Application Support & Managed Services

Engineering-led application management, proactive performance monitoring, and continuous improvement — the ongoing partnership that keeps your production systems reliable, secure, and evolving.

A support contract is not the same as a managed services partnership. One fixes what breaks.
The other prevents it from breaking in the first place.

One fixes what breaks. The other prevents it from breaking.

Traditional Application Support:

CaliberFocus Managed Services:

Proactive monitoring, engineering-led management, and AI application operations — all under one engagement.

Proactive Application Monitoring & Operations

Know about problems before your users do

Production applications degrade in ways that are often invisible until they become incidents — slow queries accumulating, memory leaks growing, third-party dependencies drifting. We deploy observability infrastructure and monitor your application 24/7 with alerting that fires on anomalies, not just outages — so issues are addressed before they affect users or SLAs.

24/7 application health monitoring — uptime, response time, error rate, and business transaction monitoring across all production environments
Performance trend analysis — proactive identification of degrading database queries, memory growth, and throughput bottlenecks before they become incidents
Dependency monitoring — third-party API availability, database connection pool health, and external service latency tracked continuously
Alerting and on-call management — PagerDuty, Opsgenie, and Slack-integrated alerting with defined escalation paths and response runbooks
Monthly operations reports — application health summary, incident analysis, capacity utilisation, and improvement recommendations delivered monthly
SLA dashboard — real-time availability, response time percentiles, and error budget tracking visible to your team at all times

Engineering-Led Application Management

The team that knows your system, keeping it healthy

Application support fails when it is handed to people who did not build the system. We provide ongoing engineering support staffed by engineers who understand your architecture, your business logic, and your edge cases — delivering faster resolution, fewer regressions, and improvement rather than maintenance stasis.

Bug triage and resolution — severity-classified defect management with root cause analysis, fix validation, and regression test coverage added for every resolved issue
Security patching and vulnerability management — scheduled dependency updates, CVE triage, and emergency patching with zero-downtime deployment strategies
Performance optimisation — database query tuning, caching strategy improvements, API response optimisation, and infrastructure rightsizing on an ongoing basis
Minor feature enhancements — small capability additions, UI improvements, and workflow adjustments within the managed services engagement scope
Technical debt management — structured reduction of code quality issues, dependency updates, and architectural improvements on a defined quarterly roadmap
Incident management and post-mortems — structured incident response, root cause analysis, and blameless post-mortems that prevent recurrence

AI Application Operations

Keeping AI-powered systems accurate, safe, and cost-efficient in production

AI-powered applications have operational requirements that traditional application support was not designed for — LLM output quality degradation, model drift, hallucination rate changes, and inference cost spirals. We provide managed operations specifically for AI-embedded applications, monitoring AI system health alongside application health.

LLM output quality monitoring — automated accuracy, groundedness, and safety scoring with alerts when output quality degrades below defined thresholds
Prompt regression management — test suite execution on every model or prompt update to catch quality regressions before they reach production users
AI inference cost monitoring — per-call cost tracking, token usage trending, budget alerts, and model routing optimisation to control inference spend
Hallucination and guardrail monitoring — output validation pipeline health, guardrail trigger rates, and escalation pattern analysis
Model drift alerting — performance metric tracking for embedded ML models with automated notifications when prediction accuracy degrades
AI incident response — structured response playbooks for AI-specific failure modes: model unavailability, quality drops, safety violations, and cost spikes

Essential to Enterprise — all tiers staffed by engineers, not ticket processors.

Essential Support

99.5% uptime · 8hr response

Applications requiring reliable monitoring and break-fix support

24/7 uptime and error rate monitoring

Bug triage and resolution (business hours)

Monthly security patching and dependency updates

Monthly health and performance report

Incident response with root cause analysis

Up to 8 hours engineering time per month

Professional Managed

99.9% uptime · 2hr response

Business-critical applications requiring proactive engineering

24/7 monitoring with proactive anomaly detection

Priority bug resolution (4hr SLA for P1 issues)

Continuous security and dependency management

Performance optimisation and technical debt reduction

Minor feature enhancements within scope

Up to 40 hours engineering time per month

Enterprise Managed

99.99% uptime · 30min response

Mission-critical and AI-powered applications requiring full management

Full-stack application and AI system operations

Dedicated engineering team with system context

Unlimited incident response and resolution

Continuous improvement roadmap and quarterly planning

AI output quality monitoring and prompt management

Custom SLA and reporting tailored to your requirements

Clear commitments. Measured outcomes. Monthly reporting on every metric.

