Predictika · Snowflake platform quotes

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

An AI sales agent prepares a Snowflake quote: region, edition, virtual warehouses, storage, capacity contract, agreement term, support and any compliance requirement, in US dollars. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of the pricing and quoting rules, compares the annual total the quote states with the computed one, and returns every finding together with the line-item quote. This is an illustrative model built from public product information with illustrative prices; it is not Snowflake's internal rule set.

Scope: Snowflake platform quotes (region, edition, virtual warehouses and credits, storage, capacity contracts, term, support and security features). See everything this validator covers

This validator models one slice of Snowflake pricing: platform quotes for virtual warehouses and storage, with the region, edition, capacity contract, agreement term, support plan and security features around them. It handles any quote built from those parts, not only the scenarios shown on this page. It does not cover Snowflake features outside platform pricing, or other vendors.

  • Covered: region and edition — AWS, Azure and Google Cloud regions with their credit and storage rates, and the Standard, Enterprise, Business Critical and Virtual Private Snowflake editions, with the features each includes (Time Travel, materialized views, multi-cluster, HIPAA and PCI, PrivateLink, Tri-Secret Secure, failover).
  • Covered: warehouses — size, standard or snowpark-optimized type, hours a day and days a month, cluster counts and auto-suspend settings, with checks on each.
  • Covered: capacity contracts — 1-year and 3-year capacity plans sized against planned consumption and matched to the agreement term.
  • Covered: commercial terms — the line-item quote, support plans, deal discounts that need a capacity contract and stay within the spend-based limit, the empty-quote check, and the annual total the agent states.
  • Not covered — Snowflake features outside platform pricing, cloud provider charges, and real Snowflake contract terms. Other areas can be added.
  • Labeled as assumptions — credit prices, storage rates, capacity plans, support amounts and discount limits are illustrative values built from public product information, not a Snowflake price list.
The AI sales agentBuilds the Snowflake 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.

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

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
Annual total built from warehouses, credits, capacity, discount and supportOnly with care
Compute credits depend on size, type, edition and region; capacity discounts the on-demand rates; a deal discount and a support plan sit on top. A rule set can price each step, but every step has to be kept in step with the others.
The whole chain is computed on every call and returned as line items that add up to the annual total and the whole-agreement total.
Capacity plan sized against usage, with the term matched to the agreementOnly with care
Undersized and oversized plans are two thresholds against the same consumption figure, and the plan term has to match the agreement term. Each works alone; together they are easy to leave out of step.
Consumption, plan and agreement term are compared on every call: a term mismatch blocks, and a plan that is too large or costs more than on demand is flagged with the amounts.
Discount allowed only with a capacity contract and only up to a spend-based limitOnly with care
The permitted discount depends on the annual platform spend after capacity and on whether there is a capacity contract at all.
The permitted discount is computed from the platform spend on every call and compared with the one requested.
Compliance and security features that depend on the editionOnly with care
HIPAA, PCI, PrivateLink, Tri-Secret Secure and failover all need Business Critical, while Time Travel and materialized views need Enterprise. The same feature list leads to a block or a price depending on the edition.
The requested features are checked against the edition on every call and the finding names the edition that falls short.
Annual total that the agent states must match the computed oneOnly with workarounds
A validation rule can compare a stated figure with a calculated one only if the stated figure is a field on the quote, which it rarely is.
The stated annual total travels with the quote and is compared with the computed total on every call; a mismatch is its own block.

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.

