Predictika · Everpure FlashArray quote-to-cash: quote to manufacturing BOM

An AI sales agent's bill of materials, checked before it goes to the factory

Once a customer quote for an Everpure FlashArray is approved, it is converted into the bill of materials for manufacturing or assembly. When a quoted part is short, or a substitute is not equivalent, the BOM swaps in another one. An AI sales agent prepares that BOM. Before it is released, the agent sends it to Predictika, which checks every part against the quote, the array it goes into, the site, the stock on hand and the committed delivery date, and returns a verdict and every reason.

Scope: the BOM for Everpure FlashArray//X and //XL orders: controller chassis, DirectFlash modules and expansion shelves; capacity, fit, stock against the delivery date, equivalence and cost. See everything this validator covers

This validator checks the manufacturing BOM for any FlashArray//X70, //X90 or //XL170 order, not just the scenarios shown below.

Illustrative, not Everpure's: the stock, lead times and part costs (an invented snapshot dated October 3, 2026). Model assumptions: the DirectFlash module sizes (24, 48, 75 and 150 TB), the 24-module expansion shelf, the R4 controller chassis and the alternate build site chassis are simplified illustrative values, not Everpure part data.

  • Capacity — The DirectFlash modules in the BOM must deliver the raw capacity the quote states, within the array's maximum, and the effective capacity the customer needs. The stated raw and effective capacity and the stated ship time must match what the BOM delivers.
  • Equivalence — The chassis must be the quoted array model and the same controller generation, because Evergreen entitlements and upgrades are tied to it. A module must fit the array family, and only qualified modules may be used under a qualified-only customer policy.
  • Fit — Module slots in the chassis, and expansion shelves when more are needed; rack units and power draw against what the site has.
  • Stock and delivery — Parts the order needs against what is free, and when more arrives, compared with the committed delivery date.
  • Policy and cost — Customer rules on substitutions, and a margin review when the substitutes cost more than the quoted parts or the quoted raw capacity is exceeded.

Not covered: FlashArray//C, //E and //XL130 and //XL190 models, FlashBlade, software and firmware images, and build-floor scheduling. Assumptions: stock, lead times and part costs are invented illustrative values as of October 3, 2026, not Everpure data; the hardware specifications are simplified from public datasheets; the customer, its contract rules and the agent are fictional.

The AI sales agentTakes the approved quote, picks the parts to build with, and asks to release the order.
Predictika validatorChecks every part, quantity and date at once and returns the verdict and each finding.
Bill of MaterialsOnce the quote is approved and the checks pass, it becomes the list of parts for manufacturing or assembly.

7 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
A part is short, so the BOM needs another oneOnly with workarounds
Stock lives in an ERP or planning system outside the quote. A rules-based CPQ explodes the quote into the BOM whatever is on the shelf, unless that data is integrated and kept current.
Stock and lead time per part are in the model; the order is checked against them on every call.
A substitute that is not equivalent, such as an older controller generationOnly with care
One equivalence rule per attribute and per part family. It works until a new generation or family arrives and someone has to add its rules.
The generation and model of the chassis, and the family of each module, are compared with the quote every time.
Modules that do not fit the chassis, the rack or the site powerOnly with care
Slot counts, shelf rules, rack units and wattage are written per model, so each new array means more rules to maintain.
Slots, shelves, rack units and power draw are computed from the BOM and checked together.
Substitutes that cost more than the quoted partsOnly with workarounds
The price on a signed quote is fixed. Comparing it with the cost of what is actually built needs a separate margin report that someone has to run.
The cost of the BOM against the quoted parts routes a margin review.
Every problem returned in one answerOnly with workarounds
Rules tend to fire as each step is completed, so a planner often fixes one error and meets the next.
All findings come back together, blocks first, then approvals.

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 release; approval findings need a person to sign off.

