SIGNALS. EVIDENCE. ACTION. RECOVERY.
Detect, investigate and resolve IT issues with AI agents that work across your service desk, observability tools and infrastructure—with governed execution and human control.
Connect to your existing systems after technical validation—or explore the synthetic Fynite ITSM workspace now.
CHECKOUT SERVICE · SYNTHETIC DATA
Error rate
12.4%
DB connections
100 / 100
Configuration changed at 09:38. Checkout depends on the database pool.
Awaiting sample event
P1 · Checkout HTTP 5xx errors after deployment CHG-208.
Fynite works with organizations across enterprise technology, operations, finance, healthcare, commerce, and business services.
Beyond the ticket
Alerts, traces, tickets, changes and asset records describe the same service from different angles. A response needs evidence and accountable action—not another disconnected summary.
Traditional ITSM
Alert → Ticket → Manual handoffs → Investigation → Escalation → Resolution
Fynite AI ServiceOps
Alert → Correlated evidence → Governed action → Verification → Prevention
The operational lifecycle
Move from a signal to a scoped response. Every stage has evidence, an owner and a defined outcome.
Observe
Metrics, logs, traces, change history and service dependencies. Observations never grant write access.
Inspect in PlaygroundINC-1042 · SAMPLE OBSERVE
LOG-042 / Application logs
Connection acquisition timeout on checkout-api; no payment payloads included.
MET-019 / Sample telemetry
Active DB connections 100/100; error rate 12.4%, p95 latency 2,400 ms.
CHG-208 / Configuration history
Pool maximum changed from 200 to 100 at 09:38; prior healthy setting recorded.
Your AI IT workforce
Explore deterministic sample workflows for L1 assistance, L2 investigation and L3 governed remediation. Enterprise availability requires validation.
Explore the platform
INTERACTIVE DEMO · SYNTHETIC DATA
Correlate events, investigate evidence and verify a scoped response.
INTERACTIVE DEMO · SYNTHETIC DATA
Connect logs, metrics, traces and changes into service context.
INTERACTIVE DEMO · SYNTHETIC DATA
Support identity recovery and evidence-led endpoint diagnosis.
INTERACTIVE DEMO · SYNTHETIC DATA
Inspect approved runbooks, execution identities and recovery checks.
INTERACTIVE DEMO · SYNTHETIC DATA
Explore scripted support calls and accountable service outcomes.
INTERACTIVE DEMO · SYNTHETIC DATA
Assess dependencies, operational windows, tests and rollback.
INTERACTIVE DEMO · SYNTHETIC DATA
Investigate spend variance and evaluate right-sizing assumptions.
INTERACTIVE DEMO · SYNTHETIC DATA
Compare source records and reconcile supported matches.
INTERACTIVE DEMO · SYNTHETIC DATA
Review SLA evidence and service dependency risk.
INTERACTIVE DEMO · SYNTHETIC DATA
Assess constrained access requests and policy exceptions.
INTERACTIVE DEMO · SYNTHETIC DATA
Customize ITSM investigation, approval and verification steps.
INTERACTIVE DEMO · SYNTHETIC DATA
Inspect consistent sample operational metrics and reports.
Watch an incident resolve
Inspect every stage of INC-1042. Receive its signal, investigate, approve the scoped runbook and test the recovery.
INC-1042 · L3 and infrastructure remediation
P1 · Checkout HTTP 5xx errors after deployment CHG-208.
Service context
Checkout service degraded. Payments cannot be assumed successful.
Evidence-backed recommendation
Inspect Sample telemetry, Application logs, Configuration history, Demo ITSM before deciding on restore approved pool maximum 200; perform a controlled checkout service update.
Sample confidence
—
Configured risk
75 / 100
Logs, pool metrics, traces and a preceding config change agree. Other causes remain possible until recovery is verified. Deterministic sample assessment, not a calibrated model probability.
Restore approved pool maximum 200; perform a controlled checkout service update.
checkout-api only · pool.maximum · approved prior value 200 · no database or payment mutations
Awaiting sample event
P1 · Checkout HTTP 5xx errors after deployment CHG-208.
Each action updates deterministic demo state only.
ITSM use-case library
234 IT-specific use cases across 14 domains. Each opens a scoped category simulation, not an implied production deployment.
234 use cases · shared category simulations
L1 IT service desk automation
Low risk · Standard · Run Interactive Demo
Explore Password reset assistanceL1 IT service desk automation
Low risk · Standard · Run Interactive Demo
Explore Account lockout resolutionL1 IT service desk automation
Low risk · Standard · Run Interactive Demo
Explore MFA recovery and enrollmentL1 IT service desk automation
Medium risk · Standard · Run Interactive Demo
Explore VPN access troubleshootingL1 IT service desk automation
Low risk · Standard · Review Evidence Requirements
Explore Corporate Wi-Fi troubleshootingL1 IT service desk automation
Low risk · Standard · Review Evidence Requirements
Explore Email delivery troubleshootingVoice help desk
Explore caller intent, identity verification, knowledge retrieval, sample tickets and human escalation in a scripted conversation.
Interactive script only. No real phone call, microphone input or recording.
Start Voice DemoVOICE-1701 · AI voice IT help desk
Sample employee calls about VPN, account access or an application outage.
Service context
Caller needs a recorded and appropriately routed support request.
Support ticket DEMO-VOICE-1701
Intent: VPN access · Not created
Caller verification: Pending · transcript steps 0/4
Scripted conversation · no real call or recording
Evidence-backed recommendation
Inspect Scripted sample transcript, Approved sample knowledge, Demo ITSM before deciding on create a sample support ticket and complete permitted guided assistance.
Sample confidence
—
Configured risk
20 / 100
CALL-17: Caller intent is selected by the visitor; no call or recording is made. KB-17: VPN profile and account recovery guidance; production outage escalates. POL-VOICE: Verify caller before account actions; outages route to a human incident owner. Deterministic sample assessment, not a calibrated model probability.
Create a sample support ticket and complete permitted guided assistance.
Demo ticket and scripted guidance only; no real telephone, recording or identity changes
Awaiting sample event
Sample employee calls about VPN, account access or an application outage.
Approval blocked: Verify the caller and complete the script; application outages require human escalation.
Enterprise connectivity
Evaluate the exact interfaces, permissions and scope. Directory entries are not certified connectors; the public playground uses demo-only adapters.
REQUIRES TECHNICAL VALIDATION
Evaluate this system’s role in incident context, investigation and permitted record or operational actions.
Investigate checkout errors after a configuration deployment, restore a scoped setting and verify dependent services.
Investigate checkout errors after a configuration deployment, restore a scoped setting and verify dependent services.
Investigate checkout errors after a configuration deployment, restore a scoped setting and verify dependent services.
Correlate related alerts, assign owners and create a coordinated response record.
Playground adapters: Demo Only. No verified connector claim is made by this directory.
Governance by design
Least privilege, policy checks, explicit approval, scoped actions and outcome verification. Rejected actions do not execute.
Only the approved target, identity and allowlisted operation.
Review, reject or request more evidence before a consequential action.
Inspect execution records and every required recovery check.
Operational value
An illustrative business case separates handling-effort capacity from potential cloud optimization. Neither is a verified customer saving.
Illustrative annual model
Handling hours = monthly tickets × 12 × eligible fraction × minutes ÷ 60 × expected reduction. Productivity = hours × loaded hourly cost. Cloud opportunity = annual spend × waste fraction. MTTR = baseline × (1 − improvement). Models are independent; avoid double counting. No operating or implementation costs deducted. Capacity is not cash savings unless costs are removed or effort redeployed.
FYNITE AI SERVICEOPS
