Predictika · Enterprise software subscriptions

An AI sales agent's CloudSuite Industrial subscription, checked before it goes out

An AI sales agent prepares a subscription for Infor CloudSuite Industrial (SyteLine): multi-tenant or single-tenant, named and light users, modules, sites, a support plan and a discount. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of the product structure and returns a verdict, every reason and the figures it computed. The product, module and support plan names are Infor's; the compatibility rules, limits and prices in this demonstration are modeled, as described in the scope.

Scope: CloudSuite Industrial subscriptions: deployment, users, modules, sites, the Essential, Premium and CareFor Success support plans, discount and the stated monthly total. Rules and prices are modeled, not Infor's. See everything this validator covers

This validator models one product line, Infor CloudSuite Industrial (SyteLine), not just the scenarios shown below. Important: Infor does not publish its quoting rules or prices. The rules, limits and every price here are modeled by Predictika from comparable ERP subscriptions and are illustrative; they are not Infor's official rules or prices.

  • Deployment and users — multi-tenant or single-tenant, named users and light users, with modeled limits on the size of a multi-tenant subscription, the number of light users per named user and small single-tenant deployments.
  • Modules and sites — the core Financials module plus Production, Quality, Warehouse, Service, Asset, Project, CPQ and Business Intelligence modules and the multi-site license, with modeled dependencies (for example Quality and CPQ need Production, and several sites need the multi-site license).
  • Support plans — Infor Essential Support (the multi-tenant plan), Infor Premium Support, and Infor CareFor Success Professional and Enterprise, with modeled minimum user counts and coverage hours.
  • Price and discount — an illustrative monthly list price built from users, modules, sites and support, a stated total that must equal it, and a discount that needs sign-off above 15 percent and is blocked above 30 percent.

Any CloudSuite Industrial subscription that touches these rules is in scope — not only the scenarios pictured here. Not covered: other Infor CloudSuites and products, implementation services, contract terms, taxes, and Infor's real prices and licensing rules, which this page does not claim to reproduce.

The AI sales agentBuilds the subscription from the conversation and says it is ready.
Predictika validatorChecks every rule at once and returns the verdict, each finding, and the computed figures.

7 scenarios in 3 groups · each group runs from the agent’s first attempt to the outcome · click one to switch

What the agent proposes

The AI sales agent says

Illustrative agent statement. The validator receives the structured request below.

Proposing agent: AI sales agent (scripted)

Before sending, the agent must call Recorded run

Predictika validator


      

        
        
        
      

      
Waiting for the call.

      
    

  

  
  

    
Where rules-based CPQ gets it wrong
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Our assessment of what a typical rules-based CPQ (product rules, price rules and validation rules, as in Salesforce CPQ) does with the same cases. It is a judgment about effort and reliability, not a claim that nothing can be built.

    
What the validator caughtTypical rules-based CPQPredictika
Modules that depend on other modules (Quality and CPQ need Production)Only with care
A product rule per dependency works, but each new module is another set of rules, and a dependency that fires late is often found only when the quote is saved.		Every module and its dependencies arrive in one request and are checked together, in any order.
Support plan limits that depend on deployment, users and coverage hoursOnly with workarounds
The plan depends on the deployment on one line, the user count on another and the customer's coverage need on a third, so it needs cross-line rules that interact with each other.		Deployment, users, plan and coverage need are compared in one pass.
Price built from users, modules, sites and support, against the total the quote statesOnly with care
The total is derived from several lines, so a rule has to recompute it and compare it with the figure typed into the quote.		The stated total is a field in the request, compared with the computed one on every call.
Discount tiers: sign-off above 15 percent, blocked above 30 percentEasy
A standard approval rule.		Also checked, with the other findings, in one answer.
Every problem returned in one answerOnly with workarounds
Rules tend to fire as the quote is saved or a step is completed, so a rep often fixes one error and meets the next.		All findings come back together, whatever order the choices arrived in.

  

  

    
What this validator catches: findings from its test cases
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Every rule is checked on every call, in any order the choices arrive; one problem never hides another. Blocking findings stop the quote; approval findings need a person to sign off; everything else is computed.

    
1Every other module sits on the core Financials module; the quote does not include it.
2The Quality module works on production orders, and the quote has no Production module.
3The CPQ module configures products that are manufactured, and the quote has no Production module.
4The customer runs 3 sites and the quote has no multi-site license.
5Essential Support is the multi-tenant plan; it cannot be quoted on a single-tenant deployment.
6The customer needs 24x7 support for applications; the Essential plan gives 24x7 only for system outages.
7CareFor Success Professional needs at least 25 named users; the quote has 24.
8CareFor Success Enterprise needs at least 100 named users; the quote has 99.
9A multi-tenant subscription is limited to 500 named users; the quote has 501. Use a single-tenant deployment.
10The quote has 751 light users; no more than five per named user are allowed.
11The quote has no named users.
12A discount of 20 percent needs sign-off from a sales director.
13A discount of 31 percent is over the 30 percent limit.
14The quote states 22,700 USD a month; the quoted items add up to 23,700 USD a month before discount.
15A single-tenant deployment for fewer than 100 named users needs a person to confirm it.

  

  

    
Scenarios and results
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The recorded result of the validator for each scenario on this page: the request the AI agent sent, the verdict, and every finding, in the order they appear above.

