Predictika · clinical lab quotes: analyzers, automation, reagent rental and capital

An AI sales agent's lab quote, checked before it goes out

An AI sales agent prepares a lab quote for a fictional hospital or reference laboratory, with the contract total it expects. Before the quote goes out, the agent sends it to Predictika’s validator, which checks it against capacity, track, space, payback and discount rules, compares the contract total the agent states with the one it computes, and returns a verdict with every reason.

Scope: Beckman Coulter chemistry and immunoassay analyzers with DxA 5000 and Power Express automation, under reagent rental or capital purchase. See everything this validator covers

This validator checks quotes for Beckman Coulter AU and DxC chemistry analyzers, Access and DxI immunoassay analyzers, and DxA 5000 and Power Express automation, under reagent rental or capital purchase. It handles any lab quote built from those products and terms, not just the scenarios shown below.

  • Configuration — Alinity c, Alinity i and Alinity h-series module counts, throughput against daily test volumes, the troponin menu rule, and AlinIQ AMS middleware.
  • Lab type and terms — Hospital, reference lab and physician-office limits, contract term, and reagent discount ceilings with rep authority.
  • Reagent-rental commitment — The minimum annual commitment as a share of placed equipment, projected reagent use, overcommitment approval, annual billing and contract total, and a check that the annual billing the agent states matches the validator figure.

It does not cover other analyzers or businesses, real prices, rates or contracts, or any real customer.

The AI sales agentBuilds the quote from the conversation and says it is ready.
Predictika validatorChecks the quote against the product and contract rules and returns every finding it has.

8 scenarios in 4 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 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 catchesTypical rules-based CPQPredictika
Capacity against test volumeOnly with workarounds
Throughput per module, operating hours and the 70 percent planning factor must be combined for each module type; rules tend to check module counts but not the volume the lab actually runs.		Capacity is computed from the module row and checked against the stated daily volumes together with every other rule.
Module limits and prerequisitesOnly with care
The 4-module ci limit, the 2-module office limit, the AMS requirement at three modules and the troponin menu rule are each simple, but they interact with the customer type.		All limits are evaluated together on every call and each failure is returned with its reason.
A commitment bounded on both sidesOnly with workarounds
A floor from placed equipment and a ceiling from projected use, with billing at the greater of the commitment and the projection, is hard to express as separate price rules.		The floor, the projection and the billed amount are computed once and every check reads the same figures.
Approval stepsOnly with care
Discounts above rep authority and overcommitments need a person to sign off, and the release must stay blocked until they do.		Approval items are returned with the verdict and the release step is refused until the approval is recorded.
Line items that add up to the annual billingOnly with workarounds
Reagent lines at discounted rates, plus a shortfall line when the commitment exceeds use, are easy to get out of step with the billed total.		The same computed figures feed the line items and the total, so they reconcile exactly.
The billing the agent statesOnly with workarounds
Comparing a stated figure with a computed one means a separate rule per quote layout, and price rules rarely run on stated figures.		The stated annual billing is a field in the request and is checked against the computed billing.
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
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Every rule is checked on every call, in whatever order the choices arrive, and one problem never hides another. Blocking findings stop the quote; approval findings need a person to sign off; everything else is computed.

    
RuleEffectWhat it checks
1blockA ci-series system holds at most 4 chemistry and immunoassay modules together
2blockEach module type must carry the daily test volume at 70 percent of its rated throughput over the hours it runs (chemistry, immunoassay, hematology)
3blockHigh-sensitivity troponin I needs at least one Alinity i module
4blockA physician office lab is limited to 2 modules
5blockThree or more modules require AlinIQ AMS middleware
6blockThe contract term must be 3 to 7 years
7block, approvalThe reagent discount is capped by customer type (hospital 10, reference lab 15, physician office 5 percent); above the 3 percent rep authority it needs approval
8blockThe annual commitment must be at least 30 percent of the placed equipment list price
9approvalA commitment above projected reagent use needs approval, because the customer pays the shortfall
10computedAnnual billing is the greater of the commitment and projected reagent use; the contract total is annual billing times the term
11computedReagent charges are test volume times the contract rate after discount, with any shortfall shown as its own line
12blockThe annual billing the agent states must match the validator figure within $1

  

  

    
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. Chemistry capacity: One chemistry analyzer

    
The agent's request. A 5-year reagent-rental quote with 1 DxC 700 AU chemistry analyzer and 1 DxI 9000 Access immunoassay analyzer on a DxA 5000 Fit track, for 8,000 chemistry and 500 immunoassay tests a day over 12 hours, in a 500 sq ft lab on the Tier 2 GPO program. Contract total $8,460,000.00. Ready to send.

    
Verdict: Blocked.

