The last mile of operations

The next team
is not bigger.
It is autonomous.

Qorxenna automates investigative legwork across operational signals, business context, domain knowledge, and human input—then prepares evidence-backed insight for human review.

Explore a use case →▸ See how it investigates
Start with one use case Context across systems Judgment stays human-owned
qorxenna · console · investigation
// active case · shared contextLIVE
+0.0s
signal received
Unexpected operational behaviour detected across connected systems.
OPEN
+1.4s
context retrieved
Current state, recent changes, and relevant business activity aligned.
CITED
+3.1s
explanations tested
Change-related and demand-related explanations remain plausible.
CHECK
+5.8s
brief prepared
Evidence, uncertainty, and suggested review focus assembled.
REVIEW
Sample · agentic investigationReady for human review

A representative agentic investigation flow.

Start
One use case
Begin with the operational problem and context immediately around it.
Context
Across systems
Use relevant operational, business, knowledge, and human context.
Reasoning
Evidence-backed
Findings remain connected to sources, relationships, and uncertainty.
Judgment
Human-owned
Qorxenna prepares the investigation. Accountable people decide.
Anatomy of an agentic investigation

One signal. The right specialists.
Shared evidence.

Qorxenna assembles an investigation around the context available. It retrieves relevant information, activates specialist capabilities, challenges conflicting explanations, and prepares cited findings for human review.

01 · Context
Bring the evidence together.

Qorxenna connects live systems, documents, events, history, and human knowledge. RAG, tools, and A2A make the right context available when the investigation needs it.

context · connected
Available evidencesource-agnostic
Live systems
telemetry · events · state
Knowledge
documents · procedures · history
Operations
changes · calendars · records
People
questions · expertise · review
Context access
RAG
knowledge retrieval
TOOLS
live system access
A2A
agent collaboration
02 · Investigation
Assemble the right specialists.

Reusable capabilities plan, retrieve, correlate, investigate, challenge, and verify. When the case is incomplete, the pipeline asks for more context and reassesses.

agentic investigation · in progressspecialists assembled dynamically
Investigation workflowshared evidence
PLANDefine the investigation from the signal and context available.READY
GATHERRetrieve relevant evidence from connected sources.ACTIVE
CORRELATEConnect events, entities, history, and time.ACTIVE
INVESTIGATETest the leading explanations against the evidence.ACTIVE
CHALLENGEFind contradictions, gaps, and credible alternatives.CHECK
VERIFYConfirm each finding is supported and cited.NEXT
↺
Evidence incomplete
Request more context, then reassess the case.
03 · Review
Prepare insight, not authority.

Findings arrive with citations, relationships, contradictions, and uncertainty visible. Qorxenna prepares the case; the responsible human makes the decision.

findings · ready for review
Investigation briefGROUNDED
Leading explanation

A recent operational change aligns with the first observed degradation.

Supporting evidence
4 cited sources · timeline aligned
Contradicting evidence
1 alternative remains open
Suggested focus
Review the change window and affected assets.
EvidenceinspectableUncertaintyvisibleDecisionhuman-owned
Ready for human reviewOpen brief →
Agentic intelligence · specialised outputs

Shared intelligence. Specialised outputs.

Fabric and Pulse are current Qorxenna systems. Extensions apply the same agentic intelligence, evidence model, and human-review workflow to additional operational domains, context, tools, and responsibilities.

Shared intelligence · context · evidence · human review
FABRICAvailable

Fabric.

From access edge to core, peering, and cloud—wherever connectivity flows.

When a device degrades, an interface flaps, or an entire site goes dark, Fabric gathers the surrounding context, correlates recent changes, and prepares cited findings for your team to review.

  • ×Link instability
  • ×Site outages
  • ×Peering & transit
  • ×Capacity & saturation
  • ×Routing & topology
  • ×Post-change regressions
// shared intelligence / fabricfindings · sample
01:14access-site-ainstability aligns across countersCITED
02:51core-site-arecent change may be relevantREVIEW
04:33edge-site-ahardware explanation remains openOPEN
Explore Fabric→Network · always on
PULSEAvailable

Pulse.

For applications and the engineers who answer for their behaviour.

Application anomalies, host pressure, dependency behaviour, and deployment regressions. Pulse assembles the relevant investigation capabilities and prepares one coherent, evidence-backed view for review.

  • ×Latency & error rates
  • ×Trace anomalies
  • ×Host & resource pressure
  • ×Deploy regressions
  • ×Data-layer pathologies
  • ×Service dependency behaviour
// shared intelligence / pulsefindings · sample
05:02app-checkoutlatency aligns with query changeCITED
05:41db-primaryresource pressure follows deployREVIEW
06:14host-cluster-3memory signal appears containedCONTEXT
Explore Pulse→Applications · always on
EXTENSIONSDesigned to extend

Extensions.

For operational contexts that do not fit a fixed product boundary.

Connect additional domain systems, business activity, operational knowledge, and specialist workflows to produce outputs shaped around the responsibility at hand.

