Checklist intelligence
Convert ISO 27001, UIDAI, RBI, SEBI, IRDAI, and custom checklists into control-wise expected evidence.
AI audit evidence intelligence
Use AI to know your audit gaps before the auditor asks.
EvidPrism uses AI-assisted evidence review to turn scattered policies, screenshots, reports, and logs into control-wise readiness, cited gaps, and human-reviewed observations.
AI maps evidence to controls
AI flags weak or missing proof
Auditors approve every conclusion
AI, built for audit evidence
Not a generic chatbot. An AI reviewer for controls, evidence, gaps, and workpapers.
EvidPrism reads the audit intent, understands the checklist, searches uploaded artefacts, drafts evidence-backed conclusions, and keeps the reviewer in control.
Evidence sufficiency
Match uploaded documents to controls and classify posture as ready, weak, missing, or needs review.
Observation drafting
Generate auditor-style observations with citations, then let reviewers edit, accept, or override.
Anonymized model routing
Use external AI on masked packets for the SaaS pilot, with private or local model options where required.
Built for regulated audit work
One product for readiness teams and audit firms.
Organizations use EvidPrism before the audit to understand what is ready, weak, or missing. Audit firms use it to accelerate evidence review, draft observations, and keep a defensible workpaper trail.
Organizations
Create projects, upload checklist and evidence, invite users, and track readiness by control.
Audit firms
Manage multiple clients, review cited evidence, tune observations, and export audit packs.
Regulated sectors
Designed around Indian regulatory work first, with a structure that can expand globally.
Internal audit
Run repeatable pre-audit checks and evidence readiness reviews throughout the year.
From documents to decision
Bulk evidence first. Control-wise review when the gap matters.
Pre-populated audit programs
Start with common programs such as ISO 27001, UIDAI, RBI, SEBI, IRDAI, or upload a client checklist.
AI evidence-to-control mapping
Retrieve likely artifacts, cite snippets, and use AI to mark readiness as ready, weak, or missing.
AI-assisted observations
Draft findings from cited evidence, then let the auditor accept, override, or refine.
Privacy posture
Raw evidence stays in the vault. External model use is anonymized by design.
EvidPrism is being built for sensitive audit data. The SaaS pilot keeps evidence inside the application boundary and prepares masked, citation-backed packets for approved external model use. Private and laptop deployments can use local LLMs where a client requires that posture.
Tenant isolation
Separate companies, projects, users, roles, and license controls.
Anonymized LLM packets
Email, IDs, account numbers, secrets, hostnames, and custom names are masked before routing.
Citation grounding
Every conclusion is tied to evidence snippets, hashes, and reviewer decisions.
Deployment choice
SaaS, private server, enterprise server, or auditor laptop from one codebase.
Deployment model
Start lean. Scale when clients arrive.
SaaS pilot
Hosted in India on a lean server with PostgreSQL, HTTPS, backups, and anonymized LLM workflow.
Private workspace
Run in the client or audit firm's cloud account for sensitive regulated programs.
Local mode
Install on an auditor laptop or enterprise server with Ollama-backed local model support.
Now opening serious pilots