrinkPrime subscriber hitting the exact wall the public reviews describe — a routine request (book a service visit), a chat-only channel, and long waits between replies, one message at a time.

DrinkPrime is where we lived this first-hand — the pattern is far bigger.

Any business with repetitive, structured customer operations running through slow human chat hits the same wall — hotels, healthcare, real estate, home services. COIL is the product; DrinkPrime is the first validation case.

A funded, fast-scaling "water-as-a-service" company

DrinkPrime rents IoT RO/UV purifiers on subscription — the customer relationship is continuous (recharge, relocate, filter, service, refund), so support scales with households. [Verified]

Plans ₹299–₹629/mo · "Unlimited water from ₹399/mo" · 48hr install · lifetime maintenance + free filters. The product is loved enough to scale — but the service experience is its most public weakness.

They've gone "chat-first" — without the AI

The #1 documented complaint is support unresponsiveness · Google Play 3.9★ across ~4.6k reviews · CancelMates calls it a "Water as a Service Trap." [Verified]

Based on publicly observable customer-facing capabilities, we found no evidence of an AI-powered support layer with booking, reasoning, and contextual escalation among India's major water-purifier players — DrinkPrime & Livpure run Freshchat automation + human escalation only, as far as is publicly visible. That gap is the wedge.

Same customer. Two outcomes.

Answered · troubleshot · booked · ticketed — in under a minute, with no human. A human is pulled in only if judgment is needed.

One broken purifier. Two journeys.

Same customer, same broken purifier — the only difference is the layer in between.

Current → Problems → Target

From Level 1 to Level 3

The trap is Level 2 — bolting on a keyword tree that dead-ends to a human. COIL is the Level 2 → Level 3 jump: reasoning, memory, knowledge, action, and clean escalation.

Current state → proposed state

This is COIL

One customer-facing layer between every channel and your business systems. Five capabilities — not five products.

Customers never touch business systems directly — every supported interaction flows through one layer. COIL deploys in front of your stack, not instead of it.

One layer in front of every channel

COIL resolves a real issue end-to-end

AI absorbs the routine; humans keep the judgment

Anti-hallucination by design: anything outside the knowledge base is deferred to a human, never invented.

"What if it gives a wrong refund answer?" — it can't

Outside-in, chat only: human chat stays on and COIL can be switched off instantly — nothing to unwind. Safeguards don't make failure impossible; they put the expensive failures structurally out of reach.

The capability we found no evidence of in the sector

Cells reflect publicly observable customer-facing capability as of research date; [⚠️ where inferred]. DrinkPrime may have internal pilots we can't see.

A different category — not a cheaper helpdesk

Category posture, not competitor internals [⚠️ where inferred]. The incumbents win on breadth, integrations, and proven scale — COIL wins on fit: it sits in front of Freshworks, not instead of it.

Leverage, not a salary-savings claim

Operational leverage — not a fabricated rupee figure. We do not know DrinkPrime's support headcount [❌ unverified]; the real economics get modelled once volume + team data are shared.

What COIL can resolve, per intent

Engineering estimate based on the documented support surface — not DrinkPrime internal data; replace with real numbers once shared.

The product already runs. DrinkPrime is a configuration.

COIL is built on a working reference implementation, already validated through internal production-grade workflows and a live customer-support demonstration. The DrinkPrime-specific work is configuration, integration, and rollout — not core product invention.

The delta is DrinkPrime's own knowledge, intents, and booking rules, layered onto an engine that already runs. Most of the build is configuration, not construction.

"How much of this is real today?"

The left column already exists and is demonstrable. The pilot is integration + configuration of a product that runs — not an invention that might.

A working demo in days · a measured pilot in weeks

Earn each step — with a rollback at every gate

After the ~7-week build, rollout moves gate by gate. We expand only when the prior stage clears its success criteria.

These figures are targets to measure against, not proven results — proof is the measured pilot, and the final pass marks are set with DrinkPrime once real volume is shared.

Customer support + field service — that's the proposal

We're deliberately narrow now: one well-fit layer for support and field service, proven on a pilot, before anything broader.

A scoped chat pilot — instant resolution in days

Until that data is shared, scope is firm and every estimate stays labelled. The pilot is entirely outside-in.

Don't take our word for it — try it now

The numbers in this deck — response time, intent coverage % — are targets to be proven by this live demo and the pilot, not claims. The demo is the proof.