Questions
Frequently asked questions
The short answers. For implementation detail, see the documentation, or book a walkthrough.
What is Celeredge?
Celeredge is an AI-native operating system for consulting firms. It runs the entire client engagement, from diagnosis through analysis and delivery, on one evidence-grounded platform with 80+ standards-aligned assessment frameworks across 9 practices built in, where every recommendation traces back to the evidence it rests on.
Who is Celeredge for?
Celeredge serves both sides of an engagement: organisations that want to run audits, compliance and maturity assessments themselves, and consulting firms, advisory practices and transformation teams that deliver structured client engagements and board-ready deliverables.
What can Celeredge do during a consulting engagement?
It diagnoses with AI stakeholder interviews, surveys, workshops and document evidence scored against your frameworks; analyses with causal-impact intelligence, a current-state data baseline and a knowledge graph; plans workstreams from ranked gaps; and delivers cited, partner-approved Intelligence Briefs and slide decks, then stores them in a firm-wide Knowledge Vault for reuse.
How does Celeredge keep recommendations defensible?
Every assessment score links to the evidence that supports it, every data claim links to the warehouse view it came from with a freshness date, and every deliverable is human-reviewed through a request-approve-publish workflow before it reaches the client.
What makes Celeredge different from generic AI tools?
Celeredge is grounded in the client's own data and the firm's own frameworks rather than generic models, and it includes causal-impact intelligence that quantifies what actually moves a KPI and simulates interventions, not just summaries. It is tenant-isolated and never trains a shared model on your data.
Is client data secure on Celeredge?
Yes. Access is tenant-isolated and enforced server-side, data is encrypted in transit, warehouse connections are read-only, and your evidence, frameworks and deliverables are never used to train a shared model. See Trust & security →
Still have questions?
Book a 30-minute walkthrough and bring a real engagement scenario.