Gallabox vs Converiqo AI: Beyond the WhatsApp Chat
Gallabox offers omnichannel AI agents for customer conversations on WhatsApp, Instagram and web chat, built for sales and marketing teams that want leads, bookings and payments from chat. Converiqo AI (by Mobiloitte) is an enterprise AI workflow automation platform. It carries the same conversation through to the field visit, the purchase order and the service ticket that follow it.
How do Gallabox and Converiqo AI compare at a glance?
| Capability | Gallabox | Converiqo AI (by Mobiloitte) |
|---|---|---|
| Built for | "Omnichannel AI agents for customer conversations"; revenue teams | Enterprise AI workflow automation across sales, service and operations |
| Channels | WhatsApp, Instagram, web chat | Website, WhatsApp, email, SMS, Instagram, Messenger, Telegram, LinkedIn, voice |
| AI agents and channels | "One agent handles one channel" | One assistant across channels, with shared knowledge |
| Live takeover on web chat | "No live takeover available"; visitors are routed to WhatsApp | Live agents claim, reply and hand back |
| Knowledge | Files and website crawl, hybrid search; citations not publicly documented | Second-person approval before use; answers cite the source |
| Releases | AI agents have drafts; rule-based flows have "only one live version" | Release candidates, validation, scenario tests, release reference |
| Voice AI | "Alpha Stage", "supports incoming calls only" on WhatsApp calling | Inbound and outbound, pre-launch test console, live monitor, call dispositions |
| Tickets, field jobs, procurement | Not publicly documented | Support tickets with service targets, field dispatch with proof, purchase requests to purchase orders |
| Security attestation | SOC 2 Type II, no exceptions noted (Jan 2025 – Jan 2026); ISO 27001 "not certified" | Cloud infrastructure SOC 2 Type II & ISO 27001; platform controls aligned |
| Data location | "Stored in the United States" | Cloud, private cloud or on-premises |
Choose Converiqo AI if…
Built for enterprise operations that need more than a conversational front-end
- Post-Chat Operational Execution: After the chat, someone has to go on site, order material or fix something, and you want that work tracked end-to-end with a dedicated owner.
- True Omnichannel Live Takeover: Customers write in on email, Messenger, Telegram, or your website, and a live agent can seamlessly claim and take over on any of them without routing away.
- Pre-Launch Testing & Versioning: You want to test and version changes with scenario validation, release candidates, and audit references before customers ever interact with them.
- Strict Data Sovereignty: Your data must stay in India, the UAE or your own environment with flexible private VPC and on-premises deployment options.
What happens after the chat?
The view: for service businesses, a qualified lead or a booked slot is where the real work starts.
The evidence: Gallabox's Flow Builder calls external tools, such as creating a Razorpay payment link, a Zoho lead or a Google Sheets row, and its AI agents can call APIs and assign conversations to the inbox. Ticket objects, internal approvals, field dispatch and procurement are not publicly documented. In Converiqo AI (by Mobiloitte), conversations become support tickets with response and resolution targets. They also become field jobs, dispatched by route with check-in, check-out and proof of service, and purchase requests that move through approval, RFQ and quote comparison to a purchase order. See field force automation and procurement automation.
Why it matters: the promise made in chat is kept, and you can see who kept it.
Can one AI agent serve every channel, with a human ready to step in?
The view: customers switch channels, and hard cases need a person.
The evidence: Gallabox's documentation says “One agent handles one channel”, so each channel gets its own agent. On web chat there is “No live takeover available”, and visitors are routed to WhatsApp instead. Converiqo AI runs one assistant, on shared approved knowledge, across nine channels. Live agents work from a console where they claim a conversation, read its history and handoff reason, reply, and hand it back to the assistant when the next step is clear.
Why it matters: one set of answers to maintain, and no customer is forced to switch apps to reach a person.
How are changes released without breaking live chats?
The view: editing a live bot directly is a risk once volumes grow.
The evidence: Gallabox AI agents have a draft state. Its rule-based Flow Builder offers a test simulator, but “Publishing updates the flow in place — there's only one live version”, and conversations in progress continue on the updated flow. Version history and rollback are not publicly documented. Converiqo AI builds each change as a release candidate with its dependencies, validates it, runs scenario tests for lead capture, booking and handoff, and records a release reference on publish.
Why it matters: you can see what changed and when, and put it right with confidence.
How mature is the voice agent?
The view: voice is where many WhatsApp-first tools are heading next, so check the documentation, not the headline.
The evidence: Gallabox's homepage names inbound and outbound voice agents. Its documentation describes the Voice AI Agent as “Alpha Stage”, answering WhatsApp calls and supporting “incoming calls only”, as of 24 September 2026. It also notes that WhatsApp calling is not yet available for numbers in GCC countries such as the UAE and Saudi Arabia. Converiqo AI (by Mobiloitte) runs inbound and outbound voice with a test console covering interruption, silence and handoff. Launch-readiness checks, a recording policy, live monitoring and a recorded disposition for every call follow. See the Voice AI Agent.
Why it matters: if calls matter to your business, you need voice that is production-ready today.
How would a modular interiors company run on each?
| Stage | Gallabox (as documented) | Converiqo AI (by Mobiloitte) |
|---|---|---|
| Enquiry and qualification | AI agent on Instagram or WhatsApp; lead pushed to the CRM | Qualified against your rules and routed to the designer for her area |
| Site measurement | Appointment booking with calendar integration | A measurement visit is booked and dispatched as a field job, with check-in and site photos as proof |
| Design consultation | Booking and reminders | Booking on the designer's synced calendar, with a meeting brief |
| Materials | Not publicly documented | Hardware and panels go through a purchase request, approval and RFQ to a purchase order |
| Installation | Not publicly documented | An installation job with a crew assignment, visit history and completion proof |
| After-sales issue | Handoff to the inbox | A service ticket with an owner and a resolution target, plus a follow-up survey |
How do security and data handling compare?
Gallabox documents a SOC 2 Type II attestation covering security, availability and confidentiality, with “no exceptions noted” for January 2025 to January 2026. It states it is not ISO 27001 certified. Admins must use 2FA, and custom roles and an activity log are available. Data is “stored in the United States”. PII masking and configurable retention are not publicly documented.
Converiqo AI (by Mobiloitte) operates on SOC 2 Type II and ISO 27001 certified cloud infrastructure, with application controls aligned to enterprise standards. It masks customer records by default and opens them only through a time-limited reveal with a recorded reason. It records consent by channel and purpose, lets you set retention, and can be deployed in the cloud, a 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 Converiqo AI hold up as operations grow?
Administrators see integration readiness, provider health and delivery events for each channel. They can filter an audit log by actor and action, and supervise live-agent queues, wait times and handoffs. Field service heads see overdue and unassigned jobs on the dispatch board.
Can you run Gallabox and Converiqo AI together?
Yes. A business can keep Gallabox for WhatsApp ads, broadcasts and commerce, and use Converiqo AI for service and operations on a separate number and on other channels. Data moves between them and your CRM through APIs and verified webhooks. Teams that move fully usually migrate the WhatsApp number through Meta's documented solution-partner migration. They then re-create approved templates and test each journey before switching traffic.
Frequently asked questions
From chat to finished job: book a 30-minute AI Workflow Audit
Bring one journey that starts on WhatsApp and ends with a technician, installer or supplier. We'll map where Converiqo AI would carry it through to completion.