Tue 8 Sep 2026 EN ES
Tools

A 5-Point Checklist for Judging Vendor-Bundled AI Coding Assistants Before They Build Your ERP

Run a five-question gate on schema access, promotion control, model switching, audit trail, and cost/time delta versus using the assistant outside the PaaS.

Illustration: A 5-Point Checklist for Judging Vendor-Bundled AI Coding Assistants Before They Build Your ERP

In the demo, a new ERP workflow can appear before the meeting ends. It can also become harder to explain after launch. Zoho's Catalyst MCP server can let an AI coding assistant create a table or add a column from VS Code, Claude Code, Cursor, or another AI IDE instead of opening the Catalyst console.

The useful question is whether the platform still lets you see, approve, and pay for what it does. Zoho announced on September 2, 2026 that Catalyst, its PaaS, gained agentic development capabilities. The feature list includes Agent Skills, a non-interactive CLI, MCP support, and integrations for Anthropic's Claude Code and OpenAI's Codex. The same platform also runs a free student program with full-stack hosting, functions, a database, and AI tooling.

ERP workflows carry approvals, ledgers, access rules, and handoffs. A coding assistant can draft the code, but the platform still has to make the change safe. The gate is five questions, answerable in the demo rather than in a procurement meeting: schema access, promotion control, model switching, audit trail, and cost/time delta versus using the assistant outside the PaaS.

The bundle can hide the seams

The speed gain is real. The control question is real too. The assistant can reshape the database from your editor, and you need to know what it changed, who approved it, and how to undo it. Zoho says Catalyst moves code to production only through manual promotion, keeping the AI agent away from live systems. MAP Communications COO Greg Barnes said he used Catalyst's Signals feature to build and deploy multiple custom workflows in one to two hours. That speed is the reason vendors bundle the assistant. It is also the reason the bundle is not proof of safety.

The five checks belong in the demo

  • Can the assistant create a table or add a column from your editor without opening the platform console?
  • Does production require a human promotion step?
  • Can you switch models or bring another assistant without rebuilding the workflow?
  • Is there a reviewable record of schema changes, code changes, and promotions?
  • Does the bundled path save time or money compared with running the same assistant outside the platform?

Schema access leads. A table created in one place can become a migration problem in another. Request a sample diff, a migration file, and a rollback note. A console screenshot is not enough.

Promotion control marks the line between a draft and a live change. Check who can promote, whether the same person can approve their own work, and whether the step is logged.

Model choice decides portability. A locked-in model creates another vendor. Prompts, tool calls, or data shapes tied to a single provider force a rewrite.

Audit trail is the record you can defend. A change you cannot inspect is a change you cannot defend. It should show the schema diff, the code diff, the promotion event, and the person or role that approved each step. Chat transcripts are not enough.

Cost is the missing invoice. Speed without a cost record is incomplete. The check goes beyond the subscription. It includes model calls, database growth, environment sprawl, and the time spent reviewing extra code. If the bundle hides those numbers, compare the same assistant outside the platform.

The cost check decides whether the bundle earns its place

Coding speed can rise even when production delivery does not get faster. Adding AI-generated code, automation, and tools can lengthen the waiting list for reviews, environments, approvals, and testing. Production fixes can cost up to 30x to 100x more than catching the same issue during PR review.

Cost guardrails can block merges or require VP sign-off when an infrastructure change adds more than $500 per month. Some platform teams are adding AI control planes to Infrastructure as Code definitions so model endpoints, GPU allocations, and sensitive credentials move through pull-request review.

If any answer is no, the assistant is not ready for your ERP.

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