Predictika · orthopedic knee systems, bearings, instruments and loaner trays

An AI sales agent's knee system supply quote, checked before it goes out

An AI sales agent prepares a multi-year supply quote for a knee replacement program at a fictional hospital group: an implant system, a bearing, an instrument platform, fixation, a stem extension, the kind of site, the monthly case volume, the instrument trays on loan, the contract term and an extra discount. Before it goes out, the agent sends it to Predictika's validator, which checks it against a declarative model of the product and commercial rules and reports every problem it finds, together with the price it computed, in one pass.

Scope: Knee replacement system supply quotes for four knee systems, two bearings and two instrument platforms, with fixation, stem extension, site, monthly case volume, loaner trays, contract term and discounts. Prices in US dollars are illustrative estimates. See everything this validator covers

This validator checks any supply quote for these knee systems, bearings and platforms, not just the scenarios shown below.

  • System compatibility — cementless fixation only on knees offered for it and with the crosslinked bearing; the robotic platform only on knees that support it; a stem extension with every revision knee.
  • Site — revision systems are not supplied to ambulatory surgery centers.
  • Instrument trays — trays required from the monthly case volume and the platform capacity, a block when too few are quoted, and a review when more than one extra is requested.
  • Contract — terms of one to five years and 1 to 200 cases a month.
  • Discount and contract size — a volume discount by case volume, an extra discount with an approval path and a limit, and an executive review above USD 15 million.

Any quote for these knee systems, bearings, platforms and sites is in scope, not only the scenarios pictured here. Not covered: other product lines such as hip, shoulder or sports medicine, real list prices, and clinical guidance.

The AI sales agentBuilds the knee system supply quote from the conversation and says it is ready to send.
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 this 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 or Revenue Cloud) 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
Trays required from case volumeOnly with workarounds
A sizing calculation against a platform capacity is usually custom code or a spreadsheet outside the quote.		The requirement is one calculation from a catalog attribute and the volume.
Fixation, bearing and platform that depend on the kneeOnly with care
Product rules for each combination of system, fixation, bearing and platform; each combination is a rule.		Each requirement is a catalog attribute checked on every call.
Systems not supplied to certain sitesOnly with care
Account or site type rules per product that grow with every new system.		The site is an input compared with a system attribute.
Extra discount with an approval path and a limitOnly with care
Discount schedules and approval rules; thresholds are easy to misorder.		The cap and the approval band are one calculation.
Every problem returned in one answerOnly with workarounds
Rules tend to fire as the quote is saved, 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.

    
1A revision knee needs a stem extension.
2The revision knee is not offered for cementless fixation, and cementless fixation needs the crosslinked polyethylene bearing.
3The revision knee does not support the robotic assisted platform.
4Revision systems are not supplied to ambulatory surgery centers.
5The instrument trays quoted must cover the trays needed for the monthly case volume.
6More than one tray above the number needed requires approval from the loaner inventory manager.
7The contract term must be from 1 to 5 years, and the volume from 1 to 200 cases a month.
8An extra discount above the 8 percent a rep can give needs sales director approval.
9An extra discount above 15 percent is not allowed.
10A contract value above USD 15,000,000 needs an executive review.
11The net total stated on the quote must match the total the validator computes.

  

  

    
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. An extra discount over the limit: An 18 percent extra discount on a knee program

    
The agent's request. Cruciate retaining knee system with the crosslinked bearing and the manual instrument set for a hospital, 30 cases a month, 2 trays, 3 years, with an 18 percent extra discount. Ready to send.

    
Verdict: Blocked.

    
    
      
  • Discount over the limit. An extra discount of 18 percent exceeds the 15 percent limit.
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2. An extra discount over the limit: The agent resubmits after fixing the errors

    
The agent's request. Same program, now with a 10 percent extra discount. Ready to send.

    
Verdict: Needs approval.

    
    
      
  • Discount approval. An extra discount of 10 percent is above the 8 percent a rep can give, so the sales director must approve.
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3. An extra discount over the limit: The agent resubmits after fixing the errors

    
The agent's request. Same program with no extra discount. Ready to send.

    
Verdict: Allowed.

    
4. Too few instrument trays: Two trays quoted for 50 cases a month

    
The agent's request. Cruciate retaining knee system with the crosslinked bearing and the manual instrument set for a hospital, 50 cases a month, 2 trays, 3 years. Ready to send.

    
Verdict: Blocked.

    
    
      
  • Too few trays. Two instrument trays are quoted; three are needed for 50 cases a month.
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5. Too few instrument trays: The agent resubmits after fixing the errors

    
The agent's request. Same program with 3 trays. Ready to send.

    
Verdict: Allowed.

    
6. A revision knee without its stem extension: A revision knee quoted without a stem extension

    
The agent's request. Revision knee system with the crosslinked bearing and the manual instrument set for a hospital, 10 cases a month, 1 tray, 3 years. Ready to send.

    
Verdict: Blocked.

    
    
      
  • Stem extension missing. The revision knee needs a stem extension, and none was quoted.
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7. A revision knee without its stem extension: The agent resubmits after fixing the errors

    
The agent's request. Same revision program with the stem extension added. Ready to send.

    
Verdict: Allowed.

  

  

    
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 multi-year supply quote for a knee replacement program at a fictional hospital group: an implant system, a bearing, an instrument platform, and more. Before it goes out, the agent sends it to Predictika's validator, which checks it against a declarative model of the product and commercial rules and reports every problem it finds, together with the price it computed, in one pass.
    2. 
      
  2. I will start with the first request by the agent.
    3. 
      
  3. The agent says. Cruciate retaining knee system with the crosslinked bearing and the manual instrument set for a hospital, 30 cases a month, 2 trays, 3 years, with an 18 percent extra discount. Ready to send.
    4. 
      
  4. Before it goes out, the agent calls the validator.
    5. 
      
  5. Blocked, with one finding, all in one answer. An extra discount of 18 percent exceeds the 15 percent limit.
    6. 
      
  6. The validator returned one blocking finding 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 extra discount with an approval path and a limit, rules-based CPQ is error-prone for this.
    8. 
      
  8. Now the agent resubmits.
    9. 
      
  9. The corrected request. It changes the extra discount requested to 10 percent.
    10. 
      
  10. It calls the validator again.
    11. 
      
  11. Not blocked, but held for a person.
    12. 
      
  12. The one blocking finding is cleared; one approval remains for a person: discount approval.
    13. 
      
  13. The agent resubmits once more.
    14. 
      
  14. The revised request. It removes the extra discount requested.
    15. 
      
  15. It calls the validator once more.
    16. 
      
  16. This time the validator clears it.
    17. 
      
  17. The earlier finding is cleared.
    18. 
      
  18. One problem caught in one call, fixed in two passes, 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.
    19.