Who
Technology is rarely the bottleneck.
Organizational adoption is.
Over the past three decades, we’ve lived through one “revolution” after another: the Internet, Mobile, Cloud, and now AI. The technology keeps changing. The reasons projects succeed or fail barely do.
For more than 25 years, I’ve deployed and sold enterprise software, from telecom operators to the world’s largest enterprises, working directly with customers and through alliances and channel partners.
Long enough to know that most “AI strategy” problems won’t be solved with a few PowerPoint slides. They require the harder work of redesigning processes, aligning people, changing behaviors, and delivering measurable business value.
That’s where I focus. Not on the next AI demo, but on helping organizations turn AI into measurable business outcomes.

Who
Olivier Miss.
Independent advisor on sales execution, operational discipline, and the uncomfortable gap between AI promises and operational reality. Helping companies identify where AI drives measurable impact, and where it simply creates more meetings, dashboards, and expensive confusion.
Background
Operational reality.
Not a case study.
Where
Real operational environments
Quotas, QBRs, deal reviews, escalations, partner negotiations, board updates. The work — not the slides about the work.
What
Enterprise software, telecom, and cloud.
25+ years navigating large accounts, indirect sales, channel ecosystems, cloud transitions, and the operational chaos hidden behind “strategic transformation” initiatives.
How
Technology and sales execution
Fluent in both the product conversation and the commercial one. Most failures live in the seam between them.
What I have learned
The uncomfortable
part.
- 01
Most organizations do not fail because of missing AI. They fail because their operational foundations are weak.
- 02
AI amplifies existing organizational maturity — including dysfunction. Most companies try to automate chaos instead of fixing the basics.
- 03
CRM dashboards are often disconnected from reality. Forecasts are optimistic fiction dressed up as data.
- 04
Partner ecosystems fail when partners cannot make money. AI SDRs generate noise when qualification is broken.
A short list
Things I do not believe in.
- ×
AI replacing all salespeople next quarter.
- ×
Digital transformation PowerPoint theater.
- ×
Forecast accuracy achieved through optimism.
- ×
42 KPIs nobody reads.
- ×
CRM dashboards mistaken for management.
- ×
AI agents fixing broken qualification processes.
- ×
Consultants who never carried a quota.
In one sentence
AI does not fix broken sales organizations.
It amplifies chaos at machine speed.