MSPs and cloud services partners are under pressure to help customers manage AWS environments with fewer manual handoffs, faster incident response, and tighter control over cloud costs.
Caylent is moving deeper into that market with the launch of Caylent Accelerate for Agentic Cloud Operations. The AWS-native managed services model uses AI agents to support cloud operations work across incident triage, remediation, and cost optimization. Caylent says the service can accelerate 70% of remediation work and reduce mean time to resolution by 40%, according to its June 17 announcement.
For cloud operations teams, much of the work is still reactive. Tickets pile up, engineers spend time gathering context before they can act, and cost optimization recommendations often go untouched. Caylent is positioning Accelerate as a way to shift more of that work to agents while keeping AWS architects and engineers involved for review, approval, and auditing.
A platform and a shift in CloudOps delivery
Caylent describes Accelerate as both a platform and a change in how the company delivers managed cloud operations.
Shane Fimbel, SVP of managed services at Caylent, told ChannelE2E, “It is both a platform and a broader shift in how we deliver outcomes to our MSP customers. Caylent Accelerate for Agentic Cloud Operations, Caylent’s new Agentic Cloud Operations capability, comprises a set of AI agents and supporting services that automate the highest-volume, most repetitive work in AWS cloud operations: incident triage, cost optimization, and backlog management.”
The service is built on Amazon Bedrock AgentCore, AWS Frontier agents, AWS MCP Server, and Amazon OpenSearch Serverless, according to Caylent. The company says it is trained on 12 years of proprietary CloudOps intelligence, which helps the agents recognize incident patterns, identify likely root causes, recommend next steps, and surface cost optimization opportunities.
Caylent’s model also keeps humans in the loop for higher-risk work while using agents to reduce the manual effort tied to triage, escalation, and repeat remediation.
Andy Warzon, VP of Managed Services at Caylent, said that the human role remains central to the model.
“Our team’s work shifts,” they said. “The agents can now handle triage, research, and initial analysis. Our team shifts focus to reviewing the work, and importantly, managing client context and customizing agent implementations and interactions to fit each client’s unique needs and situation.”
What changes for customers and MSPs
For customers, Caylent says the bigger change is moving managed services further toward proactive operations.
“For the customer: Caylent Accelerate delivers faster, higher quality outcomes in several areas,” Fimbel said. “During an incident, it delivers faster triage and resolution, reducing business impact. But more importantly, it shifts the MSP delivery model further towards proactive optimization.”
Incident response is often slowed not by the fix itself, but by the work needed to understand what changed, which system is affected, who owns the service, and whether a previous incident offers a clue. Caylent says its agents can take on more of that early research and context-building work.
“Our agents can find more proactive improvements faster, and they can help our humans remediate and optimize customer environments more efficiently,” Warzon said. “This results in a stronger security posture, more system reliability and resilience, and greater cloud spend efficiency, all at a lower cost to our customers.”
For MSPs, instead of selling only monitoring, ticket handling, or escalation support, providers may increasingly need to show how they improve uptime, reduce repeat issues, lower cloud waste, and shorten resolution times.
More than AI-assisted ticketing
A lot of MSPs and cloud providers are adding AI into operations. The market is already seeing AI-assisted triage, ticket summarization, and automated recommendations. Caylent is trying to draw a line between those use cases and a more complete agentic operations model.
“At the core of the system today, the agents handle the highest-volume, lowest-differentiation work, including incident triage, cost optimization, and backlog management, so engineering teams can focus on the application and business logic that actually moves the business forward,” Fimbel said.
He also pointed to the training data behind the system as a key differentiator.
“This is not a tool, it is our agentic operations system backed by AWS-certified experts who own the outcome alongside the software,” Fimbel said. “Built on 12 years of proprietary CloudOps intelligence. Our agents are not trained on generic public data. They are trained on over a decade of real AWS operational history.”
The company also says the agents carry context forward from completed tasks.
“With the 12 years of proprietary data, the agents arrive already understanding what good looks like in practice, not just in theory,” Warzon said. “The agents carry context forward from every completed task into the next loop. The same issue does not surface twice, and time to resolution keeps falling.”
Three paths to adoption
Caylent is offering Accelerate through three engagement models.
The first is CloudOps Core, a managed services package that combines the AI agents with Caylent’s AWS-certified architects and operators. Customers can use the service through Slack or Caylent’s MSP platform, which brings triage, escalation, and optimization signals into tools teams already use. Packages start at $7,500 per month.
The second option is tied to migrations. Qualified Caylent migration customers receive a 30-day CloudOps Core trial after their migration project closes. That gives Caylent a way to attach managed operations services to project-based migration work, which is a common expansion path for cloud partners.
The third option is a custom AIOps platform for enterprises that want to own the underlying operations infrastructure. Those engagements begin with a fixed-fee AIOps Blueprint starting at $125,000.
Why AWS alignment matters
Caylent’s AWS focus is central to the launch. The company is an AWS Premier Tier Services Partner, a designation AWS gives to partners with demonstrated technical expertise and customer experience.
Caylent has also been expanding its AI services work. In April 2026, the company announced a dedicated Anthropic Consulting & Engineering practice. Earlier in June, Caylent said it had signed a multi-year strategic collaboration agreement with AWS focused on AI innovation, customer experience transformation, and agentic cloud operations. Caylent is trying to connect AWS infrastructure, generative AI tooling, agentic workflows and managed operations into one delivery model.
For customers, this could reduce the need to stitch together separate tools for incident management, automation, observability, and cost control. For MSPs, it raises the bar for what managed cloud operations may need to include as AI becomes a bigger part of service delivery.
What it means for cloud operations teams
Caylent’s main claim is that agents can handle the high-volume operational work that consumes engineering time. That includes preparing tickets with context, surfacing root-cause signals, recommending remediation paths, and identifying savings opportunities as they appear.
The company is also positioning engineers as part of the operating model, not outside it. Under CloudOps Core, Caylent’s AWS architects and operators approve and audit agent-driven remediation work. That approach should be easier for organizations to accept, especially when changes touch production environments. Caylent said it plans to expand the backend stack of agents over time, including capabilities around agentic observability, audit and compliance, customer context, and knowledge transfer.