Priority	Definition	Essential	Professional	Enterprise
P0 — Critical	Application down, data loss risk, or security breach	4 hours	1 hour	30 minutes
P1 — High	Major feature unavailable or severe performance degradation	8 hours	2 hour	1 hour
P2 — Medium	Feature degraded but workaround available	2 business days	4 hours	2 hours
P3 — Low	Minor issue or enhancement request	5 business days days	2 business days	Next sprint

Healthcare & Clinical Applications

HIPAA-compliant application operations — 24/7 monitoring with PHI-aware alerting, audit logging, and BAA-compliant incident response for clinical and billing applications

RCM platform managed operations — ImpactRCM.AI system health, coding agent accuracy monitoring, denial workflow performance, and AR system reliability management

Clinical AI output monitoring — LLM documentation quality, coding suggestion accuracy, and clinical AI safety threshold monitoring with immediate escalation on degradation

EHR integration health management — FHIR API uptime, message processing error rates, and payer connectivity monitoring across the integration estate

SaaS & Enterprise Applications

Multi-tenant SaaS operations — per-tenant uptime monitoring, performance isolation, and incident triage across customer environments with transparent status reporting

Enterprise application fleet management — monitoring, patching, and performance optimisation across a portfolio of internal and customer-facing applications

AI feature operations — LLM quality monitoring, cost management, and continuous improvement for SaaS products with embedded AI capabilities

Post-migration steady state — managed operations for newly migrated applications during the stabilisation period and beyond

Financial Services Applications

Financial application SLA management — uptime, latency, and transaction processing rate monitoring meeting regulatory and customer SLA commitments

Compliance-auditable change management — documented, approved, and logged application changes meeting FFIEC, PCI-DSS, and SOX audit trail requirements

Trading and risk application operations — performance-sensitive monitoring and sub-hour incident response for latency-critical financial applications

Security posture management — continuous vulnerability assessment, patch management, and penetration test remediation for regulated financial applications

99.9%+

Application uptime under managed operations

<1hr

Mean time to restore for P0/P1 incidents

60%

Reduction in incident volume within 6 months

40%

Reduction in infrastructure costs via continuous optimisation

ML is most powerful when connected to the full pipeline

Custom Application Development

Build the application — then transition seamlessly to managed operations at launch

AI-Powered Application Development

AI application engineering — managed post-launch with AI-specific operational coverage.

MLOps & LLMOps

AI model and LLM operations for applications with deep AI system requirements

DevOps, CI/CD & Cloud Infrastructure

The delivery pipeline and cloud infrastructure managed services monitors and maintains.

Tell us what you are running, what matters, and what keeps you up at night. We will match you to the right tier.

Industries we serve

We collaborate with global technology leaders to deliver secure and scalable growth-driven digital solutions. Our partnerships strengthen our ability to innovate, accelerate transformation, and drive measurable business impact for our clients.

Case Studies

We used generative AI to automate documentation, compliance checks, and medical coding. The solution improves accuracy, cuts manual effort, speeds turnaround, and ensures regulatory compliance in clinical use.

0 +

200 +

When patient data was summarized clearly, documentation felt less burdensome. With CaliberFocus, clinician satisfaction rose from 58% to 81% without changing how teams work.

Dr. Rebecca HallCMIO, Healthcare

Better documentation and fewer audit issues delivered real savings. With CaliberFocus, billing compliance improved to 98.6%, reducing risk while easing the burden on clinicians.

Sophia WilliamsCTO, Clinical care

We gained clear visibility into student performance. Engagement rose, scores improved, and administrative effort dropped by nearly 30 percent, giving educators time to teach.

