Shahar Saadon
Co-Founder & Chief Executive Officer
LinkedIn profileGuides by Shahar Saadon
AI and automation for CEOs: what to automate first
What AI and automation do for the CEO of a 20 to 200 person company: the weekly numbers, approvals, the inbox, the CRM, and what to leave alone.
Automation for finance teams: what it does for a CFO
What automation does for a finance team: invoicing, collections, supplier invoices, bank reconciliation, the month-end close and the bookkeeper handoff.
Automation for operations teams: what to automate first
What automation does for an operations team: order handoffs, supplier updates, scheduling, request routing, onboarding, and what to automate first.
AI and automation for sales teams: what actually changes
What AI and automation do for a small sales team: lead intake, speed to first response, CRM hygiene, follow-up sequences, quotes and pipeline reporting.
Hire vs automate: should you add a person or automate the work?
A loaded-cost framework and a decision table by type of work for choosing between hiring another person and automating, using your own numbers.
Custom AI agent vs off the shelf: which one your business needs
What off the shelf means for AI agents, what a custom agent adds on data, permissions and memory, and a decision rule for which one to pick.
WhatsApp Business API: how to open an account and what it costs
A WhatsApp Business API account needs a verified Meta business portfolio, a dedicated number and pre-approved templates.
monday vs Fireberry vs HubSpot: which CRM fits an Israeli business
Fireberry for Hebrew and local invoicing, monday for teams shaping the process, HubSpot when marketing and sales share a pipeline. Costs and when to build.
Chatbot vs AI agent: the difference, and which one you need
A chatbot answers questions, an agent finishes work. The difference in tools, permissions and state, how to tell which you need, and why most ship a mix.
n8n vs Python: when to build a workflow and when to write code
n8n when the work is calls between systems your team must read, Python when it is data-heavy or latency-bound. Where each stops, and how to use both.
The build vs. buy equation has changed: why companies will build more of their own software
AI is changing the economics of software development. Companies can now build internal tools around how they work, instead of bending processes to fit SaaS.
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