Existing systems do not cover every handover
ERP, CRM, Excel, email, portals, document stores, and approval steps each hold part of the work.
AI implementation for business processes
From AI idea to working process solution.
Gavenir is the process-first AI implementation partner for companies that need AI to work inside daily operations, across ERP systems, documents, teams, and approvals.
The problem
AI creates value when it supports the process.
Many companies already have ERP systems, document management, spreadsheets, portals, approval tools, and business applications. Even with this operating landscape, work still gets stuck between systems, documents, teams, approvals, and decisions.
Manual preparation slows decisions
Teams read documents, prepare data, compare information, flag issues, and create structured outputs by hand.
The right start is one defined process
A useful AI project starts with clear inputs, outputs, owners, review steps, system touchpoints, and business value.
Better starting point Use AI where it can prepare the next process step, not where it becomes another isolated tool.
References
Productive solutions since 2021, built on 20 years of experience.
Gavenir combines process, software, ERP, integration, and AI implementation experience for companies that need solutions to work in daily operations.
2021 Delivering productive solutions since 2021.
20 yrs Industrial operations, process improvement, and implementation experience.
Global Liechtenstein-based, working with international companies.
Implementation proof A Liechtenstein-based partner for process, software, ERP, integration, and AI implementation.
Experience from operational programs where process design, integration work, and adoption had to hold together in business environments.
Implementation experience
Global rollout experience Delivered digital transformation work across 70 locations and international business teams.
Large operational teams Standardized digital ways of working for 500+ professionals in complex operational environments.
Complex ERP landscapes Built ERP-integrated data and process platforms across 16 ERP systems, including SAP and Microsoft Dynamics.
From strategy to adoption 20+ global rollouts and SAP integrations, connecting strategy, delivery, and adoption across enterprise environments.
Trusted by international companies. 
About us
Gavenir brings process, software, and AI implementation together.
We work with companies that need AI to support business processes, existing systems, and the handovers between teams.
We start with the process: what repeats, where work gets stuck, which systems are involved, who needs to review decisions, and what output the business actually needs.
From there, we design and implement AI-supported workflows that fit the customer's operations. Sometimes that means an AI Agent. Sometimes it means better process structure, integration, open tools, or a focused software layer around existing systems.
The goal is a process that works better in daily business.
Business process first
ERP and system context
Human review where it matters
Implementation through daily use
Gavenir approach
Process-first.Implementation-ready.Built for daily operations.
Gavenir combines process understanding, solution architecture, AI-supported workflow design, software implementation, and project leadership. The result is work that is process-led, technically grounded, and ready to implement.
Start with the process
Tool choices come after the process, owners, inputs, outputs, handovers, and review steps are clear.
Understand system context
ERP, documents, portals, spreadsheets, and business applications are treated as part of the process reality.
Challenge before building
The work tests process alignment, data quality, ownership, boundaries, and value before implementation effort grows.
Carry into implementation
Discovery and design are tied to prototypes, pilots, productive process use, rollout, and improvement.
Keep control with the customer
Permissions, hosting, model setup, review boundaries, and integration depth are chosen around customer requirements.
Technology
AI-supported workflows for business processes.
Gavenir builds focused AI solutions for recurring operational work where information needs to be read, structured, reviewed, routed, exported, or handed over to another system or person, so teams can improve efficiency without losing process control.
Dynamics 365
Technical foundation for ERP-connected AI.
A core Gavenir competence is connecting AI-supported process work with ERP environments, including SAP integrations where the process requires structured data exchange, system handover, and controlled review.
ERP SAP and other existing business systems
Data Structured outputs and validation
Handover Documents, teams, approvals, and tools
Control Human review before system action
How to start
Take the first step toward AI implementation.
Some companies have a clear process they want to improve. Others know AI could help, but first need to identify the right process and practical scope.
01
AI opportunity workshop
Use a structured entry point to identify where AI could create value in process work.
02
AI use-case discovery
Separate useful AI opportunities from generic ideas by looking at process pain, systems, documents, and stakeholders.
03
Process and solution design
Map inputs, outputs, review steps, access boundaries, ownership, and the implementation approach.
