INCIDENT INTELLIGENCE
AI-driven detection, classification and resolution guidance
Sphere’s Incident Intelligence aggregates signals across your infrastructure, applications, and security tools to detect, classify, and correlate incidents in real time. Your team gets root cause analysis, severity scoring, and resolution guidance from the first alert. Integrated with your existing observability and ITSM stack.
Trusted by Leading Enterprises
Incident response is failing under the weight of its own tooling
Modern IT environments generate more telemetry than any human team can correlate in real time. The result is alert fatigue, slow MTTR, and incidents that recur because root cause was never fully understood. The problem is not a lack of tools — it’s the absence of a unified intelligence layer across them.
1. Alert fatigue is hiding the signals that matter
When monitoring tools fire dozens of alerts on the same underlying event, responders waste minutes correlating manually before they can act. MITRE’s 2024 evaluations found that AI-powered correlation can reduce alert noise by up to 88% — most teams aren’t getting close.
2. MTTR is dragged down by manual investigation
Mean time to resolve in most enterprises is measured in hours, not minutes. Each hour of unresolved incident time carries direct cost: lost productivity, customer impact, contractual SLA penalties, and in security contexts, expanded blast radius.
3. Post-incident reviews don’t prevent recurrence
Without structured root cause analysis tied to historical incident patterns, the same issues recur quarter after quarter. Knowledge is locked in individual responders’ heads, not institutionalized in the response process.
Outcomes
The strongest incident response operations are moving from reactive triage to AI-informed coordination across the full response lifecycle. Sphere’s Incident Intelligence is built for this shift — with human authority over every action and AI ensuring that authority is informed by every signal, every historical pattern, and every minute of context the team would otherwise need to gather manually.
Materially reduced MTTR across SEV-1 and SEV-2 incidents
Alert noise reduction freeing responders for the events that actually matter
Root cause hypotheses generated from the first alert, not hours later
Reduction in repeat incidents through institutionalized post-incident learning
Defensible audit trail for SOC 2, ISO 27001, and customer SLA reporting
Use Cases
Mid-market SaaS operations
AI correlation across application performance monitoring, infrastructure metrics, and customer-facing error tracking. SEV-1 MTTR reduction tied directly to SLA compliance improvement and reduced customer credit exposure.
Financial services NOC and SOC
Unified incident view across infrastructure, application, and security tooling with full audit trail for regulatory reporting. Compliant with SOC 2 Type II and supportable in PCI-DSS and FFIEC environments.
E-commerce DevOps and SRE
Real-time correlation across order processing, payment, inventory, and customer experience signals. Pre-built playbooks for high-traffic events and seasonal surges.
Healthcare IT operations
HIPAA-compliant incident response across clinical and operational systems. Pattern detection on EHR, patient portal, and integration platform incidents with PHI handling controls.
Enterprise platform engineering
Unified observability across microservices architectures, CI/CD pipelines, and cloud infrastructure. Correlation of deployment events with production incidents to identify change-related failures before they cascade.
How it works: Sphere's 5-step deployment process
Discovery and observability stack audit
Sphere's solution architects spend 2 weeks mapping your monitoring, security, and ITSM platforms, your current incident workflow, and historical incident data. Deliverable: an Incident Intelligence Integration Blueprint.
Data ingestion and model training
Connect to your observability and ITSM platforms via certified integrations. Ingest 6–12 months of historical incident data. Train correlation and classification models on your environment — your services, your dependencies, your incident patterns.
UI configuration and responder UX testing
Configure the unified incident view to your responder workflow, severity definitions, and escalation policies. Three rounds of UX testing with senior responders before pilot.
Pilot deployment
30-day supervised pilot on a subset of services or one team. AI recommendations are visible but advisory. Responder feedback and override patterns reviewed weekly. Models refined before broader rollout.
Full Rollout & Continuous Learning
Production deployment across all services and response teams. Monthly model retraining on new incident data. Quarterly business review on MTTR trends and recurrence reduction.
Faster incident response is one AI win. There are 4 more — See Them All
ROI & business impact
40–60%
Materially reduced MTTR across SEV-1 and SEV-2 incidents — measured against your own baseline during pilot
88%
Alert noise reduction freeing responder hours for the events that actually warrant action
Reduced Incidents
Reduction in incident-related customer SLA credits and contractual penalty exposure
<12 mo
ROI payback period: typically under 12 months for teams running 24/7 NOC or SOC operations
Hear from
our clientsHear from our clients
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
Ben Crawford
Senior Product Manager at Enova Financial
I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.
Mark Friedgan
CEO at CreditNinja
Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.
René Pfitzner
Co-Founder at Experify
Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.
Bruce Burdick
Chief Information Officer at Integra Credit
We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.
Jemal Swoboda
CEO at Dabble
The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.
Arthur Tretyak
Founder and CEO at IntegraCredit
With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.
Lee Ebreo
VP of Engineering at Credit Ninja
These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.
Selah Ben-Haim
VP of Engineering at Prominence Advisors
Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).
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