AI for IT
The Flow-Cognition Agent runs on access, data and audit logs — triaging alerts, summarising incidents, assisting access and OTP, and powering self-service — so IT keeps the platform safe, clean and governed.
AI on access, data and the audit trail
IT AI reads access logs, sessions, data objects and audit trails and acts on them — triaging alerts by severity, summarising incidents, spotting access anomalies and scoring data quality — so the team sees what matters first.
It assists access and OTP flows, answers questions from your own runbooks and knowledge base for self-service, and helps govern the AI itself. Every action is grounded, permissioned and written to the audit trail. IT keeps control; the agent does the triage and the summarising.
See the IT workspace →- ✓ Alert triage ranked by severity and likely impact
- ✓ Incident summaries drafted from the logs
- ✓ Access-anomaly detection on logins and sessions
- ✓ Access and OTP assist for secure sign-in
- ✓ Self-service answers from your runbooks & KB
- ✓ Data-quality scoring and PII detection
What IT AI gives your team
Six ways the agent turns a stream of alerts and logs into triaged, summarised, self-served work.
Alert triage
Classify and rank alerts by severity and likely impact so the team works the real ones first.
- ✓ Severity ranked
- ✓ Noise filtered
- ✓ Routed to the owner
Incident summaries
Draft a clear summary of what happened from the logs and timeline, ready for the team to review.
- ✓ From the logs
- ✓ Timeline built
- ✓ Review & share
Access-anomaly detection
Spot unusual logins, sessions and access patterns and flag them for review.
- ✓ Unusual logins
- ✓ Session patterns
- ✓ Flagged early
Access & OTP assist
Help users through secure sign-in, OTP and access requests within your policy controls.
- ✓ Guided sign-in
- ✓ OTP flows
- ✓ Within policy
Knowledge & self-service
Answer common IT questions from your own runbooks and knowledge base, deflecting routine tickets.
- ✓ From your docs
- ✓ Cites the source
- ✓ Fewer tickets
Data quality & PII
Score data health across objects and find likely sensitive fields to mask under your rules.
- ✓ Quality scoring
- ✓ PII detection
- ✓ Masking rules
The agent’s loop for IT
The same Flow-Cognition Agent, running on your platform data — it senses, decides and acts, grounded and audited.
Sense
Reads access logs, sessions, data objects and audit trails across the platform.
Decide
Triages alerts, detects access anomalies, scores data quality and flags PII.
Act
Summarises incidents, alerts on risk and enforces governance — every action in the audit trail.
Five-tier model routing · RAG on your own runbooks · field-level permissions · full audit trail. How the engine works →
Live across the platform in four steps
Connect logs & data
Point the agent at access logs, audit trails, objects and runbooks.
Set policy & rules
Define severity, masking and which models may touch which data.
Team works triaged alerts
Alerts arrive ranked, with a drafted summary, routed to the owner.
Self-service & govern
Users self-serve from the KB while you watch quality and governance.
Where IT teams put it to work
Alert & noise reduction
Rank alerts by severity so the team spends time on the ones that matter.
Incident response
Draft an incident summary and timeline from the logs to speed the write-up.
Access & identity
Assist OTP and access requests and flag unusual sign-ins for review.
IT self-service desk
Deflect routine how-to tickets with answers from your own runbooks.
Data governance
Score data quality and surface PII so the object registry stays clean.
AI governance
Control which models touch which data and keep every AI action logged.
The payoff
Less alert fatigue
Triage puts the real incidents at the top and filters the noise.
Faster incident write-ups
A drafted summary and timeline turn hours of log-reading into minutes.
Risk caught early
Unusual access is flagged before it becomes a breach.
Clean, governed data
Quality scoring and PII detection keep the platform audit-ready.
IT stays in control
The agent triages, summarises and assists; IT decides. It reads only what its permissions allow, five-tier model routing governs which models touch which data, and every AI action is written to a full audit trail — so the platform that runs the AI is itself governed and logged.
AI governance & guardrails →- ✓ Human-in-the-loop: the team acts on triaged, summarised alerts
- ✓ Five-tier model routing controls which models see which data
- ✓ Self-service answers grounded in your runbooks via RAG
- ✓ Field-level permissions and PII masking on sensitive data
- ✓ Full audit trail, data resident in India, ISO 27001 & DPDP
The capabilities behind IT AI
The agent draws on these AI capabilities from the Intelligence Layer.
Questions, answered
It triages alerts and drafts incident summaries for the team to review and act on. Remediation stays with IT, within your approval and workflow controls.
From your own runbooks and knowledge base through governed RAG, with the source cited — so users get your sanctioned answer, not a guess from the open web.
It guides users through secure sign-in, OTP and access requests within your policy controls, and flags unusual access patterns for a human to review.
Yes. Five-tier model routing and field-level permissions govern which models may access which data, and every AI action is recorded in the audit trail.
Every AI action is logged under field-level permissions, data is resident in India, and the platform carries ISO 27001 certification and DPDP-aligned controls.
Put AI to work on governance
Start free, or get a guided walkthrough — alert triage, summaries and self-service across the platform.