From strategy to accountable work
Plans and portfolios stay connected to tasks, processes, ownership, and resource decisions as execution changes.

Connected enterprise work
XISUITE connects projects, processes, knowledge, risk, assets, and automation in a modular workspace you can run as SaaS or self-hosted.
Work stays legible when its context stays connected.
XISUITE is a modular enterprise workspace for connecting the work an organization plans, the work people deliver, the knowledge they create, and the controls that keep it accountable.
Built as one system
Start with the capabilities that matter now. Add planning, knowledge, governance, automation, and AI without separating the organization’s operating picture.
Turn priorities into accountable work without losing the process around them.
Connect plans and portfolios to the capacity and work that move them forward.
Keep guidance, files, lists, and assets beside the decisions they support.
Make risk, privacy work, access, and accountability part of daily execution.
Extend repeatable work with automations, APIs, assisted creation, and governed tools.
Turn priorities into accountable work without losing the process around them.
Connect plans and portfolios to the capacity and work that move them forward.
Keep guidance, files, lists, and assets beside the decisions they support.
Make risk, privacy work, access, and accountability part of daily execution.
Extend repeatable work with automations, APIs, assisted creation, and governed tools.
The system in use
Each workflow keeps its intent, execution, knowledge, and control signals close enough to act on.
Plans and portfolios stay connected to tasks, processes, ownership, and resource decisions as execution changes.

Risk, heatmaps, GDPR workflows, roles, permissions, and auditability sit beside operational work instead of in a parallel reporting system.
Wiki knowledge, assets, files, and lists remain close to the work and decisions that give them meaning.
Forms, automations, APIs, document exports, migration, and Site Studio help XISUITE fit the way an organization already operates.
Infrastructure follows policy
XISUITE adapts to the organization’s operating model rather than forcing infrastructure into a single answer.
Use XISUITE as a managed cloud workspace for multiple organizations and teams.
Run a dedicated tenant context when organizational boundaries call for a separated environment.
Operate XISUITE on your own infrastructure when control of the deployment is the priority.
Alternative to Jira & Confluence
Atlassian is retiring Data Center: Jira and Confluence Data Center become read-only on 28 March 2029. XISUITE brings tasks, boards, workflows and wiki into one system – as SaaS or on your own infrastructure. The migration tool is built right into the application.
No new Data Center subscriptions for new customers
In effectNo new subscriptions, expansions or upgrades for existing customers
End of life: Jira and Confluence Data Center become read-only
Keep operating it yourself: with XISUITE on-premise or single-tenant, data and operations stay in your hands – no forced move to someone else’s cloud.
One system instead of several products: tasks, boards, wiki, processes, assets and risks share one data model and one permission concept.
Jira projects and Confluence spaces are moved directly inside the application – one-click, guided or standard, depending on how complex your setup is.
Assessment call
Before anything is migrated, we look at your current setup together with you – whether Jira, Confluence or another tool, in the cloud or on your own servers.
Book an assessment callA clear recommendation on the right path to XISUITE – the operating model, migration approach and next steps.
Jira, Confluence and Atlassian are trademarks of Atlassian. XISUITE is not affiliated with Atlassian.
Choice before spectacle
Configure intelligence for the tenant, bring it into real work, and govern which tools are allowed to read or write.
Organizations configure provider and model credentials at tenant level rather than inheriting a hidden default.
AI can help create plans and turn task context into wiki knowledge within real XISUITE workflows.
Usage visibility and MCP controls help administrators decide which tools can read or write.
Use cases
From a damaged-goods report to a complete 8D process: real workflows, mapped step by step to XISUITE modules.
From goods receipt to site roll-out
Damaged goods are discovered at goods receipt, but the report reaches dispatch by email or phone. Photos end up on private phones, the supplier asks for details nobody can find, and three weeks later it is unclear whether the credit note was ever requested.
The employee opens the “Transport damage” form on the intranet, selects shipment and supplier from the object list and uploads photos straight from the tablet.
The submission becomes an issue of type “Claim” with all fields, photos and links to shipment and supplier.
The quality lead assesses the damage, purchasing approves the claim and the automation sends the request to the supplier.
On the board the team sees all open claims by status. Once the credit note arrives the issue is closed; the dashboard shows the damage rate per supplier.
Trucks, forklifts, trailers and load carriers are tracked in several Excel lists. Statutory inspections, safety checks and maintenance intervals sit in individual people’s calendars. If someone is absent, an inspection is missed – and a vehicle is unexpectedly off the road.
