Too much manual knowledge work
Teams spend valuable time reading, interpreting, checking and moving information between systems.
From a stalled pilot, RAG application or agent to a reliable production system. IFDS combines Swiss senior accountability with global AI-native engineering capacity.
We focus on situations where knowledge, judgment and fragmented systems prevent traditional automation from going further.
Teams spend valuable time reading, interpreting, checking and moving information between systems.
Critical information is distributed across documents, applications, databases and individual experts.
Rules-based workflows break down when decisions require context, language, interpretation or changing information.
Promising experiments stall because integration, evaluation, security and operational ownership were never designed in.
We begin with the operational or strategic result that matters, then engineer the AI capability required to achieve it.
Automate repetitive knowledge work, document handling and multi-step processes that consume specialist time.
Bring relevant company knowledge, evidence and context to people at the moment decisions are made.
Encode repeatable reasoning, evaluations and controls into operational AI workflows.
Build products and services that were previously too complex or expensive to deliver economically.
Choose the smallest engagement that resolves the decision or delivery outcome at hand.
Choose a bounded assessment. Both create a practical, evidence-led next step without assuming a larger engagement.
Review an existing system's production readiness, or establish the exposure and opportunity baseline for ongoing AI oversight.
Discuss the right starting pointThe people defining the solution remain close to the architecture and implementation.
Integration, evaluation, security and operations are considered from the beginning.
Clients work with senior leadership responsible for delivery and business outcomes.
Specialist delivery capacity can expand around validated initiatives without changing the client relationship.
Identify the process, data, constraints and business metric that matter.
Define architecture, integrations, controls and measurable success criteria.
Build, evaluate, integrate and deploy the production capability.
Measure impact and expand proven capabilities across the organization.
The strongest opportunities often sit between documents, people, judgment and existing enterprise systems.
Understand, validate and route complex business documents.
Give teams secure access to relevant organizational knowledge.
Coordinate reasoning, tools and business systems across multi-step work.
Combine customer context, knowledge and automated next actions.
Gather context and evidence before important human decisions.
Create new customer-facing capabilities built around modern AI.
Bring us a process, operational bottleneck or business opportunity. We will help determine whether AI can create meaningful value and what it would take to put it into production.