When AI fits
Use AI where uncertainty is part of the work.
Extraction, synthesis, recommendation, interaction, and other capabilities where intelligent judgment creates leverage.
Business-first · Engineering-led
We build applied AI—from real business problems to production.
We identify where AI can create measurable value, determine whether it is the right solution, and engineer reliable capabilities that work in the real world.
Our point of view
The question isn’t only “Can AI do it?” It’s “Should we build it?”
When rules fit
Automate predictable work deterministically.
Not every workflow needs a model. Traditional software is often cheaper, safer, and easier to operate.
When value falls short
Say no before complexity becomes cost.
If the data, economics, reliability, or risk do not support the use case, the right decision is not to build it.
What we do
Three ways to move from ambition to operational value.
Focused engagements that meet you at the right stage—from finding the opportunity to running the system.
01
AI Opportunity Assessment
Discover, evaluate, and prioritize the AI opportunities with the strongest business case.
- Process and pain-point discovery
- Data, feasibility, risk, and ROI assessment
- Prioritized opportunity portfolio and roadmap
02
AI Product Engineering
Design and build AI-enabled capabilities around real users, workflows, systems, and success metrics.
- Capability, workflow, and experience design
- Architecture, integrations, and implementation
- Evaluation and focused production delivery
03
Productionization & Advisory
Take promising AI work beyond the demo with engineering discipline and technical leadership.
- Reliability, evaluation, security, and observability
- Architecture and engineering advisory
- Cost controls, rollout, and scale planning
How we work
A repeatable method.
A solution shaped around you.
- 01
Discover
Understand the goals, process, users, systems, economics, data, and constraints.
- 02
Decide
Assess value and feasibility, select the right capability, and define success before choosing technology.
- 03
Build
Design and implement a focused solution with product thinking and production-oriented engineering.
- 04
Operate
Validate, harden, measure, and improve the capability inside the real business environment.
Where we apply it
Capabilities embedded where work already happens.
Customer operations
Assist teams with conversations, routing, resolution, follow-up, and quality.
Knowledge systems
Make trusted organizational knowledge accessible and actionable inside daily work.
Document workflows
Extract, classify, summarize, validate, and route high-volume business documents.
Operational automation
Coordinate AI, deterministic logic, human approvals, and existing business systems.
AI-enabled products
Add differentiated intelligent capabilities to existing products and services.
Decision support
Turn complex information into timely recommendations with visible evidence and controls.
Engineering first
The model is one component.
The system is the product.
- 01Evaluation
- 02Human control
- 03Security
- 04Observability
- 05Reliability
- 06Cost management
About
Business judgment backed by engineering depth.
Led by Itzik Shoshan
15+ years leading complex software systems, architecture, platforms, and technical teams.
Build Applied AI combines systems engineering, product thinking, and modern AI to help organizations create capabilities that are practical, scalable, and operationally effective.
More about ItzikStart with the problem
What could work better in your business?
Bring the process, bottleneck, or opportunity. We’ll start by understanding it—not by prescribing AI.
Discuss an AI opportunity contact@itzikshoshan.com