Every vehicle and device is captured with its own schema: licence plate, location, inspection date, maintenance interval, lease contract and owner.
An automation checks all inspection and maintenance dates daily and creates a maintenance ticket for the workshop 30 days before they are due.
The workshop sees all upcoming jobs on the Kanban board, documents the work and attaches inspection reports to the asset.
Dispatch and fleet management see live which vehicles are available, which are in maintenance and what each vehicle costs.
A new distribution centre is opening: construction, racking, IT, staffing, authorities and supplier connections all have to mesh. Each area plans in its own file, management gets the status from weekly meetings – and delays only surface once they are critical.
Each new site gets a space created from the “Site roll-out” template – with predefined work packages, checklists and roles.
The project lead plans trades, dependencies and milestones in the Gantt chart. The critical path shows which delay puts the opening date at risk.
Construction, IT and HR see their work packages as tasks. Plans, permits and layouts live in the space’s wiki.
All running site projects appear on one timeline in the portfolio. The management letter sums up status and risks.
Service desk, assets and changes in one system
Incidents and requests reach IT by email, Teams chat, phone and shouts across the office. Priorities go to whoever is loudest, SLAs cannot be measured, and at month-end nobody knows how many tickets of which kind were handled.
Incident, service request and change each get their own fields, priority logic and workflows – based on ITIL, adapted to the company.
Automations turn emails and Teams messages into tickets. Alternatively, staff report incidents through an intranet form.
The service desk works on a Kanban board with swimlanes by priority. Escalations happen automatically when SLA times are exceeded.
Tickets about security incidents or HR matters are visible only to authorised people through ticket security.
Which laptops are with whom, which servers run under which maintenance contract, how many licences were bought and how many are in use? The answers are spread across five tools, an Excel file and one colleague’s head. Licence audits get expensive.
Hardware, servers, software licences and contracts are created as asset types with suitable fields and linked to each other: laptop → user → licence → contract.
Every incident or change ticket references the affected object, so a device’s history is fully traceable.
Calculated fields add up licence costs per department and cost centre; comparing purchased and assigned licences reveals over- and under-licensing.
The dashboard shows expiring maintenance contracts and licences; an automation creates the renewal task for purchasing in good time.
Changes to systems are agreed in chat and approved by email. Documentation is meant to happen “later” but usually never does. At the next audit or outage, the search begins for who changed what and when.
Requesters fill in a dynamic form: depending on the risk class, additional fields such as a rollback plan or test evidence are required.
The built-in approval process routes the change to the CAB or the responsible experts – with deadlines, comments and a complete history.
The ITIL processes are modelled as a process hierarchy; each level links to the matching wiki page with policies and templates.
After implementation, the AI assistant Robert generates a structured wiki entry from the ticket history – release notes included.
From day one to capacity planning
A new colleague starts on Monday. HR has the checklist in Excel, IT hears about it on Friday, the laptop isn’t there and access is missing. On exit it’s the other way round: accounts stay active, keys are forgotten.
HR creates the new employee and starts the “Onboarding” process, which automatically generates tasks for IT, facilities, the department and HR itself.
An automation creates the equipment ticket 10 days before the start date, the access permissions 3 days before and the welcome meeting on day one.
HR sees on a board per new hire which steps are done. Managers only get their own tasks.
On exit the mirror process runs: revoke access, collect devices, hand over knowledge – with evidence for each step.
Leave, training, home office, certificates – every request is an email to HR that gets forwarded, chased and eventually answered. Policies sit as PDFs on a drive hardly anyone can find.
HR builds an employee portal in the corporate design from ready-made blocks, with request forms, news and policies.
Forms show the relevant fields depending on the selection – a training request asks for costs and benefits, a home-office request only for the period.
Every request runs through the approval process; requesters can see the status at any time without asking.
Policies and FAQs live in the HR wiki, visible only to the right groups through page permissions.
Who has free capacity next quarter? Who holds the certification for the new project? These questions cost HR and project management days every time – and the answers sit in confidential Excel files that too many people can see.
Skills, certificates, roles and teams are maintained as object lists and linked to employees – including certificate expiry dates.
The portfolio shows which projects start in the coming months and which roles they need.
Time-reporting widgets compare planned and available capacity – bottlenecks and overload are visible at once.
Salary, appraisals and health data are visible only to HR through field-group-level permissions.
