Baseel ITSM is a unified IT Service Management platform that runs every request, incident, and change through one shared case lifecycle engine — a single CoreCase record that every module builds on top of. It replaces fragmented, siloed tools with a single system of record, giving IT leaders real-time control over service delivery, governance, and enterprise risk, backed by dedicated, append-only audit logs on every major module. Because every case type is processed by the same underlying engine, organizations no longer need to maintain separate tools, separate logins, or separate reporting pipelines for each discipline of IT service management.
From a walk-up service request to a business-critical disaster-recovery readiness check, every case moves through the same engine, the same role-based access model, and the same audit trail — so nothing falls between systems, and nothing has to be manually reconstructed later. Whether a case originates from a frontline employee, an IT agent, or a governance review, it is captured, tracked, and closed using the exact same rules — giving leadership a single, trustworthy view of how work moves through the organization.
Most IT organizations run their service desk, change control, and compliance reporting on disconnected tools. Over time, this fragmentation compounds as new systems are added to cover gaps, integrations break silently, and no single team retains a complete picture of how work flows across the business.
Service desk, change control, and compliance reporting run on disconnected systems, with no single view of organizational risk. Teams end up re-entering the same information multiple times, increasing the chance of inconsistency and error.
Tickets get lost between systems, extending resolution time and increasing business impact. Handoffs between tools introduce delay exactly when speed matters most.
Changes go live without proper risk review, increasing the chance of avoidable outages. Without a consistent approval trail, even well-intentioned changes can bypass critical checks.
Audit evidence has to be manually rebuilt after the fact, slowing down compliance reporting. This after-the-fact reconstruction is time-consuming, error-prone, and difficult to defend under regulatory scrutiny.
Risks are tracked in spreadsheets or not at all, so there is no single view of exposure across the IT estate. This leaves leadership making decisions without a reliable, real-time picture of where the organization is most exposed.
Disaster-recovery and business-continuity plans exist on paper but are rarely validated, so real recovery readiness is unknown. Without regular testing, organizations often discover gaps in their recovery capability only during an actual outage, when it is too late to fix them.
Baseel ITSM brings Service Desk, Incident, Problem, Change, Release, Service Request, Risk, and Business Continuity management onto one platform. Every case flows through the same tracking engine, the same role-based access model, and the same append-only audit log. Automation handles SLA timers, approval routing, and evidence collection today, with monitoring-triggered intake and evidence export on the near-term roadmap — reducing administrative overhead across every team so agents, managers, and auditors can focus on higher-value work instead of manual coordination.
Because every module shares the same underlying engine, a single incident can be traced through its linked Problem and the Change record raised to fix it, without switching systems or reconciling data by hand. The result is a platform that scales from day-to-day ticketing up to enterprise governance, risk, and continuity planning, giving organizations room to grow their IT service maturity without having to replace their core toolset along the way.
Service Desk Ticketing is the operational entry point for Baseel ITSM, providing a single front door for users, agents, managers, and downstream ITSM modules. Every request begins as a traceable case and moves through Incident, Problem, Change, Release, or Service Request workflows without losing ownership, context, history, or audit evidence.
Requests are submitted through the self-service portal or API into a unified queue, where service desk agents classify, assign, and track work using a common case lifecycle. Cases can be filtered by status, priority, type, assigned team, and ownership, while SLA clocks start automatically and assignment history is captured throughout the case lifecycle.
The same case record follows the entire workflow without being recreated between modules, creating a unified audit trail and enabling reporting across all IT work from a single record. This simplifies request intake while supporting operational execution, transparency, automation, reporting, and future integrations as the organization grows.
Requests submitted through the self-service portal or via API land in a single, unified case queue the moment they are created. There is no separate holding area per channel—a submitted request is a fully tracked case within seconds. Email, chat, and phone-based intake are on the near-term roadmap and will feed into this same queue rather than a parallel one, preserving the single-queue guarantee as more channels are added.
Response and resolution SLA clocks start automatically based on the configured case type, so performance expectations are established the instant a case is logged rather than calculated manually after the fact. Workload-balanced assignment then distributes cases across eligible agents without manual triage, spreading load evenly instead of concentrating new work on whoever happens to be available first.
Every assignment, reassignment, and ownership change records who initiated the move, where the case moved from, where it moved to, and whether the change was automatic or manual. This is a dedicated, append-only history of ownership specifically, not a generic last-modified timestamp, so a manager or auditor can reconstruct exactly how a case travelled through the team over its entire lifetime.
