DomainTechnology and MediaFlowIssue to ResolutionCrewOperationsAnchorServiceNowEditionReady
The L1 engineer that never sleeps
“P2 on the payments API, and the SLA breaches in 40 minutes. What's wrong, and who owns it?”
L1 queues fill with the same twenty incidents every week. Engineers copy fields between screens while the SLA clock runs.
- An agent reads the incident, the CMDB, past resolutions and the runbooks
- A deterministic workflow classifies, routes and watches the SLA clock
- The fix is drafted, a person approves, the ticket is updated and the owner notified
AgentsDeterministic workflowRAGHuman approvalSigned audit
60%of L1 tickets resolved without a hand-off
2 minfrom new ticket to triaged
0SLA clocks left unwatched
DomainTechnology and MediaFlowIssue to ResolutionCrewEngineeringAnchorServiceNowEditionConfigured
Provisioning that fixes itself
“The VM build for the trading desk failed at 2 a.m. Fix it before they log in.”
A failed build becomes a ticket, the ticket waits for the morning shift, and a whole team waits for a machine.
- The failure raises a ticket, and an agent reads the logs and diagnoses the cause
- Approved runbooks re-run configuration management, verify the machine and resume the order
- Anything new is escalated, and every fix writes a root-cause report to the lake
AgentsDeterministic workflowScenariosHuman approvalSigned audit
Minutesto recover, not a morning
80%of known failures fixed without a person
Every fixwith a root-cause report
DomainEnergy and UtilitiesFlowIssue to ResolutionCrewCustomer SupportAnchorZendeskEditionReady
Every customer, every language
“Show me every call this month where a customer threatened to leave over billing.”
Customers call in their own language at all hours, and quality teams can only listen to two calls in a hundred.
- Voice agents answer on your existing lines, in the caller's language, and hand over with the full context
- Speech-to-text runs inside your perimeter, and every call is indexed by topic and promise made
- Answers jump to the exact second in the recording that proves them
VoiceAgentsSpeechRAGHuman approval
24/7answered in the customer's language
100%of calls searchable, not 2%
To the secondcitations into the audio
DomainFinancial ServicesFlowIssue to ResolutionCrewOperationsAnchorStandaloneEditionConfigured
Claims that read themselves
“Which open motor claims have photos that don't match the reported damage?”
A claim arrives as a pile: photos, a scanned form in Hindi, an email chain with six attachments. Handlers retype it before anyone can decide.
- Vision describes every photo and flags what doesn't fit the story
- OCR in 12 writing systems turns forms and notes into structured fields
- An agent triages, a handler approves, and both are signed into the record
VisionOCRAgentsHuman approvalSigned audit
Minutesto triage, not days
12writing systems read
Everydecision signed and auditable
DomainEnergy and UtilitiesFlowIssue to ResolutionCrewOperationsAnchorSAPEditionConfigured
The field engineer's copilot
“The pump at substation 14 is vibrating again. What fixed it last time?”
The fix is in a manual, a photo from 2019 and the head of a technician who has moved on. The crew on site has a phone and a deadline.
- Searches manuals, past work orders, site photos and voice notes at once
- Answers on a phone in plain language, with the page or photo that proves it
- Raises the work order in SAP once the supervisor approves
RAGVisionSpeechAgentsHuman approval
35%higher first-time fix rate
Secondsto find the last fix
Every visitfeeds the knowledge base
DomainEnergy and UtilitiesFlowIssue to ResolutionCrewOperationsAnchorStandaloneEditionConfigured
A live twin of the plant
“What happens to pressure in zone 4 if we take pump 2 out for maintenance tonight?”
Operations data sits in a dozen systems, and how the assets connect lives in people's heads. You find out what a change does after you make it.
- A digital twin models every asset and connection in your ontology, fed live by sensors and systems
- Alarms fire on limits and on learned normal behaviour, with history to look back through
- Try the change on the twin first; agents watch it and raise proposals for a person to approve
Digital twinAgentsScenariosOntologyHuman approval
What-ifon the copy before the real thing
Livestate and history of every asset
Minutesto plan an outage, not days
DomainPublic SectorFlowIssue to ResolutionCrewOperationsAnchorStandaloneEditionTailored
Eyes on the ground
“Smoke near tower 3. Where exactly, and which patrol is closest?”
Hundreds of cameras, a handful of people in a control room, and the one frame that matters arrives at 3 a.m.
- Vision models watch camera feeds and flag smoke, fire, intrusion or a fault
- Each alert is placed on the map and on a digital twin of the site
- A person confirms before anyone is sent, and the dispatch is recorded
VisionDigital twinDeterministic workflowHuman approvalSigned audit
24/7watch on every camera
Secondsfrom detection to the control room
Every alertconfirmed by a person