1Time Travel beyond one day and materialized views need Enterprise edition or higher; Time Travel is also capped per edition (90 days at most).
2HIPAA or PCI workloads, PrivateLink, Tri-Secret Secure and failover need Business Critical or higher; Enterprise is blocked.
3A multi-cluster warehouse needs Enterprise or higher, and the average clusters must lie between 1 and the maximum.
4Virtual Private Snowflake is sold only on a capacity contract.
5A snowpark-optimized warehouse starts at Medium; smaller sizes are blocked.
6A warehouse cannot be planned for more than 24 hours a day.
7A quote with no warehouses is blocked.
8The capacity plan must run for the same number of years as the agreement; a mismatch is blocked.
9A deal discount needs a capacity contract, and it is limited by the annual platform spend; above the limit it is blocked.
10Capacity larger than planned consumption is flagged because the unused part would be lost, and a plan that costs more than on demand is flagged.
11Large on-demand spend is flagged, because a capacity contract would lower both compute and storage rates.
12Failover keeps a second copy of the storage, so storage is priced twice, with a warning.
13Turning auto-suspend off prices the warehouse around the clock; a very long auto-suspend is flagged as idle spend.
14The annual total the agent states must match the computed total to within one dollar; otherwise the quote is blocked.

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. Discount authority: Eight percent discount on a $250K plan

The agent's request. Quote for Larkspur Media on AWS US East (N. Virginia), Enterprise edition, 1 year agreement, 1-year $250K capacity plan, Priority support, with 100 TB of storage. Warehouses: Large standard warehouse, 12 hours a day, 30 days a month, up to 3 clusters (average 1.5); Medium snowpark-optimized warehouse, 10 hours a day, 22 days a month; X-Large standard warehouse, 6 hours a day, 30 days a month. A 8 percent deal discount is requested. The quote states an annual total of $295,247.04. It is ready to send.

Verdict: Blocked.

  • Discount above what is allowed. The requested 8 percent deal discount exceeds the 5 percent allowed for $288,312.00 of annual platform spend.

2. Discount authority: Discount lowered to 5 percent

The agent's request. Quote for Larkspur Media on AWS US East (N. Virginia), Enterprise edition, 1 year agreement, 1-year $250K capacity plan, Priority support, with 100 TB of storage. Warehouses: Large standard warehouse, 12 hours a day, 30 days a month, up to 3 clusters (average 1.5); Medium snowpark-optimized warehouse, 10 hours a day, 22 days a month; X-Large standard warehouse, 6 hours a day, 30 days a month. A 5 percent deal discount is requested. The quote states an annual total of $303,896.40. It is ready to send.

Verdict: Allowed.

  • Quote summary. Annual total $303,896.40: compute $306,720.00; storage $48,000.00; discount less $14,415.60; capacity less $66,408.00; support $30,000.00.

3. Compliance edition: HIPAA on Enterprise edition

The agent's request. Quote for Ironwood Health on AWS US East (N. Virginia), Enterprise edition, 1 year agreement, On demand plan, Premier support, with 20 TB of storage. Warehouses: Medium standard warehouse, 12 hours a day, 30 days a month. The workloads need HIPAA compliance. No deal discount. The quote states an annual total of $61,440.00. It is ready to send.

Verdict: Blocked.

  • Compliance needs Business Critical. HIPAA or PCI workloads, PrivateLink, Tri-Secret Secure and failover need Business Critical or higher; Enterprise does not include them.

4. Compliance edition: Business Critical quoted

The agent's request. Quote for Ironwood Health on AWS US East (N. Virginia), Business Critical edition, 1 year agreement, On demand plan, Premier support, with 20 TB of storage. Warehouses: Medium standard warehouse, 12 hours a day, 30 days a month. The workloads need HIPAA compliance. No deal discount. The quote states an annual total of $78,720.00. It is ready to send.

Verdict: Allowed.

  • Quote summary. Annual total $78,720.00: compute $69,120.00; storage $9,600.00.

5. Capacity term: Three-year plan on a one-year agreement

The agent's request. Quote for Cobalt Freight on AWS US East (N. Virginia), Enterprise edition, 1 year agreement, 3-year $750K capacity plan, Priority support, with 100 TB of storage. Warehouses: Large standard warehouse, 12 hours a day, 30 days a month, up to 3 clusters (average 1.5); Medium snowpark-optimized warehouse, 10 hours a day, 22 days a month; X-Large standard warehouse, 6 hours a day, 30 days a month. No deal discount. The quote states an annual total of $302,976.00. It is ready to send.