Incident, Problem, Change, Release, and Service Request modules are specialized extensions of the same underlying case record, sharing status, priority, assignment, notes, and audit history. A case does not need to be re-entered or reconciled as it moves between disciplines—it is the same record, carrying additional module-specific data as it progresses.
Agents and managers see work scoped to their role and assigned modules, filtered by status, priority, and case type so each user focuses only on relevant work. Rather than scrolling through the entire organization's caseload, each person's default view already reflects what they are actually responsible for.
Incident Management focuses on restoring interrupted services quickly while preserving the information needed to prevent future disruption. Baseel ITSM centralizes incident activity into a structured record, ensuring traceability, communication discipline, and post-incident learning throughout the incident lifecycle.
The module supports incident logging, prioritization, assignment, escalation, resolution, and closure. Priority is calculated using impact and urgency, providing a consistent P1 to P5 classification model that helps distinguish localized disruptions, business-impacting outages, and major incidents requiring coordinated response.
Major incidents capture war-room details, stakeholders, broadcasts, and response activities in a single record, while recurring or high-impact incidents automatically generate linked Problem records for root-cause investigation. Throughout the incident lifecycle, every escalation, status update, and communication is retained, providing a complete audit trail for post-incident reviews, reporting, and continuous improvement.
Incidents can be logged the moment a failure is identified by an agent, an end user, or anyone with access to the intake channel, with no waiting for a formal process to begin. Direct ingestion from monitoring and alerting tools is on the roadmap; today, incident creation is always a deliberate, human-initiated action.
Priority is computed from impact and urgency using a consistent calculation, producing a repeatable P1 through P5 classification across the organization rather than a subjective, agent-by-agent judgment call. This keeps the most business-critical issues from being accidentally buried behind lower-priority noise.
Significant incidents can be declared as Major Incidents, capturing a war-room link, notifying on-call stakeholders automatically, and enabling coordinated response through swarming. This is a deliberate escalation step that puts the right people in the loop immediately, rather than requiring someone to manually track down who needs to know.
High-impact incidents or repeated incident patterns automatically create linked Problem records so recurring or serious issues receive root-cause attention without anyone having to notice the pattern themselves. This guarantees that serious or repeat issues move beyond firefighting into proper investigation.
Every status update, escalation, and stakeholder note is captured against the incident record as a chronological narrative. Months later, anyone reviewing the incident sees the complete sequence of what happened and when, without reconstructing it from chat logs or memory.
Incident Management improves response speed while preserving discipline. It helps teams focus first on restoring service, then ensures that the knowledge captured during the incident is available for post-incident review, audit, and Problem Management follow-up, turning every incident into a source of organizational learning rather than a closed ticket that disappears from view.
Problem Management is where recurring pain gets permanently fixed rather than repeatedly patched. It connects incidents, root-cause analysis, known errors, and corrective changes into a single, auditable workflow, helping teams move from reactive firefighting to structured prevention.
When multiple incidents point to the same underlying weakness, Problem Management provides the structure to investigate recurring symptoms, identify the root cause, document findings, and connect the final resolution to controlled operational change. Related incidents remain linked to the Problem record, giving teams complete visibility into scope, frequency, history, and business impact while supporting disciplined investigation.
The structured 5-Whys approach ensures every Problem includes documented investigation, root cause, and resolution before closure. Known Errors and workarounds become reusable knowledge for frontline teams, while links between Problems and Changes provide complete traceability from recurring issue to permanent resolution and future operational improvement.
Related incidents are linked automatically when a Problem is created, making the full blast radius visible from the Problem record itself rather than requiring someone to manually search for and attach related cases.
Each Problem carries an ordered investigation with Whys, timeline, root-cause statement, and resolution summary; completion is required before resolution. This enforces disciplined analysis rather than allowing a Problem to be closed on a surface-level explanation.
Documented root causes and workarounds become searchable Known Error records that frontline teams can reuse when similar symptoms appear, letting agents resolve repeat issues with a documented fix instead of re-investigating from scratch.
Where permanent resolution requires operational change, the related Change record links directly back to the Problem that drove it, keeping a clean, auditable line from root cause to permanent fix.
Linked incidents, Problem status, and searchable case data reveal repeated failure patterns without a separate analytics exercise, so teams can see at a glance which root causes keep resurfacing.
