Build the team.
Architect the AI.
Ship the system.

TSI Integration helps founders, CIOs and technology leaders build capable development teams and turn AI strategy into secure, production-ready architecture.

Architecture workbench with an open notebook, cloud diagrams and operational planning notes

20+ years leading software, infrastructure and cloud delivery

Three ways we help

AI consulting

AI strategy & architecture

Choose the right AI opportunities, define the roadmap and design the production architecture around data, tools, identity, evaluation, safety and measurable outcomes.

  • Strategy
  • Architecture
  • Governance

Engineering leadership

Development team building

Shape the team around the product: roles, hiring profiles, ownership, delivery cadence, technical standards, mentoring and a practical operating model.

  • Team design
  • Hiring
  • Mentoring

Hands-on delivery

From architecture to production

Turn decisions into working systems across application code, cloud infrastructure, integrations, security, observability and operational readiness.

  • Azure & AWS
  • .NET & Python
  • Production AI

Build lasting capability

More than an AI prototype

The goal is a capable engineering team and an AI platform it can own, operate and improve after the engagement.

01

AI strategy and opportunity design

Identify where AI creates real leverage, select use cases, define success measures, assess data and integration readiness, and turn the result into an executable roadmap.

02

Production AI architecture

Design agentic AI, retrieval and tool-use systems with identity, approvals, evaluation, auditability, cost controls, observability and deterministic fallback behavior.

03

Development team design and leadership

Define roles and ownership, create hiring profiles and interview loops, establish delivery cadence and quality standards, and coach the team through real execution.

04

Delivery and operational readiness

Carry the architecture into implementation across cloud, software, integrations, security, CI/CD, observability, cost and incident readiness.

How we engage

Leadership that leaves a stronger team behind

Enterprise AI insight

AI implementation is an operating-system change, not a model rollout.

Practical writing for leadership teams that need AI to survive procurement, security, integration, operations and real users.

Article

Implementing AI in enterprise organizations

Lessons from regulated, integration-heavy environments, including work connected to Shva, Bituah Yashir and collaboration with Dofinity.

Read the article

About

A small company for serious enterprise systems work.

TSI Integration is a small specialist technology company led by Shahar Dam Ari, a technology leader and AI architect with more than 20 years across software development, infrastructure, cloud and production operations.

We work with founders, CIOs and technology leaders when they need to create an engineering function, strengthen an existing team or turn an AI opportunity into a system the business can safely operate and scale.

We operate at two levels: management - team structure, ownership, hiring, prioritization, delivery cadence and mentoring - and architecture - AI patterns, cloud boundaries, integrations, security, observability and recovery.

Leadership
Founders, CTOs and engineering teams
Architecture
AI, Azure, AWS and integrations
Languages
English and Hebrew

Common questions

A clear starting point

Can TSI Integration help build a development team from scratch?

Yes. We can help define the team structure, roles, hiring profiles, interview process, ownership model, technical standards and delivery cadence, then support onboarding and leadership as the team grows.

What does an AI consulting engagement include?

It can cover opportunity assessment, use-case selection, success metrics, data and integration readiness, model and platform choices, risk controls, architecture and a phased delivery roadmap.

What makes production AI architecture different from a prototype?

A prototype proves that a model can produce useful output. Production architecture adds identity, permissions, governed tools, retrieval quality, evaluation, audit trails, cost controls, observability, fallback behavior and a team that owns the system.

Does TSI stay hands-on with the team?

Yes. The engagement combines leadership with direct technical work: architecture, implementation, code and design reviews, cloud infrastructure, integrations, security, observability and production escalation when needed.

How do we start?

Send the business goal, current team shape and the AI or delivery problem you need to solve. We will respond directly with the first decisions to make and what a focused engagement could look like.

Build the capability

What should your team and AI platform become?

Share the business goal, current team and delivery constraint. We will respond with a direct view of the next decisions and where TSI Integration can help.