Use-case discovery
Separate useful AI opportunities from generic ideas by understanding process pain, documents, systems, data, and stakeholders.
AI solutions for business impact
Turn AI ideas into working process solutions.
Gavenir helps companies identify AI use cases, design the right business process, and implement working AI solutions and AI Agents where they create real value.
One workflowStart with a concrete recurring process.
Human reviewKeep control where decisions matter.
Existing systemsImprove work around the tools already in place.
The problem
AI becomes useful when it is connected to real work.
Many companies already know where their processes are slow. They have ERP systems, workflow tools, document management, spreadsheets, portals, and other business applications, but the work still gets stuck between systems, teams, documents, and decisions.
The usual answer is to wait for existing tools to solve it, buy another large platform, or add AI as a separate new tool. Often the better starting point is more focused: keep the systems that are already there and improve the workflow around the process.
AI can help where existing tools do not: reading documents, preparing data, comparing information, flagging issues, supporting decisions, and creating structured outputs that can be reviewed and used in the tools the company already works with.
What Gavenir does
We turn AI ideas into process solutions.
Gavenir helps companies find where AI can create value in existing business processes and turn those opportunities into working solutions.
Workflow design
Define inputs, outputs, review steps, ownership, access boundaries, and technical solution approach before implementation starts.
Implementation
Build AI-supported workflows and AI Agents that read, structure, prepare, route, support, and export work inside defined boundaries.
Experience
Built on real process and implementation experience.
Gavenir combines AI implementation with years of experience in business processes, software projects, procurement, supply chain, and operational data.
Before
Manual reading, checking, and data preparation.
Work spread across ERP, email, documents, portals, and spreadsheets.
Handover errors and unclear ownership between business and IT.
With Gavenir
Workflow logic, human review, and structured outputs.
AI support connected to the process instead of isolated chat experiments.
Implementation path from pilot to productive use.
Built on real process and implementation experience.
Customer projects Process improvement Software implementation Procurement experience Business and IT
Services
From AI discovery to implementation and advisory.
Companies come to Gavenir at different stages. Some are still looking for the right AI use cases. Others already know the process they want to improve.
01
AI use-case discovery
Identify where AI can create value in existing business processes.
02
Process and solution design
Map workflows, review steps, access boundaries, ownership, and solution approach.
03
AI Agent prototype
Build a focused pilot for one concrete workflow to test feasibility and value.
04
Implementation and integration
Move from prototype to productive use with controlled access and integration where useful.
05
Leadership and advisory
Support leaders and teams with realistic AI adoption and implementation decisions.
Use cases
Selected AI use cases for business processes.
Start with recurring process work where documents, manual checks, data preparation, or system handovers slow down operations.
Turn supplier offers into structured process outputs.
Supplier offers, purchase requisitions, purchase orders, and procurement documents often create manual work between documents, buyers, approvals, and ERP systems.
AI can help read supplier offers, compare information, prepare structured outputs, support review steps, and create purchase requisition data for the next process step.
1UploadSupplier offers or documents enter the workflow.
2AnalyzeRelevant suppliers, line items, prices, dates, and anomalies are extracted.
3ReviewUsers compare, refine, ask questions, and approve the structured result.
4ExportPurchase requisition data or another reviewed process output is prepared.
Make document archives searchable once, not repeatedly processed.
Many companies have large document archives, but finding the right information is slow, inconsistent, and expensive when every request requires manual searching or repeated AI processing.
Documents can be processed and structured once, indexed for semantic search, and made available for fast search, question answering, review support, or future AI Agent tasks.
1IngestDocuments, forms, and attachments are collected into a controlled scope.
2StructureMetadata and content are extracted once for reuse.
3IndexSemantic search makes the archive usable for questions and review support.
4ReuseFuture AI tasks can use the structured archive without repeated full processing.
Support onboarding, document checks, and internal reviews.
Banks, financial services teams, and other process-heavy departments often need controlled AI support for submitted documents, checks, approvals, master data, and handovers.
The workflow can start with AI reading and preparing outputs, while people review critical steps and IT validates access, integration, and governance.
1CollectSubmitted documents and process data enter a defined review workflow.
2CheckThe AI flags missing information, inconsistencies, and required follow-ups.
3PrepareStructured summaries and process data are prepared for internal review.
4Hand overApproved information moves to the next person, system, or review step.
Implementation path
Start with the process. Then build the AI around it.
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
Understand the process, pain points, manual work, documents, data, systems, and stakeholders.
Define the solution
Clarify target process, required outputs, review steps, AI role, system touchpoints, and scope.
Build and test
Create a prototype or pilot, then test AI output quality, review logic, user interaction, and process fit.
Implement and improve
Move into productive use with controlled access, human review, integration where useful, and ongoing improvement.
Governance
AI Agents should earn responsibility step by step.
Not every AI solution needs full automation. Start with assistance and review before moving toward selected execution where process, data, and governance are ready.
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
AI should support the process without taking uncontrolled access.
Gavenir designs AI-supported processes with clear boundaries from the start: what the AI can read, what it can prepare, what it can change, and where human review is required.
Many implementations can start with controlled documents, structured outputs, review steps, and limited integration before deeper system access is considered.
Human in the loop for critical steps Controlled access to documents, data, and systems Limited integration first where appropriate Clear permissions, traceability, and IT involvement
Managed AI Bring your own model Local AI model Hybrid mix
Have a business process where AI could 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.