Migration snapshot
ActivePlatform
a Qntrl
Qntrl (formerly Orchestly) is a Zoho division for workflow orchestration; V3 is actively maintained and integrates with 1,000+ apps via Zoho Flow. No shutdown signals. Cloud-only SaaS with no self-host option and no source-code export. Processes are modelled as proprietary 'blueprints' (state machines) in the Qntrl visual editor.
Typical timeline
6–10 weeks
Typical cost
$13K–$25K (agency, fixed)
Why teams leave a Qntrl
Qntrl is purpose-built for approval workflows and business-process orchestration inside the Zoho ecosystem. Migration is driven by use-case ceiling, not platform risk — the moment processes need non-linear state or non-Zoho system integration, the blueprint model becomes a constraint.
No source or app export
Qntrl processes are proprietary blueprints (state machines) in a visual editor. No source-code export exists. All logic must be manually documented and rebuilt from scratch when leaving — the only data path is via Zoho Analytics connector or the Qntrl REST API.
Zoho ecosystem dependency
Qntrl's integration story is Zoho Flow (1,000+ apps). Integrations with non-Zoho systems are more complex than with dedicated orchestration platforms like n8n or Temporal. Teams orchestrating workflows across mixed-vendor stacks consistently hit limits.
Cloud-only, no self-host option
No on-premises deployment option exists. Regulated workloads requiring data residency outside Zoho's infrastructure are blocked. The optional 'bridge server' syncs state without exposing document content — this is a partial solution, not full data residency.
Approval workflow ceiling
Qntrl's blueprint model is excellent for linear approval chains. Non-linear state machines, complex branching, or event-driven workflows require workarounds that accumulate technical debt in a proprietary system.
Zoho Flow as the only integration path
Connecting to external systems outside the Zoho ecosystem requires Zoho Flow, which adds another managed dependency. Custom REST webhooks and direct API integrations are possible but more complex than with a code-based orchestration layer.
What can you actually take with you?
Qntrl has no source export. Blueprints are documentation-grade only — screenshots and PDF exports from the admin console. Data is accessible via Zoho Analytics connector (paid plan required) or the REST API.
| Asset | Can you export it? | How | Notes |
|---|---|---|---|
| Data | Partial | Via Zoho Analytics connector (jobs/cards/modules) on paid Analytics plans; standard Zoho Analytics export; individual records also accessible via Qntrl REST API | Direct data access to Qntrl's backend is not documented; Zoho Analytics plan required for bulk export; confirm plan tier before starting migration |
| Code | No | Proprietary SaaS; processes are blueprints (state machines) in Qntrl's visual editor; no source export exists | Blueprints must be manually documented and re-implemented; export is documentation-grade only (screenshots, PDF reports from admin console) |
| Design/UI | No | Qntrl UI is the platform's own; not exportable | Document process flows via screenshots and exports from the Qntrl admin console before closing the account |
| Logic/Workflows | No | Blueprint state machines, triggers, and custom Deluge functions are proprietary to Qntrl | Export is documentation-grade only — screenshots and PDF reports; every stage, condition, SLA rule, and escalation trigger must be re-implemented in code |
| Users & Auth | Partial | Zoho accounts manage auth; user and role data accessible via Zoho Directory export | Password hashes N/A — authentication is Zoho-managed; a re-invitation workflow is required in the new system for all users |
Swipe the table sideways to see the full breakdown.
