Service Requests Resolved Automatically Through Intelligent Request Handling and Workflow Execution
Reduction in Manual Workload Across IT Service Desk Teams
Faster Request Fulfillment Through Automated Validation, Approval, and Provisioning
Employee Satisfaction Improved Through Quicker Resolution and Consistent Service Delivery
Company Overview
The client is a large enterprise with a high-volume internal IT service desk supporting employees across access, software, hardware, and account-related requests. The service desk handled thousands of daily requests, many of which were repetitive and rule-driven. Common examples included VPN access, software access, account unlocks, device-related support, and hardware service requests.
While the service desk had established processes for intake, validation, approval, and fulfillment, most requests still required manual effort. Support teams had to read tickets, classify request types, verify user details, check eligibility, confirm policy conditions, trigger fulfillment steps, and close the request after completion.
As request volumes increased, this manual model created longer wait times, inconsistent approvals, and higher workload for L1 teams. The enterprise needed a faster, more consistent way to process routine requests while keeping policy, identity, and risk checks intact.
Story Snapshot
The enterprise implemented STRATA Autonomous ITSM to automate service request handling with contextual validation. The solution used multiple STRATA agents to understand employee intent, validate identity and role, apply policy checks, trigger approved workflows, and learn from request patterns over time.
The platform was designed to handle repeatable service requests without human intervention when all required conditions were met. For example, when a user requested VPN access, STRATA validated group membership, device compliance, role eligibility, location, and risk score before approving and provisioning access automatically.
This allowed the service desk to reduce manual work, improve fulfillment speed, and deliver a more predictable support experience for employees.
At a Glance
The enterprise used STRATA Autonomous ITSM to modernize routine IT service request handling. The platform automated request intake, validation, approval, fulfillment, notification, and closure for eligible requests. It also added continuous learning to improve future accuracy across similar request types.
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Solutions Implemented |
Outcomes Achieved |
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Deployed a Request Intelligence agent to understand user intent and extract request details |
80% of service requests were resolved automatically |
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Integrated an Identity agent to validate user profile, group membership, and role eligibility |
Manual validation work was reduced across L1 service desk teams |
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Introduced a Policy agent to check compliance, location, access policy, and risk score |
Approvals became more consistent and policy-aligned |
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Enabled an Act agent to auto-approve or trigger fulfillment workflows |
Request fulfillment became 90% faster |
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Added an Adapt agent to learn from past requests and improve future accuracy |
Employee satisfaction improved through quicker, predictable service |
Modernizing Service Request Handling with Intelligent Automation
Enterprise service desks often spend a large share of their time on repeatable requests. These requests are necessary for employee productivity, but they rarely need complex troubleshooting. A user may need VPN access, a software license, an account unlock, or basic hardware support. The work appears simple, but the volume can put constant pressure on IT teams.
For this enterprise, the issue was not the absence of process. The service desk already had defined approval and fulfillment steps. The challenge was that most of these steps still depended on manual review. Each request had to be checked by a support agent before action could be taken. This slowed fulfillment and created variation in how similar requests were handled.
The business impact was visible across the organization. Employees waited longer for routine access. L1 teams spent time on repetitive validation instead of higher-value support work. Approval decisions were not always consistent because different agents interpreted request details and policies differently. As ticket volumes increased, the service desk needed a more scalable operating model.
STRATA Autonomous ITSM addressed this by applying agent-based automation across the service request lifecycle. Instead of treating a ticket as a static request, STRATA analyzed the context behind it. The platform understood what the employee was asking for, verified whether the user was eligible, checked relevant policy conditions, assessed risk, and triggered fulfillment only when the request met defined rules.
This created a faster and more controlled approach to service request automation. Requests that passed identity, policy, compliance, and risk checks could be completed without manual touch. Requests that required review could still be routed to the appropriate team. The result was faster fulfillment without weakening governance.
Problem
The enterprise service desk handled thousands of requests each day across access, software, hardware, account support, and other internal IT needs. A large portion of these tickets were repetitive, but they still required manual validation before approval or fulfillment.
Common requests included VPN access, account unlocks, software permissions, and hardware-related support. These requests usually followed known patterns, but agents still had to confirm the requester’s identity, role, group membership, location, device status, policy eligibility, and risk level.
This created several challenges:
- High wait times for routine employee requests
- Repetitive manual work for IT service desk teams
- Inconsistent approvals across similar request types
- Lower employee productivity due to delayed access or service fulfillment
- High volume of L1 tickets, increasing workload pressure
The enterprise needed to reduce manual dependency without removing the checks that protected access, compliance, and operational control. It wanted routine service requests to be completed faster, but only after the right identity, policy, and risk conditions were validated.
Solution
STRATA Autonomous ITSM was implemented to automate end-to-end service request handling with contextual validation. The solution used five STRATA agents, each responsible for a specific stage of the request flow.
The Request Intelligence agent analyzed each incoming request to understand user intent and extract the required details. When an employee submitted a request, the agent identified the request type, captured relevant information, and prepared the ticket for validation. This reduced the time service desk agents spent reading, classifying, and routing repetitive tickets.
The Identity agent validated the requester’s profile. It checked user roles, group membership, access eligibility, and identity-related context. This was important for access requests where approval could not be based only on the employee’s message. The system had to confirm whether the requested service matched the user’s role and assigned permissions.
The Policy agent reviewed the request against defined business rules and risk conditions. It checked whether the user’s device was compliant, the request matched policy, the location was acceptable, and the risk score allowed automatic approval. These checks helped ensure that automation remained controlled and auditable.
The Act agent then triggered the correct action. For eligible requests, it auto approved the ticket or initiated the fulfillment workflow. This could include provisioning access, updating the service request, sending a notification to the user, and closing the ticket after completion. By automating these steps, STRATA reduced delays between approval and fulfillment.
The Adapt agent supported continuous learning. It reviewed previous request patterns, outcomes, and exceptions to improve future accuracy. This helped STRATA become more precise over time in classifying requests, applying rules, and identifying cases that required manual review.
A typical request flow began when an employee raised a request for software access or VPN access. STRATA understood the request, validated the user’s identity and role, checked policy and risk conditions, and triggered fulfillment when all requirements were satisfied. The user was notified, and the ticket was closed automatically.
Outcome
The implementation helped the enterprise shift from manual ticket processing to intelligent service request automation. STRATA resolved 80% of eligible service requests automatically, reducing the repetitive workload placed on L1 service desk teams.
Manual workload reduced by 65%, allowing IT teams to spend more time on complex incidents, exceptions, and higher-value support activities. Request fulfillment became 90% faster because validation, approval, workflow execution, notification, and closure happened through an automated flow.
Employee experience also improved. Users received faster responses for routine requests, faced fewer follow-ups, and experienced more consistent service outcomes. At the same time, IT retained control over identity, policy, compliance, and risk checks before any automated action was taken.
By adopting STRATA Autonomous ITSM, the enterprise created a more scalable service desk model. Routine requests could be completed quickly and consistently, while exceptions remained under human review. This gave the organization faster service delivery, stronger operational consistency, and a better employee support experience.