AI that visibly takes work off your hands.
Not just a loose list of features, but recognizable stories from actual operations. See how teams connect data, decisions, and system actions into a single manageable workflow — with people in control and AI where it makes all the difference.
Trade
THE SITUATION
Orders arrive via email, portals, and documents. Employees have to retype data and resolve differences manually.
THE METHOD
An agent recognizes order lines, validates prices and customer conditions, and prepares the booking in the ERP. Deviations remain visible for verification.
THE RESULT
Shorter turnaround time, fewer input errors, and a scalable process during peak loads.
Business services
THE SITUATION
Hours, schedules, and availability are often scattered across calendars, notes, and the ERP. As a result, planning requires an unnecessary amount of manual work, and conflicts or gaps easily arise.
THE METHOD
An agent collects registrations, checks for missing context, and prepares draft timesheets. Only exceptions are forwarded to an employee for review.
THE RESULT
Fewer scheduling conflicts, faster hours and capacity processing, and a complete overview from availability to deployment.
Production
THE SITUATION
Quality measurements are recorded on the work floor, but do not always reach planning and management on time or in the same format.
THE METHOD
AI reads inspections, links them to orders and machines, and immediately flags deviations. Production information is updated automatically.
THE RESULT
Up-to-date production and project files, earlier detection of deviations, and less administrative transfer.
Construction
THE SITUATION
On-site inspections yield photos, notes, and checklists that must later be brought together again for reporting and follow-up.
THE METHOD
AI structures findings during the inspection, links evidence to the correct phase, and makes follow-up actions directly available for both the office and execution.
THE RESULT
Faster reporting, clear ownership, and better demonstrable compliance.
Real Estate
THE SITUATION
Inspections and maintenance notifications come in through various channels and are often handled separately from contract and asset data.
THE METHOD
An agent links reports to the correct object, gathers relevant contract information, and sets up inspection or maintenance tasks for the responsible party.
THE RESULT
Faster processing, less searching, and one up-to-date overview per object.
Logistics
THE SITUATION
Delays and exceptions arise across carriers, warehouses, and customer channels. As a result, teams often only react when a customer contacts them first.
THE METHOD
AI monitors statuses, detects anomalies, and initiates the correct follow-up action: an internal task, an update to the customer, or an additional check by planning.
THE RESULT
More proactive communication, faster exception handling, and fewer manual status checks.
Purchasing
THE SITUATION
Inventory data, product information, and customer inquiries change constantly. Teams often lack a single, reliable view of availability and next steps.
THE METHOD
An agent connects sales, inventory, and product data, detects shortages, and supports employees with up-to-date answers and targeted tasks.
THE RESULT
Better availability, fewer missed sales, and faster service on the warehouse floor.
Sales and advice
THE SITUATION
Account managers and advisors spend a lot of time collecting and rewriting information from customer data, interviews, and previous reports.
THE METHOD
An agent combines text and speech into an initial report structure, including substantiation and open questions and tasks.
THE RESULT
More time for analysis and discussion, consistent reports, and complete control over the final version.
Service
THE SITUATION
Service requests arrive in various forms and must be categorized by priority and linked to cases and responsible departments.
THE METHOD
AI classifies the request, gathers dossier context, and prepares a proposal for handling and communication. Decisions remain with authorized staff.
THE RESULT
Faster intake, more consistent files, and clearer communication with clients.
Financial services
THE SITUATION
Financial documents must be reviewed quickly, while provenance, exceptions, and compliance requirements must remain demonstrable.
THE METHOD
AI extracts data, compares it with budgets, and flags deviations. Cases with risks or missing information are forwarded for specialist review.
THE RESULT
More consistent checks, shorter lead times, faster decision-making, and a complete audit trail.
Education and training
THE SITUATION
Developing training takes time: the knowledge of experienced employees must be repeatedly captured and converted into teaching materials.
THE METHOD
While someone performs a task, AI captures the steps as a skill. That skill is immediately reusable as training material or instruction.
THE RESULT
Training sessions are always up to date and based on practical experience, making you less dependent on isolated knowledge, and reusable for everyone.
Healthcare
THE SITUATION
Files, observations, and handovers require highly accurate recording. Information must be complete without professionals spending more time behind a screen.
THE METHOD
AI structures notes, checks for missing components, and prepares reports within the existing authorizations. A professional remains responsible for review and release.
THE RESULT
More complete files, less administrative burden, and a better transferable process.
Exact Synergy AI
THE SITUATION
Manually processing support tickets, time registrations, quotes, and documents in Exact Synergy takes time — retyping, classifying, and linking them to the correct order or workflow.
THE METHOD
Synergy AI brings AI agents directly into your Synergy overviews. Select lines — including attachments — and immediately start an AI agent or workflow, without leaving Synergy. Think of classifying tickets, structuring time tracking, or creating quotes from documents.
THE RESULT
Minutes instead of hours per ticket, hour line, or quote — directly within your existing Synergy environment.
MS Outlook AI
THE SITUATION
Important information in emails — support requests, orders, documents — must be manually transferred to the ERP system.
THE METHOD
Outlook AI transforms the inbox into an AI-driven workstation. Select emails and instantly trigger an AI agent or ERP workflow — classifying support emails, extracting orders from correspondence, or processing documents or images.
THE RESULT
One click in the inbox, no detour to the ERP system — the integration processes orders, tickets, and documents while you keep working in Outlook.
AI ORCHESTRATION
Document analysis
Data extraction
Agent decision-making
App or ERP update
Managed Control
Manage roles, permissions, and deployment centrally for every app and environment — from 10 to 10,000 users.
Reporting & Logging
Live dashboards for usage and process insights, with detailed logs for every action on the platform.
Audit Trail
Every change and agent action is timestamped and traceable — ready for compliance and auditing.