We find where manual work is slowing your team down and build processes on monday.com that AI agents run end to end. The result: dozens of hours back to the team every week, fewer errors, and decisions made the same day instead of next week. Local Israeli team, and we stay until it works in production.
Book a fit callSee the tracksFirst discovery workshop, free, no commitment.
No one-size template. We embed with the team, understand how the process really works today, and build on it. The result is measured in hours returned to the team, not in spec documents.
Cost, cycle time, capacity or risk. We lock a measurable target in the discovery workshop and everything built afterwards is measured against it. If a process won't move the number, we say so before you pay for it.
Live data from the ERP, the CRM and email. Zero copy-paste.
A three-phase framework that takes you from discovery to live AI processes, with your team able to run them on their own.
Understand where AI makes the biggest difference in your business context: your data, your processes and how the team works.
Design and build the solution iteratively, with weekly demos and real feedback, and no surprises on go-live day.
Go live with confidence and make adoption stick: training, internal champions and close support in the first weeks.
Built on the monday.com AI Work Platform. Every capability runs on one flexible credit system, so there are no separate tools to buy.
Three questions. The recommendation is a starting point, validated in the fit call.
The recommendation will appear here. There is no right answer, only a starting point.
Tracks
From automating one process to AI embedded across the organization. Three tracks built on our experience implementing monday.com in Israeli enterprises, delivered by the entrypoint team.
For one team moving a specific process to AI: routing and classifying incoming requests, automatic summaries, or surfacing insights from project data. Results within a month.
For teams ready to transform several connected processes: request intake with project tracking, or lead qualification with pipeline management. Connected to your core systems.
For organizations embedding AI in complex, cross-department operations, with governance, advanced automation and broad team enablement.
Same three stages in every track. The difference is scope: how many processes, how many agents, and whether Academy is included.
| What's included | EntryEntry | ExpandExpand | TransformTransform |
|---|---|---|---|
| Timeline | Up to 1 month | Up to 2 months | Up to 3 months |
| Use cases | 1 basic | Up to 2 basic or 1 advanced | Up to 5 basic or 2 advanced |
| Configuration | |||
| Boards | Up to 10 | Up to 20 | Up to 30 |
| Dashboards | 3 | 6 | 10 |
| AI Workflows | Up to 3 | Up to 6 | Up to 8 |
| AI agents | 2 | 4 | 6 |
| Vibe applications | 1 | Up to 2 | Up to 3 |
| Training | |||
| AI Academy | Add-on | Add-on | Included |
All tracks include: Discovery and AI strategy workshop, Sidekick workshop, user training, data import consulting and support for the platform's native integrations. Custom integrations, data migrations and app development are quoted separately, and this is where entrypoint's integration background pays off: it's done by us, not by another vendor. The tracks are a starting point. Final scope and quote are defined together after the discovery workshop.
Every project combines the right mix of monday.com AI capabilities for the business goal. We configure, connect and measure.
A digital workforce of specialized agents: routing, classification, follow-ups, reporting. They take a task, run it end to end and document why they decided what they did.
An AI assistant that knows your boards, connects work items and runs tasks across your whole monday.com environment. Context-aware from day one.
Data processing inside every workflow: classify incoming requests, summarize long updates, detect sentiment, extract fields and translate. In Hebrew and English.
Orchestration of multi-step workflows connecting agents, AI Blocks and automation rules. Work moves between teams without manual handoffs.
Turn a business requirement into an enterprise-grade custom app in hours, not months. The tools the team actually needs, inside the platform.
ERP, CRM, finance and service systems. entrypoint is an integration company, so the complex connections are done by us and don't fall between the cracks.
What's in the sprint
Leaders name where AI can move a number, what needs care, and which workflow we take into the day.
Start here
The first yes. In about five hours the team ships a prototype on a live business challenge.
Start here
If you are not ready to build yet, internal champions keep the skill in-house with office hours.
Start here02The sprint day
People can arrive with no AI or vibe-coding experience and still build something that works. In about five hours, teams use the approved tools, tackle one live process, and leave with a prototype they can present.
Build websites, dashboards, and internal tools with AI, with no coding background required.
Choose a role and task, connect the right knowledge and workflow, and build agents with approved tools.
By the end of the day you have a prototype and a booked date to put it on the live stack.
