Botpress vs Converiqo AI: Developer Tools vs Business Ops
Botpress now positions itself as “the AI-native customer support platform”, with a helpdesk (Desk), visual and code-first builders, and a large integration hub for developer-led teams. Converiqo AI (by Mobiloitte) is an enterprise AI workflow automation platform. It is operated by business teams, with approval-gated knowledge, reviewed releases and built-in modules that reach from customer support into HR, procurement and field work.
How do Botpress and Converiqo AI compare at a glance?
| Capability | Botpress | Converiqo AI (by Mobiloitte) |
|---|---|---|
| Positioning | "The AI-native customer support platform" | Enterprise AI workflow automation platform |
| How agents are built | Studio (visual), Viber (natural language), ADK (TypeScript framework and CLI) | Configured by business teams on approved knowledge, business data and flows |
| Custom code | Execute Code cards, integration SDK, ADK | Scoped APIs and verified webhooks for integration work |
| Knowledge | Websites, documents, tables and integration sources; logs show each query and its results | Second-person approval before use; answers cite the source |
| Releases | Version history, capped by plan; restoring "will completely overwrite your current bot" | Release candidates, validation, scenario tests, release reference |
| Roles and sign-in | Six workspace roles; SSO, MFA and custom roles not publicly documented | Custom least-privilege roles, OIDC SSO, MFA |
| Audit | Workspace audit log | Audit log by actor and action; client-visible operator-access log |
| Deployment | Managed cloud; self-hosted v12 "no longer available for purchase, download, or new deployments" | Cloud, private cloud or on-premises |
| Channels | Webchat, email, WhatsApp, voice, Slack, Discord, Telegram, Instagram, Messenger via Desk; Teams via the Hub | Website, WhatsApp, email, SMS, Instagram, Messenger, Telegram, LinkedIn, voice |
| Employee, procurement, field, vendor | Built by the customer with Hub connectors such as BambooHR and Jira; packaged modules not publicly documented | Packaged modules |
| Certifications (as worded) | "SOC 2 Type II", "GDPR compliant", "HIPAA compliant" | Cloud infrastructure SOC 2 Type II & ISO 27001; platform controls aligned |
Choose Converiqo AI if…
- Business-Operated Autonomy: Operations, compliance or CX teams must own the assistant day to day without writing code or waiting on engineering backlogs.
- Governed Release Candidates: Every release must be validated and scenario-tested before customers see it, backed by a traceable release reference.
- Enterprise Access & Hosting: Security requires OIDC SSO, MFA, custom least-privilege roles, or deployment in a private VPC or on-premises.
- Beyond Customer Support: You need ready-made workflows for employee requests, purchase approvals, field force dispatch, and vendor queries.
Who builds and maintains the assistant?
The view: a developer-first platform gives maximum flexibility. It also makes the business dependent on developer time for every change.
The evidence: Botpress offers three ways to build: Studio, a visual builder; Viber, which builds from natural language; and the ADK, a TypeScript framework with a CLI for conversations, workflows and tools as code. Custom logic runs in Execute Code cards, and Botpress advises reviewing AI-generated code before production. In Converiqo AI (by Mobiloitte), business teams maintain products, FAQs and knowledge through masters and approval queues. Knowledge Editors submit content, and a second reviewer approves it before the assistant uses it.
How safe is a change to a live assistant?
The view: version history is useful. A controlled release path is what protects live customers.
The evidence: Botpress creates a version on every publish, lets you compare and revert, and caps saved versions by plan. Its documentation warns that “reverting to a previous version will completely overwrite your current bot”. The ADK separates a local dev console from Botpress Cloud, but formal staging for Studio bots is not publicly documented. In Converiqo AI, a change becomes a release candidate containing the flow and its dependencies. It is validated against knowledge and business data, scenario-tested for lead capture, booking and handoff, and published with a release reference.
What does an enterprise security review find?
The view: security teams ask about identity first: SSO, MFA and least-privilege roles.
The evidence: Botpress documents six workspace roles, from Viewer to Owner, and a workspace audit log available in settings and through its Admin API. Its enterprise page says personal data is stripped before anything reaches a model provider, with zero data retention on the provider side. SSO, MFA, custom roles and customer-selectable data regions are not publicly documented. Converiqo AI (by Mobiloitte) supports OIDC single sign-on, multifactor sign-in and custom roles that grant only the actions and records a job needs. Customer records are masked by default, and any protected look is reason-logged and visible to the client.
Where can it be deployed?
The view: regulated industries and public bodies often need their own environment.
The evidence: Botpress's documentation states that v12 “has been officially sunset and is no longer available for purchase, download, or new deployments”, including all self-hosted versions. The current platform is managed cloud, built on AWS. Converiqo AI can be deployed in the cloud, in a private cloud or on-premises.
Is support the whole job?
The view: once a support agent works, the next requests come from HR, IT, procurement and operations.
The evidence: Botpress publishes an IT support solution page and offers Hub connectors such as BambooHR, Jira and Microsoft Teams, so teams can build employee assistants themselves. Native approval chains, and packaged procurement, field or vendor modules, are not publicly documented. Converiqo AI includes employee self-service, procurement from purchase request to purchase order, field dispatch with proof of service, vendor support, and a tasks and approvals engine. See employee self-service automation.
Which channels does each cover?
The view: support platforms increasingly cover the same messaging apps; the differences sit at the edges.
The evidence: Botpress Desk lists webchat, email, WhatsApp, voice, Slack, Discord, Telegram, Instagram and Facebook Messenger, and Microsoft Teams is available through the Hub. Converiqo AI (by Mobiloitte) covers the website, WhatsApp, email, SMS, Instagram, Messenger, Telegram, LinkedIn and voice. Every channel reports provider health and delivery events, so teams can confirm a message was delivered, not just sent.
How would a SaaS company run on each?
| Request | Botpress (as documented) | Converiqo AI (by Mobiloitte) |
|---|---|---|
| Customer reports an API error | Support agent answers; Desk routes the escalation | Answer from approved runbooks; a ticket opens with a priority and a resolution target |
| Enterprise prospect asks for security pack | Built by developers with ADK workflows and tools | An approval task goes to the CISO, with the documents as evidence, before anything is shared |
| A new hire needs a laptop | Built with Hub connectors such as Jira | An employee request becomes a purchase request, then approval, RFQ and purchase order |
| A contractor queries an unpaid invoice | Not publicly documented | A vendor support ticket with an owner |
| Support team changes refund policy | Edit and publish; revert overwrites the current bot | New knowledge is approved by a second reviewer, and a release candidate is tested before it goes live |
How does Converiqo AI run at scale?
A daily dashboard covers installation health, integration readiness and support risk. Delivery events are tracked for every channel. Failed operations are checked before any retry, and structural changes show an impact preview with a rollback path. A role-scoped Copilot answers operational questions and links to the records behind each answer.
Can the two run together, or can you migrate?
Some companies keep Botpress for a developer-built customer agent and use Converiqo AI (by Mobiloitte) for employee, procurement and field workflows, exchanging events through scoped API keys and verified webhooks. Teams that move fully usually migrate one journey at a time. They load and approve knowledge, connect channels, and test each journey end to end before switching live traffic.
Frequently asked questions
Let the business run it: book a 30-minute AI Workflow Audit
We'll take one journey your developers maintain today and show how your operations team would run it on Converiqo AI, with approvals, releases and audit built in.