Predictika · Hospital information system subscription quotes

An AI sales agent's hospital information system quote, checked before it goes out

An AI sales agent prepares an annual subscription quote for a hospital information system: the platform, the care setting, the delivery model and support tier, the clinical modules, the integrations, the named users and beds, the term, the discount and the annual total the quote states. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of how these choices fit together and returns a verdict, every reason and the figures it computed.

Scope: One annual subscription quote for Dedalus ORBIS or ORBIS U: care setting, delivery, support, modules, integrations, users, beds, term, discount and the stated annual total. See everything this validator covers

This validator models ORBIS and ORBIS U subscription quotes, not just the scenarios shown below.

  • Platforms and care settings — the classic ORBIS and ORBIS U platforms for acute-care hospitals, mental health hospitals and rehabilitation facilities.
  • Delivery and support — SaaS, hosted or on-premise delivery with Standard, Extended or Premium support.
  • Modules and add-ons — the Nursing, Medication, Surgery, Emergency and Medical Controlling modules, an AI clinical support pack, and the DeepUnity PACS and XCare Suite integrations.
  • Quote terms — named users and beds, contract term, discount thresholds and the stated annual total compared with the computed one.

Any ORBIS subscription quote that touches these rules is in scope — not only the scenarios pictured here. Not covered: other Dedalus products, services and one-time project fees. Dedalus prices ORBIS by contract and number of users and does not publish a price list, so every price in this validator is modeled.

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

6 scenarios in 2 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 the care settingOnly with care
The Emergency, Surgery and Medical Controlling modules are for acute-care hospitals only, so each module needs its own rule on the care setting, and the list grows with every setting and module.
Setting and modules are fields of one quote and are checked against each other on every call.
An AI pack that needs a platform and another moduleOnly with workarounds
The pack needs ORBIS U and the Nursing module together, so a rule has to follow both choices wherever the rep changes them.
Platform, modules and the pack are in one request and are checked together.
A term and a support tier that depend on the delivery modelOnly with care
SaaS needs a longer term and Premium support needs managed delivery, so a term rule and a support rule must each sit beside the delivery choice.
Delivery, support and term are checked together on every call.
Discount tiers measured against a computed grossOnly with workarounds
The approval and block thresholds are percentages of a gross built from users, beds, modules and fees, so a separate rule must recompute that gross first.
The gross, the discount and both thresholds are computed on every call.
A stated total and several problems at onceOnly with workarounds
The stated annual total must be recomputed and compared, and rules tend to fire as steps are saved, so a rep fixes one error and meets the next.
The stated total is a field of the quote, and every finding comes back together.

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.

1The quote has 24 named users; a subscription needs at least 25.
2The quote covers 0 beds; this model prices 1 to 3,000 beds.
33,001 beds is a large multi-site deployment; a solution architect should size it before the quote is sent.
499 named users cannot cover 400 beds; at least 1 user for every 4 beds is needed.
5The Emergency module applies to acute-care hospitals only.
6The Surgery and operating-room module applies to acute-care hospitals only.
7The Medical Controlling (case coding) module applies to acute-care hospitals only.
8The AI clinical support pack runs on ORBIS U only.
9The AI clinical support pack (for example sepsis risk alerting) needs the Nursing module for vital-sign data.
10SaaS delivery needs a contract term of at least 3 years; the quote has 2 year(s).
11Premium 24x7 support requires Dedalus-managed delivery (SaaS or Hosted), not on-premise.
12The discount of 181,441 USD is more than 8 percent of the gross; a sales manager should approve it.
13The discount of 340,201 USD is more than 15 percent of the gross 2,268,000 USD.
14The quote states an annual total of 2,269,000 USD; the modeled prices give 2,268,000 USD.

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. Rehabilitation group on classic ORBIS: Classic ORBIS for a 1,200-bed rehabilitation group, on premise with Premium support

The agent's request. Please quote an annual ORBIS subscription for a rehabilitation facility with 1,200 beds and 250 named users, on-premise delivery, Premium support and a 3-year term, with the Nursing, Medication and Emergency modules and the AI pack and XCare Suite. The annual total is 1,905,500 USD. It is ready to send.

Verdict: Blocked.

  • Too few users for the beds. 250 named users cannot cover 1,200 beds; at least 1 user for every 4 beds is needed.
  • Emergency module needs an acute hospital. The Emergency module applies to acute-care hospitals only.
  • AI pack needs ORBIS U. The AI clinical support pack runs on ORBIS U only.
  • Premium support not for on-premise. Premium 24x7 support requires Dedalus-managed delivery (SaaS or Hosted), not on-premise.
  • Stated annual total does not match. The quote states an annual total of 1,905,500 USD; the modeled prices give 1,953,500 USD.
  • Large hospital group to size. 1,200 beds is a large multi-site deployment; a solution architect should size it before the quote is sent.

2. Rehabilitation group on classic ORBIS: The agent resubmits after fixing the errors

The agent's request. Please quote an annual ORBIS U subscription for a rehabilitation facility with 1,200 beds and 250 named users, hosted delivery, Extended support and a 3-year term, with the Nursing and Medication modules and the AI pack and DeepUnity PACS. The annual total is 2,209,000 USD. It is ready to send.