  • ×OT & domain systems
  • ×Business calendars
  • ×Maintenance records
  • ×Procedures & tickets
  • ×Spreadsheets & documents
  • ×Human expertise
// shared intelligence / extensionsfindings · sample
08:10business-calendarcampaign activity raises expected demandCONTEXT
08:12maintenance-recordplanned intervention overlaps eventCITED
08:14domain-systemoperational state added to the caseCONNECTED
Explore Extensions→Open-ended · configurable
Who it’s for

For the people accountable when operations become unclear.

For operational leaders, frontline teams, and domain specialists who need relevant context before spending scarce human attention.

Operational leadership·Engineers·Analysts·Control rooms·Domain experts
Continuous operations

Operations don’t pause between shifts. Neither does the investigation.

Signals continue arriving while teams are occupied, offline, or changing shifts. Qorxenna investigates continuously, connects each event with current context, and prepares a reviewable operational picture for the people stepping in.

Continuous investigationActive
01 · Signals arriveLive
18:42SIGNAL
Threshold breached
19:03IMPACT
Customer impact rises
19:18CONTEXT
Planned campaign begins
02 · InvestigateParallel
ARetrieve relevant historyACTIVE
BTest competing explanationsACTIVE
CVerify impact and citationsCHECK
↺New context can update an open case
03 · Context updatesMeaning
Business activity
Major campaign is live. Demand increase is expected.
reassess
Operational meaning
The spike is explainable. Customer impact and SLA risk still require review.
04 · Human reviewPrepared
Cited findings
5 sources · inspectable
Open question
Can current capacity hold the event?
Priority
Customer impact · review now
Ready for the next human review
Continuous context · multiple investigations · one reviewable pictureHuman judgment remains in control

Your next shift starts with understanding — not a backlog of unexplained alerts.

Sits on top

We don’t replace your stack. We close its last mile.

Connect one system or a hundred. Qorxenna retrieves context across your existing operational tools, business systems, and domain knowledge—then brings the relevant evidence together for human review.

  • ×Read-only by design. Approved connections retrieve context without placing Qorxenna in the configuration path.
  • ×One system or a hundred. Connect the sources your environment already depends on without consolidating them first.
  • ×Context beyond monitoring. Business activity, domain knowledge, and human input can inform the same investigation.
  • ×Human judgment stays central. Findings are prepared for accountable review, not autonomous authority.
FIG. 01 · ARCHITECTURE

Context to understanding

Your existing stack · one source or manyConnected context
Operational
telemetry · alerts · events
Business
impact · SLAs · calendars
Knowledge
procedures · history · records
Human
questions · expertise · review
Qorxenna · shared intelligenceCore
01
Select
relevant context
02
Plan
assemble capabilities
03
Correlate
evidence and memory
04
Verify
challenge findings
Relevant context inGrounded understanding out
Specialised outputsShared evidence model
FABRIC
Connectivity and infrastructure
ChangeMeaningEvidenceUncertainty
PULSE
Applications and workloads
ChangeMeaningEvidenceUncertainty
EXTENSIONS
Additional operational domains
ChangeMeaningEvidenceUncertainty
Investigation brief · human review
Human-owned
FindingWhat changed and why it mattersEvidenceSources and relationships to inspectUncertaintyGaps and competing explanations
Operating principles

Agentic where it helps. Human where it matters.

Qorxenna can automate the investigative legwork while preserving clear boundaries around access, evidence, and accountable human judgment.

Investigative capabilityPlan · Retrieve · Correlate · Challenge · Verify
01

Read-only context access

Qorxenna retrieves authorised information without entering the configuration path.

Access is explicit and scoped
02

Traceable investigations

Findings carry supporting sources, relevant relationships, and visible uncertainty.

Reasoning remains reviewable
03

Human authority

Qorxenna prepares insight. Accountable people decide what happens next.

Judgment stays human-owned
Practical questions

What buyers ask before they buy.

Start with the problem in front of you. Qorxenna can expand across sources and domains without requiring the entire environment to change first.

01Does Qorxenna replace the tools we already use?

No. Connect one system or a hundred. Qorxenna investigates across the context they already produce and closes the last mile between detection and human understanding.

02What kinds of context can it use?

Operational signals, business activity, domain knowledge, historical records, and human input. Qorxenna selects what is relevant to the investigation instead of treating every available signal as equally useful.

03How is this different from AIOps inside a monitoring tool?

Monitoring features usually work within one product and its available context. Qorxenna can plan, retrieve, correlate, challenge, and verify across tools, knowledge, business context, and operational domains.

04Does it require software on our devices or hosts?

Qorxenna is designed to work through your existing systems and authorised integrations, without placing software in the configuration path of production devices or hosts.

05What happens when evidence is incomplete or a finding is wrong?

Findings expose their sources, uncertainty, and competing explanations. People can inspect the evidence and reasoning before deciding what to do; Qorxenna does not own the final decision.

06How do we start without connecting everything?

Begin with one operational problem and the context around it. Add sources, knowledge, and specialised outputs as the use case becomes clearer and trust develops.

Bring your own context. Add a second line of reasoning.

Start with one real use case and the context around it. Qorxenna investigates what the available evidence means and prepares a reviewable brief for your team.

Explore a use case →

or write to us: hello [at] qorxenna [dot] com