Rented capability
An external team learns your operation, builds inside it, and hands over a system.
- Depth arrives quickly
- The knowledge sits with the vendor
AI transformation. Built for the long run.
Turning AI into how the business actually runs.
Real processes. Internal AI Leads. Agents in production.
Built in the field
We help industrial, energy, and retail enterprises turn AI into operating capability that lasts: real processes, internal AI Leads, agents in production, and a leadership cadence that holds long after kickoff. Whether the work covers one country or many.
- 50+
- direct, multi-session in-depth projects
- 300+
- organizations in workshops and programs
- 1,500+
- managers trained in AI and operational excellence
For CEOs, innovation leaders, and HR/L&D leaders at enterprises with real operating complexity.
Try it
What is your challenge?
Describe a workflow, a bottleneck or a recurring task. We will show a similar example from our use-case library.
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Forward Deployed
You can rent a forward deployed team. Or you can build your own.
Enterprise AI has settled on one delivery answer: place senior outside engineers inside the business until the work reaches production. It does work. It also leaves when the contract ends, and the understanding leaves with it.
Built capability
The people who already understand the operation become the ones who build in it.
- Depth builds over an engagement, not overnight
- The knowledge stays on the payroll
We run the forward deployed model in reverse. Your AI Leads are the deployed team: they identify the work, build the assets on tools you already own, and retain ownership of them. We are the ones who leave.
Trusted By
Trusted in complex operating environments.
The Problem
Most organizations have already tried AI. That is not the problem.
The problem is not the tool. Teams have licences, pilots, and scattered experiments, and the daily workflows have not changed. Knowledge is still fragmented, decisions are still slow, experts are still bottlenecks, and leadership still cannot see where AI is creating measurable value.
So the work starts at the gap between the current operating reality and the operating model you actually want. From there we work inside the organization: redesigning processes, unlocking new ways of doing the work, building usable agents, and creating the internal cadence that keeps the improvement going.
What Leaders Say
Clear thinking, hands-on work, and practical outputs.
“A high-caliber individual who brings deep expertise, strong interpersonal skills, and a thoughtful, hands-on approach.”
“The lectures were inspiring and energetic, providing practical insights, tools, and opportunities to enhance efficiency.”
“An excellent workshop that opened employees' eyes regarding tools and contemporary applications for using AI in day-to-day work and innovation.”
“Omer demonstrated professionalism in every aspect of the program.”
“Omer brought professionalism, clarity, and a highly constructive approach that supported our teams' advancement in artificial intelligence.”
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Inside Your Environment
You probably don’t need another AI tool yet.
Most organizations already hold serious AI capability inside the stack they have licensed. So the work runs there: inside the environment your security function has already approved, on licences your teams already hold. No new system has to come in.
Workflows, prompts, and assets built for you belong to you. Production development, enterprise integration, and security approvals stay with your teams, where the accountability already sits. We say where that boundary sits in the first conversation.
See the approach
What stays with you
From the first opportunity. To a workflow your team owns.
Choose an output to explore the work. These are illustrative examples based on patterns in our use-case library.
01 / 04
Start from the leader’s own work.
Map recurring work, information sources and friction in individual working sessions. A shared leadership session turns the findings into priorities.
HARARI PARTNERSIllustrative example
Opportunity map / Operations
Work todayScattered information. One decision.
Operating reportsMaintenance logTeam updates
Opportunity to exploreA source-linked morning briefing
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Choose what to build first.
Each use case has a defined need, a suitable tool, an owner and dependencies. Leadership chooses what moves into the build.
HARARI PARTNERSIllustrative example
Use-case portfolio / Leadership review
01
Morning briefingOperations
Report access02
Supplier intelligenceProcurement
Source verification03
Troubleshooting supportMaintenance
Approved documentationFor each case: suitable tool · required infrastructure · owner
03 / 04
Build around real work.
Teams build in approved tools, check against source material and demonstrate the result in a Show and Tell.
HARARI PARTNERSIllustrative example
Morning briefing / Workflow
- 01GatherDefined and approved information sources
- 02PrepareDraft briefing with source references
- 03CheckA manager verifies exceptions and decides
04 / 04
Give every workflow an owner.
Hand over the workflow, instructions and checks. The next-step plan defines ownership, operating routines and open decisions.
HARARI PARTNERSIllustrative example
Next-step plan / Ownership
- Owner
- A workflow lead from the team
- Quality check
- Source comparison and human approval
- Operating routine
- When to use it and how to flag exceptions
- Next decision
- What to refine and where IT is needed
The Decision