AI transformation for legacy organizations
Where AI meets execution.
Everything your organization needs to become AI-ready: the people who drive adoption, the agents that do the work, and the infrastructure that governs it, built on top of the systems you already run.
Your existing systems — ERP, CRM, MES, SCADA, LIMS and QMS — sit unchanged at the center. Finance, production, procurement and support agents orbit them and act through their existing interfaces. A governance control room ring surrounds the agents, and internal champions ride the outer ring.
Trusted by industrial leaders across Israel
Trusted across Israeli industry
The problem
95% of enterprise AI pilots never reach the P&L.
Not because the models are weak. Because nobody owns what happens after the pilot.
Sources: MIT NANDA, The GenAI Divide: State of AI in Business, 2025 · Gartner, June 2025: over 40% of agentic AI projects will be canceled by the end of 2027.
What the 5% do differently
AI transformation is change management. It runs on people and technology.
The organizations that succeed don't buy more tools. They find the people who will carry the change, and they put working technology in those people's hands, on the systems they already trust.
AI that actually runs in your organization.
The Adanix methodology
Four modules. Start with any one.
The methodology is modular, and so is every module in it. Each one is a complete engagement that delivers on its own. Run two, three or all four and they compound, because they share the same champions, the same experts and the same governed foundation.
Modular by design
- Every module stands alone and delivers on its own.
- Add modules in any order, whenever the organization is ready.
- Each one plugs into the same foundation, so nothing is rebuilt twice.
- 01Champions ProgramThe capability that stays after we leave.
- Trained and certified to build and govern agents
- Co-own live agents and fix what breaks
- Find the next use case without external dependency
- 02AI AutomationAgents on the systems you already run.
- ERP, CRM, MES, SCADA, LIMS, QMS: API where one exists, RPA where it doesn't
- Built inside your existing ecosystem, zero downtime, data stays internal
- Quick wins first, measured on cost and outcome
- 03Expert NetworkSME-as-a-Service: depth you cannot hire.
- Senior operators in supply chain and procurement, finance, sales and marketing
- They map the use cases and build with you, not just advise
- Assembled per engagement, no bench for you to carry
- 04AI InfrastructureThe layer every AI runs on.
- Best-in-class platforms we select, deploy and operate, alongside what we build ourselves
- One control room: every AI keyed, budgeted, routed and audited
- Inside your environment, under your permissions
How an engagement runs
Five steps, whichever modules you start with.
- 01
Find.
Identify the internal champions and map the processes worth automating.
The people who will carry the change already work here. We find them, and the senior operators who have run the process decide what is worth building.
- 02
Prove.
Ship quick-win agents on the systems you already run, finance first, measured on cost and outcome.
Built directly onto the systems already running. Zero downtime, data stays internal, and the result lands in a number the board already trusts.
- 03
Govern.
Route every agent through one control room: its own key, budget, guardrails and audit trail.
One place where every AI in the company is keyed, tracked, routed and guarded, deployed inside your environment and operated by Adanix.
- 04
Embed.
Certified champions co-own live agents: tracking performance, fixing what breaks, improving what works.
Ownership moves inside. Champions run the agents they helped build, so adoption is carried peer-to-peer rather than mandated from above.
- 05
Compound.
Champions and experts find the next use case. The agent library grows, and the loop starts again on the same foundation.
Every engagement adds to the library. The next use case is found from within, on infrastructure that is already in place.
Why Adanix
Most AI programs need four vendors. We are all four.
Each one owns a piece of the program. None of them owns whether it actually works.
What you would normally buy separately
A training provider.
Runs the workshops, but never sees your systems or builds.
A solutions integrator.
Builds the agents and leaves. Nobody owns adoption.
Domain consultants.
Know the process and write the report. Never ship a system.
An AI infrastructure vendor.
Sells a license. Governs the plumbing, not the adoption.
One contract · One team · One accountability
Proven in the field