Predictika · Contact center software subscription quotes

An AI sales agent's Sprinklr Service subscription quote, checked before it goes out

An AI sales agent prepares an annual subscription quote for Sprinklr Service: a tier, a number of agent seats, modules such as Voice, Live Chat, Conversational AI, Agent Assist, Workforce Management and AI+ Studio, data retention and a discount. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of these quotes and returns a verdict, every reason and the total it computed.

Scope: Annual subscription quotes for Sprinklr Service: three tiers, agent seats, eleven modules, data retention, discount and the stated total. See everything this validator covers

This validator models Sprinklr Service annual subscription quotes, not just the scenarios shown below.

  • Tier, seats and modules — which modules each tier includes, Voice, Live Chat, Conversational AI, Agent Assist, Quality Management and Workforce Management on the tiers that offer them, and Contact Center Intelligence, AI+ Studio and Sandbox on Enterprise only.
  • Dependencies and retention — Workforce Management needs Voice, Agent Assist needs the Knowledge Base, a minimum number of agent seats, and the data retention each tier includes.
  • Discount, approval and stated total — a discount above a first threshold goes to a person, a discount above a second threshold is blocked, and the stated total is compared with the computed total.

Any Sprinklr Service subscription quote that touches these rules is in scope — not only the scenarios pictured here. Not covered: other Sprinklr product suites and professional services. Public versus modeled: the product and module names come from Sprinklr's public product pages; the tiers, seat minimum, module-to-tier rules, dependencies, retention limits, discount thresholds and every price (US dollars) are modeled by Predictika from comparable products, are illustrative and are not published by Sprinklr.

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

6 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
Click to expand
    
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
A module that is sold only on some tiersOnly with care
Each module has its own tier rule, so the rules form a table that must be kept in step with the module list.		Tier and modules are fields of one quote and are checked together on every call.
A module that depends on another moduleOnly with care
Workforce Management needs Voice and Agent Assist needs the Knowledge Base, so each dependency needs its own rule.		Every module is a field of the same quote, so a missing dependency is found on every call.
Data retention that depends on the tierOnly with care
The limit differs by tier, so the requested retention has to be compared with a value looked up from the tier.		Retention and tier are fields of one quote and are compared on every call.
A stated total that must match the computed totalOnly with workarounds
The total is built from seats, a per-seat rate, per-seat modules, flat-fee modules and the discount, so a separate rule is needed to recompute it and compare it with the stated figure.		The stated total is a field of the request and is compared with the computed total on every call.
Discounts that go to a person or are blockedOnly with care
Two thresholds on the same discount, one for approval and one for blocking, that must not overlap.		Blocks and approvals come back together; an approval-only quote is not blocked.

  

  

    
What this validator catches: findings from its test cases
Click to expand
    
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.

    
1The quote has 8 agent seats; an annual Sprinklr Service subscription starts at 10 seats.
2Sprinklr Voice is not available on the Standard tier; it needs Advanced or Enterprise.
3Conversational AI, Agent Assist, Quality Management and Workforce Management need the Advanced or Enterprise tier; the quote has 1 of them on Standard.
4Contact Center Intelligence, AI+ Studio and Sandbox need the Enterprise tier; the quote has 1 of them on a lower tier.
5Workforce Management is quoted without Sprinklr Voice; it is sold for voice contact-center staffing.
6Agent Assist draws answers from the Knowledge Base, which is not on the quote.
7The quote asks for 36 months of active data retention; this tier includes up to 24.
8The quote states an annual total of 100,000 dollars; the line items give 117,000 dollars.
9The discount is more than 20 percent of the list subscription; a person should approve it.
10The discount is more than 35 percent of the list subscription.
11More than 1,000 agent seats is a large deployment; a person should confirm capacity and onboarding.

  

  

    
Scenarios and results
Click to expand
    
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. Standard tier subscription: A Standard tier subscription for 8 agent seats with Voice, Live Chat, Conversational AI and Agent Assist

    
The agent's request. Please quote an annual Sprinklr Service subscription on the Standard tier for 8 agent seats with Voice, Live Chat, Conversational AI and Agent Assist, 13 months of data retention, for a stated annual total of 42,720 US dollars. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Too few agent seats. The quote has 8 agent seats; an annual Sprinklr Service subscription starts at 10 seats.
    • 
      
  • Voice needs Advanced or Enterprise. Sprinklr Voice is not available on the Standard tier; it needs Advanced or Enterprise.
    • 
      
  • Advanced modules need Advanced or Enterprise. Conversational AI, Agent Assist, Quality Management and Workforce Management need the Advanced or Enterprise tier; the quote has 2 of them on Standard.
    • 
      
  • Agent Assist needs Knowledge Base. Agent Assist draws answers from the Knowledge Base, which is not on the quote.
    • 
    

