AI Features Overview
AI runs through all of Celeredge, but it follows one rule everywhere: outputs are grounded in real evidence and cited back to the source. The AI doesn't replace the consultant's judgment — it does the retrieval, drafting, and pattern-finding, and shows its work so you can verify it.
The AI surfaces
| Feature | What it does | Where |
|---|---|---|
| AI baseline (Autopilot) | AI-generated baseline analysis of the engagement, with a pre-flight readiness check — a Diagnose method | Autopilot baseline |
| Ask the Data | Ask questions in natural language over the engagement's data; get grounded answers with sources | Data & sources |
| AI Interviewer | Conversational AI that interviews stakeholders to capture tacit knowledge as citable evidence | AI Interviewer |
| Signals | AI-detected observations from the engagement's data, each with evidence and an assignable action | Signals & Actions |
| Causal & impact | Causal-intelligence analysis runs, in the Analysis workspace (Professional + Enterprise) | Analysis |
| Financial model | Financial modeling and analysis, in the Analysis workspace (Enterprise) | Financial Model |
| Notebook | Analytical cells that produce insights carried into Deliver | Analysis |
| Assessments | Framework assessments grounded in evidence | Running Assessments |
| Framework authoring (Compile) | AI generates the evaluation prompts + retrieval queries that let an authored framework run (Professional + Enterprise) | Framework Authoring |
| Reports & decks | Generated, evidence-backed deliverables | Reporting · Deck Studio |
The common thread: grounding
Every one of these is built on the same evidence-and-citation spine described in Citations & Trust:
The Analysis workspace
The Analysis workspace offers plan-gated analytical tools over the engagement's data:
- Causal & impact — causal-intelligence runs (Professional and Enterprise).
- Financial model — financial modeling and analysis (Enterprise).
(AI baseline is a Diagnose method, not an Analysis tool, and Ask the Data — natural-language chat over the engagement's data, with grounded answers and a financial-KPI snapshot — lives under Data & sources.)
What to expect with AI jobs
Some AI work runs in the background (assessments, deck generation, causal runs). You'll see live progress and statuses rather than a frozen screen. Larger jobs take longer — start them and come back; the engagement keeps their results.
Related
- Citations & Trust — how to trust any AI output
- Autopilot baseline
- Ask the Data
- AI Interviewer
- Signals
- Framework Authoring — AI-compiled evaluation prompts