Sell.Do vs Converiqo AI: Real-Estate CRM or AI Layer?

Sell.Do is an AI-native revenue operating system for Indian real estate: a ten-module CRM with Jarvis AI for lead scoring, voice callbacks and call analysis. Converiqo AI (by Mobiloitte) is an enterprise AI workflow automation platform. It answers buyers on every channel, in Arabic or English, from approved content, and carries the work through handover snags, contractors and procurement.

How do Sell.Do and Converiqo AI compare at a glance?

CapabilitySell.Do (+ Jarvis AI)Converiqo AI (by Mobiloitte)
Positioning"The AI-Native Revenue Operating System for Real Estate"; "Made for Indian real estate"Enterprise AI workflow automation platform, across industries
Real-estate CRM depthPre-sales, sales, inventory and negotiations, channel partners, post-sales, customer portalLead pipeline and buying signals; works alongside a real-estate CRM
Conversation channelsCalling, WhatsApp, email, SMS, RCS; Instagram and Meta as lead-ad sourcesWebsite, WhatsApp, email, SMS, Instagram and Messenger DMs, Telegram, LinkedIn, voice
Voice AICalls back new leads, books site visits, 11 Indian languages, call analysisInbound and outbound, pre-launch test console, live monitor, dispositions
Languages for Gulf buyersArabic not publicly documentedEnglish and Arabic, including native right-to-left interface rendering
AI content groundingDrafts use unit details from live inventory; a rep reviews before sendingApproved knowledge with citations; second-person approval workflow
Testing and releasesSandbox, test suites and versioning not publicly documentedRelease candidates, validation, scenario tests, release reference
Beyond salesCollections, handover tracking, channel-partner field forceAfter-sales tickets, field jobs, procurement, vendor and employee service
Security (as worded)ISO/IEC 27001:2022; SAML and Google SSO; OTP two-factor; masking by role; field-view audit logsCloud infrastructure SOC 2 Type II & ISO 27001; platform controls aligned; OIDC SSO, MFA, custom roles, masked records with reason-logged access
HostingIndiaCloud, private cloud or on-premises

Choose Converiqo AI if…

Engineered for developers and brokerages handling international buyers, multi-channel DMs, and post-booking operations

  • Omnichannel Direct Messaging: Buyers reach you on your website, Instagram DMs, Telegram or email, not only by phone and WhatsApp.
  • Gulf & NRI Multilingual Readiness: You sell to Gulf or NRI buyers and need native Arabic support, or deployment options outside India.
  • Operations Beyond Booking: The work continues after booking: handover snags, contractor queries, material procurement, and facility staff requests.
  • Auditable Knowledge & Pre-Release Testing: AI answers must come strictly from content your team approved with source citations, scenario-tested before each release.

Where do buyers start the conversation?

The view: a buyer who messages on Instagram at 10 pm expects an answer there, not a form to fill in.

The evidence: Sell.Do's communication hub covers calling, WhatsApp, email, SMS, RCS and drip campaigns. Jarvis replies to inbound WhatsApp messages and books site visits. Instagram and Meta appear as lead-ad sources. Web chat and Instagram or Messenger direct-message conversations are not publicly documented. Converiqo AI (by Mobiloitte) runs one assistant across the website, WhatsApp, email, SMS, Instagram, Messenger, Telegram, LinkedIn and voice, all on the same approved knowledge. See lead generation automation.

Can it serve buyers in the Gulf?

The view: Indian developers increasingly sell to NRI buyers in the UAE, and Gulf brokers need Arabic.

The evidence: Sell.Do describes itself as “Made for Indian real estate”. Its voice agent covers 11 Indian languages, and its security page states that data is hosted in India. Sell.Do connects to UAE portals Bayut and Property Finder, but Arabic support and hosting outside India are not publicly documented. Converiqo AI (by Mobiloitte) supports English and Arabic conversations, including right-to-left, and can be deployed in the cloud, a private cloud or on-premises. converiqo.ai itself has an Arabic edition.

Who controls what the AI tells buyers?

The view: in real estate, a wrong answer about possession dates or approvals is a legal risk, not just a poor experience.

The evidence: Sell.Do's content agent drafts messages from the call, the site visit and the unit held. Unit details come from live inventory rather than being invented, and a sales rep reviews each message before sending. That is a sound control for outbound drafts. The choice of AI model, knowledge-base answers with citations, and pre-release testing are not publicly documented. In Converiqo AI, project FAQs and policies go live only after a second authorised reviewer approves them, and answers cite the source. Releases are validated and scenario-tested before customers see them.

What happens after the booking?

The view: the customer relationship lasts through construction, handover and years of maintenance.