    
2. Standard tier subscription: The agent resubmits after fixing the errors

    
The agent's request. Please quote an annual Sprinklr Service subscription on the Advanced tier for 10 agent seats with Voice, Live Chat, Conversational AI, Agent Assist and the Knowledge Base, 13 months of data retention, for a stated annual total of 63,400 US dollars. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Price summary. 10 agent seat(s), list 63,400 dollars, discount 0 dollars, annual total 63,400 dollars (illustrative prices).
    • 
    

    
3. Workforce Management subscription with a deep discount: A 120-seat Advanced tier subscription with Workforce Management, AI+ Studio, 36 months of retention and a discount

    
The agent's request. Please quote an annual Sprinklr Service subscription on the Advanced tier for 120 agent seats with Workforce Management and AI+ Studio, 36 months of data retention, with a discount of 111,040 US dollars, for a stated annual total of 166,560 US dollars. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Enterprise-only modules. Contact Center Intelligence, AI+ Studio and Sandbox need the Enterprise tier; the quote has 1 of them on a lower tier.
    • 
      
  • Workforce Management needs Voice. Workforce Management is quoted without Sprinklr Voice; it is sold for voice contact-center staffing.
    • 
      
  • Data retention beyond tier. The quote asks for 36 months of active data retention; this tier includes up to 24.
    • 
      
  • Discount above 35 percent. The discount is more than 35 percent of the list subscription.
    • 
      
  • Discount above 20 percent. The discount is more than 20 percent of the list subscription; a person should approve it.
    • 
    

    
4. Workforce Management subscription with a deep discount: The agent resubmits after fixing the errors

    
The agent's request. Please quote an annual Sprinklr Service subscription on the Enterprise tier for 120 agent seats with Voice, Workforce Management and AI+ Studio, 36 months of data retention, with a discount of 107,200 US dollars, for a stated annual total of 321,600 US dollars. It is ready to send.

    
Verdict: Needs approval.

    
    
      
  • Discount above 20 percent. The discount is more than 20 percent of the list subscription; a person should approve it.
    • 
      
  • Price summary. 120 agent seat(s), list 428,800 dollars, discount 107,200 dollars, annual total 321,600 dollars (illustrative prices).
    • 
    

    
5. Enterprise contact center for 300 agents: A 300-seat Enterprise tier subscription with Voice, Live Chat, Quality Management and Workforce Management

    
The agent's request. Please quote an annual Sprinklr Service subscription on the Enterprise tier for 300 agent seats with Voice, Live Chat, Quality Management and Workforce Management, 13 months of data retention, for a stated annual total of 1,056,000 US dollars. It is ready to send.

    
Verdict: Blocked.

    
    
      
  • Stated total does not match. The quote states an annual total of 1,056,000 dollars; the line items give 1,116,000 dollars.
    • 
    

    
6. Enterprise contact center for 300 agents: The agent resubmits after fixing the errors

    
The agent's request. Please quote an annual Sprinklr Service subscription on the Enterprise tier for 300 agent seats with Voice, Live Chat, Quality Management and Workforce Management, 13 months of data retention, for a stated annual total of 1,116,000 US dollars. It is ready to send.

    
Verdict: Allowed.

    
    
      
  • Price summary. 300 agent seat(s), list 1,116,000 dollars, discount 0 dollars, annual total 1,116,000 dollars (illustrative prices).
    • 
    

  

  

    
Narration transcript
Click to expand
    
The text of the narrated walkthrough, step by step.

    
    
      
  1. Welcome to a demo of Predictika's Validator. An AI sales agent prepares an annual subscription quote for Sprinklr Service: a tier, a number of agent seats, modules such as Voice, and more. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of these quotes and returns a verdict, every reason and the total it computed.
    2. 
      
  2. I will start with the first request by the agent.
    3. 
      
  3. The agent says. Please quote an annual Sprinklr Service subscription on the Standard tier for 8 agent seats with Voice, Live Chat, Conversational AI and Agent Assist. It is ready to send. The rest of the request is on screen.
    4. 
      
  4. Before it goes out, the agent calls the validator.
    5. 
      
  5. Blocked, with four findings, all in one answer. The quote has 8 agent seats; an annual Sprinklr Service subscription starts at 10 seats. Sprinklr Voice is not available on the Standard tier; it needs Advanced or Enterprise. Conversational AI, Agent Assist, Quality Management and Workforce Management need the Advanced or Enterprise tier; the quote has 2 of them on Standard. The other one is on screen.
    6. 
      
  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.
    7. 
      
  7. What this shows: for a module that is sold only on some tiers, a rules-based CPQ is error-prone for this.
    8. 
      
  8. Now the agent resubmits.
    9. 
      
  9. The corrected request. It changes the tier to advanced, the agent seats to 10, the Knowledge Base to yes and the total as stated on the quote to 63,400.
    10. 
      
  10. It calls the validator again.
    11. 
      
  11. This time the validator clears it.
    12. 
      
  12. All four earlier findings are cleared.
    13. 
      
  13. Four problems caught in one call, fixed in one pass, and a clean quote. That is the value of Predictika's validator: catching mistakes before they reach the customer. Now you can try the other scenarios yourself.
    14.