ERP Chatbot Deployment Cost Calculator
This free ERP chatbot deployment cost calculator estimates the total first-year cost of building and running a chatbot connected to your ERP, and it is built for IT directors and finance leaders sizing a budget request before a project starts. Enter how many distinct ERP entities the chatbot needs to integrate with, cost per integration, base build cost, model hosting cost, and ongoing maintenance effort, and the tool returns total build cost, monthly operating cost, and a full first-year total. Integration cost, not the chatbot framework itself, is almost always the largest and least predictable line item in these budgets.
Your numbers
Distinct ERP modules or entities the chatbot must connect to: orders, inventory, work orders, invoices, and so on.
Development cost to connect, test, and secure one integration point via IDOs, BODs, or ION APIs.
Core chatbot framework, conversation design, prompt engineering, and UI work independent of any specific integration.
Underlying LLM API cost or self-hosted GPU cost for running the chatbot's model.
Ongoing prompt tuning, bug fixes, and new question type support after launch.
Fully loaded cost of the developer time doing ongoing maintenance.
Your results
Planning estimates only. Actual build cost depends heavily on how customized your ERP configuration is and how many edge cases each integration point must handle. Get a fixed-scope quote before budgeting a specific number to finance.
Get your full chatbot cost breakdown
We will email you an entity-by-entity integration cost estimate and a first-year budget model, and a Netray AI engineer will follow up with a fixed-scope proposal.
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How the cost model works
Chatbot cost splits cleanly into a one-time build phase and a recurring operating phase, and the calculator separates them so you can budget capital and operating expense correctly. Build cost combines a base framework cost, conversation design, prompt engineering, and UI, with a per-integration cost multiplied by how many distinct ERP entities the chatbot needs to read or write. At the defaults, four integration points at $8,000 each adds $32,000 to a $25,000 base build, for a $57,000 total build cost. Operating cost combines monthly maintenance labor and model hosting; at 15 hours a month and $1,200 hosting, that is $2,850 a month, or $34,200 a year, bringing first-year total cost to roughly $91,200.
- Integration point cost is the most variable input; a heavily customized ERP entity costs meaningfully more than a standard one.
- Base build cost covers conversation design and prompt engineering that exists independent of any specific integration.
- Model hosting cost should reflect actual expected query volume, not a rough guess, since it recurs every month.
- Maintenance hours rarely trend toward zero after launch; new question types and edge cases keep surfacing.
What actually drives integration cost per point
Not all integration points cost the same. A read-only lookup against a well-structured, standard ERP entity through an existing IDO or ION BOD is straightforward. An integration that requires writing back to the ERP, handling complex approval workflows, or reading through years of custom fields and one-off customizations costs substantially more, sometimes two to three times a standard integration point. Scope each integration point individually during planning rather than applying one flat per-point cost across the board, especially for your first two or three integrations where the pattern is still being established.
- Read-only lookups against standard ERP entities are the cheapest integration category.
- Write-back integrations requiring approval workflows cost meaningfully more than read-only lookups.
- Custom fields and one-off workflow customizations add cost that a generic per-integration estimate will not capture.
- The first integration point often costs more than subsequent ones because it establishes the reusable connection pattern.
Benchmarks and where costs commonly overrun
These figures reflect ERP chatbot deployments on SyteLine and LN at manufacturers of varying customization levels. The most common budget overrun we see is underestimating maintenance hours: teams budget generously for the initial build and then allocate almost nothing for the months after launch, when real user questions reveal gaps the pilot never surfaced. A realistic maintenance budget for the first six months post-launch runs noticeably higher than the steady state, often 1.5 to 2 times the ongoing rate, as the team responds to real usage patterns.
- Post-launch maintenance in the first six months commonly runs 1.5-2x the eventual steady-state rate.
- Model hosting cost should be re-projected once real usage volume is known, not left at the pre-launch estimate.
- Integration cost for a heavily customized SyteLine or LN environment can run 30-50% above a standard estimate.
- Budget a contingency of 15-20% on total build cost for scope discovered only once integration work begins.
How Netray scopes and builds ERP chatbots
Netray builds ERP chatbots directly on SyteLine and Infor LN, connecting through IDOs, BODs, and ION APIs rather than screen scraping or brittle exports, and our ERPray product provides much of the reusable connection pattern out of the box rather than starting from zero on every integration point. We scope integration cost per entity individually during planning, based on how customized that part of your environment actually is, rather than applying a flat estimate that turns out wrong for your first real integration. Engagements typically start with a fixed-scope discovery phase that produces an accurate, entity-by-entity cost estimate before development begins.
Frequently Asked Questions
Why does per-integration cost vary so much between ERP entities?
Because the underlying data structure varies. A standard, uncustomized entity accessible through an existing IDO or ION BOD is a straightforward read integration. An entity with years of custom fields, non-standard workflows, or a write-back requirement carries meaningfully more development and testing effort. Estimating all integration points at one flat cost is the single most common way these budgets end up wrong.
Should we build the chatbot in-house or use a platform like ERPray?
It depends on how much of the SyteLine or LN connection layer you would otherwise build from scratch. A generic chatbot framework still requires building the entire ERP integration layer yourself, which is where most of the cost and risk in this calculator lives. A platform purpose-built for your ERP, like ERPray, absorbs much of that integration cost into the product itself.
How much should we budget for model hosting cost?
Model hosting cost depends on query volume and whether you use a cloud API or self-hosted model. A modest-volume chatbot answering a few thousand queries a month on a cloud API typically runs a few hundred to a couple thousand dollars monthly. High-volume or self-hosted deployments shift the cost structure toward GPU infrastructure instead, which behaves more like a fixed cost than a per-query one.
What is a realistic timeline to go from budget approval to launch?
For a chatbot with three to five integration points against a reasonably standard ERP configuration, eight to twelve weeks from kickoff to a working pilot is typical, covering discovery, build, and initial testing. Heavily customized environments, write-back requirements, or more than six or seven integration points commonly push that timeline to sixteen weeks or more.
Get a fixed-scope, entity-by-entity cost estimate for your ERP chatbot before you commit a budget number.
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