For Business

Bringing the frontier of affective AI and LLM research to business practice.

Affectosphere Group works with decision-makers and practitioners in companies through training, talks, and consulting.

What we can do

As generative AI and LLMs enter day-to-day operations, businesses face new questions that go beyond accuracy alone — how to handle uncertainty, how to audit bias, what to delegate to AI and what to keep human. Affectosphere Group translates research insights from affective AI and LLM governance into decision-ready material that organizations can act on. Choose from three engagement forms — training, talks, or consulting — depending on where your organization stands.

Service menu

Three ways to work with us.

In-house training and workshops

We tailor topic and depth so that the same session can land for executives, managers, engineers, or compliance officers. Formats range from a single 90-minute workshop to multi-session series.

Sample themes

· Risk management in the LLM era (GDPR / EU AI Act primer)
· Design principles for adopting affective AI
· Using AI uncertainty in business decisions
· Drawing the line between content AI and user protection

Talks and keynotes

Industry conferences, internal events, association seminars, and public-sector expert panels. We adjust whether to present the research frontier as it is or to distill it into business implications, depending on your audience.

Strongest angles

· Social implementation and ethical boundaries of affective AI
· New biases produced by LLMs and the practice of auditing
· AI for Science — cross-disciplinary use cases
· Ways of working and well-being in the generative AI era

Consulting

We accompany teams from the design phase of AI adoption in products or processes — from AI strategy direction, product-spec validation, risk assessment, to governance setup — adjusting engagement to your stage. Monthly retainers and per-project models are both possible.

Common topics

· Design, requirements, and third-party review of AI products
· Internal AI governance and ethics guidelines
· Dataset design and bias-audit framework
· AI strategy for R&D organizations

On pricing

Estimated based on content, scale, and duration

Fees vary with theme, audience size, frequency, preparation time, and required deliverables. Please start with a free 30-minute online consultation so we can align on the challenge and direction. We will then provide a tailored quote. For research collaboration, see also our AI for Science page.

Initial online consultation

Free (30 min)

Share your challenge and aims. We will discuss whether training, talks, or consulting fits best — or whether a different form would serve you better.

Engagement

Quote on request

After the initial consultation, we provide a written quote and contract. Billing and contracts follow Kansai University's established procedures.