GENELLIPSE / DISCUSSION CORNER
Perspectives that
move business
forward.
Ideas worth examining. Decisions worth improving. A shared space for the people shaping responsible transformation.
Explore the journalsCHOOSE YOUR PERSPECTIVE
Depth in each discipline.
Connections between them.
Business issues, illustrative scenarios, action guides and measures that help turn a discussion into a better decision.
03 / Monthly
Data & AI Corner
Data quality, engineering, analytics and responsible AI adoption, grounded in the decisions your business needs to make.
04 / Monthly
Transformation Corner
Practical perspectives on legacy systems, cloud, integration and the operating changes that make modernization valuable.
05 / Monthly
Responsible AI & Governance Corner
Clear authority, meaningful human oversight and evidence that supports responsible use of AI across the organization.
06 / Monthly
Insurance Innovation Corner
Insurance operations, policyholder experience and the technology that connects underwriting, administration, claims and reinsurance.
07 / Monthly
Leadership & People Corner
Leading change with people: skills, inclusion, professional judgment and meaningful opportunity in an AI-enabled workplace.
08 / Monthly
CFO & Business Value Corner
Technology economics, investment decisions and measurable transformation outcomes for finance and business leaders.
09 / Monthly
Enterprise Resilience Corner
Critical services, supplier dependencies, recovery and the decisions that keep organizations operating through disruption.
10 / Monthly
Customer & Growth Corner
Customer journeys, service quality, responsible personalization and the operating choices behind lasting customer relationships.
Original AI-generated editorial scenes. People and settings are illustrative.
EXPLORE BY BUSINESS CHALLENGE
Start with the issue your business is facing.
Explore technology, finance, resilience, customer relationships and the people behind business change. Different disciplines, connected decisions.
28 matching discussions
Your AI investment needs a business case that survives the finance meeting
Connect ambition to the cost, quality and adoption evidence behind it.
Your AI problem may be a data operating-model problem
Before changing the model, examine how information is defined, delivered and owned.
Automating tasks is easier than redesigning responsibility
The human operating model determines whether AI assistance becomes lasting value.
When an AI agent makes a business decision, who owns the outcome?
Accountability must be designed into the workflow before autonomy expands.
An AI agent needs authority limits, not just a useful goal
Govern the action before scaling autonomous work.
Enterprise AI needs evidence it is allowed to use
Design retrieval around authority, freshness and the ability to challenge an answer.
Measure the whole insurance case, not the AI task
A faster step matters only if the journey improves.
Rehearse the AI incident before the real one
Prepare to contain incorrect actions, not only unavailable systems.
MCP integration needs the same discipline as any business interface
Give agents useful tools without giving them uncontrolled authority.
An insurance illustration should make assumptions understandable
Improve the conversation without confusing a projection with a promise.
Governance evidence should show what actually happened
Move beyond policies and screenshots to usable operating records.
An agentic workflow needs change control
Treat prompts, tools and evidence sources as part of the operating system.
THE FOUNDER’S PERSPECTIVE
Keep the CEO conversation going.
CEO Corner remains its own journal, with Abdollah Dehnashi’s perspectives and book reviews.