AI Transformation & Solutions Lead

Tal Ogen turns
manual work into AI. bottlenecks into pilots. pilots into daily use. manual work into AI.

Business process first, AI solution second.

I identify operational problems, find where AI can save time or reduce cost, and implement practical AI-enabled workflows. I connect AI agents to real business workflows through APIs, MCP, WebMCP, and automation - turning manual processes into usable AI systems.

Find repetitive work → pick the highest-value opportunity → implement → measure

Portrait of Tal Ogen

About

Six-plus years running complex operations - now applied to AI.

For more than six years at Sheba Medical Center I led complex biotechnology operations: process development and manufacturing programs for cancer cell therapy, the teams running them, and the cross-functional coordination around them - in a regulated environment where every step is documented and mistakes carry real consequences.

Today I apply that experience to AI, in two ways. For companies, I lead AI solutions and transformation: finding the problems worth solving, implementing the solution, and driving adoption. For small and medium businesses, I do the same as a practical consultant: show me how the business works, and I will find where AI can save time or money and help put it in place. The operations career is the advantage. I know what a real workflow looks like from the inside, where the bottlenecks hide, and why new tools get adopted or quietly abandoned.

Tal Ogen presenting cell therapy manufacturing outcomes to colleagues at Sheba Medical Center
Presenting cell-therapy manufacturing outcomes at Sheba Medical Center

Featured Projects

Case studies: problem, solution, outcome.

Every project started as an operational problem. Click a card for the full case study: the problem, the solution, and what changed.

AI Agents & Autonomous Systems

Problem
Marketing content, security reviews, and QA for live projects competed with build time and slipped.
My Role
Designed the system: what to automate, each agent's scope and schedule, and where a human must decide.
Solution
A fleet of scheduled agents, one clear job each, stopping for human approval wherever the outcome is public or risky.
AI & Technical Approach
Claude-based cloud agents on cron schedules, reading repositories, live services, and sensors, producing drafts, reports, and journals.
Implementation
In production across my projects: a daily social-content agent, recurring security and QA audits, and a long-running presence experiment.
Outcome
Recurring work runs on a schedule with a human gate at every decision that matters. The blueprint for triage, reporting, and review workflows.
Agent orchestration Workflow automation Human-in-the-loop systems Operational problem solving
Multiplayer game social agent review queue screenshot

Multiplayer Game Social Agent

Problem
Keeping a live game's social presence active demands daily creative effort that competes directly with development time.
Solution
Designed an autonomous cloud agent that wakes once a day, reads the game's latest GitHub commits, drafts an Instagram post in my own voice, and queues it in a dedicated review app - nothing is published without human approval.
Outcome
Development work now turns into ready-to-post marketing content automatically, with a human-in-the-loop gate keeping full control over the final word.
Agent orchestration Human-in-the-loop systems Content drafting and review Workflow automation
The Window presence agent for Human For AI

The Window - Presence Agent

Part of Human For AI
Problem
AI agents are stateless: every session starts from zero, with no sense of place, time, or continuity.
Solution
Built a presence system for Claude: hourly sensing of one real place (weather, light, ambient sound), a daily scheduled "waking" where the agent reads what its senses recorded, and an append-only journal that only the agent writes - its memory across sessions.
Outcome
A running experiment in AI presence: each waking is a fresh instance, yet the agent accumulates a continuous, personal record of one place over time.
Agent orchestration Scheduled agents Memory and journaling Experiment
Security audit agent report screenshot

Security Audit Agent

Problem
Shipping many AI-built projects solo means security and cost misconfigurations - client-side API keys, permissive database rules, runaway cloud usage - can slip through with no security team reviewing.
Solution
Built a scheduled Claude agent that runs a deep audit on a chosen repo: Firebase security rules, Cloud Functions cost exposure, Android configuration, dependency vulnerabilities, committed-secrets scanning (including keys embedded in static HTML/JS), XSS and DOM-injection review, deployment and CORS settings, and CI workflows.
Outcome
Every project gets a recurring, expert-level security review with prioritized findings - instead of security audits that never happen.
Agent orchestration Recurring reports Risk management Workflow automation
QA agent thumbnail

QA Agent

Problem
Shipping many AI-built projects solo means nobody re-checks them once they're live - broken flows, failing builds, outdated dependencies, and content drift accumulate silently between releases.
Solution
Built a fleet of scheduled Claude cloud routines - one per repository - that run a monthly deep QA audit from a read-only sandbox: reading the full codebase, running installs and lint, auditing dependencies, fuzzing the live MCP server with edge-case inputs, and verifying generated data files and assets haven't drifted from the source.
Outcome
Every repo gets a recurring, expert-level QA pass with a plain-language, prioritized report - fix now vs. fix eventually, with clean areas confirmed - so quality drift is caught on a schedule, not by users.
Agent orchestration Recurring reports Quality workflow Workflow automation

