SquadStack.ai Launches Revenue‑Linked Pricing Model for Voice AI Sales Agents

National, September 14, 2026: SquadStack.ai, India’s leading Voice AI platform for consumer sales, today announced the launch of an outcome‑based pricing model for its Voice AI sales agents. Under the new approach, SquadStack ties its fees to the revenue generated by its agents rather than charging per minute or per conversation. The model is live for sales use cases in banking and financial services and will be rolled out to additional sectors in the coming months.

Why this matters

• Moves the industry focus from inputs to outcomes. Traditional per‑minute pricing treats minutes as the product; SquadStack argues enterprises buy outcomes—disbursals, renewals, enrolments—not minutes.
• Aligns vendor incentives with client revenue. By sharing in the upside, SquadStack assumes part of the commercial risk and is incentivised to optimise conversion, not just call volume.
• Designed for measurable business impact. Pricing combines a low fixed base with a success fee tied to agreed business outcomes and benchmarks established during pre‑launch design days.

How the model works

• Fixed base + success fee: Customers pay a modest fixed fee to run agents and a success fee based on the business outcome (for example, a share of disbursed loan value or a fee per card issued).
• Design days and baseline modelling: Before go‑live, SquadStack conducts collaborative design days with the customer to map the sales funnel, set baseline metrics, and model expected lift.
• Custom splits: The split between fixed and success components is negotiated per customer and per use case to reflect risk, scale, and commercial priorities.

Apurv Agrawal, Co‑founder & CEO, SquadStack.ai: “Two rupees a minute is a trap. Per‑minute pricing turns voice AI into a BPO with better margins and pays vendors not to care whether the call is converted. Cutting calling costs by 60% saves a lender about 2% of revenue; lifting conversion by 10–15% adds 10–15% of revenue. We run thousands of experiments in parallel—on timing, language, framing and follow‑up—so the best outcomes compound with every call. We’re willing to price on that outcome.”

Proven production record
SquadStack brings six years of production experience and a track record of measurable outcomes for India’s largest consumer brands:

• DMI Finance: Over ₹700 crore disbursed through the platform; 30% higher disbursals than human agents.
• BankBazaar: Engaged 8+ crore leads while halving cost of acquisition.
• IndiaMART: Delivered 20% higher conversions at 15% lower cost across 2+ crore buyer leads in year one.
• Platform scale: Runs 50 lakh+ AI calls daily for 60+ large consumer brands.
• Proof‑of‑concept success: 93% of POCs convert to full production (industry average ~25%).

Technology and capability

• In‑house models: SquadStack’s agents run on proprietary models—Arth for speech recognition and Maya for sales reasoning—trained on 60 crore+ minutes of Indian sales conversations.
• Performance claims: Up to 90% lead connectivity, 40% more conversions, and 2–3x lower cost of acquisition in live deployments.
• Use cases: Personal lending, credit cards, insurance renewals, enrolments and other revenue‑driven outbound sales funnels.

Industry context
Outcome‑based pricing has gained traction in the US for support interactions (per resolved interaction). SquadStack is pioneering a comparable shift for outbound sales in India – an environment where attribution is harder and outcomes are revenue‑centric. By staking its fees on revenue outcomes, SquadStack aims to accelerate enterprise adoption of Voice AI while aligning commercial incentives.

About SquadStack.ai
SquadStack.ai builds and manages outcome‑driven Voice AI agents for consumer sales in India. The company’s agents deliver personalised pitches in local languages, on preferred channels, and at optimal times—driving higher connectivity and conversions. SquadStack is headquartered in Noida and backed by Bertelsmann India Investments, Chiratae Ventures, and Blume Ventures.