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Fynite

Fynite Resolve | AI-Powered Operational Resolution

Resolve the Work That Gets Stuck Between Systems.

Fynite helps enterprises identify recurring operational problems, investigate the evidence, coordinate approved actions across existing systems, and verify the results.

Start with one workflow. Expand with proven, reusable solutions.

Discover Problems. Diagnose Causes. Resolve Intelligently. Verify Outcomes.

Designed to work with your existing enterprise systems—not replace them. Integration and deployment scope is verified for each environment. Fynite Resolve is a proposed product name.

Resolution Workbench

Interactive demonstration — illustrative sample data

Resolution Queue

INC-4471 · IT Incident Resolution pattern · Detected Today, 08:42 · Owner: SRE On-call

Recurring checkout API latency incident

  1. Detected
  2. Investigating
  3. Proposed
  4. Awaiting Approval
  5. Executing
  6. Verifying
  7. Resolved
Source signal
Priority-2 alert from observability, correlated with 3 open incidents
Business impact
Checkout errors during peak hours; ~40 engineer-hours per month on manual investigation
Frequency
5th occurrence in 30 days
Baseline
MTTR 6.2 h for this incident class

Affected systems: ITSM · Observability · CMDB

Evidence collected (4)
  • SignalLatency alert: p95 latency 2.8 s vs 0.6 s threshold on checkout-api
  • RecordChange record: Connection-pool setting changed 2 days before first occurrence
  • DocumentRunbook: Approved runbook RB-112: pool reset and config rollback
  • Policy checkChange policy: Production rollback requires service-owner approval

AI-assisted diagnosis · High confidence

Pattern consistent with connection-pool exhaustion after the recent configuration change. Presented as a hypothesis for engineer review.

Limitations: Telemetry sampled at 1-minute intervals; downstream database metrics not connected in this example.

Recommended intervention: Roll back connection-pool configuration using approved runbook RB-112

Alternatives considered: Scale application instances temporarily; Route to database team for investigation

Action & Verification

Approval checkpoint

Approver: Service Owner — Payments

Permission: Scoped change-execution identity, checkout-api only

Execution steps

  1. 1Create linked change record
  2. 2Execute rollback via approved runbook
  3. 3Monitor latency for 30 minutes
  4. 4Close incident with evidence

Verification criteria

p95 latency below 0.6 s for 30 minutes and no repeat alert in 7 days

A case is resolved only after these criteria are met — not when an action runs.

Every input, decision and action is written to the audit trail.

Simulation only. No demonstration action connects to or changes any enterprise system.

Product hierarchy

One Product Story.

Fynite Resolve

The customer-facing product for operational resolution, from discovery to verified outcome.

Opportunity Intelligence

The discovery capability that identifies recurring problems, efficiency gaps and value-improvement opportunities.

FyniteOS™

The underlying agent, reasoning, integration, orchestration and governance technology.

Resolution Packs

Repeatable solutions built on the same product architecture, configured per workflow.

Reactive: resolve what is stuck

Exceptions, blocked requests, recurring incidents and mismatches that already cost time — investigated with evidence and resolved under approval.

Proactive: improve what works poorly

Efficiency gaps, avoidable spend and slow cycle times found by Opportunity Intelligence before anyone files a ticket.

The Resolution Case

Every Case Follows the Same Lifecycle.

Detected → Investigating → Proposed → Awaiting Approval → Executing → Verifying → Resolved. Exceptions include insufficient evidence, rejected action, escalation, failed execution, reopened and no action justified.

  1. 01

    Discover

    Agents analyze authorized operational data, events, queues and performance signals to identify recurring problems.

  2. 02

    Diagnose

    Collect relevant evidence and investigate the operational context, with confidence and limitations stated.

  3. 03

    Resolve

    Coordinate a permitted intervention through existing systems, configured automation, AI agents and human approval where required.

  4. 04

    Verify

    Evaluate the result against defined completion criteria and business KPIs before a case is closed.

Improve: where supported, recurrence is monitored and new patterns feed back into discovery.

Opportunity Intelligence

Finds patterns across cases

Resolution Workbench

Manages each individual case

Verified Outcomes

Establishes whether actions worked

Resolution Packs

One Resolution Engine. Repeatable Solutions Across Your Business.

Packs are configurations of the same product, not separate software. Availability is confirmed per environment.

IT Operations

IT Incident Resolution

Planned — proposed pack

Recurring infrastructure incidents, escalations, and manual investigation.

Resolution journey · shared lifecycle

  1. 1. Receive incident
  2. 2. Gather context
  3. 3. Investigate
  4. 4. Evaluate remediation
  5. 5. Obtain approval where needed
  6. 6. Execute
  7. 7. Verify recovery

Input signals

  • Alerts
  • Incidents
  • Telemetry
  • Asset and configuration data

Systems involved

  • ITSM
  • Observability
  • CMDB
  • Collaboration

Pack-specific rules

  • Approved runbooks only
  • Production changes require service-owner approval
  • Recovery measured against alert thresholds

What must be configured

  • Alert sources and severities
  • Runbook library
  • Service ownership
  • Change-approval thresholds

What success looks like

  • Mean time to resolution
  • Investigation effort
  • Manual touches
  • Recurrence rate
  • Approved remediation rate

Human approvals

Remediation above the configured risk level waits for the service owner.

Verified deployment metrics will appear here once measured across independent customers. Example cases on this site are illustrative.

Repeatable by design

Built Once. Configured for the Workflow. Reused Across Teams.

IT Operations

Workflow configuration

Source systems
ITSM · Observability
Allowed action
Runbook rollback

Finance

Workflow configuration

Source systems
ERP · Approvals
Allowed action
Payment hold

Procurement

Workflow configuration

Source systems
Procurement · ERP
Allowed action
Document request

Configured per workflow

Source systemsData mappingsDiagnostic rulesAllowed actionsApproval thresholdsBusiness KPIs

Shared resolution foundation · FyniteOS™

Signal intakeContext gatheringEvidence modelReasoningPolicies and permissionsApproval orchestrationAction executionVerificationAudit history

Integration effort is not identical across environments. Repeatability depends on connector availability, customer-specific configuration, policies and data quality.

How repeatability will be measured

These measures will be published only once validated across independent deployments. No figures are shown until then.

  • Independent customer deployments
  • Average implementation effort
  • Shared vs custom components
  • Cases processed
  • Verified resolution rate
  • Human escalation rate
  • Cost per verified resolution
  • Measured operational improvement
  • Customer expansion and renewal

Start With One Problem.

Bring one recurring operational problem. We review system access, scope and success criteria, evaluate the relevant resolution pattern, and agree how the result will be measured. No enterprise-wide standardization required.