Problem Management lowers repeat incident volume by forcing proper analysis, preserving institutional knowledge, and connecting corrective action to governed Change Management. It helps teams invest effort where it removes future operational noise instead of repeatedly treating the same symptoms, turning every serious incident into an opportunity to permanently close a gap rather than simply reopening the same conversation the next time it fails.
Change Management ensures operational changes are assessed, approved, scheduled, implemented, reviewed, and audited through a consistent process. It provides the control needed to balance operational speed with governance, particularly for changes that carry high business or technical risk.
The module supports Standard, Normal, and Emergency change classes, allowing governance to match the nature of the work. Every change is evaluated based on risk, urgency, timing, approval requirements, and recovery planning, while the Change Calendar helps teams coordinate implementation windows, avoid conflicts, and manage blackout periods.
Approval history, CAB decisions, backout plans, rollbacks, and Post-Implementation Reviews remain linked to the change record, providing complete traceability from proposal through implementation. Risk assessments are integrated into the approval process, ensuring every change is reviewed with full operational context and a defensible audit history.
Every change is classified by type and risk level at creation, directly determining the approval path it follows, so low-risk work moves quickly while high-risk work is automatically routed through proper scrutiny.
Higher-risk changes can move through up to three approval levels, each gated by the approver genuinely holding the required role, with scheduling automatically checked against blackout periods and existing changes.
Documented backout plans are required upfront, and Emergency or High/Critical changes require a Post-Implementation Review before closure, ensuring lessons are captured whether the change succeeds or fails.
Approvals, rejections, rollbacks, and key decisions are written to a dedicated, append-only audit log tied to the change record—not just an overwritten status field—giving a defensible history for any later review.
Formal risk assessments—assessor role, assessed impact, recommendation—feed directly into CAB decisions so change approval reflects operational exposure, not just delivery urgency.
Change Management reduces avoidable outages by making risk, approval, timing, recovery, and review visible before implementation. It gives organizations a defensible record of what changed, why it changed, who approved it, and how the outcome was reviewed, turning change control into a safeguard against unplanned downtime.
Release & Deployment Management coordinates multiple related Changes into a single, well-orchestrated go-live event. It ensures approved changes are grouped, scheduled, validated, tracked, and closed through a controlled deployment process, providing structure for complex releases involving multiple teams and activities.
The module keeps Release Management closely connected to Change Management by allowing only approved Changes to be bundled into a Release. Teams can focus on sequencing, scheduling, quality validation, and deployment coordination while preserving the governance already completed during change assessment.
Pre-deployment checklists, live status tracking, QA validation, rollback planning, and stakeholder communication provide complete visibility throughout the release lifecycle. Every deployment maintains a traceable record of included changes, readiness checks, deployment status, quality outcomes, and recovery actions, ensuring coordinated and auditable release execution.
A Release can only bundle Changes that have already been approved, preserving Change Management governance even during larger, multi-team deployments.
Deployment windows are checked against the Change calendar, blackout periods, and overlapping scheduled work, with conflicts surfaced as explicit warnings before go-live rather than discovered during it.
Each deployment carries checklist items and moves through a visible lifecycle from planned to in progress, completed, rolled back, or closed, giving stakeholders real-time visibility without asking for a status update.
QA validation counts such as pass, fail, blocked, and not-run are tracked directly against the deployment before completion, giving a concrete answer to whether the release actually worked.
Rollbacks require a documented reason and stakeholder notification, and are linked back to the deployment they reverse, keeping recovery actions visible, accountable, and traceable.
Release & Deployment Management gives teams confidence during multi-change releases. It reduces deployment collisions, improves stakeholder visibility, and provides clear evidence that quality checks and rollback controls were considered before the release was closed, ensuring complex, multi-team deployments are managed with the same rigor as a single change.
Service Request Management standardizes routine, catalog-based requests through a structured and trackable process. It helps users submit common requests with the required information while giving fulfillment teams the details needed to complete work efficiently.
The module is built around an admin-defined Service Catalog, where each catalog item includes configurable forms, SLA targets, approval requirements, and fulfillment ownership. This reduces ambiguity during request submission, improves routing accuracy, and ensures requests are handled consistently from submission through fulfillment.
Automated approval routing, SLA monitoring, reusable request templates, and self-service tracking improve transparency while reducing manual coordination and repetitive service-desk interactions. Managers also gain better visibility into routine service demand, fulfillment performance, and opportunities for automation and process improvement.
