AI Smart Assist™
Semantic Search · Gap Detection · AI-Drafted Summaries · Pattern Recognition
The intelligence layer built into every part of your quality system. Not a chatbot bolted on top. Not a separate AI tool your team has to remember to use. Kintavo AI Smart Assist™ works inside the workflows where your quality team already operates — surfacing gaps before auditors find them, drafting summaries so your team spends time reviewing rather than writing, and connecting dots across your entire record history that no manual process could catch consistently.
Search that understands what you mean
Semantic search across every controlled document, deviation, CAPA, audit finding, and training record in your system. Find what you're looking for the first time — even when you don't know exactly what it was called when someone else created it.
Gaps flagged before they become findings
AI Smart Assist™ monitors your quality records continuously for the signals that precede audit findings — deviations without CAPAs, training that lags document effective dates, risk records not reassessed after quality events. Your team sees the gap before the inspector does.
Drafts that give your team a head start
Change summaries, investigation narratives, root cause suggestions, competency questions — AI Smart Assist™ drafts from the structured data already in the record. Your team reviews, edits, and approves. The AI handles the blank page.
AI that understands quality system structure.
AI Smart Assist™ is trained to understand the structure and relationships of regulated quality data — not general business intelligence. Every action is attributable, logged, and audit-ready.
No external data sharing. No model training.
AI Smart Assist™ operates exclusively on your organization's data within the Kintavo platform. No data is shared externally or used to train models. Fully 21 CFR Part 11 compliant.
Background intelligence — not a chatbot.
AI Smart Assist™ runs continuously across your data, surfacing connections, gaps, and patterns — without ever leaving your environment.
Ingest
Indexes records, documents, and metadata across all modules.
Understand
Builds semantic graph of relationships between records.
Surface
Identifies gaps, missing linkages, and pattern anomalies.
Assist
Answers plain-language queries across your quality system.
Log
Every AI-assisted action attributable in the audit trail.
AI Smart Assist™ runs across every module.
Semantic search, gap detection, and recommendations apply to every record in Kintavo — documents, CAPAs, deviations, training, equipment, audits.
Ready to see the full platform working for your organization?
Book a personalized demo. We'll show you Kintavo configured for your regulatory environment and your specific workflows — not a generic product tour.
FAQ Questions & Answers
Q: What does AI Smart Assist™ actually do?
AI Smart Assist™ is Kintavo's embedded AI layer that operates across every module in the platform. It performs semantic search across all quality records, drafts summaries and change descriptions, flags gaps and inconsistencies between records, suggests reviewers and owners based on scope and history, and surfaces patterns in deviation, CAPA, and audit data that would otherwise require manual analysis. It is not a separate tool — it is built into the workflows where quality teams already work.
Q: How does semantic search differ from standard keyword search?
Standard keyword search returns records that contain the exact words you typed. Semantic search understands what you're looking for — so a search for "bioburden excursion" surfaces relevant deviation records even if they were written using terms like "environmental monitoring OOS" or "microbial contamination event." This means your team finds what they need the first time, without knowing the exact terminology used when a record was created — which matters particularly when records were created by different staff across different sites over time.
Q: How does AI Smart Assist™ help with document changes?
When a controlled document is revised, AI Smart Assist™ drafts a change summary from the diff between the prior and current version — capturing what changed, why it matters, and what downstream records or procedures may be affected. It also flags other documents in the system that reference the revised content, so reviewers can assess whether related SOPs, work instructions, or forms need to be updated in parallel. This turns a time-consuming manual review into a guided, AI-assisted process.
Q: What kinds of gaps does AI Smart Assist™ detect?
AI Smart Assist™ monitors your quality records for gaps and inconsistencies that create regulatory exposure — deviations without linked CAPAs when investigation findings warrant one, training records that lag behind document effective dates, equipment records with overdue calibration that are still referenced in active workflows, risk records that haven't been reassessed after related quality events, and audit findings that are approaching response deadlines without documented progress. These signals appear in the AI dashboard proactively, not after an auditor finds them.
Q: Can AI Smart Assist™ draft investigation summaries and root cause analyses?
Yes. When a deviation or CAPA investigation is in progress, AI Smart Assist™ can draft an initial investigation summary from the structured data already captured in the record — event description, affected product, equipment involved, operator, prior related events. It can also suggest contributing factors and root cause categories based on patterns in your historical deviation and CAPA data. The draft is a starting point for the investigator to review, edit, and approve — not a replacement for documented human judgment.
Q: How does AI Smart Assist™ suggest reviewers and approvers?
AI Smart Assist™ analyzes the scope, subject matter, and regulatory context of a record — a document revision, a deviation, a CAPA — and suggests reviewers and approvers based on who has reviewed similar records in the past, who holds the relevant role and site assignment, and who has the subject matter expertise indicated by their prior activity in the system. Suggestions are recommendations, not automatic assignments — the quality team retains control of all routing decisions.
Q: Does AI Smart Assist™ work across all modules or only specific ones?
AI Smart Assist™ operates across the entire Kintavo platform — Document Control, Deviation Management, CAPA, Training, Audit Management, Risk Management, Equipment, Calibration, Supplier Quality, and QC Analysis. The AI has visibility into the relationships between records across all modules, which is what allows it to surface cross-module gaps and patterns that a module-specific tool would miss entirely.
Q: Is AI Smart Assist™ trained on Kintavo customer data?
No. AI Smart Assist™ operates on your organization's data within your Kintavo environment. Customer data is never used to train shared models or made accessible to other organizations. The AI analyzes patterns and relationships within your own quality records to surface insights relevant to your system. Data handling meets the requirements of Kintavo's SOC 2 Type II certification and HIPAA compliance program.
Q: Can AI Smart Assist™ be turned off for specific workflows or users?
Yes. AI Smart Assist™ features are configurable at the organization, role, and workflow level. Administrators can enable or disable specific AI capabilities — drafting, suggestions, gap detection — by module or user role. Organizations that want AI assistance for gap detection and search but prefer human-only drafting for regulatory submissions can configure the platform accordingly. AI-generated content is always clearly identified and requires human review and approval before it becomes part of any controlled record.
Q: What does implementation look like for AI Smart Assist™?
AI Smart Assist™ is included in the Kintavo platform and activates as your quality data populates the system — there is no separate implementation track for the AI layer. As your document library, deviation records, CAPA history, and training records grow, the AI's pattern recognition and gap detection become more accurate and more useful. Your implementation lead will walk your team through the AI features as part of the standard onboarding process and help configure which capabilities are enabled for which roles.
The quality data your organization needs to run a better compliance program already exists. The problem is that no one has time to read all of it.
Thousands of deviation records. Hundreds of CAPAs. Document revision histories going back years. Training completion logs across multiple sites. Audit findings from every inspection cycle. All of it captured — and almost none of it analyzed systematically for the patterns and gaps that would tell a quality leader where the real risks are before an auditor finds them.
Kintavo AI Smart Assist™ is the intelligence layer that reads your quality system so your team doesn't have to do it manually. It surfaces the deviation records that should have triggered a CAPA but didn't. It finds the training records that went stale when a document was revised. It drafts the change summary when a critical SOP is updated so your reviewers can spend their time evaluating content rather than writing descriptions. And it searches across every record in your system with semantic understanding — so when your team needs to know whether this bioburden event has happened before, they get an answer in seconds instead of thirty minutes of manual searching.