Every use case here comes out of projects we have done: monday.com implementations, ERP integrations, managed IT services and cybersecurity. A basic use case runs on one trigger-based agent. An advanced one combines several agents, several systems and multi-step judgment.
An agent that pulls the CRM, ERP orders and customer history into one place, spots deals at quiet risk (open debt, open complaint, a cycle that stretched) and raises the flag before the quarter closes. The board that existed in no system.
A purchase request is checked against the budget envelope, existing framework contracts and the vendor record in the ERP, then routed to the right approver by threshold. Exceptions are flagged with the reasoning. Built on our experience moving procurement and budget control for a 15-country organization into one system.
System access requests are classified by sensitivity, checked against the permission policy and the requester's role, and routed to the CISO only when needed. Every approval is logged to an audit trail. From our cybersecurity background.
An incoming ticket is classified, matched against the knowledge base and past incidents, and if it is a known issue the agent sends the fix and asks to confirm closure. Anything unfamiliar goes to a technician with full context. From our experience as a managed IT services provider.
An agent reads a tender document (public or private), extracts requirements, deadlines and required documents, and builds a task board with owners and dates. Clarification questions are drafted automatically. The bid does not fail over a forgotten appendix.
An agent that gathers control evidence from the boards (who approved, when, against which document), spots controls that were not performed on time and prepares the audit package. Based on our work on SOX controls over monday.com.
From the moment of signing: account creation, equipment orders, role-based permissions, training scheduling and follow-up on anyone running late. HR and IT see the same board, and the new hire is not waiting for a laptop on day one.
Vendor management and contract renewals, legal requests, marketing and content, omnichannel customer service. Every project also includes use cases built from scratch for you.
Let's talk about itThe team that implements these packages is the same team that has been running enterprise systems since 2004.
A technology and integration company, not an AI startup
Cloud, cyber, enterprise systems and development, under one roof
From kickoff to a live process in production
Local team, on site with you
Why entrypoint
Why do this with entrypointAI Transformation packages are also available directly from monday.com. The difference is who walks into your office, and what they can do beyond the boards.
Workshops, training and documentation in Hebrew or English. A team that knows the local regulation and local vendors, and can show up in person. An Israeli company, not the local office of a foreign vendor.
Since 2004, more than 1,000 technology experts and 450+ developers across cloud, cyber, enterprise systems and development. When the agent needs data from the ERP or CRM, we connect it. No second vendor needed.
Our cybersecurity background runs through every project: permissions, action boundaries for agents, decision logging and an audit trail. AI that CISOs sign off on.
Our success is measured by how much your team uses it every day, not by deliverables submitted. We stay until the process runs in production.
Weekly iterations on your real data. You see and approve before we move on. No surprises on go-live day.
After handover, a quarterly roadmap review: which additional processes are ready for AI, and what changed in the platform that's worth using. One project that becomes an organizational capability.
One team the whole way: a CAIO who sets the standard, a practice head accountable for the solution, a Practice Lead who drives discovery, an Academy manager who trains your people, and a Customer Success Manager who stays after handover.
Owns entrypoint's technical architecture and AI strategy: the standard every agent is built to, which number it is meant to move, what its action boundaries are, and who is accountable when it is wrong.
Leads the monday.com practice at entrypoint: solution architecture, the technical build of agents and integrations, and accountability for the outcome on every project.
Leads discovery and design: finds the points where AI creates real leverage in a specific process, and builds solutions teams actually use.
Designs the Academy program with you: the executive workshop, the hackathon and the internal champion training, so the capability stays in the organization after we leave.
Your point of contact during the project and after: adoption tracking, coordination between your team and the build team, and the one who picks up the phone when something isn't running.
FAQ
You can, and monday.com's own packages are good. The difference between monday and entrypoint is who shows up. monday's team works in English, remotely, and inside the platform's boundaries. We sit with you in the room, speak Hebrew with your procurement manager and your IT lead, and connect the agents to your ERP and CRM ourselves, because that is what we do the rest of the week. When something breaks, there is a local phone number to call.
Book a fit call
A free 45-minute fit call. Together we'll map three processes where AI returns the most time to your team, and tell you honestly which track to start with. No commitment.
A free 45-minute fit call.
Takes less than 30 seconds
