AI Consulting · Readiness · Pilot · Delivery
AI Consulting for Companies – From Audit to Delivery.
Trixner digital solutions assesses AI ideas, data foundations and processes, develops controlled pilots and delivers custom AI systems. You start with the service that matches your actual situation and next decision.
Assess use cases and processes.
Assess the data foundation and test value in practice.
Integrate AI systems and operate them with control.
Orientation
Invest in clarity first, and in technology only afterwards.
The starting point depends on your current situation: prioritise ideas, structure knowledge, assess processes, test a scenario or implement an already defined system.
Each service ends with a concrete outcome for the next decision, such as a prioritised roadmap, data map, pilot concept or usable first application.
Service Paths
Five starting points, depending on where your company is right now.
Service Model
From Decision Support to an Integrated AI Application.
Not every company starts at the same point. The services can be commissioned individually or combined as a sequence of connected steps.
Consulting
Clarify Priorities and Investment
The AI audit and quotation process assessment make value, data requirements, risks, dependencies and sensible next steps comparable.
Pilot Delivery
Test the Data Foundation and Quality in Practice
Data & AI Readiness prepares sources and ownership. A RAG pilot then tests a clearly scoped knowledge domain against measurable criteria.
Delivery
Integrate AI Functions into Business Processes
Custom AI system development combines the interface, data, rules, roles, integrations and controlled AI components into a usable application.
Project Agreement
Scope, client involvement, timeline and costs are defined before work begins.
After the discovery call, you receive a defined proposal describing the questions to be answered, required client roles, delivered outcomes and the planned timeline and budget.
Initial planning range: Audits and assessments are initially planned around one to three structured sessions with management, process owners and, where relevant, IT. Pilots and implementations receive their own documented timeline and cost frame after the initial assessment.
Scope
What Is Included
The process, knowledge area, systems and open decisions are clearly scoped. Extensions are made only by mutual agreement.
Client Involvement
Who Is Needed
Depending on the topic, process owners, selected business users and IT are involved deliberately, rather than the entire organisation.
Handover
What You Receive
Outcomes, assumptions, risks and recommendations are documented so that the next management decision remains transparent.
Decision support
Which statement best describes your situation?
These starting situations lead directly to the appropriate service. If several apply, we determine the most useful sequence in the discovery call.
Unclear starting point
AI Audit
When many ideas are on the table, but priority, data, and benefit are still unclear.
Distributed or unclear knowledge
Data & AI Readiness
If data channels, quality, rights, and responsibilities must first be systematically clarified.
Operating pressure
Quotation Process Assessment
When technical enquiries consume time and a focused pilot needs sound preparation.
Viable knowledge base
RAG Pilot
When sources and responsibilities are sufficiently clarified and a focused area of knowledge can be practically tested.
Defined Business Process
AI System Development
When users, the core task, data access and required functions are sufficiently defined and an integrated application is the goal.
Collaboration
Each phase creates a clear decision for the next.
01
Initial Assessment
Create a shared view of the business objective, urgency, systems and data.
02
Database
Make dependencies, quality, rights, responsibilities and risks visible.
03
Pilot
Build a focused first solution using real questions, data and pre-agreed evaluation criteria.
04
Integration
Document the findings and decide whether to expand, integrate or stop deliberately.
For decision-makers
For management, the next sound decision matters more than the demo.
Business value, data, integration effort, risks and responsibilities are therefore assessed together. The technical solution follows from this assessment, not the other way around.
The scope is clearly defined before work begins. This keeps the initial investment manageable and creates a sound basis for further budgets.
Frequently Asked Questions
Frequently Asked Questions about AI Consulting and Delivery.
Which AI Consulting Service Fits Our Situation?
If use cases and priorities are unclear, start with the AI audit. The quotation process assessment fits a specific technical enquiry and quotation process. Data & AI Readiness or a RAG pilot are the appropriate starting points for knowledge systems.
What Is the Difference between an AI Audit and a Quotation Process Assessment?
The AI audit compares several potential AI use cases and derives a roadmap. The quotation process assessment examines 3–5 real technical enquiries and determines which steps should be supported through process clarification, rules, integration or AI.
When Can a RAG Pilot Start?
When a clear business task, representative documents, expert test questions and responsible stakeholders are available. If these prerequisites are missing, Data & AI Readiness establishes the necessary foundation first.
Does Trixner Also Handle Technical Delivery?
Yes. Once the scope is defined, Trixner digital solutions develops custom business applications, RAG interfaces, workflows and focused AI functions and connects them to existing data and systems.
Next Step
Find the right starting point in 30 minutes.
We clarify the pending decision and the outcome you need. This determines whether the right start is an AI audit, Data & AI Readiness, quotation process assessment, RAG pilot or system development.