Same SLAs delivered with a quarter of the human agents, at a lower cost to serve.
Solutions · Customer support
Every call ends in an answer.
Support is judged on whether the problem got solved and how the customer felt, not on how many calls you deflected. The AI answers at once, in the customer's language, resolves the routine end to end, and hands the hard ones to an agent with the full context, so nobody is passed around and nothing is dropped.
Inbound queue · liveSimulation
calls answered0
resolved by AI0
to an agent0
resolved by AIto a human agent
"Deflection is a metric that makes the call centre look good and the customer feel worse. Resolution is the only number that survives contact with a real person."The support doctrine · resolve, do not deflect
The operator's truth
The cheapest support call is the one that actually gets resolved the first time.
Optimise for deflection and the bot fights to end calls it should have transferred, which produces repeat calls and worse scores. Optimise for resolution and the economics follow, because a solved problem does not call back three times.
The AI resolves the routine bulk end to end, at any hour, in the customer's language, and pulls in a person the moment a call needs judgement. It also makes the low-value, high-volume segments, the ones that were never economic to staff, affordable to serve properly.
The resolution flow
Answered, resolved, or handed over clean.
The AI owns the answer and the resolution. Where a call needs a human, it moves with the whole context, and every conversation, either way, is scored.
Step 1 · Answered
Picked up at once, at any hour
No queue, no hold music, no closed sign at 2am. The customer is greeted and understood in their own language from the first second, across voice and chat.
24/7 pickupVoice + chatMultilingual
Moves: answer rate, wait time
Step 2 · Resolved
The whole routine, end to end
Order status, warranty and service booking, billing questions, account changes; the AI reads and writes to your systems and completes the task on the call, rather than reading out a number to call next.
Reads + writes to your systemsTask completed in-callNo repeat questions
Moves: first-contact resolution
Step 3 · Handed over
The hard one, to a person with context
A complaint, an emotional call, or a case that needs judgement moves to an agent mid-call with the intent, history and sentiment attached, so the customer never repeats themselves and the agent opens ready.
Warm handoffIntent + sentimentNo re-explaining
AI → human, in seconds, with context
Moves: escalation quality
Step 4 · Scored
Every call audited, both kinds
AI and human calls alike are scored automatically against your quality rubric, so coaching is based on the whole book of conversations rather than a 5% sample, and the model gets better each cycle.
100% QAAuto-scoredFeeds the learning loop
Moves: CSAT, quality variance
Every kind of query
The support your customers actually call about.
Across sectors, most inbound volume is a handful of repeated questions. The AI owns those end to end and frees your agents for the calls that genuinely need a person.
Order & delivery
Where is it, and what now
Tracking, delivery reschedules, returns and refunds handled on the call, with the update written back to your order system.
Moves: order-query resolutionWarranty & service
The booking, made on the call
Warranty checks, service-centre lookups and appointment booking completed in the conversation, not handed off to a form.
Moves: service-booking completionBilling & payments
The invoice question, answered
Balance, due dates, plan details and payment help resolved securely, with card handling kept inside the standard.
Moves: billing first-contact resolutionTechnical support
The first-line fix, walked through
Common troubleshooting guided step by step, and the genuinely complex faults escalated to a specialist with the diagnostics already gathered.
Moves: tier-1 resolutionAccount servicing
The change, done not queued
Address updates, plan changes, KYC prompts and profile edits completed in-conversation and synced to your CRM.
Moves: self-service completionComplaints & escalations
Heard, then routed right
Grievances captured with empathy and logged, then handed to the right human with the full context, so a bad moment does not become a lost customer.
Moves: complaint handling timeThe numbers this motion is judged on
The same service level, at a fraction of the seats.
A leading consumer-durables brand ran its inbound contact centre on the platform and held its service levels with far fewer human agents, moving the routine volume to AI and keeping people for the calls that needed them.
Contact-centre footprint200 → 50 seats
Handled by AI60–80%
Of interactions resolved end to end, freeing agents for the complex 20–40%.
Audit coverage100%
Every call scored, AI and human, against your quality rubric.
Cost per outcome~30% lower
India benchmark, with the tail segments finally economic to serve.
Safe support by construction
Consent, data and quality, enforced in the platform.
The rules that govern a support conversation live in the platform, not the training deck.
DPDP ActConsent & data protection
Customer data resident in India, consent honoured per interaction, recordings encrypted and access-controlled.
TRAI · TCCCPRContact rules
For any outbound follow-up, calling windows, caps and DND checks are enforced before a dial is placed.
Internal100% call audit
Every conversation scored, AI and human, where the industry samples under 5%, so quality is the whole book.
PaymentsPCI-DSS handling
Any card capture in a billing call stays inside the standard; card data never lingers in a transcript.
Language10+ Indian languages
Native speech handled across Hindi, English and regional languages, with mid-call switching.
EscalationAlways a person available
A human is one step away by design, so no customer is trapped with a bot that cannot help.
What support leaders ask before signing
Will customers get stuck talking to a bot that cannot help?
No, because a person is always one step away. The AI resolves what it can and hands off the moment a call needs judgement, with the full context attached. We measure resolution and CSAT, not deflection, precisely so the system transfers when it should rather than trapping the customer.
Can it actually complete tasks, or only answer questions?
It completes them. The AI reads from and writes back to your order, billing and CRM systems, so it books the service, updates the address or processes the change on the call, rather than reading out a number to dial next.
How does it handle an angry or emotional customer?
It hears the sentiment and routes to a person. A complaint or a distressed caller is captured with empathy, logged, and handed to the right agent with the history attached, so the customer never has to repeat the story to get help.
What languages does it handle?
Hindi, English and the major Indian regional languages, with mid-call switching. The speech pipeline is built for exactly the accents and code-switching that generic engines struggle with.
How do you price this?
Consumption on handled volume, plus a success fee tied to resolution and quality above your baseline. No seats, no shelfware; the full construct is on the outcome pricing page.
What proof exists on operations like ours?
Ask for the reference call. A leading consumer-durables brand held its service levels while cutting its contact-centre seats to a quarter, moving the routine volume to AI. Bring your call mix and we will baseline resolution and CSAT first.
Judge it on your queue