Question 1

What about data privacy? Do you train AI models on our data?

Accepted Answer

Your data stays private and under your control. We never use your instance data to train or improve commercial LLMs. We maintain zero data retention agreements with all model providers we work with.

Question 2

What's the value and expected ROI?

Accepted Answer

Teams using Echelon typically see 80% faster development cycles. The impact shows up as faster time-to-market, reduced backlog stress, freed-up senior developers for strategic work, and consistent quality across every deliverable.

Question 3

Can Echelon handle complex requirements?

Accepted Answer

Yes. Echelon is trained on over 100 real-world enterprise implementations. It handles multi-stage approval workflows, external system integration, dynamic data population, and complex UI policies.

Question 4

Can Echelon handle poorly written or incomplete user stories?

Accepted Answer

Yes. Echelon's research agent is specifically designed to identify gaps in user stories and ask clarifying questions before development begins. It can work with varying levels of story detail.

Question 5

Can Echelon work with our complex instance and existing customizations?

Accepted Answer

Absolutely. Echelon analyzes your instance architecture, existing catalogs, flows, variable sets, approval patterns, and custom applications before building anything new.

Question 6

What access permissions does Echelon need to our ServiceNow instance?

Accepted Answer

Echelon connects via OAuth 2.0 to your dev or sub-production instance using least-privilege principles. We can provide detailed access documentation during evaluation.

Impetus Innovation Party @ The View Lounge

The View Lounge, SF Marriott Marquis

Impetus Innovation Party @ The View Lounge

The View Lounge, SF Marriott Marquis

Also on Tuesday

Skyflow + Databricks Reception @ The Vault Garden

WinWire + Microsoft Data + AI Summit Happy Hour @ The Harlequin

Qubika LATAM Happy Hour @ YBCA Forum

Sigma Cross Industry Happy Hour @ La Mar