Years inside marketing, sales and partnerships
AI systems for ambitious online businesses
Make AI your unfair advantage.
Find the work slowing your team down. Build an AI system around it. Measure the change. You work directly with Rafi—from first idea to a system your team can run.
12+
Years connecting commercial strategy, systems and people.
Proof begins with accountability
One senior partner. One measurable first move.
You work directly with Rafi from the first diagnosis through rollout. Every engagement names the baseline, the owner and the decision rule before a system is allowed to scale.
One accountable relationship from first call to delivery
A baseline before the build; evidence before scale
Confidence before commitment
Trust the work, the terms and the person.
You do not need a wall of logos to understand how we work. Inspect the examples, the first scope and the person accountable for delivery.
See the thinking
Explore six concrete workflow examples, including the input, the AI action, the human checkpoint and what gets measured.
Inspect example systemsStart contained
The fixed-scope Opportunity Scan takes 10 business days and ends with a clear go, defer or do-not-build recommendation.
Review the first engagementVerify the person
Rafi stays accountable from diagnosis through rollout. His background and professional history are public, not hidden behind an agency layer.
View Rafi on LinkedInPick a part of the business
Where does the week disappear?
Start with the work your team repeats, chases or quietly hates. Pick an area and see the kind of system we could build around it, including where a person stays in control.
System 01 / Operations
Stop making people copy the same thing into three places.
Connect tools, automate handovers and keep human approval where judgment matters.
- Workflow orchestration
- Document processing
- Quality controls
One thing we could build
Document-to-decision workflow
- Input
- Inbox, forms and operational documents
- AI helps by
- Classify, extract and route the work
- A person still
- Review exceptions and approve sensitive actions
- We watch
- Cycle time, error rate and work returned
Three ways in
You do not need to transform everything at once.
Start where the pain is obvious. Make one thing noticeably better. Then decide, with real evidence, whether the next step is worth taking.
01
Find the right first move
AI Opportunity Scan
Find what's worth building before you spend a euro on tools.
- Current-state workflow map
- Ranked opportunity scorecard
- Business case with baseline, expected range and assumptions
02
Build the useful thing
AI Systems Sprint
Take your best opportunity and turn it into a system that just works.
- A system built in or connected to your existing environment
- Approved sources, role-based access and human approval controls
- Evaluation against real examples, edge cases and failure modes
03
Help the team use it
AI Enablement Programme
Help your people stop admiring AI and start using it.
- Role-specific training tied to live workflows
- Clear policies for what your team may and may not automate
- Vendor and technology guidance
Amsterdam, NetherlandsFounder, Infinite Impact
The founder in the room
You work with the person doing the thinking.
Rafi Friedmann
Commercial judgmentHands-on buildingDirect communication
Rafi Friedmann started Infinite Impact for one reason: too much technology gets bought, and too little of it changes anything.
His more than twelve years across marketing and sales have included senior affiliate management, account development and partner growth. Working across an international industry taught him that performance rarely comes from one clever campaign. It comes from understanding incentives, building trust and following through.
That is the perspective he brings to AI today: find the work that genuinely matters, bring the right people and platforms together, and stay close until the new system feels useful rather than imposed.
Connect with Rafi on LinkedInWhat working together feels like
Map it. Prove it. Make it yours.
No theatre and no giant reveal at the end. We work in visible steps, make decisions together and put something useful into real work early.
- 01
Map
Sit with how the work really happens, where the week disappears and what keeps getting in the way.
You leave withA plain-English map of how the work happens today - 02
Prioritise
Score the opportunities, talk honestly about risk and choose the one worth proving first.
You leave withOne clear first move and the case for doing it - 03
Pilot
Build the smallest live system that can prove its worth in the work and in the numbers.
You leave withA tested working system and a simple owner's guide - 04
Embed
Bring your team in properly, set the boundaries and build a rhythm that keeps the system useful.
You leave withTraining, guardrails and a practical next-step list
Start with one real workflow
What would a better Monday look like?
Bring the bottleneck, the ambition or the experiments that went nowhere. We will find the first AI move worth proving—and be honest if there is not one yet.