One AI brain forevery supportconversation.
Categorize, answer, and score every email, WhatsApp message, and phone call, grounded in your SOPs, inside your helpdesk.
“My payment has been pending for 5 days”
Classification route
Simulation of the live pipeline
93%+
categorization accuracy at the most granular tier
< 3 s
to categorize a new ticket
< 15 s
to a grounded, safety-checked reply
100%
of conversations QA scored, not a 5% sample
Measured in production on our first deployment
Running in production at
Support teams drown in work that isn’t support.
Agents tag tickets instead of solving them, and misfiled tickets break every report downstream.
Half of inbound volume is questions your SOPs already answer, retyped by hand all day.
Voice is the one channel you cannot batch. Hold queues are a staffing problem forever.
What was said on a call lives only in the agent's memory. No transcript, no record.
A customer on their sixth ticket is treated like a stranger. Context never travels.
Team leads review 5-10% of tickets. The rest go unscored and unseen.
This is daily drag at every support org past 50 conversations a day.
- Uncategorized1h 12m ago
Login issues after recent update
Category: blank · Assignee: none
- Uncategorized48m ago
Billing discrepancy on invoice INV-24
Category: blank · Assignee: none
- Uncategorized32m ago
Where is my settlement payment?
Category: blank · Assignee: none
- Uncategorized9m ago
How do I reset my password?
Category: blank · Assignee: none
Six capabilities. One core. Adopt them independently.
Every capability is a self-contained module on the same brain. Start with one. Turning on the next is configuration, not a project.
Channels are adapters. The brain is the product.
Retrieval, reasoning, safety, and orchestration live in one core. Email, WhatsApp, and voice plug into it. So does whatever helpdesk you already run.
- Update an SOP once, every channel is current.
- Swap the CRM, keep the brain.
- Claude or GPT, automatic failover, no lock-in.
What lands in your helpdesk.
Not mockups. These are the actual artifacts the platform writes, rendered live.
ACME Exports
Customer for 14 monthsLive status
2 tickets open, both Txn Status
1 transaction in review
Commitment: callback promised, due today
History, 30d
7 resolved
Cross-team
- Financerefund query resolvedJun 28
- OnboardingKYC verifiedJun 12
- Support9 conversations, latest: settlement timeline enquiry2d ago
Most AI support is a chatbot wrapper. This is not that.
A wrapper
Architecture
One channel, rebuilt for the next
Retrieval
Vector-search a PDF and hope
Integration
Guesses account state
Evaluation
Grades grammar
Memory
Answers tickets
The platform
Architecture
One core. Email, WhatsApp, and voice share it
Retrieval
Guardrails always injected, tables exact-matched, search re-ranked
Integration
Calls your live systems for the real answer
Evaluation
Checks the exact procedure your SOP defines
Memory
Remembers customers across channels and teams
Plugs into the helpdesk you already run.
Zoho Desk is live in production today. The rest ride the same adapter contract.
Adapters
- 01
Connect your helpdesk
- 02
Import your taxonomy
- 03
Ingest your SOPs
- 04
Set your QA rubric
- 05
Pilot on a test group, then widen
Turn on only what you need. Pay for only that.
Every module is independent and priced per use. Disabled modules cost nothing.
Build your estimate- Categorization
- ~$0.001 / ticket
- QA Scoring
- ~$0.002 / conversation
- AI Response
- ~$0.02-0.05 / reply
Common questions.
Nothing goes out. Every response passes a confidence gate and a self-critique check before sending; anything below threshold is left as a normal ticket for a human. The customer never sees a half-confident AI answer.
See it categorize, answer, and score. Live.
Thirty minutes with your actual taxonomy and a sample of your tickets.