Practical writing on outbound sales, telephony, deliverability, and the engineering behind dialque.
dialqueAI now transfers live calls from AI to a human agent inside the same SIP session, with one continuous recording file for the entire conversation. No other AI voice provider does this — here's why it matters for QA, CSAT, AHT, and RBI FPC + IT Act evidentiary defensibility.
Run a browser softphone for your office team and a mobile-phone bridge for field agents in the same dialque tenant. Concrete admin steps, campaign overrides, inbound routing, and a 25-agent BFSI deployment story with real ₹ numbers.
We shipped mobile-phone dialing because field-lending officers, insurance surveyors, and small tier-3 teams told us their agents work off a phone, not a desk. Here's how the mode works, when it beats the browser softphone, what breaks (predictive autodial), what doesn't (warm transfer, dispositions), and a concrete cost breakdown for 10 field agents on BYOC.
Browser softphone (WebRTC) is the default for office teams with wired internet and headsets — better audio, lower per-minute cost, and it is the only mode that supports predictive autodial. Agent-mobile-phone mode wins for field teams and tier-2/3 India where mobile networks beat flaky office fibre. Here is the honest trade-off with the cost math.
What "call centre solutions" actually covers in 2026, the cloud vs on-prem vs hybrid trade-off, the 12-point feature checklist every buyer should score against, and the compliance rails no vendor should skip. Written for teams evaluating a first platform or replacing an ageing PBX.
The three unit-economics comparisons that matter: cost per attempt, cost per meaningful conversation, and cost per outcome. When an AI calling bot wins, when a human agent wins, and how to design a hybrid stack that captures both.
What a virtual recovery agent actually does across DPD buckets, how the RBI Fair Practice Code shapes the design, the real per-contact math versus a human tele-calling floor, and a two-week deployment plan for NBFCs and banks.
What "dialer service" actually covers, DLT setup steps for a Gurugram team, real pricing bands from ₹1,500/agent, and the five questions to ask any vendor before you sign. Written for BPO, BFSI, and SaaS teams operating out of Cyber City, Udyog Vihar, and Golf Course Road.
Where an AI voice agent belongs in the collections funnel by DPD bucket, what the RBI FPC, TRAI, and DLT rules demand, and what to actually test in a two-week pilot.
How a presales AI voice agent handles first-touch on inbound MQLs — ICP fit, BANT qualification, and calendar handoff to human AEs — plus where it breaks. A practical guide for Indian RevOps leads.
A practical guide for Indian sales leaders on which outbound calls fit an AI voice agent, which stay human, and what to actually measure in a two-week pilot.
A CX head's guide to swapping legacy touch-tone IVR for a conversational AI voice agent — deflection math, Indian compliance, helpdesk integrations, and the failure modes nobody warns you about.
SMS and email survey response rates have collapsed to single digits. Here is how an AI voice agent for feedback lifts NPS and CSAT completion in India, and where it still breaks.
A technical evaluation guide for Mumbai NBFC collections heads picking a cloud dialer — dial modes by bucket, TRAI abandon-rate maths, DLT for Marathi SMS, and RBI recording rules.
RBI outsourcing rules, DPDP Act 2023, and SEBI broker-dealer circulars set three different retention clocks and consent standards on the same call recording — here is how a Mumbai BFSI team reconciles them into one architecture.
A practical evaluation guide for Bengaluru SaaS SDR managers running 15-40 reps across US and India outbound: latency math, dial modes per market, TCPA and TRAI compliance, HubSpot and Salesforce sync depth.
A technical build-vs-buy walkthrough for Bengaluru fintechs weighing dialer options against RBI data localisation, TRAI calling rules, and the real cost of running your own Asterisk stack in AWS Mumbai.
dialque runs AI voice agents that place and receive calls end-to-end — no human agent required, with Hindi + regional-language support, TRAI-compliant pacing, and warm handoff to a human when needed. Here is how it works, when it fits, and what it costs.
Cloud is fast to start and low-ops. Self-hosted is cheaper at volume and gives you data residency. Hybrid is the middle path. Here is how to pick based on team size, compliance, and engineering capacity.
Per-user looks predictable but penalises low-utilisation seats. Per-minute looks fair but punishes growth. Per-active-user is the third option that very few vendors offer. Here is the math.
Predictive maximises talk time but punishes small teams with abandon-rate penalties. Power is safe but slow. Progressive is the middle ground. Here is how to pick.
DLT is mandatory for any voice or SMS sent to Indian numbers from a business sender. Here is the step-by-step process across all three operators, common rejection reasons, and how long it actually takes.
The phrase "B2B is exempt" gets thrown around a lot. It is half-true and the half that is wrong gets businesses suspended. Here is the real rule, with citations.
WhatsApp is now the highest-converting outbound channel in India. Here is what the API actually costs, which BSP to pick, and how to get message templates approved without 3 rejections.
A complete walkthrough of how dialque is structured: the dial-mode engine, IVR, AI summaries in Hindi, DLT + NDNC enforcement, transparent pricing, and the three ways to deploy.
Setting up a 25-seat WFH contact centre in India costs ₹4-7 lakh/month all in. Here is the actual line-item breakdown and which costs scale linearly vs flat.
Asterisk gives you total control at the cost of telephony expertise. Twilio is the dev-friendly hosted alternative but priced for global scale, not India bulk. Here is when each is the right answer.
A 10-agent SDR team running power dialer connects to 38% of dials vs 12% manual. The talk-time uplift pays back the dialer in week 2. Here is the math.
India has no two-party consent law for call recording, but the DPDP Act 2023 and IT Act SPDI rules impose data-handling obligations that catch most teams off guard. Here is the actual rule.
English-first IVRs fail Tier 2-3 callers. Picking which Indian languages to support is a regional + use-case decision. Here is the data and the practical setup.
Most contact-centre dashboards track 20 metrics; 4-5 of them actually drive decisions. Here is which KPIs to chase, which to ignore, and why TRAI cares about exactly one of them.
Most PBX migrations fail because they try to flip the whole stack on cutover day. A phased rollout — new dialer running alongside the old PBX for 2-4 weeks — is how this is actually done.
Your numbers get flagged for three reasons: low answer rate, short call duration, and reused caller IDs. Fix the inputs, not the symptom.
You do not need Cassandra. With careful schema, partitioning, and SKIP LOCKED, Postgres handles a serious dial workload at a fraction of the cost.