What we think.
Writing by Shahar Peer and Omer Michaeli on putting AI to work in B2B organisations: what works, what doesn't, and why.
Articles
- 37% less unplanned downtime on a production line.At a manufacturing plant, Shahar helped cut the lines' unplanned downtime by 37%, with a model that predicts failures and alerts the maintenance team before a machine stops. It was a project he led before founding Pele.Pele · 4 November 2026
- Analysts who start every case from an organised picture.At an organisation that works with security bodies and research, we helped analysts stop building every case by hand, with a system that maps entities and relationships and a research agent that gathers the information before they start.Pele · 4 November 2026
- Brand advocates from the CRM you already have.At a medical equipment company we helped find brand advocates among thousands of CRM contacts, with a research engine that identifies, checks and ranks every contact.Pele · 4 November 2026
- A 56% lift in lead conversion at a medical equipment company.A company with a large distributor business and an early direct-to-customer channel, which wanted to reach the next stage without breaking what already worked. A project Shahar Peer led before founding Pele.Pele · 26 October 2026
- Don't hammer a nail with a broom.Code is no longer the obstacle, and neither is implementation. What decides the outcome now is knowing which tool fits which job.Omer Michaeli · 26 October 2026
- How do you know what your AI is actually doing?The risk isn't that AI makes mistakes. It's that it makes them confidently, and nobody notices.Shahar Peer · 12 October 2026
- The project isn't the AI.What happened at Cox, and why 75% of the work went where nobody budgets.Shahar Peer · 23 August 2026
- Who are you in this scene?We got the casting of The Matrix wrong, and the mistake explains why most companies use AI badly.Shahar Peer · 11 August 2026
What we build
- Process automationOrder entry, CRM updates, quotes and reports that someone copies by hand. We take one process that costs you hours every week and rebuild it inside the systems you already run.
- Predictive modelsA predictive model takes the history already sitting in your systems and turns it into an estimate of what's coming: how much will be ordered, which machine will stop, which customer is about to leave and which deal will close.
- Analytics and reportingReports arrive from every market in a different format and at a different pace, and by the time the picture comes together the decision has passed. We connect the data from the ERP, the CRM and the markets into one view, with a layer that explains what changed and why.
- Internal assistantsThe answer already exists somewhere: in a procedure, a spec sheet, a customer file or a veteran's head. An internal assistant connects that knowledge to your teams, answers in plain language and shows where the answer came from.
- Autonomous agentsAn AI agent doesn't just answer questions. It carries out a task end to end: it reads, decides by rules we define together, acts in your systems and reports back. In a project Shahar Peer led before founding Pele, at a medical equipment company, one agent built into the existing lead process lifted lead conversion by 56%.
- Organisational enablementMost AI projects don't fail because of the technology. They fail because nobody owns the process, the data isn't ready and nobody was trained to carry on. Organisational enablement is the work that makes it hold after we leave.
you
How do we start?
pele
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.