| 45c9cfb62a437313… | Fabric should be used for the governed data model, including the lakehouse or warehouse, semantic models, and the business-metrics layer, so that core structured data remains in the Microsoft data foundation. | active | contextual | yes | |
| 87ca9b4b1903c4e0… | Fabric should be used for data integration and storage functions including OneLake, pipelines, and mirroring from Shopify, Amazon, and similar sources so that Pyrana can consume those governed data assets. | active | contextual | yes | |
| 6b02584b5c0eeb88… | A credible recommendation should explicitly identify what should not be placed in Pyrana so that Fabric is used for those functions and Pyrana consumes them rather than replacing them. | active | contextual | yes | |
| cf96cb62d986dd86… | Specific Pyrana commercial terms are provided separately by Zeroth Agents, while Fabric pricing depends on the Microsoft agreement, region, and reserved-versus-pay-as-you-go choice. | active | contextual | yes | |
| 356924c588ca0c8c… | For a mandate to deliver value quickly while meeting a high governance bar, the configured platform is typically lower total cost and far lower risk than a custom build. | active | contextual | yes | |
| c5014b9288f2d9ec… | The real financial choice is whether to fund a custom agent-platform build with engineering and maintenance or to fund a configured platform subscription, because Fabric infrastructure is common to both options. | active | contextual | yes | |
| ef1397221f446e88… | A mid-size Fabric capacity such as an F64 SKU costs on the order of several thousand US dollars per month, with materially lower pricing available through reserved capacity. | active | contextual | yes | |
| 7dadd8e13720592b… | Fabric capacity is required in both options because Fabric remains the data foundation regardless of whether Pyrana is used, so the infrastructure decision is not Fabric versus Pyrana. | active | contextual | yes | |
| f32153c12c7004fe… | Alignment to the RFP governance language is achievable with effort in a direct Fabric build, whereas Pyrana is natively near one-to-one aligned with that governance language. | active | contextual | yes | |
| 8a820de1f083b1f9… | Cost predictability is variable and engineering-led for a direct Fabric build, while Pyrana offers predictability through a subscription plus scoped sprints so that budgeting is more controlled. | active | contextual | yes | |
| eb412af1977b5a36… | Key-person and maintenance risk is concentrated in custom code for a direct Fabric build, whereas Pyrana diffuses that risk into a supported platform so that dependency on individual builders is reduced. | active | contextual | yes | |
| 48e8db32a24f08d1… | The engineering burden on Summer Fridays is high and ongoing for a direct Fabric build, but low with Pyrana because the vendor platform owns that burden. | active | contextual | yes | |
| 59ff84543c80cbe4… | On day-one governance completeness, direct Fabric is partial because the customer must build the hard parts, while Pyrana is complete because citations, typing, HITL, and audit are already shipped. | active | contextual | yes | |
| 324b20e6d100c89d… | For time to governed agents, a direct Fabric build takes months because platform construction precedes value delivery, whereas Pyrana on Fabric takes weeks by configuring an existing platform. | active | contextual | yes | |
| d8329e1e8440a5e3… | The cost profile of Pyrana on Fabric combines unchanged Fabric capacity with a platform subscription and scoped delivery sprints, requiring far less bespoke engineering to build and maintain the solution. | active | contextual | yes | |
| a5ff6ef295f6e756… | Pyrana on Fabric delivers agentic applications in weeks rather than months by using a configuration-over-code approach so that governed solutions reach production faster. | active | contextual | yes | |
| a6180d9c45ea0b2f… | Under the Pyrana model, Pyrana owns the platform, its hardening, and its upgrades while the customer team configures use cases so that platform maintenance responsibility is shifted to the vendor. | active | contextual | yes | |
| 8401a8f4344549c8… | Pyrana includes built-in governance features including citations, typing, validation, HITL, telemetry, and audit so that the platform matches the RFP governance requirements line-for-line. | active | contextual | yes | |
| 78b09aece1871e99… | Pyrana on Fabric is the recommended option because it provides a pre-integrated, governed agentic platform that already runs on Azure and reads OneLake, reducing the need to assemble core platform components. | active | contextual | yes | |
| eede6e4a375ed0f5… | The cost profile of building directly on Fabric includes Fabric capacity, Foundry consumption, and sustained senior-engineering effort so that total spend is driven by both platform usage and custom engineering labor. | active | contextual | yes | |
| 79c083f047ff879f… | The time-to-value for building directly on Fabric is the longest because a platform build must run underneath the data project before business value is realized. | active | contextual | yes | |
| a5696dad4109f793… | A direct Fabric build leaves the customer responsible for integration, security hardening, testing, and ongoing maintenance as Azure services evolve so that operational burden remains internal over time. | active | contextual | yes | |
| 346f512f12e536ef… | When building directly on Fabric, the team must engineer governance features such as fact-versus-recommendation typing, source-to-AI citations, validation, and human-in-the-loop controls because these capabilities are not turnkey. | active | contextual | yes | |
| 0c8232910a0644cd… | Building directly on Fabric requires assembling Foundry Agent Service, an agent framework, retrieval, vector store, citation and provenance model, injection defenses, agent telemetry, and a custom frontend so that a complete agent platform exists. | active | contextual | yes | |