Where each piece moves in code
Target stack is Next.js (App Router) + Supabase (PostgreSQL). Each Qntrl blueprint becomes a finite state machine in the database; this is the core technical challenge of the migration.
a Qntrl
Qntrl Blueprint (state machine)
In code
Custom state machine in PostgreSQL (status column + transition table) + Next.js Server Actions
Design the status enum and transition table before writing any application code — this is the architectural foundation of the migration
a Qntrl
Qntrl Stage (workflow step)
In code
Database row status enum + business logic in a Next.js Server Action
Each stage transition becomes an explicit database update with validation in the Server Action
a Qntrl
Qntrl Card (work item)
In code
PostgreSQL record with status, assignee, timestamps, and metadata columns
Map every Qntrl card field to a table column; include created_at, updated_at, and due_date for SLA tracking
a Qntrl
Qntrl Trigger (entry condition)
In code
Supabase database webhook or pg_cron scheduled check
Time-based triggers map to pg_cron; event-based triggers map to Supabase database webhooks
a Qntrl
Qntrl Custom Function (Deluge)
In code
Next.js Server Action or Supabase Edge Function in TypeScript
Treat each Deluge function as a user story and rewrite from the business requirement, not the Deluge code
a Qntrl
Qntrl Form (data input)
In code
Next.js form page with react-hook-form + zod
Map all field-level validation rules and conditional required fields from the Qntrl form editor
a Qntrl
Qntrl Report / Analytics view
In code
Recharts dashboard fetching from PostgreSQL
PostgreSQL views and aggregates provide the data layer; Recharts handles the visualisation
a Qntrl
Qntrl Zoho Flow integration
In code
Next.js API Route Handler calling third-party APIs directly or n8n workflow
Replace Zoho Flow with direct REST API calls or n8n for more complex multi-step orchestration
The migration roadmap
The core technical challenge is the blueprint-to-state-machine translation. Design the database schema for all state machines before writing a single line of application code.
Blueprint documentation and data extraction
Week 1–2- Export all blueprint definitions as PDFs or screenshots from the Qntrl admin console — this is the migration specification
- Document every stage, trigger, SLA rule, escalation condition, and custom Deluge function in each blueprint
- Export all card and job data via the Qntrl REST API or Zoho Analytics connector; confirm paid Analytics plan access
- Inventory all Zoho Flow integrations and the external systems they connect to
- Export user and role list from Zoho Directory for re-invitation planning
Watch out: Blueprint documentation is the only specification you have — invest the time here; missed SLA rules discovered in UAT will extend the timeline significantly
State machine design and database architecture
Weeks 2–3- Map each Qntrl blueprint to a finite state machine: define the status enum, valid transitions, and guard conditions
- Design the PostgreSQL transition table (from_status, to_status, allowed_roles, created_at)
- Identify and design SLA enforcement: pg_cron jobs for time-based escalations, alert thresholds
- Set up Next.js + Supabase project; configure Row-Level Security mapped from Qntrl roles
- Confirm whether Zoho CRM, Desk, or other Zoho products also need to migrate or will remain active
Application build
Weeks 3–7- Build workflow state machine logic in Next.js Server Actions with PostgreSQL transaction integrity
- Implement SLA enforcement via pg_cron scheduled checks; test all escalation paths
- Build form pages with react-hook-form + zod; implement all field validation rules
- Implement Zoho Flow replacements: direct REST API calls from API Route Handlers or n8n workflows
- Build reporting views with Recharts; validate data against Qntrl Analytics exports
Watch out: SLA time-based escalations are the most commonly missed requirement in workflow migrations — test every escalation path explicitly before UAT
UAT and in-flight item migration
Weeks 7–9- Run structured UAT with blueprint owners; validate every stage transition and escalation path
- Identify all active in-flight work items (cards in progress) and plan the cutover method
- Migrate active items manually via the Qntrl REST API export or plan a process-freeze window
- Re-invite all users via the new system; confirm Zoho Directory export covers all active accounts
Cutover
Week 10- Execute process-freeze window: no new items enter Qntrl during cutover
- Go live on the new Next.js + Supabase deployment on Vercel
- Monitor workflow transitions and SLA escalations for 48 hours post-cutover
- Confirm Qntrl plan renewal date; cancel before next billing cycle
Three ways to migrate — honestly
Every path has a real trade-off. Here is what each costs, how long it takes, and where it bites.
