AI that goes to work in operations, sales, marketing and analytics.
Pele works with B2B organisations across the whole path: shaping the AI strategy, planning the rollout, implementing inside the existing systems, and the organisational work that makes it stick.
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Process first, tool second.
We know what a B2B process looks like, quote to cash and order to delivery. We work inside the core systems, your ERP, CRM, order system and reports, through the API, so nobody has to move to a new screen.
What gets built depends on what the diagnosis turns up:
Five steps, and each one earns the next.
- Diagnose
We go inside one department and pick the process that pays for itself fastest. And when there isn't one, we say so.
- Data, permissions & integration
We map what data exists across the ERP, the CRM and whatever comes back from the markets, at what quality, and who is allowed to reach it. That decides whether this is an eight-week build or an eight-month one, and we tell you before we start.
- Implement
We build the solution into the existing systems and run it with the real team, on the volume they handle every day.
- Prove
One metric, agreed before we start, measured against the day-one baseline.
- Expand, embed & monitor
Only once the number is in. The next process, with training and internal ownership.
- Permissions mapped before implementation
- No training on your data, and that is in writing
- Identifying information masked before anything reaches a model
- Data residency to your requirement, including GDPR
- A full log of what was sent, what came back and who approved it
A medical equipment company. One AI agent built into their existing lead process, inside the tools the team already used. A project Shahar Peer led before founding Pele.
Read the full case- 37% less unplanned downtime on a production line.
- Analysts who start every case from an organised picture.
- Brand advocates from the CRM you already have.
What we commit to
- One metric, in writing, before the first line of code.A number with units and a starting point, not "improved efficiency".
- We say no.If the diagnosis doesn't turn up a process that justifies AI, we say so and stop there.
Projects at Palram, CBC, Nayax, Mitronics and the H&O Group.
The people who scope it are the people who build it.
No account manager in between, and no team that takes over the project after the first call.
Shahar Peer
Strategy & diagnosis20+ years with B2B organisations, specialising in global operations.
LinkedIn
Omer Michaeli
Engineering, integrations & security15+ years as a full stack engineer, five of them as CTO at Abra.
LinkedInTwo is on purpose. It also means we take a small number of clients at a time.
Tell us the process that costs you the most hours.
Twenty minutes with both of us. You'll leave knowing whether AI belongs in that process, including when the answer is no.