AIOps for managed services providers

Scale through technology and maximize profit margins

Benefits

  • Reduce IT noise: Aggregate, normalize, and filter alert noise into actionable incidents.
  • Achieve faster cycle times: AI-powered insights accelerate detection, triage, and resolution cycles, enabling you to improve SLAs and keep your teams ahead of critical issues.
  • Boost client trust and minimize churn: Showcase the value you’re bringing to your clients by sharing data-driven insights that demonstrate the proactiveness of your service platform.
  • Scale your business: Enhance client onboarding to accelerate time-to-market and reduce operational costs while handling more alerts without increasing headcount.

Managed Service Providers (MSPs) play a critical role in digital transformation. Enterprises depend on MSPs to efficiently manage the complexities of their hybrid cloud environments.

MSPs face numerous challenges in maintaining high-profit margins and delivering exceptional and reliable client services, including:

  • Operational inefficiency Managing large volumes of data from diverse client environments can be overwhelming, straining operational efficiency and resources. Growing alert volumes often require additional headcount, increasing costs, and impacting profitability. Automation is challenging due to fragmented data and legacy systems, which hinder scalability.
  • Knowledge silos and limited visibility Critical information is scattered and fragmented across various sources, hindering knowledge sharing, onboarding, and operational effectiveness while limiting visibility. This makes it difficult to gain a clear view of operations and proactively address issues before they impact client services.
  • High operational costs:To keep pace with the growing number of clients, MSPs frequently consider adding personnel to their network operating center (NOC) to manually filter through alerts. Although this is a quick solution, it is inefficient, increases operational costs, and strains budgets.

Scaling Managed Services with agentic IT operations from BigPanda

The BigPanda agentic ITOps platform enables MSPs to scale their service offering while delivering superior service quality. BigPanda accelerates client onboarding and automates the entire incident lifecycle across complex, hybrid client environments.

By acting as an open and agnostic layer, BigPanda eliminates data silos, allowing MSPs to go to market faster without the burden of manual tool configuration. Using the IT Knowledge Graph, BigPanda connects machine data, including internal and external observability, CMDB, and changes, with enterprise knowledge and AI-powered sensing. This allows MSPs to ingest data from any client tool stack immediately, eliminating the friction of manual configuration and custom coding. This speed enables MSPs to onboard customers quickly and prove value on Day 1.

BigPanda AI Detection and Response optimizes operational efficiency by automating manual L1 workflows. It filters and distills a massive volume of alert noise and correlates signals into a few actionable incidents. AI Detection and Response orchestrates agents that gather and analyze relevant context from changes, service desks, and historical data. It then presents L1 teams with AI-powered summaries and suggested actions. This enables engineers to triage incidents quickly, without deep prior knowledge of client infrastructure and lengthy investigations. As a result, Mean Time to Resolution (MTTR) is significantly reduced, and strict SLAs are met.

BigPanda also helps MSPs differentiate through AI Incident Prevention. This capability proactively detects and assesses high-risk changes and recurring incidents, mitigating risks before they breach SLAs. AI Incident Prevention provides MSPs with data-driven mitigation actions to recommend to clients, shifting the focus from reactive fixes to proactive incident prevention.

Unified Analytics provides ready-to-use dashboards that deliver insights and visibility into the value MSPs deliver for their clients. This transparency enables more open communication with clients and demonstrates the value of their service offerings.

By leveraging  AI-powered insights from BigPanda, MSPs can prevent incidents and accelerate detection, triage, and resolution. Trusted by leading MSPs, BigPanda enhances operational efficiency and helps deliver exceptional service reliability and value to their clients.

“BigPanda drastically reduced alert noise with minimal effort. Unlike other platforms requiring extensive professional services, BigPanda was easily configured, saving us significant time and resources.”

Dan Bartram

Head of Automation and Monitoring,

Gamma Communications

Streamlined onboarding

Faster incident response

Differentiated service offerings

Challenge

Onboarding customers is slow, and manually configuring new client environments can delay the go-to-market strategy for new clients.
Manual processes slow down MSPs’ ability to meet agreed-upon cycle times, preventing them from meeting SLAs.
MSPs must constantly differentiate their service offerings, or risk experiencing churn.

How BigPanda helps

The BigPanda IT Knowledge Graph streamlines client onboarding and connects machine data, including internal and external observability, CMDB, and changes, with enterprise knowledge and AI-powered sensing.
BigPanda AI Detection and Response empowers L1 operators with AI-driven incident summaries and suggested actions, accelerating incident triage.
BigPanda AI Incident Prevention analyzes change and recurring incidents for common root cause and surfaces mitigation steps.

Business value

Go to market faster with easier onboarding and unlock new market opportunities.
Achieve faster cycle times to speed up detection, triage, and resolution to exceed SLAs.
Prevent future incidents and scale with technology.

Streamline onboarding

Challenge

Onboarding customers is slow, and manually configuring new client environments can delay the go-to-market strategy for new clients.

How BigPanda helps

The BigPanda IT Knowledge Graph streamlines client onboarding and connects machine data, including internal and external observability, CMDB, and changes, with enterprise knowledge and AI-powered sensing.

Business value

Go to market faster with easier onboarding and unlock new market opportunities.

Accelerate incident response

Challenge

Manual processes slow down MSPs’ ability to meet agreed-upon cycle times, preventing them from meeting SLAs.

How BigPanda helps

BigPanda AI Detection and Response empowers L1 operators with AI-driven incident summaries and suggested actions, accelerating incident triage.

Business value

Achieve faster cycle times to speed up detection, triage, and resolution to exceed SLAs.

Maximize profit margins

Challenge

MSPs must constantly differentiate their service offerings, or risk experiencing churn.

How BigPanda helps

BigPanda AI Incident Prevention analyzes change and recurring incidents for common root cause and surfaces mitigation steps.

Business value

Prevent future incidents and scale with technology.

“We’re able to provide fast, automated insights and suggest root cause for incidents in real time, identifying problems before they escalate and ultimately mitigating downtime.”

Matt Bynum

SVP Managed Services,

Verinext