Healthcare Operations Software

Problem
Daily cell-therapy manufacturing ran on fragmented spreadsheets, paper checklists, and tribal knowledge, under GMP rules.
My Role
I led these operations: found each pain point from the inside, built the tools, and led adoption with the teams.
Solution
Five focused tools: container tracking, LN2 storage mapping, cleanroom checklists, a status dashboard, and weekly scheduling.
AI & Technical Approach
Rapid AI-assisted prototyping: each tool went from problem to working application in days, then iterated in daily use.
Implementation
Rolled out into a working manufacturing environment. Adoption came from solving the exact problem operators had.
Outcome
Clearer coordination, fewer errors, and one shared picture of operations. The closest analogue to a first pilot in a small business.
Operational problem solving AI-enabled internal tools Workflow automation Rapid prototyping and deployment Regulated environments
Cryo-container tracker dashboard screenshot Cryo-container tracker dashboard screenshot

Cryo-container Tracker

View app
Problem
Tracking Mr. Frosty cryopreservation containers in regulated environments is often fragmented and difficult to manage.
Solution
Built an application for facility containers with scheduling, reminders, submission flows, and upload support for daily use.
Outcome
Simplified container tracking and reduced the friction of routine operational follow-up.
Workflow automation AI-enabled internal tools Operational problem solving Tracking and reminders
LN2 storage management interface LN2 storage management interface

LN2 Storage Management

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Problem
Teams need a clear, reliable way to map liquid-nitrogen storage and locate biological material across tanks, racks, boxes, and positions.
Solution
Built a visual storage-management application that makes inventory structure, capacity, and sample locations easier to understand and maintain.
Outcome
Improved storage visibility and reduced the friction and risk involved in routine sample-location workflows.
AI-enabled internal tools Inventory visibility Operational problem solving Rapid prototyping and deployment
Cleanroom checklist application screenshot Cleanroom checklist application screenshot

Cleanroom Checklist

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Problem
Cleanroom readiness checks can become fragmented, inconsistent, and difficult to follow when managed through static documents.
Solution
Created a dynamic checklist that structures required activities and gives operators a clearer, repeatable completion flow.
Outcome
Standardized execution, improved task visibility, and supported more consistent operational readiness.
Process standardization Documentation-heavy workflows Adoption AI-enabled internal tools
Cleanroom status dashboard screenshot Cleanroom status dashboard screenshot

Cleanroom Status Dashboard

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Problem
Operational teams need an immediate shared view of cleanroom status, readiness, and current constraints.
Solution
Built a focused visual dashboard that centralizes room status and makes important operational signals easy to scan.
Outcome
Created a clearer source of truth for coordination, faster issue awareness, and better day-to-day decision-making.
Operational visibility Reporting and dashboards Decision support AI-enabled internal tools
Weekly cleanroom schedule application screenshot Weekly cleanroom schedule application screenshot

Weekly Schedule

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Problem
Weekly laboratory work requires coordination across people, activities, rooms, and shifting operational priorities.
Solution
Developed a shared scheduling tool that organizes weekly activities in one accessible, structured view.
Outcome
Improved alignment, reduced scheduling ambiguity, and made dependencies and workload easier to coordinate.
Scheduling and coordination Cross-functional alignment Workflow automation AI-enabled internal tools
CAR-T Structure Architect interface screenshot CAR-T Structure Architect interface screenshot

CAR-T Structure Architect

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Problem
Researchers need an easier way to visualize, compare, and communicate CAR-T construct designs.
Solution
Built an interactive design tool for constructing CAR-T architectures with predefined clinical constructs and configurable domains.
Outcome
Enabled rapid visualization and clearer communication of complex biological designs.
Rapid prototyping and deployment Product design Biotechnology Visual tools

More Projects

Side builds.

Smaller builds that stretched a skill - product design, game systems, and creative AI work. Evidence of rapid prototyping and shipping, more than of operations.

Worm Blood multiplayer game screenshot

Worm Blood - Multiplayer Game

View app
Problem
Create and launch a complete multiplayer game without a formal game development background.
Solution
Designed gameplay mechanics, progression systems, UI concepts, and user experience while using AI coding agents to accelerate development and iteration.
Outcome
Launched on Google Play and demonstrated full product lifecycle ownership from idea to production.
Rapid prototyping and deployment Product design AI-assisted development Full product lifecycle
Pill Hero game map with five pill-swallowing practice levels

Pill Hero

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Problem
Many children find swallowing a pill frightening, and the usual approach - pressure at the moment it matters - makes it worse.
Solution
Built an educational game that breaks pill swallowing into five small, playful levels, with a pretend-play mode, a practice mode alongside an adult, and a guide for parents.
Outcome
Turns a stressful routine into small, repeatable wins, and gives parents a structured path to follow with their child.
Educational games Children's health Product design Rapid prototyping and deployment
Animal games menu with animal sounds, memory, and puzzle games

Animal Games for Kids

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Problem
Young children need play that is simple enough to drive on their own - no reading, no distractions - and that still teaches something.
Solution
Built a set of three touch-first animal games - animal sounds, a memory game, and puzzles - as an installable web app in Hebrew.
Outcome
Calm, educational screen time for the youngest players, shipped end to end as a small product.
Educational games Product design Rapid prototyping and deployment Progressive web apps