# EASY SERVE ASSIST

> EASY SERVE ASSIST is an AI-assisted revenue engine for B2B and B2C from EASY SERVE Communication in New Delhi, India. For B2B, it helps teams find, review, prioritise, engage and qualify relevant prospects. For B2C, it helps teams identify stronger audience segments and signals, acquire better-fit leads, and coordinate engagement, qualification and nurturing toward conversion.

Updated: 2026-09-12

The public workspace uses illustrative sample data. Live prospect or audience data, advertising, messaging, CRM, calendar and voice services require a scoped production implementation and appropriate provider access. Pricing is tailored; no fixed public price, independent rating or performance guarantee is claimed. A unified cross-social communication and social-media management workspace, including SEM and SEO coordination, is planned for late September 2026; it is not currently presented as live, and its timing or scope may change.

## Product

- [Product overview](https://assist.easyserve.ai/product/): What EASY SERVE ASSIST is, its operating model and the distinction between the public demo and a production deployment.
- [B2C audience intelligence](https://assist.easyserve.ai/b2c/): Audience-segment and signal identification, lead acquisition context, multichannel engagement, qualification and nurture for B2C teams.
- [Features](https://assist.easyserve.ai/features/): B2B prospect intelligence, B2C audience intelligence, contextual message preparation, workflow coordination, human approvals, qualification, nurture and reporting.
- [Solutions](https://assist.easyserve.ai/solutions/): Use cases for sales teams, marketing agencies, founders, real estate, healthcare and enterprise teams.
- [Channels](https://assist.easyserve.ai/channels/): Google RCS, WhatsApp Business, email, SMS, LinkedIn and AI Voice workflow context.
- [Integrations](https://assist.easyserve.ai/integrations/): Production pathways for authorized Meta or Google advertising accounts, conversion measurement, CRM, calendar, data, webhooks and communication providers.
- [Security](https://assist.easyserve.ai/security/): Deployment controls, human review, data boundaries and responsible-operation guidance.
- [Pricing](https://assist.easyserve.ai/pricing/): Inputs used to scope Professional and Enterprise deployments.
- [Product facts](https://assist.easyserve.ai/ai/product.md): Concise product reference.

## Company and contact

- [About EASY SERVE](https://assist.easyserve.ai/about/): Company background, leadership and operating values.
- [Contact EASY SERVE](https://assist.easyserve.ai/contact/): Product enquiry form, email and telephone contact.
- [Company facts](https://assist.easyserve.ai/ai/company.md): Official identity, founder and contact reference.
- Founder: [Sachin Kumar Mittal](https://sachinkumarmittal.com/).

## Resources and evidence

- [Resource centre](https://assist.easyserve.ai/resources/): Product guides and case studies.
- [RCS business messaging guide](https://assist.easyserve.ai/resources/rcs-business-messaging/): Practical context for branded RCS business conversations.
- [Human-in-the-loop AI guide](https://assist.easyserve.ai/resources/human-in-the-loop-ai/): Where people should review, approve or take over AI-assisted workflows.
- [Retail RCS campaign case study](https://assist.easyserve.ai/case-studies/retail-rcs/): An India-targeted campaign snapshot reporting 8.79 million messages sent, 3.77 million delivered, 1.61 million read and 13,730 clicks. These figures describe one campaign and are not a guarantee.
- [Frequently asked questions](https://assist.easyserve.ai/ai/faq.md): Direct answers about capabilities, channels, integrations, approvals, pricing and the public demo.

## Policies and machine-readable references

- [Privacy notice](https://assist.easyserve.ai/privacy/): How the public website handles enquiry information.
- [Website terms](https://assist.easyserve.ai/terms/): Terms and public-demo limitations.
- [Full AI-readable overview](https://assist.easyserve.ai/llms-full.txt): Expanded product, company and evidence context.
- [Generative-discovery context](https://assist.easyserve.ai/geo.txt): A concise, explicitly non-standard reference.
- [Consolidated JSON-LD](https://assist.easyserve.ai/schema.json): Organization, founder, website, web-application and case-study entities.

`llms.txt`, `ai.txt` and `geo.txt` are supplemental, non-standard discovery aids. They do not replace crawlable HTML, robots.txt, structured data, website policies or the canonical pages above.