End-to-end autonomous
Places outbound calls or answers inbound. Handles the full conversation without any human on standby.
AI voice agents · Hyderabad, Telangana
Autonomous AI voice agents for Hyderabad teams.
AI voice agents that place or answer calls end-to-end — no human agent required for the routine 80%. Speaks Hindi, English, and regional Indian languages. Warm-transfers to a human when the conversation needs one.
Why Hyderabad teams pick dialque
Built for Hyderabad, not adapted to it.
South India's IT and GCC capital — roughly 600K IT professionals clustered along the HITEC City–Gachibowli–Nanakramguda corridor, dense captive-BPO and enterprise contact-centre floors serving both Telugu-Hindi-English consumer volumes and 24×7 offshored global desks under Telangana's IT-ITES night-shift exemption.
Business districts we serve
- HITEC City
- Gachibowli
- Financial District
- Madhapur
- Banjara Hills
- Nanakramguda
Industries in Hyderabad
- IT services
- BFSI / Fintech
- Insurance
- Pharma
- ITES / BPO
What Hyderabad teams use dialque for
Telugu-Hindi FNOL and renewal calls for insurers in the Financial District, patient recall and lab-follow-up cadences for pharma and CROs, EMI recovery for Gachibowli fintechs, and tier-1 IT-support triage for HITEC City GCC captives — the volume-heavy 80% that would otherwise clog a Madhapur floor of tele-callers.
What you get
Everything a Hyderabad contact centre needs, in one platform.
Hindi + regional languages
Auto-detects the language from the caller's first utterance. Handles Hinglish + code-mixing natively.
Warm handoff to humans
When the caller frustrates or asks something out-of-scope, transfers with a real-time conversation summary.
Same TRAI compliance
DLT + NDNC + 9-21 window enforced at the dialer, just like your human-agent campaigns.
Compliant with TRAI, DPDP Act, and every Indian carrier requirement.
DLT template enforcement, NDNC scrub at queue import, 9 AM – 9 PM calling-window guard, TRAI 3% abandon-rate pacing, DPDP-compliant recording storage. Everything a Hyderabad it services operator would flag in an audit is handled at the platform level, not documented as an add-on.
Languages in Hyderabad calls
dialque handles code-mixed conversations natively. For Hyderabad calls this typically means English, Telugu and Hindi— English-only IVRs fail Tier-2 and Tier-3 callers, and AI call summaries are produced in the language the call actually happened in.
Support for Hyderabad teams
dialque is a remote-first team serving Hyderabad contact centres India-wide. Video demos same day; async support over email + WhatsApp; the product runs the same way whether your team is in HITEC City or anywhere else in Telangana.
FAQ
Hyderabad-specific questions we get asked.
- Can the AI voice agent share the trunk our HITEC City human dialer already runs, or does it need its own carrier contract?
- Same trunk. The AI voice agent registers on whichever Indian SIP trunk your Hyderabad ops already terminates — Tata, Airtel Business, Vi Business, Knowlarity, Plivo, Ozonetel, or Exotel — so a HITEC City or Gachibowli tenant does not need to negotiate a second contract or renumber DIDs to bring the AI layer up. Media stays inside Indian PoPs so RTT to Hyderabad handsets stays low enough for Telugu turn-taking to feel natural (Telugu TTS gets noticeably choppy above ~120ms one-way media latency). If your compliance team wants a segregated DID range for AI-originated traffic — some Financial District insurers prefer this for CDR reporting — we can scope it with your existing carrier before launch.
- Will the AI voice agent actually converse in Telugu, or does it push callers to English the way most bots do?
- It handles Telugu end-to-end: recognition, LLM reasoning, and TTS in Telugu, plus the Telugu-Hindi-English code-mix that is standard on Hyderabad consumer calls. A Banjara Hills policyholder opening in Telugu, dropping into English for policy numbers, and closing in Hindi is handled without restarting the intent. The primary language is set per campaign; the agent detects mid-call switches on its own. On intents that fall outside the trained scope — a nuanced grievance, a regional dialect it is unsure about, a claim value beyond the auto-approve envelope — it warm-transfers to a human agent on your floor with the transcript already carried across in the same language thread.
- For a CRO or hospital chain calling patients from a Genome Valley setup, is the AI agent workable for reminders and recalls?
- Yes, and it is a natural fit for the routine 80% of patient-facing calling: appointment reminders, lab-report-ready notifications, medication-refill nudges, and study-visit recalls. The agent runs the reminder in Telugu, Hindi, or English, confirms the slot or captures a reschedule, and updates your HIS or study-management system through the same webhook you already use. On sensitive intents — a patient reporting an adverse event, a caregiver asking for clinical detail — it warm-transfers to a licensed coordinator immediately rather than answering. Consent capture at call start and per-recording delete APIs support DPDP subject-rights requests, which matters for CROs operating across US IRB and Indian DCGI oversight simultaneously.
- For a Gachibowli fintech running recovery calls, does the AI agent respect RBI Fair Practices Code constraints or does that stay a human-only workflow?
- RBI's Fair Practices Code and the recovery-agent guidelines cap calling hours, prohibit intimidation, and require verifiable identification at the start of every recovery call — all of which the AI voice agent honours by design, because the script and pacing are auditable and consistent in a way a human floor genuinely is not. The agent identifies itself as an automated agent on behalf of your NBFC (compliance with the mandatory automated-caller disclosure rule), captures the promise-to-pay date, and warm-transfers to a human collector on disputes, hardship requests, or settlement conversations where judgement is required. Recording, transcript, and disposition retention align to whatever your recovery-agent audit window requires. See /virtual-recovery-agent for the collections-specific configuration.
- Our HITEC City GCC captive runs tier-1 IT support for US and EMEA customers 24×7 — how does the AI voice agent fit that shift pattern?
- For a HITEC City GCC captive covering US-East, EMEA, and India shifts on a follow-the-sun rota, the AI voice agent is typically deployed as the L1 triage layer: it takes the inbound in English, classifies the intent against your knowledge base, resolves password-reset and access-provisioning tickets in-conversation, and warm-transfers only genuine L2 cases to the human bench. Telangana's IT/ITES exemption under the state Shops & Establishments Act permits the underlying 24×7 human operation, and the AI layer runs continuously on top — capacity is provisioned rather than headcount-scaled, so the graveyard-shift dip in bench availability does not translate into abandoned tickets. Prompt and persona tuning is self-serve, which matters when a US customer intent taxonomy shifts every quarter.
- We are on Exotel today for our Banjara Hills insurance desk — what breaks if we move to the AI voice agent for renewals and FNOL?
- Very little, provided you move campaign-by-campaign rather than in a single cutover. Your existing DIDs stay on the current carrier trunk (Exotel sits on top of a Tata or Airtel contract in most Hyderabad setups), the AI voice agent points at that trunk, and your policy-admin system webhook re-targets to dialque's dispatcher. Renewals are the easiest first campaign to migrate — the script is predictable, the intent is bounded — and FNOL follows once the warm-handoff thresholds are tuned to your loss-adjuster bench. Historical recordings and dispositions stay in Exotel for reference; there is no forced re-upload. Most Banjara Hills and Financial District insurers run one week of parallel traffic before shifting the renewal book fully across.
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