Question 1

Our leadership team asks questions faster than our data team can answer them. What actually changes with Edilitics?

Accepted Answer

Business users ask AskEdi questions directly in plain English and get a verified answer, a chart, and - when the question asks what to do or where to focus - a Decision Summary card with a recommended action, supporting evidence, a confidence level, and a validation metric. The data team's role shifts to a one-time setup (connecting sources, approving column definitions) rather than fielding every ad-hoc request.

Question 2

Our billing, CRM, and product usage data live in separate tools. Do we need to consolidate them into a warehouse first?

Accepted Answer

No. Connect each source separately in Integrate - Stripe-synced billing tables, a CRM export, a product analytics warehouse, a support platform's database - each gets its own DQ and AIR score the moment it's connected. Transform then joins them into a single governed table that AskEdi and Visualize both read from, without a separate data engineering project first.

Question 3

We're connecting billing and customer data - does any of it get sent to the AI model, or stored outside our own systems?

Accepted Answer

No raw data row is ever sent to an LLM provider, in any privacy mode. AskEdi reasons on schema metadata, data quality statistics, and human-validated column descriptions - never on the underlying customer or billing records themselves. Connection credentials are encrypted with PBKDF2-derived Fernet encryption before storage, so connecting Stripe or a CRM source doesn't mean exporting or duplicating that data elsewhere.

Question 4

Does AskEdi just describe what happened, or does it say what to do?

Accepted Answer

Decision Intelligence framing layers onto any response when your question asks for direction - 'where should I focus,' 'what should we do about churn.' It closes with a concrete recommended action, the evidence behind it, a scenario-based upside or risk, a confidence level, and a validation metric to check before committing resources. It never guarantees an outcome - the language is observational, not causal-certainty, unless your data contains genuine experimental results.

Question 5

Can we ask why a metric moved, not just get a dashboard showing that it moved?

Accepted Answer

Yes - that's Root Cause Analysis. Asking 'why did churn increase last quarter' runs a real regression on the trend, ranks segments by their actual computed contribution to the change, tests which other metric moved with it, and scans for anomalies, then ties all four together with a Decision & Impact Summary card. Every figure is computed server-side, never estimated by the AI.

Question 6

Can we track net revenue retention or expansion revenue without an analyst building a custom model every quarter?

Accepted Answer

Yes. Once billing and usage data are joined in Transform, Visualize keeps an NRR or expansion dashboard current on a schedule, and AskEdi answers the follow-up - 'why did NRR move,' 'which segment is driving expansion' - directly, without a new model built from scratch each reporting cycle.

Question 7

Our CRM and billing data are messy - duplicate leads, inconsistent plan names, missing fields. Does that block us from using this?

Accepted Answer

No. A messy source is graded, not rejected - a low data quality score shows up as a plain advisory warning, never a block on connecting it or asking questions. If it needs fixing, Transform's no-code operations handle common issues (duplicates, inconsistent text values, missing fields) without a script or an engineer, and DQ scores update live as cleanup happens.

Question 8

Does adding AskEdi mean replacing our existing product analytics tool or CRM reporting?

Accepted Answer

No. Edilitics connects to the sources those tools already write to (or their underlying database/warehouse) rather than replacing them - it adds a governed semantic layer and a plain-English query layer on top, so a question that spans product usage and billing together doesn't require switching between two separate tools' reporting UIs.

Question 9

How fast can a growing SaaS team actually get from signup to asking real questions?

Accepted Answer

Typically an afternoon. Connecting a data source is graded automatically for data quality on first connection, and AskEdi can answer directly from that graded source right away - a low grade is a visible warning, not a block. If data needs joining or cleanup first, that's a no-code step inside Transform, not a separate implementation engagement.

Question 10

Is this priced for a fast-growing SaaS team, or does the cost scale faster than the team does?

Accepted Answer

Team Launch starts at $89/user/month and includes free Viewer+AskEdi seats for the rest of the team from the first full seat purchased, so everyone can ask AskEdi questions and view dashboards without buying a full seat per person. Plans step up incrementally (more monthly questions, more connected sources, more seats) rather than forcing a jump straight to an enterprise contract as the team grows.

106 tools.
One question nobody can answer fast.

Leadership asks why a metric moved.
Here's where the answer actually comes from.

“Why did net revenue retention drop this quarter?”

Same question, asked in AskEdi instead

Connect what's scattered,
ask it like it's one system.

The dashboard still shows what happened.
AskEdi is what answers why.

A recommended action you can check,
not just trust.

Analysis View on every answer

Methodology Notes, in plain language

Zero raw rows sent to any LLM

No charge on a bad answer

Questions B2B SaaS teams actually ask AskEdi

Everything you need to know before you decide.

A recommended action, not just a dashboard.

106 tools.One question nobody can answer fast.

Leadership asks why a metric moved.Here's where the answer actually comes from.