Andrew MillerDirector, Education Technology

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radiologists-team-analyze-x-rays-discuss-treatment-options-medical-office

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Clinical Workflow in Healthcare: Eliminating the 7 Most Common Bottlenecks

Clinical workflow in healthcare is the backbone of every patient interaction inside a hospital. It determines how fast a patient moves from intake to diagnosis, how accurately information transfers between care teams, how completely a record is documented before it reaches…

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AI patient intake is the use of custom automation, intelligence, and workflow design to collect, validate, and route patient information accurately across the intake patient journey, reducing operational friction, improving compliance, and accelerating access to care at scale making it one…

CaliberFocus delivers AI and machine learning development services that combine deep machine learning and deep learning expertise with production-grade MLOps. As a trusted machine learning service provider, we help organizations move models from experimentation to scalable production, delivering measurable business impact, accuracy, and long-term value.

Application support & managed services

Applications That Stay Healthy — Long After Launch Day

The Difference that Matters

Support vs managed services

Traditional Application Support:

CaliberFocus Managed Services:

What we deliver?

Three managed services capabilities

Proactive Application Monitoring & Operations

Engineering-Led Application Management

AI Application Operations

Service Tiers

Choose the level that fits your application

Essential Support

99.5% uptime · 8hr response

24/7 uptime and error rate monitoring

Bug triage and resolution (business hours)

Monthly security patching and dependency updates

Monthly health and performance report

Incident response with root cause analysis

Up to 8 hours engineering time per month

Professional Managed

99.9% uptime · 2hr response

24/7 monitoring with proactive anomaly detection

Priority bug resolution (4hr SLA for P1 issues)

Continuous security and dependency management

Performance optimisation and technical debt reduction

Minor feature enhancements within scope

Up to 40 hours engineering time per month

Enterprise Managed

99.99% uptime · 30min response

Full-stack application and AI system operations

Dedicated engineering team with system context

Unlimited incident response and resolution

Continuous improvement roadmap and quarterly planning

AI output quality monitoring and prompt management

Custom SLA and reporting tailored to your requirements

SLA commitments

Response time SLAs by priority and tier

Where this works?

Managed application operations — by industry

Healthcare & Clinical Applications

HIPAA-compliant application operations — 24/7 monitoring with PHI-aware alerting, audit logging, and BAA-compliant incident response for clinical and billing applications

RCM platform managed operations — ImpactRCM.AI system health, coding agent accuracy monitoring, denial workflow performance, and AR system reliability management

Clinical AI output monitoring — LLM documentation quality, coding suggestion accuracy, and clinical AI safety threshold monitoring with immediate escalation on degradation

EHR integration health management — FHIR API uptime, message processing error rates, and payer connectivity monitoring across the integration estate

SaaS & Enterprise Applications

Multi-tenant SaaS operations — per-tenant uptime monitoring, performance isolation, and incident triage across customer environments with transparent status reporting

Enterprise application fleet management — monitoring, patching, and performance optimisation across a portfolio of internal and customer-facing applications

AI feature operations — LLM quality monitoring, cost management, and continuous improvement for SaaS products with embedded AI capabilities

Post-migration steady state — managed operations for newly migrated applications during the stabilisation period and beyond

Financial Services Applications

Financial application SLA management — uptime, latency, and transaction processing rate monitoring meeting regulatory and customer SLA commitments

Compliance-auditable change management — documented, approved, and logged application changes meeting FFIEC, PCI-DSS, and SOX audit trail requirements

Trading and risk application operations — performance-sensitive monitoring and sub-hour incident response for latency-critical financial applications

Security posture management — continuous vulnerability assessment, patch management, and penetration test remediation for regulated financial applications

What you can expect?

Outcomes from managed application operations

99.9%+

<1hr

60%

40%

Why CaliberFocus?

What makes our managed services different?

The Team That Built It, Runs It

AI Operations as a Native Capability

Proactive, Not Reactive

Accountability You Can Measure

Connected Services

Build it with us — then run it with us

Custom Application Development

AI-Powered Application Development

MLOps & LLMOps

DevOps, CI/CD & Cloud Infrastructure

Ready for an application that stays as good as launch day?

Industries we serve

Healthcare

Industrial Manufacturing

Banking and Finance

Retail and Ecommerce

Enhancing
Clinical Care,
Fewer Readmits!