Tell me about a challange you had?
Situation:
* Research suggests that there is a blue otcian for advanced AI solution in the online gambling and that the VIP players account for 80% of the revenue.
* The challenge was to create a dive deep that will provide me validation for by find a tangible use case based on real data
Task:
* My role was to craft and execute a strategic problem-scoping process that not only engaged industry executives but also converted these engagements into actionable insights and potential business opportunities.
* The overarching goal was to secure paid design partnerships by demonstrating the tangible benefits of our AI solutions directly to decision-makers in the industry.
Action:
Broad brush exploration - engage with C-levels of the players in the industry
- Recruiting an “AI Journalist”: To engage with industry executives in the iGaming sector, we took a unique approach. We recruited a marketing junior and transformed them into an “AI journalist”
- **Conference Engagement and Interview Booth Setup: **
* strategy was actively participating in iGaming conferences, with Sigma being one of our primary events. We set up interview booths with ring lights, video equipment, and microphones.
- In our quest to maintain high engagement levels, we partnered with a startup specializing in plug-and-play video editing (later also podcasting editing).
- Interviewees were informed that participating made them eligible for a meeting with an AI architect (current partner, then a paid consultant)
- **Evolving the AI Journalist Role into Podcasting - **
* After I identify my target company - online casino platform I crated a new plan for my “AI journalist” - to create a “friend pilpline” that to target qualified companies and create deep engagement.
- Inspired by formats like Joe Rogan’s, this podcast shifted the focus from technical or marketing topics to more personal and in-depth conversations.
- It allowed us to explore the individual stories and experiences of the industry’s top professionals.
Dive Deep with qualified companies (Moving from exploration to validation)
1. Deep Dive into the Company’s Ecosystem with 3 qualified companies - After establishing initial connections, educated from our and identifying potential champions and stakeholders and the general zoom-out AI capabilities for each
2.** Decision-Maker Engagement and On-Site Discovery** - with the ultimate decision-makers through carefully planned meetings and on-site discovery sessions. Overall, we have more than 150 documented hours of problem scoping with C-levels.
- Shaping the offering and start a sales process for a paid design partnership contract - Armed with the pain points, our positioning as AI domain experts, and our stage in the journey (no product, in fact not a single code line), we offered a design partnership agreement to identify top 5% depositors and early stage and suggested business cases for this prediction and future AI use cases.
Results:
* sign paid design partnership with top 5 players in the industry (develop everything in house)
* Develop Beta based on real region data for predect the top 5% top depositors in early stages
* Identify 2 scope business use cases (based on recall / precision)
* Secured a second paid design partnership contract of €12K monthly fee for 8 months (started last month)
Describe a sucsuss
**Situation:
**
- As an Account Manager Sales Executive at Systematics, I was in charge on promoting the adoption of the Esri GIS platform within local municipalitie vertical.
- The position had seen high turnover, with three previous sales managers being terminated, reflecting instability and challenges in achieving sales targets.
- Despite Systematics’ success in other sectors like the military (with revenues around $5M), the top revenue from the municipality vertical had stagnated at $450K.
Taks
- My task was to increase adoption of the platform services by the GIS users withing the local municipalities thus increase revenue from licenses.
Action
I crafted a targeted go-to-market strategy for local government to boost the utilization:
- Desired adoption benchmark, current adoption status, market challnges
Research global use cases
Map license -> capability -> implementation
Map current adoption
Current clients license -> capability -> implementation
**Map the gaps and challanges **:
* GIS regulation - Ministry of Interior
* GIS department - Engineering
* GIS expert - Are act as the GIS server for internal depatrmets, Luck of training, being
- Create a go-to-market plan
- Implement and scale
