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Services · Agentic AI advisory

Advisory: how to implement agentic AI in your processes.

FlairBit's agentic AI advisory is a journey that helps companies understand where AI agents create real value in their processes and how to integrate them — even in legacy systems. Unlike pure consulting, we don't stop at strategy: with the Stratum AI platform we build and deploy the solutions we design. A single journey from process analysis to concrete operation, without the gap between «who advises» and «who builds».

Which agentsIn which processesWith which return

The problem

Agentic AI promises a lot.
The hard part is knowing where it really helps.

By 2026 almost every company has «tried AI»: ChatGPT licences handed out to departments, a few chatbots, isolated experiments. Yet in most cases the processes have stayed exactly the same. The gap is no longer between those who have AI and those who don't, but between those who turned it into results and those who left it as a scattered, underused tool.

AI agents — systems able to carry out tasks autonomously, orchestrating models and data to reach a goal — amplify both the potential and the confusion. Without guidance, the risk is investing in trendy technology instead of the use cases that actually move a business result.

What we offer

A journey that starts from your processes, not from technology.

FlairBit works alongside executives and technical teams to answer three concrete questions: which agents are needed, in which processes, with what expected return. Then we build and integrate the solutions — even into systems you've used for twenty years.

Our advantage over a consulting-only firm is simple: after the analysis we don't leave you with a document. With the Stratum AI platform we build the agents, integrate them with your data and applications and take them to production.

Which agents are needed01
In which processes02
With what expected return03
Three questions→ in production with Stratum AI

How we work

From «I don't know where to start» to running in production.

A three-step method: no «AI for fashion's sake», only the agents and workflows that move a measurable result.

STEP 01

Process and data assessment

Together we map the processes, data and systems you already have — legacy included. We identify where agentic AI creates real value and, just as importantly, where it doesn't.

STEP 02

Identifying and prioritising use cases

We select use cases based on expected return and feasibility, building a realistic adoption roadmap. Only the agents and workflows that move a measurable result.

STEP 03

Implementation and integration

We build the agents on Stratum AI and integrate them into your existing processes and applications, with a human in the loop where it matters. From idea to real operation.

Why FlairBit

Advisory and delivery under one roof.

01

We start from where you are

Integration

We integrate even with custom management software, dated ERPs and non-digitised processes. We don't ask you to redo everything before starting.

02

Multi-model GenAI, also private

Compliance

We use the right model for each task — cloud or privately hosted — with GDPR and AI Act compliance handled at the architecture level.

03

Agentic AI + traditional AI + your data

Orchestration

We orchestrate generative agents, machine learning models and heterogeneous data sources in a single layer.

04

Real process experience

Track record

Over 15 years working on industrial processes and an industrial partnership with Credemtel (Credem Group).

05

From analysis to production

Delivery

The same team that designs is the one that builds with Stratum AI.

Who it's for

Who this journey is for.

General management and C-level

They want to understand where to invest in AI with a clear return, not another initiative that stays on paper.

IT, R&D and innovation teams

They're looking for a partner able to integrate AI into real systems, not just recommend it in words.

Companies in regulated sectors

Finance, healthcare, manufacturing: with non-negotiable privacy, data sovereignty and compliance needs.

Typical results

What changes, concretely.

Examples measured on real FlairBit projects — claims attributable to documented cases, not showcase numbers.

Automotive components · Quoting

Technical-commercial quote in a fraction of the time

The agents assemble the quote from technical and commercial data; the operator validates and closes.

−75%preparation time
Dental supply · Customer service

Premium customer service with an AI copilot

Real-time AI support for the operator: premium-level service quality maintained.

Real-timeoperator assistance
Financial services · Reporting

Financial reports generated automatically

More frequent, standardised reports, scalable without growing the team's resources.

Scalablewithout new resources
See all case studies

The question isn't «which AI do we buy». It's «which process do we change first».

Frequently asked questions

Before you start.

What is agentic AI?

Agentic AI refers to artificial intelligence systems (agents) able to carry out tasks autonomously: they plan, use tools, orchestrate multiple models and data sources to reach a goal, with human supervision where needed.

What's the difference between a chatbot and an AI agent?

A chatbot answers questions. An AI agent takes actions: it reads documents, queries systems, executes process steps and produces a result. FlairBit's advisory helps identify which processes truly benefit from agents, not just chatbots.

Can I use agentic AI if I have old management systems?

Yes. FlairBit specialises in integrating AI solutions even with custom management software, dated ERPs and non-digitised processes, without rebuilding the infrastructure.

Does my data stay confidential?

Yes. Stratum AI uses multiple models, including privately hosted ones, so sensitive data never leaves the company perimeter. GDPR and AI Act compliance is handled at the architecture level.

How long before results show?

It depends on the use case, but the three-step method is designed to quickly identify the highest-return cases and take them to production, avoiding long projects with no outcome.

Let's talk

Half an hour on your processes is worth more than a thousand demos.