| 214dd17c88030816… | The comparative build-vs-buy decision is framed around the cost of achieving and sustaining a high capability ceiling under a requirement to deliver value quickly, rather than around whether Fabric plus Foundry and custom build can theoretically reach high capability. | active | contextual | yes | |
| ebe983614d7cca41… | Because Pyrana is configuration-driven, its handoff package consists of documentation-as-code artifacts that Summer Fridays IT can read, review, and own so that operational ownership can transfer without relying on bespoke code interpretation. | active | contextual | yes | |
| 03fbe87b8cba13fa… | Fabric Data Agents should be used for structured-data question answering when users need quick natural-language questions answered over the governed model. | active | contextual | yes | |
| 96f22cbbf0bd07fe… | Fabric Real-Time Intelligence should be used for real-time or streaming analytics where those capabilities are applicable. | active | contextual | yes | |
| 09a19a8250cbcf5d… | Microsoft Purview should serve as the governance authority of record for catalog, lineage, and data loss prevention within the Fabric-centered architecture. | active | contextual | yes | |
| 2600991afb85a595… | Power BI in Fabric should be used for BI dashboards covering Launch Retrospective, Brand Health, Media Activation, and eCommerce reporting. | active | contextual | yes | |
| 89868612f00d8af5… | Fabric should host the governed data model, including the lakehouse or warehouse, semantic models, and the business-metrics layer, so that Pyrana can consume a governed analytical foundation. | active | contextual | yes | |
| 531c00b5ba4ba342… | Fabric should be used for data integration and storage, including OneLake, pipelines, and mirroring from systems such as Shopify and Amazon, because these are foundational data-platform capabilities. | active | contextual | yes | |
| b280cad755c78f3f… | A credible recommendation should explicitly identify what should not be implemented in Pyrana, and those capabilities should instead use Fabric because Pyrana consumes them rather than replacing them. | active | contextual | yes | |
| a37a55b2b0908a4e… | Specific Pyrana commercial terms are provided separately by Zeroth Agents, while Fabric pricing depends on the customer's Microsoft agreement, region, and reserved-versus-pay-as-you-go choice. | active | contextual | yes | |
| f160bdb1c0dea5d4… | For a mandate to deliver value quickly while meeting a high governance bar, a configured platform is typically lower in total cost and far lower in risk than a custom build. | active | contextual | yes | |
| bb7ccb5a6608e4c1… | The cost decision is not Fabric versus Pyrana on infrastructure cost, but whether to fund a custom agent-platform build with engineering and maintenance or a configured platform subscription. | active | contextual | yes | |
| 120cc752a3ad2c98… | A mid-size Fabric capacity such as an F64 SKU costs on the order of several thousand US dollars per month, and the cost is materially lower when reserved capacity is used. | active | contextual | yes | |
| 84325203436ed25e… | Fabric capacity is required in both options because Fabric remains the data foundation regardless of whether the organization chooses a custom build or Pyrana on Fabric. | active | contextual | yes | |
| f195bd45574550ce… | Alignment to the RFP governance language is achievable with effort in a direct Fabric build, but Pyrana provides native, near one-to-one alignment from the start. | active | contextual | yes | |
| 6d89e673f3895872… | Cost predictability is variable for direct Fabric builds because costs are engineering-led, while Pyrana offers more predictable costs through a subscription plus scoped sprints. | active | contextual | yes | |
| 76c14f9b5c6c1716… | Key-person and maintenance risk is concentrated in custom code when building directly on Fabric, whereas Pyrana diffuses that risk into a supported platform. | active | contextual | yes | |
| 8100977eb47e2ca6… | The engineering burden on Summer Fridays is high and ongoing for direct Fabric builds, but low with Pyrana because the vendor or platform owns that burden. | active | contextual | yes | |
| e66b6ec2ecbcdd27… | On day one, governance completeness is partial for direct Fabric builds because the customer must build the hard parts, while Pyrana ships complete governance including citations, typing, human-in-the-loop, and audit. | active | contextual | yes | |
| 98722d252a46f9e1… | In the comparison table, time to governed agents is measured in months for direct Fabric builds because platform construction precedes value, whereas Pyrana reaches that state in weeks by configuring an existing platform. | active | contextual | yes | |
| e9092ad70c82308b… | The cost profile of Pyrana on Fabric consists of unchanged Fabric capacity, a platform subscription, and scoped delivery sprints, with far less bespoke engineering required to build and maintain the solution. | active | contextual | yes | |
| 6e6f712cdc920e62… | Pyrana on Fabric delivers agentic applications in weeks rather than months because it uses a configuration-over-code approach on an existing platform. | active | contextual | yes | |
| b73e254ff569f5b9… | With Pyrana on Fabric, Pyrana owns the platform, its hardening, and its upgrades, while the customer team focuses on configuring use cases rather than building platform internals. | active | contextual | yes | |
| cd3c7ee118dd1d5b… | Pyrana includes built-in governance features such as citations, typing, validation, human-in-the-loop controls, telemetry, and audit capabilities so that it matches the RFP governance requirements line-for-line. | active | contextual | yes | |
| b9629649bbc3c66d… | Pyrana on Fabric is presented as the recommended option because it is a pre-integrated, governed agentic platform that already runs on Azure and reads OneLake. | active | contextual | yes | |
| 967dbbeb9a59b7a4… | The cost profile of building directly on Fabric includes required Fabric capacity, Foundry consumption, and sustained senior engineering effort, making the approach engineering-led in cost structure. | active | contextual | yes | |