Agile teams, docs and toolchain
Backlog in one tool, bugs in a second, sprints in a third. The daily starts with reconciling lists, product owners maintain priorities twice, and stakeholders ask for status in chat.
Epic, story, bug and task get their own fields such as story points, component and acceptance criteria – each team can adapt its types.
Boards are created in seconds using filter logic: a sprint board for the team, a bug board for QA, an overview board for the product owner.
Developers see branch and reviewer on the card, the PO sees priority and customer reference – same issues, different views.
Automations sync commits, pull requests and build status to the issue. On merge, the status changes automatically.
Before every release someone collects release notes from tickets. The architecture docs are two versions behind, and onboarding new developers takes weeks because knowledge lives in heads and chat histories.
When a release is completed, the AI assistant Robert creates structured release notes as a wiki page from the included tickets – ready for review and approval.
Diagrams are created with the draw.io integration directly in the wiki and linked to the related processes and component objects.
Wiki pages are linked to tickets and processes: whoever works on a ticket sees the relevant docs without searching.
Specifications, test reports and diagram exports live in Files, right on the ticket or wiki page.
Jira, Linear, GitHub, Slack, Google Drive – the team wants data to flow, not to be copied. Switching ticket systems is daunting because years of history, attachments and workflows must not be lost.
Existing Jira projects come over via one-click migration – tickets, comments, attachments and workflows. Complex setups are supported by guided migration.
Automations link GitHub, Slack, Teams, calendars and Drive: data flows both ways, and every run is traceable in monitoring.
Every function is available through the documented REST API – for your own scripts, pipelines and internal tools.
Through the native MCP interface, your own LLM assistants securely access tickets, wiki and objects – with the permissions of the respective user.
From idea to funding report
Ideas come up in meetings, emails and on flipcharts. Some are pursued, many disappear. Which idea was assessed, prioritised or deliberately dropped can’t be traced later – and management asks what’s in the pipeline.
Through a form in the innovation portal, every employee submits ideas – with a problem statement, expected benefit and effort estimate.
Each idea runs through a workflow: screening → assessment → concept → decision. At every gate, a committee assesses it against fixed criteria.
Approved initiatives are prioritised and scheduled in the portfolio by strategic contribution, budget and resource needs.
The management letter sums up pipeline, progress and risks; the dashboard shows number of ideas, lead time and success rate.
Experiments, samples and measurements are scattered across folders, lab notebooks and emails. Anyone who wants to repeat an experiment first has to hunt for the parameters. When someone leaves, knowledge about ongoing series is lost.
Test series, single experiment, sample and prototype are created as objects with their own fields – parameters, material, batch, result – and linked to each other.
Preparation, execution and evaluation are tasks attached directly to the experiment object. The team works on a board per lab.
Test protocols are written as wiki pages from a template; measurement data and images live in Files – all on the object, without media breaks.
Dashboards summarise results across test series; on request, Robert writes the summary for the project report.
FFG and EU projects require work packages, milestones, timesheets and periodic reports. Planning lives in Excel, hours are estimated after the fact, and every half-year the report costs a week.
The WBS mirrors work packages and milestones exactly as in the application; Gantt planning with a baseline records the approved plan.
Employees book hours directly on tasks in the work package – time-reporting widgets provide evidence per person and period.
The built-in risk matrix and stakeholder management document assessments and measures – a mandatory part of many funding reports.
Progress, deviations from the baseline and timesheets are exported as PDF and archived in the wiki.
GMP-compliant and audit-ready
A deviation in production must be recorded, assessed, investigated and closed with corrective and preventive actions in a GMP-compliant way – complete and traceable. With email and Word templates that is hardly audit-proof and takes a lot of time.
The deviation is captured via a form: product, batch, process step, classification. Depending on criticality, additional fields appear.
The “Deviation” issue type runs through assessment → root-cause analysis → CAPA → effectiveness check. Each status change requires defined roles and information.
QA assessment and approval are read-only for other roles. Sensitive deviations are shielded through ticket security.
Every change is recorded with user and timestamp. The dashboard shows open CAPAs, deadlines and recurring deviations.
Standard operating procedures sit as PDFs in file shares. Which version is valid, who approved it and who was trained on it is tracked in separate lists. During inspections, evidence has to be pieced together laboriously.
Each SOP is a wiki page with versioning, approval status and page permissions. Drafts are only visible to authors and QA.