Verdict: Blocked.

  • Capacity plan does not match the term. The 3-year $750K capacity runs 3 years but the agreement is 1 year. The capacity plan must match the agreement.

6. Capacity term: Three-year agreement

The agent's request. Quote for Cobalt Freight on AWS US East (N. Virginia), Enterprise edition, 3 years agreement, 3-year $750K capacity plan, Priority support, with 100 TB of storage. Warehouses: Large standard warehouse, 12 hours a day, 30 days a month, up to 3 clusters (average 1.5); Medium snowpark-optimized warehouse, 10 hours a day, 22 days a month; X-Large standard warehouse, 6 hours a day, 30 days a month. No deal discount. The quote states an annual total of $302,976.00. It is ready to send.

Verdict: Allowed.

  • Quote summary. Annual total $302,976.00: compute $306,720.00; storage $48,000.00; capacity less $81,744.00; support $30,000.00.

7. Stated total: Stated total is off

The agent's request. Quote for Winterbourne Labs on AWS US East (N. Virginia), Enterprise edition, 1 year agreement, 1-year $250K capacity plan, Priority support, with 100 TB of storage. Warehouses: Large standard warehouse, 12 hours a day, 30 days a month, up to 3 clusters (average 1.5); Medium snowpark-optimized warehouse, 10 hours a day, 22 days a month; X-Large standard warehouse, 6 hours a day, 30 days a month. No deal discount. The quote states an annual total of $334,227.60. It is ready to send.

Verdict: Blocked.

  • Stated total does not match. Stated annual total does not match: the agent stated $334,227.60 a year; the validator computes $318,312.00 a year.

8. Stated total: Correct total stated

The agent's request. Quote for Winterbourne Labs on AWS US East (N. Virginia), Enterprise edition, 1 year agreement, 1-year $250K capacity plan, Priority support, with 100 TB of storage. Warehouses: Large standard warehouse, 12 hours a day, 30 days a month, up to 3 clusters (average 1.5); Medium snowpark-optimized warehouse, 10 hours a day, 22 days a month; X-Large standard warehouse, 6 hours a day, 30 days a month. No deal discount. The quote states an annual total of $318,312.00. It is ready to send.

Verdict: Allowed.

  • Quote summary. Annual total $318,312.00: compute $306,720.00; storage $48,000.00; capacity less $66,408.00; support $30,000.00.

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 a Snowflake quote: region, edition, virtual warehouses, and more. Before it goes out, the agent sends it to Predictika, which checks it against a declarative model of the pricing and quoting rules, compares the annual total the quote states with the computed one, and returns every finding together with the line-item quote. This is an illustrative model built from public product information with illustrative prices; it is not Snowflake's internal rule set.
  2. I will start with the first request by the agent.
  3. The agent says. Quote for Larkspur Media on AWS US East (N. Virginia), Enterprise edition, 1 year agreement, and more. The rest of the request is on screen. The quote states an annual total of $295,247.04.
  4. Before it goes out, the agent calls the validator.
  5. Blocked, with one finding, all in one answer. The requested 8 percent deal discount exceeds the 5 percent allowed for $288,312.00 of annual platform spend.
  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. What this shows: for discount allowed only with a capacity contract and only up to a spend-based limit, a rules-based CPQ is error-prone for this.
  8. Now the agent resubmits.
  9. The corrected request. It changes the deal discount to 5 percent and the stated annual total to $303,896.40.
  10. It calls the validator again.
  11. This time the validator clears it.
  12. The validator also returns the line-item quote. It starts with Large warehouse (standard) and X-Large warehouse (standard); the other five lines are on screen.
  13. The earlier finding is cleared, and the validator's total, $303,896.40, matches the quote.
  14. One problem caught in one call, fixed in one pass, and a clean $303,896.40 quote. That is the value of Predictika's validator: catching mistakes before they reach the customer. Now you can try the other scenarios yourself.