Administrators define requestable services, configurable forms, and SLA targets for each catalog item, removing the ambiguity of open-ended requests and ensuring fulfillment teams get the details they need up front.
Requests configured for approval are routed automatically to the correct approver, removing the manual step of figuring out who needs to sign off or forwarding the request along by hand.
SLA targets are tracked against the clock, and missed targets are flagged automatically for reporting, so fulfillment delays surface on their own rather than requiring someone to notice.
Requesters can follow progress from submission through approval, fulfillment, completion, and closure, cutting down the inbound status-check volume that otherwise consumes agent time.
Structured catalog forms ensure common requests start with the right fields instead of free-text interpretation, speeding up submission and reducing back-and-forth clarification.
Service Request Management reduces repetitive service-desk conversations, improves fulfillment consistency, and gives employees a transparent experience for routine IT needs. It helps agents spend less time asking for missing information and more time completing the request, while giving managers a catalog-level view of where routine demand is concentrated.
Risk Management provides a structured view of organizational exposure by replacing spreadsheet-based tracking with accountable ownership, risk scoring, review cadence, mitigation planning, and audit history. It helps organizations identify, assess, and manage operational risks through a centralized risk register.
The module uses a Likelihood × Impact model to classify risks into Low, Medium, High, or Critical severity, ensuring consistent prioritization across the organization. Risk ownership, assignment history, and review frequency are managed based on severity, creating a living risk register that stays current as risks are reassessed.
Risk mitigation is linked directly to Change Management, allowing treatment plans to become governed operational changes with full traceability. Combined with reporting, audit history, and future support for Opportunity tracking, the module helps organizations connect governance decisions with measurable operational action.
Risks are scored automatically and banded into Low, Medium, High, or Critical severity, ensuring consistent prioritization across the organization rather than a subjective label.
Severity determines how often a risk must be reviewed, ensuring critical risks receive more frequent attention without anyone having to manually schedule that cadence.
Each risk is assigned to an accountable owner, with assignment history written to the audit trail, so there is no ambiguity about who is responsible for tracking it to closure.
Risk treatment can link directly to operational Change records, connecting mitigation plans to real, trackable execution rather than a paragraph of intent in a register.
A live cross-organization register gives leadership visibility into exposure, reassessments, ownership, and status movement, backed by a full audit history behind every individual risk.
Risk Management helps leadership prioritize action based on consistent scoring and accountable ownership. It connects governance decisions to operational records so risk treatment becomes trackable work rather than a static note in a register, giving the organization a current picture of exposure supported by complete audit history.
BCP / DR Management provides a centralized view of business resilience by connecting application recovery planning, dependencies, recovery objectives, readiness status, and recovery playbooks into a single controlled module. It helps organizations understand recovery readiness before a disruption occurs instead of relying on static recovery documents.
The module maintains an Application Recovery Register that links critical applications with business processes, priority tiers, environments, backup information, recovery objectives, and CMDB relationships. Dependency-aware RTO and RPO tracking, Smart Recovery Sequencing, and automated DR Readiness status help teams understand recovery priorities, dependencies, and operational readiness across the entire application landscape.
Structured recovery playbooks standardize preparation, recovery, rollback, and post-incident activities, while dependency-driven recovery calculations provide an accurate view of real recovery exposure. Together, these capabilities help organizations move from documented recovery plans to operationally validated recovery readiness.
Critical applications are registered with priority tiering, supported business process, environment, backup configuration, and CMDB linkage, so recovery planning is grounded in the same asset data the rest of the organization relies on.
Recovery time and recovery point objectives are recalculated across dependency chains to reveal true recovery exposure, rather than relying on a stale, individually-set target that ignores what an application depends on.
Dependency-graph logic groups applications into recovery layers so foundational systems are restored before dependent systems, replacing guesswork with an accurate, automatically generated recovery order.
Applications are flagged Ready or Incomplete based on recovery documentation and dependency completeness, giving continuous, always-current visibility into true recovery posture.
Plans follow a standardized structure covering Pre-Recovery Checklist, Recovery Procedure, Rollback Procedure, and Post-Incident Analysis, built from a reusable step library rather than reinvented per application.
Running tabletop exercises and recording findings against playbooks is in active development, moving the organization from documented readiness toward genuinely tested readiness.
BCP / DR Management gives organizations continuous visibility into real recovery readiness. It reduces reliance on static documents, exposes dependency-driven recovery risk, and helps teams move from having recovery plans to proving that those plans are complete, sequenced, and actionable.
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