Verdict: Blocked.

  • Too few users for the beds. 250 named users cannot cover 1,200 beds; at least 1 user for every 4 beds is needed.
  • Large hospital group to size. 1,200 beds is a large multi-site deployment; a solution architect should size it before the quote is sent.

3. Rehabilitation group on classic ORBIS: The agent resubmits after fixing the errors

The agent's request. Please quote an annual ORBIS U subscription for a rehabilitation facility with 1,200 beds and 1,250 named users, hosted delivery, Extended support and a 3-year term, with the Nursing and Medication modules and the AI pack and DeepUnity PACS. The annual total is 3,829,000 USD. It is ready to send.

Verdict: Needs approval.

  • Large hospital group to size. 1,200 beds is a large multi-site deployment; a solution architect should size it before the quote is sent.
  • Subscription summary. Gross annual subscription 3,829,000 USD, net 3,829,000 USD after discount, 11,487,000 USD over the term.

4. Rehabilitation group on classic ORBIS: The agent resubmits after fixing the errors

The agent's request. Please quote an annual ORBIS U subscription for a rehabilitation facility with 950 beds and 1,000 named users, hosted delivery, Extended support and a 3-year term, with the Nursing and Medication modules and the AI pack and DeepUnity PACS. The annual total is 3,081,500 USD. It is ready to send.

Verdict: Allowed.

  • Subscription summary. Gross annual subscription 3,081,500 USD, net 3,081,500 USD after discount, 9,244,500 USD over the term.

5. Mental health hospital on ORBIS U: ORBIS U SaaS for a mental health hospital, with the surgery module and a 12 percent discount

The agent's request. Please quote an annual ORBIS U subscription for a mental health hospital with 300 beds and 500 named users, SaaS delivery, Extended support and a 2-year term, with the Nursing, Medication and Surgery modules and the AI pack and DeepUnity PACS, and a discount of 176,760 USD. The annual total is 1,296,240 USD. It is ready to send.

Verdict: Blocked.

  • Surgery module needs an acute hospital. The Surgery and operating-room module applies to acute-care hospitals only.
  • SaaS needs a term of 3 years or more. SaaS delivery needs a contract term of at least 3 years; the quote has 2 year(s).
  • Discount between 8 and 15 percent. The discount of 176,760 USD is more than 8 percent of the gross; a sales manager should approve it.

6. Mental health hospital on ORBIS U: The agent resubmits after fixing the errors

The agent's request. Please quote an annual ORBIS U subscription for a mental health hospital with 300 beds and 500 named users, SaaS delivery, Extended support and a 3-year term, with the Nursing and Medication modules and the AI pack and DeepUnity PACS, and a discount of 86,760 USD. The annual total is 1,359,240 USD. It is ready to send.

Verdict: Allowed.

  • Subscription summary. Gross annual subscription 1,446,000 USD, net 1,359,240 USD after discount, 4,077,720 USD over the term.

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 an annual subscription quote for a hospital information system: the platform, the care setting, the delivery model and support tier, and more. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of how these choices fit together and returns a verdict, every reason and the figures it computed.
  2. I will start with the first request by the agent.
  3. The agent says. Please quote an annual ORBIS subscription for a rehabilitation facility with 1,200 beds and 250 named users, on-premise delivery, Premium support and a 3-year term. The annual total is 1,905,500 USD. The rest of the request is on screen.
  4. Before it goes out, the agent calls the validator.
  5. Blocked, with five findings and one approval, all in one answer. 250 named users cannot cover 1,200 beds; at least 1 user for every 4 beds is needed. The Emergency module applies to acute-care hospitals only. The AI clinical support pack runs on ORBIS U only. The other two are on screen.
  6. The validator returned five blocking findings and one approval 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 and against the stated total.
  7. What this shows: for an AI pack that needs a platform and another module, a rules-based CPQ can do this only with workarounds.
  8. Now the agent resubmits.
  9. The corrected request. It changes the platform to ORBIS U, the delivery to hosted, the support to extended, the emergency to no and the stated annual total to $2,209,000. Two more changes are on screen.
  10. It calls the validator again.
  11. Still blocked, with one finding and one approval, all in one answer. 250 named users cannot cover 1,200 beds; at least 1 user for every 4 beds is needed.
  12. Four findings cleared. Still blocking: too few users for the beds. One approval also remains for a person: large hospital group to size.
  13. The agent resubmits once more.
  14. The revised request. It changes the named users to 1,250 and the stated annual total to $3,829,000.
  15. It calls the validator once more.
  16. Not blocked, but held for a person.
  17. The one blocking finding is cleared; one approval remains for a person: large hospital group to size.
  18. The agent resubmits again.
  19. The next revised request. It changes the beds to 950, the named users to 1,000 and the stated annual total to $3,081,500.
  20. It calls the validator yet again.
  21. This time the validator clears it.
  22. The earlier finding is cleared.
  23. Six problems caught in one call, fixed in three passes, and a clean $3,081,500 quote. That is the value of Predictika's validator: catching mistakes before they reach the customer. Now you can try the other scenarios yourself.