1FlashArray//X90 R4 controller chassis is controller generation R4; the quote is for generation R5, which Evergreen entitlements and upgrades are tied to.
2DirectFlash Module 75 TB: the order needs 16 and 6 are free; the next supply arrives in 9 weeks, so the order ships in 11 weeks against the 6 committed.
3The agent states a ship time of 3 weeks; the validator computes 11 weeks from the parts supply.
4The chassis and shelves take 11 rack units; the site has 8.
5The substitute parts are worth $18,000 more than the quoted parts at cost; supplying them at the quoted price needs a margin review.

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. Three problems in one order: Older chassis, modules short of supply and a ship time that is not true

The agent's request. The customer signed a quote for a FlashArray//X90 R5 with 1,200 TB raw and 4,000 TB effective capacity, built from 75 TB DirectFlash modules, for a site with 12 rack units and 3,000 W. We committed delivery in 6 weeks and the order ships in 3 weeks. The quote is approved. Build the BOM with the X90 R4 controller chassis we have in stock and the 16 quoted modules, and release the order.

Verdict: Blocked.

  • Substitute chassis is a different generation. FlashArray//X90 R4 controller chassis is controller generation R4; the quote is for generation R5, which Evergreen entitlements and upgrades are tied to.
  • Not enough stock for the committed date. DirectFlash Module 75 TB: the order needs 16 and 6 are free; the next supply arrives in 9 weeks, so the order ships in 11 weeks against the 6 committed.
  • Ship time the agent states is not true. The agent states a ship time of 3 weeks; the validator computes 11 weeks from the parts supply.

2. Three problems in one order: The agent resubmits after fixing the errors

The agent's request. Same order, same 6-week commitment. Use the R5 controller chassis and 8 of the 150 TB DirectFlash modules, which give the same 1,200 TB raw. It ships in 2 weeks. Please release the order.

Verdict: Allowed.

  • Sizing summary. 8 x DirectFlash Module 150 TB gives 1,200 TB raw and 4,374.48 TB effective on the FlashArray//X90 R5; the quote calls for 1,200 TB raw and 4,000 TB effective.

3. Supply shortage: Modules short of supply: ships in 11 weeks against 6 committed

The agent's request. The customer signed a quote for a FlashArray//X90 R5 with 1,200 TB raw and 4,000 TB effective capacity, built from 75 TB DirectFlash modules, for a site with 12 rack units and 3,000 W. We committed delivery in 6 weeks. The quote is approved. Please build the manufacturing BOM from the quoted parts, 16 modules, and release the order.

Verdict: Blocked.

  • Not enough stock for the committed date. DirectFlash Module 75 TB: the order needs 16 and 6 are free; the next supply arrives in 9 weeks, so the order ships in 11 weeks against the 6 committed.

4. Supply shortage: The agent resubmits after fixing the errors

The agent's request. Same order, same 6-week commitment. Build it with the 150 TB DirectFlash module instead, 8 of them, which give the same 1,200 TB raw. Please release the order.

Verdict: Allowed.

  • Sizing summary. 8 x DirectFlash Module 150 TB gives 1,200 TB raw and 4,374.48 TB effective on the FlashArray//X90 R5; the quote calls for 1,200 TB raw and 4,000 TB effective.

5. Equivalence of the substitute: Older-generation chassis in place of the quoted one

The agent's request. The customer signed a quote for a FlashArray//XL170 R5 with 1,500 TB raw and 5,200 TB effective capacity, built from 75 TB DirectFlash modules, for a site with 12 rack units and 3,500 W. We committed delivery in 8 weeks. The quote is approved. Build the BOM with the XL170 R4 controller chassis we have in stock and 10 of the 150 TB modules, and release the order.

Verdict: Blocked.

  • Substitute chassis is a different generation. FlashArray//XL170 R4 controller chassis is controller generation R4; the quote is for generation R5, which Evergreen entitlements and upgrades are tied to.

6. Equivalence of the substitute: The agent resubmits after fixing the errors

The agent's request. Same order. Use the R5 controller chassis from the alternate build site instead of the R4 chassis. Please release the order.

Verdict: Allowed.

  • Sizing summary. 10 x DirectFlash Module 150 TB gives 1,500 TB raw and 5,634.45 TB effective on the FlashArray//XL170 R5; the quote calls for 1,500 TB raw and 5,200 TB effective.

