21072026 Bharath, Editorials:
…….Contd from How Indian GenAI StartUps Are Winning Enterprise Wallets in 2026 2/2.
Enterprise AI Vendor Checklist
Use this list to quickly qualify GenAI / enterprise AI vendors before pilots or large contracts.
1. Problem fit and use-case clarity
- Can the vendor clearly map their product to your top 2–3 use cases (e.g., contact centre QA, lead scoring, contract review, demand forecasting)?
- Do they show before/after metrics (AHT reduction, CSAT uplift, revenue per agent, time saved per task) from similar Indian or global enterprises?
2. Data, security and compliance
- Where is data stored? Can they meet your data localisation and residency needs (India-region or specific cloud zones)?
- Do they support role-based access, audit logs, encryption at rest and in transit, and SSO/IDP integration?
- Are they ready for your industry’s compliance needs (RBI, SEBI, IRDAI, HIPAA-equivalent policies, SOC 2, ISO 27001, etc.)?
3. Model and product architecture
- Are they using vertical or domain-tuned models (contact centre, legal, healthcare, supply chain) or just generic LLM wrappers?
- Do they explain how the model is fine-tuned (data sources, update cadence, evaluation benchmarks)?
- Can they support multi-lingual / Indian language use (at least Hindi + 2–3 regional languages) where relevant?
4. Integration and workflow fit
- Do they have ready connectors/SDKs for your stack (CRM, contact centre platform, ticketing, ERP, data warehouse)?
- Can the workflow run inside tools your teams already use (e.g., CRM side-panel, agent assist widget, email plugins, Slack/Teams bots)?
- Is there a realistic go-live plan (config, sandbox, UAT, phased rollout) in under 8–12 weeks?
5. ROI model and pricing
- Do they present a clear ROI model for 6–12 months (e.g., INR X saved per call, Y% faster closure, Z% fewer escalations)?
- Is pricing aligned with your usage pattern (seats, volume, API calls, or outcome-linked where possible)?
- Are there transparent costs for pilots, integrations, custom features, and ongoing support?
6. Governance, safety and change management
- Do they provide guardrails against hallucinations (human-in-the-loop review, confidence scores, restricted actions)?
- Is there an admin console to set policies (what GenAI can and cannot answer, sensitive topics, escalation paths)?
- Do they include training for your teams, playbooks, and documentation to drive adoption—not just deploy the tool and disappear?
7. Track record and roadmap
- Do they have live, paying enterprise customers in India or similar markets, ideally with case studies?
- Can they share a 6–12 month roadmap that aligns with your needs (languages, channels, regulations)?
- Is the founding / leadership team experienced in enterprise sales and support, not only research?
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View More To Know More:
- ?https://en.wikipedia.org/wiki/Yellow.ai
- https://www.uniphore.com/press-releases/uniphore-raises-400-million-to-support-explosive-growth-and-global-demand-for-automating-conversations-across-the-enterprise/
- https://www.business-standard.com/article/companies/observe-ai-raises-125mn-in-series-c-funding-led-by-softbank-vision-fund-2-122041201098_1.html
- https://cio.economictimes.indiatimes.com/news/artificial-intelligence/bcg-report-unveils-genais-untapped-potential-to-reinvent-indias-ites-industry/118684291
- https://nasscom.in/knowledge-center/publications/nasscom-ai-adoption-index
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