The evidence: Sell.Do covers post-sales collections and handover tracking, and its broker app runs a geo-verified channel-partner field force. Employee service, procurement and vendor operations beyond brokerage are not publicly documented. Converiqo AI (by Mobiloitte) turns handover snags into tickets with service targets and dispatches site inspections as field jobs with photo proof. Material requests go through approval, RFQ and quote comparison to purchase orders, and contractor queries are handled as vendor support. See field force automation and procurement automation.

How does an NRI buyer's journey run with both?

StepWhat happensPlatform
1. First answerAnswered from the approved project FAQ, with RERA details and possession timeline, citing the sourceConveriqo AI
2. Lead handoverThe lead goes to the CRM with its source and consent, through the API and signed webhooksConveriqo AI → Sell.Do
3. Scoring and follow-upJarvis scores intent and recommends the next best actionSell.Do
4. Virtual walkthroughBooked on the NRI desk's synced calendar, with reminders in quiet-hour windowsConveriqo AI
5. After handoverA snag becomes a ticket; a site engineer is dispatched with photo proofConveriqo AI
6. Replacement fittingsA purchase request goes through approval and RFQ to a purchase order for the contractorConveriqo AI

How do security and privacy compare?

Sell.Do's security page documents strong CRM security:

  • ISO/IEC 27001:2022, issued to its operating company
  • SAML and Google single sign-on, with OTP two-factor sign-in
  • IP restrictions by role, and sensitive fields masked by role
  • audit logs that record “who viewed which sensitive field”
  • retention and deletion schedules, and DPDP-aligned processing
  • data hosted in India

Converiqo AI (by Mobiloitte) operates on SOC 2 Type II and ISO 27001 certified cloud infrastructure, with application controls aligned to enterprise standards. It provides OIDC single sign-on, MFA and custom roles. Records are masked by default, and each protected access has a time limit and a recorded reason, visible to the client. Consent is recorded by channel and purpose, and deployment can be cloud, private cloud or on-premises. It is designed to support obligations under India's DPDP Act, the EU GDPR and the UAE PDPL. See security and data compliance.

How does the combined setup stay reliable?

Converiqo AI exchanges data through scoped API keys and verified webhooks, with delivery history and retries. Administrators see integration readiness and per-channel delivery events on a daily dashboard. Sell.Do states that it offers a REST API, HMAC-signed webhooks and an MCP server with the same permissions as its interface.

Should you replace Sell.Do or run both?

For developers and brokers already on Sell.Do, run both. Sell.Do stays the real-estate CRM of record, and Converiqo AI answers buyers on every channel and runs the after-sales, contractor and procurement work. Firms without a real-estate CRM can start with Converiqo AI's lead pipeline and add a CRM later. Either way, go-live follows the same path: access, business rules, approved project knowledge, channels, team queues, then tested journeys.

Frequently asked questions

Jarvis is Sell.Do's AI layer inside its real-estate CRM. It scores leads by intent and recommends the next best action. It also runs voice agents that call back new leads and book site visits in Indian languages, analyses sales calls for quality and compliance, and drafts follow-up messages from CRM and inventory data for reps to review.
Converiqo AI (by Mobiloitte) connects to other systems through scoped API keys and verified webhooks. Sell.Do states that it offers a REST API, HMAC-signed webhooks and an MCP server. Teams usually pass qualified leads, with their source and consent, from Converiqo AI to Sell.Do, keeping Sell.Do as the CRM of record.
As of September 2026, Sell.Do's pages describe it as made for Indian real estate, with voice in 11 Indian languages and data hosted in India. It connects to the UAE portals Bayut and Property Finder. We found no public documentation of Arabic support. Converiqo AI (by Mobiloitte) supports English and Arabic conversations.
Yes. Converiqo AI (by Mobiloitte) turns homebuyer complaints into support tickets with owners and resolution targets. It dispatches site inspections as field jobs with check-in and photo proof, and raises purchase requests for replacement materials through an approval route. Follow-up surveys close the loop with the buyer.
Brokers who need inventory, channel-partner commissions, geo-verified site visits and a mobile broker app will find these in Sell.Do. Brokers who mainly need fast, approved answers across Instagram, WhatsApp, web chat and voice, in English and Arabic, with booking and follow-up, can run Converiqo AI (by Mobiloitte) alone or alongside a CRM.
Sell.Do's security page states ISO/IEC 27001:2022 certification and says its controls are mapped to the SOC 2 Trust Services Criteria. It does not state a SOC 2 report or attestation. Buyers with formal SOC 2 requirements should ask Sell.Do directly for its current position.

Answer every buyer, finish every job: book a 30-minute AI Workflow Audit

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