Voice AI Vendor RFP Scoring Rubric for Indian Enterprises 2026: 9 Categories, 47 Criteria, How to Evaluate Without Falling for Demos
A chief procurement officer at a top-three Indian NBFC told us last quarter that she had received seventeen voice AI vendor pitch decks in the previous twelve months. Fourteen of them claimed market leadership. Twelve claimed the lowest WER in India. Ten claimed the most languages. Eight claimed the cheapest per-minute pricing. None of them claimed all four. After ninety days of inconclusive demos, her team had still not picked a vendor — because every demo was choreographed and every claim was un-comparable to every other claim.
The Indian voice AI vendor market in 2026 has 30+ active vendors and no objective comparison framework. Pitch decks have converged on the same five claims and the same three demo flows. Procurement teams need a structured RFP rubric that forces vendors to answer the same questions in the same units, makes apples-to-apples comparison possible, and turns vendor selection into a defensible analytical exercise instead of a vibes-based decision.
This is that rubric. Nine categories, 47 criteria, weighted scoring. It is built from the procurement processes we have seen go well and the ones we have seen go badly across 2024-26 in Indian BFSI, NBFC, healthcare, edtech and Q-commerce deployments.
This rubric is general-purpose. Specific industries will weight categories differently. The weights below are the typical Indian enterprise baseline; adjust per your context.
The 9 evaluation categories and their typical weights
| # | Category | Weight | What it measures |
|---|---|---|---|
| 1 | Indian language quality | 18% | WER, EER, code-switch handling on Indian telephony |
| 2 | Compliance and security | 17% | TRAI DLT, DPDP, ISO 27001, SOC 2, audit trail |
| 3 | Telephony and integrations | 13% | Indian carrier integrations, CRM, ERP, ITSM, voice channel |
| 4 | Conversational latency | 10% | Time-to-first-word, end-to-end loop latency, jitter handling |
| 5 | Operational support | 10% | Onboarding, ops bench, escalation SLAs, India presence |
| 6 | Vendor maturity and references | 9% | Production deployments, references, financial stability |
| 7 | Pricing model and unit economics | 8% | Per-call vs per-minute vs per-outcome, TCO over 24 months |
| 8 | Reporting and observability | 8% | Dashboards, conversation analytics, A/B testing tools |
| 9 | Platform extensibility | 7% | API surface, custom workflow tools, fine-tuning options |
| Total | 100% |
Category 1 — Indian language quality (weight 18%)
The make-or-break category for any Indian deployment. Six criteria:
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Demonstrated WER on the buyer's own audio samples (50 samples minimum, Hindi + four regional languages). Score: lower is better. Threshold: Hindi < 12%, regional < 18% on telephony + code-switch.
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Code-switch recovery rate (CSR) measured on samples with deliberate mid-sentence language toggles. Threshold: > 88%.
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Entity error rate (EER) on Indian named entities: PAN, account numbers, IFSC, amounts, dates, person names. Threshold: < 2%.
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Number of Indian languages with production-grade WER (defined as < 18% on telephony). Score: count.
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Accent coverage diversity — does the vendor's training corpus cover Hindi from 10+ cities, Tamil from 5+ cities, etc.? Score: documented evidence.
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Code-switch directional handling — Hindi-to-English transition specifically, where most failures happen. Score: pass/fail on a 20-sample test.
The bake-off methodology is documented in the WER benchmark blog. Run it on 50 of your own audio samples before signing.
Category 2 — Compliance and security (weight 17%)
Eight criteria:
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TRAI DLT readiness: PE/TM/Aggregator chain, template registration evidence, scrubbing at dial-time. Score: pass/fail with documentation.
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DPDP 2023 readiness: consent capture, purpose binding, data principal rights handling (access, correction, erasure). Score: pass/fail.
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Data residency: Indian-region storage of audio, transcripts, metadata. Score: pass/fail.
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Certifications: ISO 27001, SOC 2 Type 2, RBI DEPA-compliance for BFSI. Score: count of relevant certifications.
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Encryption posture: at-rest AES-256, in-transit TLS 1.3, key management story. Score: documented.
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Audit trail: per-call audit log retained 6+ months, queryable. Score: pass/fail.
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Vulnerability management: penetration test cadence, CVE response SLA. Score: documented.
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Indemnification for compliance breaches: vendor financial responsibility for DLT, DPDP, IT Rules violations caused by the platform. Score: contract clause review.
Compliance is binary for most regulated buyers — failure on any single criterion in this category disqualifies the vendor.
Category 3 — Telephony and integrations (weight 13%)
Six criteria:
-
Indian telephony partner integrations: Plivo, Exotel, Knowlarity, Ozonetel, Tata Tele as native integrations. Score: count of live integrations.
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CRM integrations: Salesforce, Zoho, HubSpot, LeadSquared, Kylas. Score: count of live integrations with conversation logging.
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ITSM / ticketing integrations: Freshdesk, Zendesk, ServiceNow, Kapture. Score: count.