    
1. Modules, sites and support coverage: A three-site subscription with CPQ and Quality but no Production, on the Essential plan

    
The agent's request. Please quote CloudSuite Industrial as a multi-tenant subscription for 150 named users and 60 light users across 3 sites, with the Financials, Quality, CPQ modules and Infor Essential Support. The customer needs 24x7 support for its applications. The quote states 22,000 USD a month in total before discount. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Quality needs Production. The Quality module works on production orders, and the quote has no Production module.
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  • CPQ needs Production. The CPQ module configures products that are manufactured, and the quote has no Production module.
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  • Several sites need multi-site. The customer runs 3 sites and the quote has no multi-site license.
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  • 24x7 application support needs a higher plan. The customer needs 24x7 support for applications; the Essential plan gives 24x7 only for system outages.
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2. Modules, sites and support coverage: The agent resubmits after fixing the errors

    
The agent's request. Please quote CloudSuite Industrial as a multi-tenant subscription for 150 named users and 60 light users across 3 sites, with the Financials, Production, Quality, CPQ, multi-site license modules and Infor Premium Support. The customer needs 24x7 support for its applications. The quote states 26,200 USD a month in total before discount. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Subscription summary. Modeled list price of 26,200 USD a month before discount, of which support is 1800 USD a month.
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3. Support plan and deployment: Essential Support quoted on a single-tenant deployment

    
The agent's request. Please quote CloudSuite Industrial as a single-tenant subscription for 60 named users and 20 light users across 1 site, with the Financials, Production, Quality, Warehouse modules and Infor Essential Support. The customer does not need 24x7 application support. The quote states 21,000 USD a month in total before discount. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Essential Support is for multi-tenant. Essential Support is the multi-tenant plan; it cannot be quoted on a single-tenant deployment.
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  • Stated monthly total does not match. The quote states 21,000 USD a month; the quoted items add up to 14,100 USD a month before discount.
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  • Small single-tenant deployment. A single-tenant deployment for fewer than 100 named users needs a person to confirm it.
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4. Support plan and deployment: The agent resubmits after fixing the errors

    
The agent's request. Please quote CloudSuite Industrial as a single-tenant subscription for 100 named users and 20 light users across 1 site, with the Financials, Production, Quality, Warehouse modules and Infor Premium Support. The customer does not need 24x7 application support. The quote states 21,100 USD a month in total before discount. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Subscription summary. Modeled list price of 21,100 USD a month before discount, of which support is 1200 USD a month.
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5. Support plan size and discount: Enterprise success plan for 80 users with a 35 percent discount

    
The agent's request. Please quote CloudSuite Industrial as a multi-tenant subscription for 80 named users and 40 light users across 1 site, with the Financials, Production, Quality modules and Infor CareFor Success Enterprise. The customer does not need 24x7 application support. The quote states 16,300 USD a month in total before discount and a discount of 35 percent. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • CareFor Success Enterprise minimum. CareFor Success Enterprise needs at least 100 named users; the quote has 80.
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  • Discount over the limit. A discount of 35 percent is over the 30 percent limit.
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6. Support plan size and discount: The agent resubmits after fixing the errors

    
The agent's request. Please quote CloudSuite Industrial as a multi-tenant subscription for 80 named users and 40 light users across 1 site, with the Financials, Production, Quality modules and Infor CareFor Success Professional. The customer does not need 24x7 application support. The quote states 15,100 USD a month in total before discount and a discount of 20 percent. It is ready to send.

    
Verdict: Needs approval.

    
    
      
  • Discount needs sign-off. A discount of 20 percent needs sign-off from a sales director.
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  • Subscription summary. Modeled list price of 15,100 USD a month before discount, of which support is 1600 USD a month.
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7. Support plan size and discount: The agent resubmits after fixing the errors

    
The agent's request. Please quote CloudSuite Industrial as a multi-tenant subscription for 80 named users and 40 light users across 1 site, with the Financials, Production, Quality modules and Infor CareFor Success Professional. The customer does not need 24x7 application support. The quote states 15,100 USD a month in total before discount and a discount of 10 percent. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Subscription summary. Modeled list price of 15,100 USD a month before discount, of which support is 1600 USD a month.
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Narration transcript
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The text of the narrated walkthrough, step by step.

    
    
      
  1. Welcome to a demo of Predictika's Validator. An AI sales agent prepares a subscription for Infor CloudSuite Industrial (SyteLine): multi-tenant or single-tenant, named and light users, modules, and more. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of the product structure and returns a verdict, every reason and the figures it computed. The product, module and support plan names are Infor's; the compatibility rules, limits and prices in this demonstration are modeled, as described in the scope.
    2. 
      
  2. I will start with the first request by the agent.
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  3. The agent says. Please quote CloudSuite Industrial as a multi-tenant subscription for 150 named users and 60 light users across 3 sites, with the Financials, Quality, CPQ modules and Infor Essential Support. The customer needs 24x7 support for its applications. The rest of the request is on screen. The quote states 22,000 USD a month in total before discount.
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  4. Before it goes out, the agent calls the validator.
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  5. Blocked, with four findings, all in one answer. The Quality module works on production orders, and the quote has no Production module. The CPQ module configures products that are manufactured, and the quote has no Production module. The customer runs 3 sites and the quote has no multi-site license. The other one is on screen.
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  6. The validator returned four blocking findings in one answer. A check that reads one field at a time would pass most of this; it shows only when the choices in the quote are checked against each other.
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  7. What this shows: for modules that depend on other modules (Quality and CPQ need Production), a rules-based CPQ is error-prone for this.
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  8. Now the agent resubmits.
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  9. The corrected request. It changes the modules to Financials, Production, Quality, CPQ, multi-site license, the support plan to Infor Premium Support and the monthly total as stated, before discount to $26,200.
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  10. It calls the validator again.
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  11. This time the validator clears it.
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  12. All four earlier findings are cleared, and the validator's total, 26,200 USD, matches the quote.
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  13. Four problems caught in one call, fixed in one pass, and a clean $26,200 quote. That is the value of Predictika's validator: catching mistakes before they reach the customer. Now you can try the other scenarios yourself.
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