AI-enabled delivery

Practical, governed AI — available today.

Real AI solutions across protocol authoring, data cleaning, document generation, biostatistics, and analytics — delivered by AyurDatta and vetted partners, every one with a named human sign-off.

AI drafts. Experts decide. The record proves it.

Solutions

Six workflows, one standard of oversight

Available today — some delivered directly, some through vetted partners under AyurDatta's governance.

Available

AI-assisted protocol authoring

Structured digital protocols to ICH M11 / USDM — consistency checks and reuse downstream, not a one-off document.

Human sign-off: Physician and statistician review

AyurDatta-ledTechnology partner
Available

AI-assisted data cleaning & medical data review

Anomaly detection, query drafting, and reconciliation — surfaced for a data manager and medical monitor to act on, not auto-resolved.

Human sign-off: Data manager and medical monitor

PartnerAyurDatta governance
Available

Clinical & safety document generation

SAE narratives, DSUR/PSUR sections, CSR sections, and briefing documents — drafted fast, signed by a named physician or medical writer.

Human sign-off: Named physician or medical writer

WorkbenchWriting partner
Available

Biostatistics & programming automation

SAP support, SDTM/ADaM programming, and tables/listings/figures — generated fast, QC'd by a biostatistician before anything ships.

Human sign-off: Biostatistician QC

Biometrics partner
In progress

Safety signal analytics

Disproportionality and trend analysis on the Medical Oversight Workbench — every signal adjudicated by a named physician.

Human sign-off: Physician adjudication

Workbench
See the Workbench →
Available

Feasibility & enrollment analytics

Site-selection support and predictive enrollment modeling — reviewed by your clinical operations lead before a site commitment is made.

Human sign-off: Clinical operations lead

Partner
How a governed pilot works

One workflow, one measured outcome, then scale

1 · Scope

One bounded workflow

A single use case, a single team, a defined success measure — before anything scales.

2 · Run & measure

Validation evidence, as you go

The pilot generates its own validation evidence — mapped to your quality framework, not assembled retroactively.

3 · Scale

Extend once proven

Only once the measured outcome and the sign-off record both hold up does the workflow extend to the next team or modality.

Human sign-off by design

The same architectural invariant, every time.

No AI output becomes a record of decision without a qualified human's review and signature — the bypass is engineered out, not policed after the fact. It's the same invariant that runs the Medical Oversight Workbench, applied to every solution on this page.

See the Workbench architecture →
Start with one workflow

Scope a governed pilot.

Bring us the workflow that's eating your team's time — we'll tell you whether AI can carry it, and who signs off when it does.

Book a call