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ERP integrations: SAP (ECC + S/4HANA), Oracle, MS Dynamics, Tally for SMB. Score: count.
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Calendaring: Google Calendar, Outlook, Zoom. Score: count.
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Voice channel diversity: inbound, outbound, IVR replacement, WhatsApp voice, embedded SDK. Score: count.
The "do you have an integration with X" question should be answered with a customer reference, not a slide.
Category 4 — Conversational latency (weight 10%)
Five criteria:
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Time-to-first-word (TTFW): time from end of customer's sentence to start of bot's response. Threshold: < 800 ms p50, < 1500 ms p95.
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End-to-end loop latency: customer audio in to bot decision + response audio out. Threshold: < 2 seconds p95.
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Jitter handling: bot's behaviour at 50-200 ms network jitter. Score: subjective demo evaluation.
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Network resilience: bot's behaviour at 1-3% packet loss. Score: subjective demo evaluation.
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Interruption handling: does the bot detect when the customer interrupts and stop talking? Score: pass/fail on a 10-sample test.
Latency above the threshold turns the conversation from fluid to stilted; customer abandonment jumps.
Category 5 — Operational support (weight 10%)
Five criteria:
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India-based ops team: time-zone alignment, support channel hours. Score: documented hours and SLA.
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Onboarding playbook: structured onboarding doc, dedicated CSM. Score: documented.
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Escalation path: P0/P1/P2 SLA in writing, named contacts. Score: documented.
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Production incident response history: vendor's last 12 months of P0/P1 incidents with resolution times. Score: documented (vendor must share).
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Fine-tuning support cadence: how often can the vendor re-train on the buyer's specific data? Score: documented (weekly, monthly, quarterly).
Category 6 — Vendor maturity and references (weight 9%)
Five criteria:
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Years in operation. Threshold: > 24 months for a production-critical deployment.
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Production deployments in your industry: count of named customer references in BFSI/NBFC/Q-com/edtech/healthcare matching your category.
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Reference call availability: can you call 3 named customers in your industry? Score: pass/fail.
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Financial stability: revenue, funding stage, runway. Score: documented (private discussion).
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Founder/leadership accessibility: can you talk to a founder or VP within 5 business days of a P0 escalation? Score: pass/fail.
Category 7 — Pricing model and unit economics (weight 8%)
Six criteria:
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Pricing model clarity: per-call / per-minute / per-outcome. Score: documented.
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What counts as a "call": is a 5-second dropped call billable? Is a transferred call billable to the vendor's portion? Score: documented edge cases.
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Telephony pass-through transparency: is it bundled or itemised? Score: documented.
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Volume discount structure: at what monthly volume does the price step down? Score: documented.
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Contract term flexibility: month-to-month, 6-month, 12-month options. Score: documented.
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24-month TCO: total cost of ownership including integration, onboarding, run-rate, escalation, fine-tuning. Score: numeric.
The lowest per-minute rate is rarely the lowest TCO. The TCO question forces a fuller comparison.
Category 8 — Reporting and observability (weight 8%)
Three criteria:
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Conversation analytics: full transcript search, sentiment, escalation trigger analysis. Score: demo evaluation.
-
Dashboard / API access: real-time KPIs (deflection rate, CSAT, FCR, AHT), API to pull metrics into internal data warehouse. Score: pass/fail.
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A/B testing tooling: built-in split testing of conversation flows, statistical-significance reporting. Score: documented.
Category 9 — Platform extensibility (weight 7%)
Three criteria:
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API surface for custom workflows: can the buyer's engineering team build new conversation flows without vendor professional services? Score: documented.
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Webhook / event subscription model: real-time push of call events to buyer's downstream systems. Score: documented.
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Fine-tuning self-service: can the buyer's team submit training data and trigger model re-training, or is this vendor-side only? Score: documented.
How to run the RFP — five steps
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Send the rubric to 4-6 vendors with a structured response template. Require numeric scores per criterion + supporting documentation per category.
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Score the responses as a single PM-led analytical exercise. Use the weights above (adjust per industry). Eliminate any vendor that fails a compliance-category criterion.
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Shortlist 3 vendors for the deep bake-off — language quality test on your own audio, latency test on your own telephony, reference calls.
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Run the bake-off on a 30-day shadow pilot before signing. The vendor that scored highest on paper may fail in shadow if their fine-tuning velocity is slower than their pitch suggested.
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Sign with the highest weighted score among bake-off survivors. Document the rubric scoring in the procurement file so the decision is defensible to the audit committee.
This rubric is opinionated. It will eliminate vendors who are competitive on price but weak on Indian language, or strong on demos but weak on TRAI DLT. That is the design. A voice AI vendor that cannot meet the rubric is not the right vendor for an Indian enterprise deployment.
Talk to us if you are running a voice AI vendor RFP and want a working version of this scoring rubric in spreadsheet form, with industry-specific weight presets — caller.digital has shipped the rubric to procurement teams at NBFCs, insurance carriers, healthcare networks and Q-commerce platforms running real selection processes in 2026.
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