SOPs are attached to the process steps they describe. Whoever works on a task in the process sees the valid SOP right next to it.
When a new version is approved, an automation creates training tasks for all affected roles – with a deadline and read confirmation.
The dashboard shows training status and upcoming reviews per SOP; inspectors get the evidence at the push of a button.
Lab equipment and systems need IQ/OQ/PQ, regular calibration and requalification. Due dates sit in individual calendars, certificates in folders. A missed date means locked equipment and rework.
Each device is recorded with qualification status, calibration interval, tolerances, location and owner; certificates are attached as files.
Automations create calibration and requalification tickets in good time and lock the equipment status when a date is exceeded.
The technician records measurements in the ticket, attaches the protocol and sets the status; QA approves.
The dashboard shows all equipment with status, next due date and history – the basis for every inspection.
Safety, plants and HSE under control
Safety data sheets are scattered across drives, folders and suppliers. Which version is current, which substances are stored where and which protective measures apply cannot be found fast enough in an emergency.
Each substance is an object with H/P statements, hazard pictograms, storage class, storage location and quantities; the valid SDS is attached as a file.
A Site Studio portal makes the register searchable for all employees – even from a tablet on the shop floor.
Automations flag SDSs older than a defined age and create review tasks for the hazardous substances officer.
Operating instructions in the wiki link to the substance objects; safety briefings are evidenced as tasks with confirmation.
Pumps, valves, reactors and pipelines: fault reports arrive on slips of paper and by phone, maintenance plans live in Excel, and only the technician who has looked after a unit for years knows its history.
Site → plant → assembly → component is modelled as an asset hierarchy with technical data, spare parts and documentation.
Operators report faults through a form at the terminal – select the component, describe the symptom, attach a photo. The ticket lands on the maintenance board.
Maintenance plans automatically generate tasks by interval or operating hours; the team schedules them on the board and documents the work on the asset.
Dashboards show downtime, MTBF and maintenance costs per plant and provide the basis for replacement investments.
Near misses are rarely reported because the process is too cumbersome. Audit findings end up in reports, the related actions in emails – and at the next audit it turns out half of them were never implemented.
A short form – at the terminal, on the intranet or on mobile – captures incidents, near misses and unsafe conditions with photo and location.
Every finding from a report or audit becomes a task with an owner, deadline and effectiveness check.
Actions and incidents are assigned to the HSE processes; procedures in the wiki are linked directly.
Reporting rate, open actions, overdue deadlines and trends per area are available live to the HSE team and plant management.
Quality, launches and shop floor
Defective supplier parts trigger a claim. The 8D report is kept in a Word template and exchanged with the supplier by email, deadlines are tracked in calendars – and there is no overview of open claims per supplier.
The “8D report” issue type guides you step by step through D1 to D8; each step is a workflow status with required fields that must be completed before moving on.
Supplier, part number, batch and affected vehicles are linked as objects – repeat defects per part are visible immediately.
Automations remind suppliers and the quality team of D3 containment actions and D5 deadlines and escalate when they are exceeded.
The finished 8D report is exported with one click. The dashboard shows claim rate and response time per supplier for the rating.
A new series launch involves gateways, customer deadlines, stakeholders in engineering, purchasing and production, and risks at part and process level. Each project plans in its own file, and plant management learns about delays too late.
Every project starts from a space template with the APQP phases as work packages and the gateways as milestones.
The Gantt plan with dependencies and critical path is frozen as a baseline; deviations are highlighted in colour.
FMEA-relevant risks are assessed in the risk matrix, stakeholders are tracked with influence and expectations – both part of the gateway reviews.
All launches appear on one timeline in the portfolio; the management letter gives plant management a compact update on status and risks.
Improvement suggestions from production get lost on the way to the office. Standards hang laminated at the line and are out of date. Metrics such as OEE are kept in the shift log and typed up weekly.
A Site Studio portal on the line terminal takes improvement suggestions, faults and shift handovers via form.
Each suggestion becomes an issue on the line’s Kanban board: idea → assessment → implementation → standardised. The team follows progress in the shop floor meeting.
Work instructions and standards are versioned in the wiki and displayed at the terminal – laminated notices are no longer needed.
OEE, scrap and lead time are visualised on the dashboard from the captured data; the automation reports deviations to the shift lead.
XISUITE’s partner layer supports the commercial and operational work around bringing the platform to customers.
Discuss partnershipDirect answers about scope, deployment, connection, AI control, and partnership.