04
AI Agent prototype / pilot
Build a focused pilot for one concrete process to test feasibility, value, and internal fit.
05
Implementation and integration
Move from prototype to productive use with controlled access, review logic, and integration where useful.
06
AI leadership and advisory
Support leaders and teams with realistic adoption, stakeholder alignment, and implementation decisions.
Use cases
Selected AI use cases for business processes.
Use cases are strongest where recurring work depends on documents, data preparation, manual checks, approvals, or handovers between people and systems.
Procurement workflows
Supplier offers, purchase requisitions, purchase orders, and procurement documents often create manual work between documents, buyers, approvals, and ERP systems.
AI can help read documents, prepare structured data, flag inconsistencies, support reviews, and prepare ERP-ready outputs.
5-10 min From quote upload to reviewed, ERP-ready purchase requisition data.
1 UploadSupplier offers or purchasing documents enter a defined workflow.
2 AnalyzeRelevant suppliers, line items, prices, dates, and anomalies are extracted.
3 ReviewUsers compare, refine, ask questions, and approve the structured result.
4 ExportPurchase requisition data or another ERP-ready output is prepared.
Cross-system process handovers
Many processes break down between ERP, CRM, Excel, portals, email, document systems, and approval steps.
AI-supported workflows can prepare information, structure handovers, coordinate review steps, and help teams move work from one system or person to the next.
1 CollectInformation comes from the systems and documents already used by the team.
2 StructureThe workflow prepares a shared view of missing inputs, context, and next steps.
3 CoordinateReview steps and handovers are routed to the right person or system boundary.
4 Hand overThe next process step receives usable, reviewed information.
Document checks and internal reviews
Contracts, policies, supplier documents, technical files, and internal submissions often need structured checks before a decision can be made.
AI can prepare comparisons, detect missing information, flag risks, and create review-ready outputs for human approval.
1 ReceiveDocuments and process data enter a controlled review workflow.
2 CheckThe AI flags missing information, inconsistencies, and required follow-ups.
3 PrepareStructured summaries and comparisons are created for review.
4 ApprovePeople make the decision before the result moves forward.
Searchable document archives
Many companies have valuable knowledge in files, folders, PDFs, SharePoint, email, and legacy archives.
AI can help make this information searchable, answerable, and useful while keeping permissions, source references, and access boundaries clear.
90% Savings potential by processing documents once, then reusing the structured archive across search and AI-supported workflows.
1 IngestFiles, folders, PDFs, and source locations are collected into a controlled scope.
2 StructureMetadata, source references, permissions, and useful content are prepared.
3 IndexSearch and question-answering become available with source boundaries.
4 ReuseThe archive can support later review, process, or AI-supported workflows.
Implementation strategy
A process-first implementation strategy for AI.
Gavenir does not start by forcing a tool into your organization. The work starts with the business process, the people involved, the information needed, and the systems already in place.
Discover the opportunity
Identify the process opportunity, its pain, value, systems, documents, stakeholders, and handovers.
Define the solution
Map inputs, outputs, decisions, review steps, access boundaries, and technical approach.
Build and test
Create a focused prototype or pilot that shows whether the process can be improved with AI.
Implement and improve
Move from prototype to productive use with controlled access, human review, useful integration, and iteration.
Control and architecture
Keep what works. Improve what is missing.
AI should support the process without taking uncontrolled access. Gavenir designs AI-supported workflows with clear boundaries: what AI can read, what it can prepare, what it can change, and where human review is required.
Read and Explain
The agent reads documents or process data and provides structured information. This is a controlled starting point for teams that need clarity before changing the process.
Human review for critical steps
Controlled access to data and systems
IT involvement before productive use
Existing systems stay where they make sense
ERP, document management, portals, spreadsheets, and business applications remain part of the operating landscape.
Open tools where they create flexibility
Open tools are used as a control and portability option when they fit the customer's technical and commercial requirements.
Model setup follows the requirement
Managed, customer-provided, local, or hybrid AI setups can be chosen around data sensitivity, cost, performance, and control.
Ready to explore where AI can help?
If your team spends time reading documents, preparing data, checking information, coordinating reviews, or moving work between systems, Gavenir can help you assess where AI could create value and what a realistic implementation could look like.