First Flight — 90-Day Pilot Overview Start First Flight All Resources
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90-Day Pilot Program
Deployment Program  ·  Fixed Scope  ·  Fixed Fee

First Flight:90 Days to Governed Intelligence

A fixed-scope, fixed-fee deployment that gets Aevah live on your existing data stack in 90 days. You walk away with a governed semantic layer, your first analytics use case in production, and an AI-ready data foundation built to scale. Not a prototype.

Audience CIO · CDO · CFO · VP of Technology
Duration 90 days, 3 phases
Pricing Fixed-scope, fixed-fee
By Aevah · aevah.com
90
Days from kickoff to production-ready intelligence layer
Day 1
ROI target defined and agreed before the engagement starts
Zero
Rip-and-replace. Aevah deploys on your existing Snowflake, dbt, or Databricks stack
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What First Flight Delivers

Three outputs you own at the end of 90 days.

First Flight is not a proof of concept that expires when the engagement ends. Every deliverable is production-grade and owned by your team. The engagement scope is set before kickoff so there is no ambiguity about what you are getting or what it costs.

1
Governed Semantic Layer
A consistent metric and entity definition layer built on your existing dbt or Snowflake investment. Every KPI defined once and trusted everywhere, from the CFO dashboard to the analyst workbench.
2
First Analytics Use Case in Production
One high-value analytics use case selected at kickoff and live by week 13. Not a demo. Not a staging environment. Production, with your data, your governance rules, and your business logic applied.
3
AI-Ready Data Foundation
A governed, lineage-tracked data layer that your AI and ML teams can build on immediately. No governance retrofits. No manual remediation before the next initiative can start.
Why Fixed Scope Matters
Most enterprise data engagements expand in scope, extend in timeline, and increase in cost before the client sees value. First Flight eliminates that risk with a signed deliverable scope before kickoff, a fixed fee regardless of complexity discovered mid-engagement, and a defined ROI target that we measure against on day 90.
The 90-Day Timeline

Three phases, thirteen weeks.

The timeline is structured to deliver a visible proof point by the end of each phase, so your leadership team is never more than a few weeks from a meaningful milestone.

Phase 1
Weeks 1 to 3
Discovery and Data Audit
Map your existing data stack, identify source system inconsistencies, and define the governance requirements for the semantic layer.
  • Source system inventory and lineage mapping
  • SKU and entity hierarchy audit
  • Use case selection and ROI target finalization
  • Governance and access control requirements
Phase 2
Weeks 4 to 10
Semantic Layer and Governance Build
Build the governed metric layer, entity resolution, and data quality framework on your existing cloud stack.
  • dbt model build and metric definition deployment
  • AI-native entity resolution layer
  • Data quality tests and lineage instrumentation
  • Role-based access configuration and SSO integration
Phase 3
Weeks 11 to 13
Analytics and AI Activation
Deploy the first use case to production, validate outputs against business expectations, and hand off to your team.
  • Production deployment of first analytics use case
  • Commercial team validation and sign-off
  • ROI measurement against day-one target
  • Documentation and internal handoff package
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What You Own

Not a prototype. A production-ready intelligence layer.

First Flight is designed so that day 90 is not the end of a pilot. It is the beginning of a governed intelligence layer that scales from a single use case to the full enterprise over time. Your team owns everything built during the engagement.

All dbt Models
Every transformation model, staging layer, and metric definition built during the engagement is yours. Documented, version-controlled, and ready for your team to extend.
Semantic Layer Config
The full metric and entity definition layer deployed to your Snowflake or Databricks environment. Your definitions, your governance rules, your naming conventions.
Governance Framework
Data quality tests, lineage tracking setup, and access control configuration. A repeatable pattern for every subsequent use case you deploy after the engagement ends.
Handoff Documentation
Architecture decision records, runbooks for ongoing maintenance, and a roadmap for the next use case. Your team can move forward without ongoing Aevah dependency.
No Multi-Year Dependency
First Flight is designed to leave you capable, not captive. We want clients to build on what we deploy, not to rely on us to maintain it. That is what production-ready means. After 90 days, you can extend the platform independently or bring us back for the next use case on the same fixed-scope model.
Track Record

What Aevah clients see when First Flight lands.

These outcomes come from client engagements where First Flight was the entry point. The use cases vary by industry and business context, but the pattern is consistent: a governed data layer accelerates every initiative that comes after it.

4x
Faster analytics development velocity on use cases built after the semantic layer is in place
90%
Reduction in time spent reconciling metric discrepancies across business units and reporting tools
13 wks
Average time from kickoff to first production analytics use case validated by the business team
Zero
Fixed-fee engagements that have exceeded original budget due to scope expansion or discovery surprises
Typical First Flight Use Cases
Unified pricing analytics layer for a distributed enterprise with 700-plus locations. Cross-division product hierarchy governance for a manufacturer with multiple ERP systems. AI-ready customer data layer enabling production ML scoring for a B2B distributor. Governed financial reporting semantic layer closing the gap between the data warehouse and finance team models.
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Start First Flight

Governed intelligence in production in 90 days.

Start with a scoping call. We will review your current stack, identify the highest-value first use case, and give you a fixed-scope proposal within one week. No obligation. No 12-week discovery engagement before we can tell you what it will cost.

Start First Flight

Deploys on Snowflake  ·  dbt  ·  Databricks  ·  Fixed scope  ·  Fixed fee