Hands-on sessions.
Working through real use cases together with teams.
Let's talk
digital
Three ways I turn that into impact: technology, sales, and communication working together, not in isolation.
Making complex AI topics land with any audience.
Keynotes, workshops, and content that turn dense technical topics into stories both technical and non-technical audiences understand.
Turning AI strategy into systems people actually use.
From the first use-case workshop to a live rollout - connecting business goals with AI that ships, not just pilots.
Enterprise deals, from first conversation to signed contract.
Selling complex AI and software solutions to enterprise buyers - navigating stakeholders and long sales cycles without losing momentum.
I create video content and presentations that actually get watched - clips and talks that set the bar for reach and engagement, not just check a box. I'm at my best turning dense, technical topics into stories that land with any audience, from engineers to executives. The goal is always the same: content people remember, not just consume.
Working through real use cases together with teams.
Speaking to enterprise audiences about practical AI.
Clips and demos that make complex ideas stick.
Sharing perspective alongside industry leaders.
I guide AI initiatives from first idea to daily use - discovery, design, a small proof that it works, real implementation, and scaling what's proven. No two companies get the same playbook; the steps stay, the plan adapts.
Finding where AI can genuinely help - and being honest about where it can't, yet.
A company where contracts, specs, and decisions live scattered across five different systems, and nobody can find anything fast.
Clarity on what's worth pursuing first, and why.
Turning an idea into a concrete plan - what gets built, who owns it, and how success gets measured.
Deciding which systems to connect first, who needs access, and what "found in seconds, not hours" looks like in practice.
A scoped plan with clear ownership, before a line of code gets written.
Testing the idea on real data, at small scale, before committing real budget.
A working prototype that searches across two of the five systems - enough to show whether the approach holds up.
A go or no-go decision backed by a real test, not a hunch.
Turning a validated idea into something a team actually uses, day to day.
A different case: a service team drowning in repetitive requests gets an AI assistant that drafts a first response, so people review and send instead of writing from scratch.
A tool people actually keep using after the launch excitement fades.
Taking what works and expanding it - to more teams, more use cases, more of the business.
The same platform or assistant, rolled out to the next team, with the lessons from round one built in.
Measurable, growing impact - not a pilot that quietly stalls.
Official certifications and real-world skills - proven through hands-on AI sales, technical scoping, and customer advisory work.
Confirms AI advisor skills for use-case discovery, qualification, and customer decision support.
Verify credential
Validates AI sales skills across customer discovery, workload translation, and solution recommendation.
Verify credential
Covers technical sales guidance, solution fit, customer concerns, and proof-of-concept execution.
Verify credentialA compact overview of roles, companies, and the business impact behind each step.
Selling and shipping AI, from the first workshop to a live deployment.
Identify high-value AI opportunities with clients and design the solution that fits - not a generic template.
Delivered production AI assistants, knowledge platforms, and autonomous agents - systems teams actually run, not pilots that stall.
Taking a young knowledge-tech product into new markets.
Built direct sales and channel partnerships to bring keeeb's technology to new customers.
Established the company's presence across Europe and North America - the early deals and partnerships behind that growth.
EMEA & US
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