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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.

The operational resolution gap

Your Systems Run the Business. Work Still Gets Stuck Between Them.

Exceptions, incidents and blocked requests cross applications and teams. Each system works as designed, yet the problem waits for someone to gather context, decide and act.

Problems Recur Unseen

The same exceptions and incidents return, buried in queues, transactions and event histories.

Investigation Is Manual

People collect evidence across systems before anyone can decide what to do.

Results Go Unverified

Actions are taken, but few teams confirm the original problem was actually resolved.

How Resolve works

Discover. Diagnose. Resolve. Verify.

Opportunity Intelligence is the first stage of every resolution—not a separate product.

  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.

Different operational problems. A consistent method for investigation, governed action, and verification.

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, finance and procurement cases run on the same resolution foundation. What changes is the configuration.

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.

Your systems stay

Keep Your Technology. Resolve Work Across It.

Existing systems remain authoritative. Where supported, an intervention can use a Fynite agent, existing automation, configured APIs or a human task—under scoped permissions and approvals.

Existing Systems

Systems of record remain authoritative

ERPITSMCRMFinanceCollaborationObservabilityDatabasesAI ModelsAPIs

Opportunity Intelligence

Where Fynite adds understanding

DiscoveryAnalysisPrioritizationImpact assessment

FyniteOS Execution

Where Fynite coordinates action

Reasoning agentsWorkflow orchestrationPermissionsApprovalsAuditability

Business Outcomes

What is measured

Reduced manual effortFaster resolutionLower process costsImproved complianceBetter service outcomes

Supported integrations, actions and deployment options are confirmed for each environment.

Operational results

Model the Economics of Resolved Cases.

Potential value is modeled with your assumptions. Verified business impact is recorded only from measured case data.

Potential value — modeled

Current handling effort
10,000 h / yr
Eligible case volume
14,400 / yr
Estimated net effort reduction
1,920 h / yr
Potential annual productivity value
$124,800
Modeled operating cost per eligible case
$4.17
Modeled net annual benefit
$64,800
Estimated payback
7.4 months

Verified business impact

Recorded only from measured before-and-after case data over comparable observation periods.

Assumptions: time saved = eligible cases × success rate × minutes × reduction, minus approval effort. Productivity value is not cash savings unless capacity is redeployed or costs are removed.

1. Baseline

Agree the KPI, data source and measurement period before any change.

2. Estimate

Model expected value with visible assumptions — labelled as an estimate.

3. Observe

Measure the same KPI after the intervention over a comparable period.

4. Verify

Owner reviews the difference and records a verified outcome, or not.

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

FyniteOS™ foundation

FyniteOS Powers the Reasoning, Orchestration and Execution.

The same technology is available to teams that want to build custom applications and agents—without making FyniteOS the exclusive platform for the enterprise.

Reasoning Agents

Investigate context and propose actions with evidence.

Workflow Orchestration

Coordinate steps across systems and people.

Enterprise Integrations

Supported connections, confirmed per environment.

Governance

Policies, scoped permissions, approvals and audit history.

Application Generation

Build custom operational applications when needed.

Execution Monitoring

Track each action and its result.

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.