7. Fit limits: Modules that need more rack space than the site has

The agent's request. The customer signed a quote for a FlashArray//X90 R5 with 1,200 TB raw and 4,000 TB effective capacity, for a site with 8 rack units and 3,000 W. We committed delivery in 12 weeks. The quote is approved. Build the BOM from 50 of the 24 TB DirectFlash modules, which we have in stock, and release the order.

Verdict: Blocked.

  • Too tall for the rack space. The chassis and shelves take 11 rack units; the site has 8.
  • Substitute costs more than quoted. The substitute parts are worth $18,000 more than the quoted parts at cost; supplying them at the quoted price needs a margin review.

8. Fit limits: The agent resubmits after fixing the errors

The agent's request. Same order. Use 16 of the 75 TB DirectFlash modules, with one expansion shelf, instead of the 24 TB modules. Please release the order.

Verdict: Allowed.

  • Sizing summary. 16 x DirectFlash Module 75 TB gives 1,200 TB raw and 4,374.48 TB effective on the FlashArray//X90 R5; the quote calls for 1,200 TB raw and 4,000 TB effective.

9. Margin review: Smaller modules supplied at the quoted price

The agent's request. The customer signed a quote for a FlashArray//X90 R5 with 1,200 TB raw and 4,000 TB effective capacity, built from 75 TB DirectFlash modules, for a site with 12 rack units and 3,000 W. We committed delivery in 12 weeks. The quote is approved. Build the BOM from 25 of the 48 TB modules, supplied at the quoted price, and release the order.

Verdict: Needs approval.

  • Substitute costs more than quoted. The substitute parts are worth $21,000 more than the quoted parts at cost; supplying them at the quoted price needs a margin review.
  • Sizing summary. 25 x DirectFlash Module 48 TB gives 1,200 TB raw and 4,374.48 TB effective on the FlashArray//X90 R5; the quote calls for 1,200 TB raw and 4,000 TB effective.

Narration transcript

Click to expand

The text of the narrated walkthrough, step by step.

  1. Welcome to a demo of Predictika's Validator. Once a customer quote for an Everpure FlashArray is approved, it is converted into the bill of materials for manufacturing or assembly. When a quoted part is short, or a substitute is not equivalent, the BOM swaps in another one. An AI sales agent prepares that BOM. Before it is released, the agent sends it to Predictika, which checks every part against the quote, the array it goes into, the site, the stock on hand and the committed delivery date, and returns a verdict and every reason.
  2. I will start with the first request by the agent.
  3. The agent says. The customer signed a quote for a FlashArray//X90 R5 with 1,200 TB raw and 4,000 TB effective capacity, built from 75 TB DirectFlash modules. We committed delivery in 6 weeks and the order ships in 3 weeks. The rest of the request is on screen.
  4. Before it goes out, the agent calls the validator.
  5. Blocked, with three findings, all in one answer. FlashArray//X90 R4 controller chassis is controller generation R4; the quote is for generation R5, which Evergreen entitlements and upgrades are tied to. DirectFlash Module 75 TB: the order needs 16 and 6 are free; the next supply arrives in 9 weeks, so the order ships in 11 weeks against the 6 committed. The agent states a ship time of 3 weeks; the validator computes 11 weeks from the parts supply.
  6. The validator returned three 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 BOM are checked against each other.
  7. What this shows: for stated capacity and ship time that the BOM does not deliver, a rules-based CPQ can do this only with workarounds.
  8. Now the agent resubmits.
  9. The corrected request. It changes the BOM controller chassis to FlashArray//X90 R5 controller chassis, the BOM DirectFlash modules to 8 x DirectFlash Module 150 TB and the ship time stated by the agent to 2 weeks.
  10. It calls the validator again.
  11. This time the validator clears it.
  12. All three earlier findings are cleared.
  13. Three problems caught in one call, fixed in one pass, and a clean BOM. That is the value of Predictika's validator: catching mistakes before they reach the factory.