We configure the native layer, build what the platform does not ship, and bring external models into the same environment. Nothing lives anywhere else: the permissions, the data and the governance are the ones you already have.
Someone switched on Sidekick, someone else tried an agent, and there is an automation that works on one board and nowhere else. The operation stays the same: the same rework, the same information captured twice, the same meetings to find out where everything stands.
This is not a technology problem, monday.com AI works. What is missing is someone who steps into the real process, cleans it up before automating it, and takes responsibility for moving the number.
Most AI offerings stop at layer two.
Our delivery team holds Lean Six Sigma certifications, from Yellow to Black Belt. Automating a broken process only makes it fail faster, and at a recurring cost.
Sidekick, AI workflows, agents and vibe apps on your real processes, with permission rules and governance. This is the layer monday.com certifies us on directly.
200+ solutions built in house, plus integrations with WhatsApp, Aircall, ERP and Make. Where most stop is where we start writing code.
We are an OpenAI Select Partner and members of the Claude Partner Network, and we apply that to the reasoning native AI was not designed to do. All of it running inside your monday.com environment, not in a separate tool.

Agents that take on specialized tasks and carry the work through to automated execution.

Classify and route every incoming request, with no one reading it first.

A screen built for the role that uses it, on the data already living in monday.com.

The state of operations without asking anyone for a report.

WhatsApp, Aircall, Make and your ERP, writing straight into monday.com.
monday.com charges AI by credit, and consumption is a design decision. Every workload runs on the engine that delivers the result with fewer credits: some things belong to native AI, others to models we operate directly. We review consumption before building and again after go-live.
An AI investment that holds its value as adoption grows, instead of one that costs more the more your teams use it.
Industrias Valore, textile manufacturing with more than 400 people on the floor. Before, one HR coordinator answered every message, copied the candidate’s details into a notebook and typed them again into the system. Today an agent answers every candidate, screens them against the open roles, books the interview and logs the full conversation in monday.com.
Out of every hundred people who write in. With no human intervention at any point.
The agent never books a slot HR cannot cover. An interview no one shows up to is worse than no interview at all.
Which line, which stop, how far the walk is, where to park. In a market competing for floor talent, that answer decides who actually shows up.
Volume data from January to April 2026. Funnel data from April 13 to 25, 2026. Figures verified with Industrias Valore.
Value stream mapping, a diagnosis of data, people and governance, the KPI baseline measured and signed off, and your internal champion identified.
Process redesign first, build second. Delivered in stages, with a working demo for your team every week before taking the next step.
Team-by-team training, champion certification, written documentation and monitoring, with adoption measured through the review date.
Champion certification prepares your people to maintain and grow the system. Once the first process runs clean and the number has moved, the conversation moves on to the next process.
Fixed scope and fixed price. Pick a package and we will reach out to get started.
Fully creditable against any tier contracted in the following 60 days. You get the value stream map, your baseline measured with your own data, three cases ranked by return with an hours estimate, and a direct recommendation on whether building makes sense or not.
Fix your worst process and prove it with a number.
Connect a full chain across the departments where it breaks.
One operating system across plants and locations.
In every package: 60 day KPI guarantee, Lean Six Sigma redesign, weekly demos and documentation. Additional sites on Multi-site are $8,000 USD each. Managed Services are quoted separately.
| Included | One Process | One Flow | Multi-site |
|---|---|---|---|
| Scope | |||
| Business processes | 1 | 3 | 5 |
| Sites covered | 1 | 1 | Up to 3 |
| Teams supported | 1 | Up to 4 | Up to 10 |
| Users supported | 25 | 150 | 500 |
| Timeline | 8 weeks | 12 weeks | 18 weeks |
| AI build | |||
| AI agents | 1 | 3 | 6 |
| AI workflows | 2 | 5 | 8 |
| Vibe apps | 1 | 1 | 3 |
| OpenAI and Anthropic models | — | Yes | Yes |
| Make, WhatsApp, Aircall | — | Yes | Plus ERP |
| Platform build | |||
| monday boards | Up to 5 | Up to 15 | Up to 30 |
| Executive dashboards | 1 | 3 | 6 |
| Governance and access review | Yes | — | — |
| AI credit investment | |||
| AI credit consumption review | Baseline | Full | Full plus quarterly |
| AI credit consumption efficiency | — | Yes | Yes |
| Process and people | |||
| Lean Six Sigma redesign | Yes | Yes | Yes |
| Working sessions | 5 | 10 | 15 |
| Training sessions | 1 | 3 | 10 |
| Champions certified | — | 1 | 5 |
| After go live | |||
| Monitoring | 30 days | 45 days | 60 days |
| Dedicated CSM | — | Yes | Plus quarterly review |
| 60 day KPI guarantee | Yes | Yes | Yes |
| Investment · USD | $10,000 | $20,000 | $30,000 |
Before building we measure the KPI you choose with your own data and write it into the scope, along with the target and the review date. At 60 days we measure it again, with the same method and the same source.
monday.com reviews our delivery quality directly with the clients we serve and holds us to a rating it measures itself. You hire a team the platform vendor has already vetted, not one that passed a sales exam.
The highest tier in the partner program. We keep certified staff in every role your project will touch, so delivery never stalls waiting for a specialist to free up.
OpenAI grants this level for deployment experience, not for signing up. You work with people who have already put these models into production at other companies: your project is not where they learn.
We build on Anthropic's Claude models when monday.com native AI is not the right engine. You get the model that fits the work, not the only one that came with the platform.
Both layers: the native one (Sidekick, AI workflows, agents, vibe apps) configured on your processes with permission rules, and OpenAI and Anthropic models for the reasoning the native layer was not designed to do, running inside the same environment.
From $10,000 USD with fixed scope. There are three tiers depending on how far the change goes: one process, a full chain across departments, or several sites.
Then the Operations Diagnostic is the right starting point: it maps the process and says what is worth building, with or without a platform involved.
The first process runs in 8 to 18 weeks depending on scope, with a working demo every week during implementation.
In two weeks you get the value stream map, your baseline measured, three cases ranked by return and a direct recommendation on whether building makes sense or not.
We'll get back to you within one business day.