Case Studies
AlgoSec, the Israel National Digital Agency, and a national government authority.
Global cybersecurity company · ~550 employees · from November 2025, ongoing
AlgoSec: from an AI policy to 25 solutions demoed to the CEO
Our AI journey is already underway, and the best is still ahead. Thank you ApplAI for your partnership.
AI at AlgoSec is no longer a slide deck. It's becoming part of how we work... The methodology was theirs, the results are ours.
Starting point
Employees were already using AI tools, each in their own way. Leadership had three questions: what is allowed, where the investment is justified, and how individual experiments become the way a whole company works, at the security standard of a cybersecurity firm.
What we did
Assessment and policy
December 2025. Department interviews, a maturity and skills-gap map across seven units, and an AI usage policy written with InfoSec and Legal, including an exceptions policy and a communication plan for employees and managers.
An acceleration plan approved by leadership
January 2026. A multi-phase plan with goals and metrics for training, tools, policy and the internal layer of change leaders.
Champions program and a live showcase
Q1 2026. 39 employees from every department learned the methodology, identified more than 50 use cases from their own work and built about 25 solutions, demoed live to the CEO and senior leadership in April. 34 initiatives in active tracking, each with an owner and a status.
Company-wide training and ongoing partnership
By June 2026, five foundation sessions for about 550 employees and role-based training for QA, product, security under OWASP, solution architects and sales. A business review in August 2026, and a program that runs into 2027.
Results
certified champions
Across every department, including technical support, sales and R&D.
solutions built
By the champions, and demoed live to the CEO and senior leadership.
employees trained
Five foundation sessions, completed by June 2026.
Example: a support agent
A support engineer built an agent that cross-checks a customer file against the product documentation and the incident history, and produces a ready report in minutes. Before that it was a manual search across four systems.
Related services: Strategic consulting AI Leaders program Workshops Ongoing partnership
Israel National Digital Agency · July 2026 · in partnership with Lotem
National Digital Agency: 10 teams, 10 challenges from the field, one day
10 challenges from the field became 10 opportunities to create change... Adopting AI in an organization is first and foremost about leading organizational, cultural and human change.
Starting point
The agency was running an organization-wide AI adoption process and wanted a peak event that brings employees, managers and leadership together around problems from daily work, with results that keep running inside the organization after the day ends.
What we did
Manager workshops before the event
What changes in the core of the management role, and what that looks like at work. Every manager built an agent themselves.
Collecting the challenges and preparing
Employees surfaced needs from the field, distilled into 10 challenges: rapid mockups for requirements work, automatic documentation of architecture decisions from chats and emails, and an internal knowledge assistant for procedures and documents. Prep sessions with the teams, an agent planning form from problem definition to prototype, and alignment of tools and permissions with the agency's IT.
Hackathon day
We planned and ran the hackathon day from start to finish: team preparation, mentoring during the event, facilitation and a keynote, judging criteria and a scoring system, briefing the judges and the internal support teams, and more.
Results
employees and managers
In ten teams, drawn from different units across the agency.
solutions in the final round
Each team presented a solution to a challenge from its own work.
mentors, judges and producers
Supported the ten teams from preparation through the final round.
What stayed after the day
The agency publicly described the hackathon as one of the peak events in its organization-wide AI adoption process, and the results stayed with the teams that built them.
Related services: Leading in the AI Era Workshops
National government authority · service division · May to October 2025
National government authority: an AI service strategy, from assessment to work plan
Starting point
The authority's steering committee had set a direction toward customer-centered service. The service division's leadership had to decide where AI changes the service, what can be implemented in a secure government environment, and in what order, before budgeting and before going to tender. The future service concept was led by a strategy consulting firm, and we led the AI components: the assessment, the analysis, the solution concept and the roadmap.
What we did
Current-state assessment
May to June 2025. Observations in the service centers, analysis of inquiry data and call types, mapping of customer journeys and where the data lives, interviews with managers and employees, and an AI readiness assessment. The authority's IT unit was part of it from day one.
Opportunity-mapping workshop with division leadership
July 2025. Consolidating the findings, tying each solution to the service vision, prioritizing by value and complexity, and validating technical complexity with IT.
An AI-based service concept and roadmap
Three focus areas: information access for agents and the public, phone service, and autonomous and proactive service. About 20 use cases, each with its value, complexity and dependencies, and a four-phase roadmap from quick wins on general information to agents acting against core systems, including a steering committee with IT, knowledge management, measurement, training and an internal community.
Short-term steps
A team and scope for a first pilot, a joint work plan with IT, an approved GenAI architecture in the government cloud, and a first RAG solution on the authority's documents.
Results
prioritized use cases
By value and complexity, validated with IT.
phases in the roadmap
With defined first steps for the coming work year.
months from kickoff to an approved map
Through to sign-off in the steering committee.
What it changed
AI was defined as a core component of the authority's service vision and built into its work plans. The decision on implementation order was made before budgeting and before going to tender.
Related services: Strategic consulting Evaluation and tool selection
Before ApplAI
We led AI adoption inside an organization of over 100,000 employees, where the budget, the accountability and the result were ours.
Amit Perry
Senior Director, AI for Sales and Marketing, Intel
From 2020 to 2024 he led AI initiatives that delivered over $100M in incremental revenue, including the Sales AI platform covered by VentureBeat and a generative AI chatbot for technical sellers. Earlier he ran Intel's global network operations with teams in 20 countries.
Shahar Shpigelman
LLM strategy lead, Intel
Built the internal RAG-based chatbot and agents that made tens of thousands of documents accessible to the global R&D and sales organizations: 10 to 15 percent time savings for teams, and over one million queries a year.
Next step
Tell us what is on the table, and we will say plainly whether we have something to contribute.
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