DIY (self-directed with AI tools)
$0–$500 + your time
3–6 months part-time
Fits
Teams with in-house TypeScript/PostgreSQL developers who fully understand the business logic behind each Qntrl blueprint
Risks
State machine design errors are expensive to fix in production; SLA enforcement logic is subtle and easy to miss; Zoho Analytics access costs must be budgeted for data export
Freelancer
$4K–$10K
2–3 months
Fits
Simpler workflows with fewer than five blueprints and no complex SLA rules or non-Zoho integrations
Risks
Freelancers unfamiliar with workflow state machines may under-scope the database design; missed escalation rules discovered post-launch require urgent fixes
Agency (RapidDev)
Done-for-you$13K–$25K fixed
6–10 weeks
Fits
Teams with complex multi-blueprint workflows, SLA enforcement requirements, or mixed Zoho/non-Zoho integrations who need a production-ready state machine from day one
Risks
Minimal — fixed price, defined scope, free scoping call to inventory blueprints and assess integration complexity before contract
The real risks — and how to defuse them
Blueprint documentation gap
Mitigation: Qntrl blueprints may encode undocumented business rules known only to process owners. Schedule structured walkthroughs with each blueprint owner in week 1; document every stage, condition, and escalation rule before writing any code.
SLA rule complexity
Mitigation: Time-based escalations in blueprints are subtle and easily missed in migration scoping. Explicitly audit every blueprint for SLA and timer rules; test all escalation paths in staging before go-live.
In-flight process items at cutover
Mitigation: Active work items (cards in progress) during migration need careful handling. Plan a process-freeze window or parallel-run period; migrate active items manually via the REST API export before cutover.
Zoho Analytics plan requirement for data export
Mitigation: Bulk data export requires a paid Zoho Analytics plan. Confirm plan tier and Analytics connector access before starting migration; budget time for the connector setup if not already active.
Zoho ecosystem re-entry
Mitigation: If Qntrl integrates with Zoho CRM, Desk, or Creator via Zoho Flow, those integrations need equivalent webhooks or direct API calls in the new system. Inventory every Zoho Flow connection in week 1 to scope the integration layer accurately.
No viable hybrid run
Mitigation: The optional Qntrl bridge server syncs state but cannot serve as transitional infrastructure. Plan a hard cutover date with a process-freeze window rather than attempting a hybrid run — partial operation across two systems creates data-consistency risks.
Should you actually migrate?
Migrating is a real project. Sometimes staying is the right call — here is the honest split.
Stay if
- Your workflows are purely linear approval chains within the Zoho ecosystem (CRM + Desk + Creator) and Qntrl's blueprint model covers all your cases without workarounds
- Zoho One bundle pricing makes Qntrl effectively free relative to your other Zoho costs — the incremental cost of Qntrl alone is negligible
- Your team has no development capacity to build and maintain a custom state machine; Qntrl's no-code blueprint model is the only viable option for your team's current skill level
Migrate if
- Your processes have grown complex enough that blueprint workarounds are consuming more time than the platform saves — non-linear state, parallel branches, or event-driven triggers are the clearest signal
- You need to orchestrate workflows that touch non-Zoho systems in complex ways — a custom implementation with n8n or a code-based state machine gives far more flexibility than Zoho Flow
- You need on-premises deployment or data residency outside Zoho's infrastructure for compliance reasons — Qntrl's cloud-only architecture is a hard blocker
Our honest verdict
Qntrl is an excellent fit for linear Zoho-ecosystem approval workflows. It becomes a constraint the moment your processes need non-linear state, external system orchestration, or on-premises deployment. The migration is well-defined — the state machine analogy translates directly to PostgreSQL.
Do this today: pre-migration checklist
Whatever path you choose, protect yourself first. Work through this before you touch a line of code.