    
    
      
  • Chemistry volume beyond analyzer capacity. 1 x DxC 700 AU at 70 percent of rated throughput over 12 hours cannot run 8000 chemistry tests per day.
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2. Chemistry capacity: Two chemistry analyzers

    
The agent's request. A 5-year reagent-rental quote with 2 DxC 700 AU chemistry analyzers and 1 DxI 9000 Access immunoassay analyzer on a DxA 5000 Fit track, for 8,000 chemistry and 500 immunoassay tests a day over 12 hours, in a 500 sq ft lab on the Tier 2 GPO program. Contract total $8,460,000.00. Ready to send.

    
Verdict: Allowed.

    
3. Automation track: Five modules on a Fit track

    
The agent's request. A 5-year reagent-rental quote with 2 DxC 700 AU chemistry analyzers and 3 DxI 9000 Access immunoassay analyzers on a DxA 5000 Fit track, for 6,000 chemistry and 1,500 immunoassay tests a day over 16 hours, in an 800 sq ft lab on the Tier 1 GPO program. Contract total $12,420,000.00. Ready to send.

    
Verdict: Blocked.

    
    
      
  • More analyzers than the track supports. DxA 5000 Fit supports 3 analyzer modules; the quote connects 2 chemistry plus 3 immunoassay.
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4. Automation track: Five modules on a DxA 5000

    
The agent's request. A 5-year reagent-rental quote with 2 DxC 700 AU chemistry analyzers and 3 DxI 9000 Access immunoassay analyzers on a DxA 5000 track, for 6,000 chemistry and 1,500 immunoassay tests a day over 16 hours, in an 800 sq ft lab on the Tier 1 GPO program. Contract total $12,420,000.00. Ready to send.

    
Verdict: Allowed.

    
5. Approvals: STAT lab, one analyzer, 6 percent discount

    
The agent's request. A 5-year reagent-rental quote for a 24-hour STAT lab with 1 DxC 700 AU chemistry analyzer and 1 UniCel DxI 800 immunoassay analyzer on a DxA 5000 Fit track, for 3,000 chemistry and 600 immunoassay tests a day, in a 500 sq ft lab on the Tier 2 GPO program, with a 6 percent reagent discount. Contract total $5,076,000.00. Ready to send.

    
Verdict: Needs approval.

    
    
      
  • No backup chemistry analyzer in a 24x7 lab. A 24x7 STAT lab with a single chemistry analyzer has no redundancy; lab director must accept the risk.
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  • Discount above rep authority needs approval. 6 percent reagent discount is above the 3 percent rep authority; approvable up to 8 percent.
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6. Approvals: Two analyzers, 3 percent discount

    
The agent's request. A 5-year reagent-rental quote for a 24-hour STAT lab with 2 DxC 700 AU chemistry analyzers and 1 UniCel DxI 800 immunoassay analyzer on a DxA 5000 Fit track, for 3,000 chemistry and 600 immunoassay tests a day, in a 500 sq ft lab on the Tier 2 GPO program, with a 3 percent reagent discount. Contract total $5,238,000.00. Ready to send.

    
Verdict: Allowed.

    
7. The total the agent states: Stated total too low

    
The agent's request. A 7-year reagent-rental quote with 1 DxC 700 AU chemistry analyzer and 1 DxI 9000 Access immunoassay analyzer on a DxA 5000 Fit track, for 3,000 chemistry and 500 immunoassay tests a day over 16 hours, with high-sensitivity troponin I, in a 500 sq ft lab on the Tier 2 GPO program. Contract total $5,783,400.00. Ready to send.

    
Verdict: Blocked.

    
    
      
  • Stated contract total differs from the validator figure. Stated contract total does not match: the agent stated $5783400.0 over 7 years; the validator computes $6804000.0.
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8. The total the agent states: Stated total corrected

    
The agent's request. A 7-year reagent-rental quote with 1 DxC 700 AU chemistry analyzer and 1 DxI 9000 Access immunoassay analyzer on a DxA 5000 Fit track, for 3,000 chemistry and 500 immunoassay tests a day over 16 hours, with high-sensitivity troponin I, in a 500 sq ft lab on the Tier 2 GPO program. Contract total $6,804,000.00. 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 lab quote for a fictional hospital or reference laboratory, with the contract total it expects. Before the quote goes out, the agent sends it to Predictika’s validator, which checks it against capacity, track, space, payback and discount rules, compares the contract total the agent states with the one it computes, and returns a verdict with every reason.
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  2. I will start with the first request by the agent.
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  3. The agent says. A 5-year reagent-rental quote. Contract total $8,460,000.00. The rest of the request is on screen.
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  4. Before it goes out, the agent calls the validator.
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  5. Blocked, with one finding, all in one answer. 1 x DxC 700 AU at 70 percent of rated throughput over 12 hours cannot run 8000 chemistry tests per day.
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  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.
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  7. What this shows: for capacity against test volume, a rules-based CPQ can do this only with workarounds.
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  8. Now the agent resubmits.
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  9. The corrected request. It changes the Chem Count to 2.
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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. The validator also returns the line-item quote, on screen.
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  13. The earlier finding is cleared, and the validator's total, $8,460,000.00, matches the quote.
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  14. One problem 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.
    15.