Export all blueprint definitions as PDFs or screenshots from the Qntrl admin console
This is the only specification you have for the migration — Qntrl has no source export, so the documented blueprints are the rebuild specification
Document every SLA rule, escalation trigger, and time-based condition in each blueprint
SLA rules are the most commonly missed requirement in workflow migrations; missing one means a broken escalation path in production
Export all card and job data via the Qntrl REST API or Zoho Analytics connector
Confirm you have a paid Zoho Analytics plan before relying on the connector; the REST API is an alternative for individual record exports
Inventory all Zoho Flow integrations and the external systems they connect to
Each Zoho Flow connection needs an equivalent API Route Handler or n8n workflow in the new system; missing one creates a broken integration at go-live
Export user and role list from Zoho Directory
All users need to be re-invited to the new system; the Zoho Directory export gives you the email list and role assignments needed for re-invitation planning
Identify all in-flight active work items; plan the cutover method for active cards
Active approval chains cannot simply be abandoned at cutover; plan a process-freeze window or manual migration of active items via the REST API
Confirm Qntrl plan renewal date; align cutover before the next billing cycle
Cancelling before renewal avoids paying for another cycle of a platform you have migrated off
Frequently asked questions
Can I export my Qntrl blueprint code?
No. Qntrl blueprints are proprietary state machines built in the platform's visual editor — there is no source-code export. The only export paths are documentation-grade: PDF and screenshot exports of blueprints from the admin console, plus data exports via the Zoho Analytics connector or the Qntrl REST API. All logic must be manually documented and re-implemented in code.
How long does a Qntrl migration take?
Typically 6–10 weeks for a typical workflow app with an agency. Simple apps with fewer than five blueprints and no complex SLA rules can be done in 6 weeks. Complex multi-blueprint workflows with parallel branching, SLA enforcement, and non-Zoho integrations are closer to 10–14 weeks. The state machine database design in weeks 1–2 sets the pace for everything that follows.
What happens to my users and passwords after migration?
Qntrl uses Zoho account authentication — there are no password hashes to export. All users will need to be re-invited to the new system. Export the user and role list from Zoho Directory before closing the Qntrl account; plan the re-invitation communication 2 weeks before cutover so users are not surprised by the change.
Is Qntrl shutting down?
No. Qntrl V3 is actively maintained as a Zoho division product, integrating with 1,000+ apps via Zoho Flow. There are no shutdown signals. Migration urgency is purely driven by use-case ceiling: complex non-linear workflows, non-Zoho system orchestration, or on-premises data-residency requirements that Qntrl cannot address.
How do I export my Qntrl data?
Two paths: (1) Zoho Analytics connector — connects to Qntrl jobs, cards, and modules on paid Analytics plans, then exports via standard Zoho Analytics CSV/Excel export; (2) Qntrl REST API — allows querying individual records programmatically. Confirm your Zoho Analytics plan tier before relying on the connector; budget 3–5 days for the data extraction and validation step.
What is the technical equivalent of a Qntrl blueprint in custom code?
A finite state machine in PostgreSQL: a status column with a typed enum of all possible stages, a transition table that records allowed transitions between statuses with role-based guards, and Next.js Server Actions that enforce the transition rules. SLA escalations become pg_cron scheduled jobs that check for items exceeding their time thresholds. This pattern is well-understood and directly maps to the Qntrl blueprint model.
How does RapidDev handle Qntrl migrations?
RapidDev offers a free scoping call that inventories your blueprints, SLA rules, and Zoho Flow integrations before committing to a fixed price. Typical engagement: $13K–$25K, 6–10 weeks. We design the PostgreSQL state machine architecture first, then build the application layer — the output is a fully-owned Next.js + Supabase codebase with CI/CD and no Qntrl dependency.
What happens to active in-progress workflows during the migration cutover?
Active approval chains (cards in progress) need an explicit cutover strategy. The recommended approach is a process-freeze window: no new items enter the Qntrl system for 24–48 hours before cutover, and all active items are migrated manually via the REST API export or completed before the cutover date. Attempting a hybrid run across two workflow systems creates data-consistency risks and is not recommended.
We migrate no-code apps to production code
- Fixed price — $13K–$25K (agency, fixed)
- No data loss, no downtime
- You own 100% of the code
30-min call. Quote within 48 hours.