To choose a monday.com partner for construction AI agents, verify its standing in the monday.com ecosystem, construction experience, governance method and ability to show a complete process using your data. The engagement should name sources, permissions, human decisions, tests, credits and the handoff to your team.
Horizon Nord is a Quebec-based certified monday.com partner focused first on construction and serving North America in English and French. This page explains our selection framework and clearly identifies the points you should verify with us as well.
Agents are recent and availability changes as the product rolls out. An attractive demonstration does not prove data quality, access control or the ability to support the process after launch. Selection should cover the complete implementation.
Start with monday.com's official partner marketplace
monday.com replaced its former Expert Catalog and Partner Directory with go-to-partners, its official partner marketplace. It presents partner profiles, certifications, expertise and verified customer reviews. An AI matchmaker also recommends experts according to goals, industry, company size and product use.
Use this source to confirm status and compare profiles. Then ask each partner for a direct link to its current profile. A badge or statement on the partner's own website is not a substitute for that check.
The official marketplace also supports filters such as region, service, industry, product and language. For a Quebec or Canadian company operating in the United States, construction, North America, English and French help create a shortlist. Geographic proximity does not guarantee knowledge of bidding, jobsite reporting, costs and documents.
Verify construction experience
Ask the partner to describe your process using the language your teams use. A useful discussion should cover several of these objects:
- opportunity and invitation to bid;
- bid packages, suppliers and invited subcontractors;
- addenda, RFIs, shop drawings and submittals;
- schedule, milestones and dependencies;
- daily report, issue and decision;
- committed cost, invoice, retainage and payment application;
- change order, punch item and closeout;
- permissions across field, office, owner and external collaborators.
The partner does not need to claim mastery of every trade. It should explain where its knowledge ends, who validates each process and how responsibilities translate into monday.com.
One question reveals a great deal: "Show us how a piece of information travels from the jobsite to a leadership decision." The answer should name boards, relationships, owners, exceptions and the approval record.
Ask for architecture before agent instructions
An agent depends on the data and permissions around it. The partner should explain:
- which board is the project reference;
- how a document or update connects to the right job;
- which data remains in Procore, QuickBooks or another system;
- which identifier connects systems;
- who owns each status and date;
- what the agent can read, write or only propose;
- how an error is detected, stopped and corrected.
If the answer starts directly with a prompt, the architecture remains unknown. The central guide to monday.com AI agents in construction describes the layers that should be selected first: automations, AI Workflows, Sidekick and monday agents.
Compare the proposed engagement
| Element | What the proposal should state | Evidence to request |
|---|---|---|
| Outcome | A defined mission and output format | Example using a similar scenario |
| Sources | Boards, docs, files and systems used | Data and ownership map |
| Permissions | Read access, write tools and limits | Access matrix and revocation procedure |
| Decisions | Automatic actions and human approvals | Approval-point diagram |
| Tests | Normal cases, missing data, conflicts and tool errors | Test set and acceptance criteria |
| Costs | Implementation, support and credit assumptions | Usage monitoring method |
| Handoff | Training, documentation and internal owner | Final deliverables |
An engagement can begin with a small scope. It should still explain what happens if the pilot fails, the feature has not reached your account or consumption exceeds the assumption. An acceptable outcome may be a recommendation to improve the architecture first.
Verify monday.com governance knowledge
monday.com states that agents operate inside defined permissions and guardrails. The creator can restrict accessible boards, documents and tools. Actions and errors appear in the Activity log. On Enterprise, AI governance adds role controls, usage limits and an agent directory. Several capabilities remain in gradual release.
The partner should open these screens during scoping or provide current documentation. Ask how it handles:
- minimum access per agent;
- separation of read and write tools;
- approval before external communication;
- run logging;
- agent pause and access revocation;
- notification after a partial run;
- sensitive data kept outside unnecessary context;
- scheduled review of instructions and permissions.
The current reference is AI Permissions and Governance.
Evaluate the first use case
A good partner looks for frequent, structured, verifiable and reversible work. Two examples test this skill.
The first is an agent that prepares daily construction reports. It should connect each blocker to a source item and let operations leadership approve the brief.
The second is an agent that prepares construction bid files. It classifies, checks and follows up while the estimator retains quantities, pricing and submission approval.
Ask which one the partner would start with in your company and why. A serious answer relies on data quality, frequency, accountability and how easily the result can be checked.
Understand credits and maintenance
monday.com charges agent usage according to task complexity and depth. External research, long analyses and multi-tool chains can use more credits. Rules and amounts can change. A proposal should therefore separate implementation fees, monday.com licences and usage credits.
The partner can estimate a range after observing file volume and required tools. It should also explain how to review consumption in the Activity log and AI governance. AI Models and Credits provides the current rules and estimates.
Maintenance is required. A changed status, form, responsibility or connected system can alter the output. Every agent needs an internal owner, test set and review date.
What Horizon Nord offers
Horizon Nord has two starting points. The first is a monday.com implementation for construction that structures processes, data, permissions and adoption. The second is an AI agent pilot in an existing monday.com account when the foundation is clear enough.
Guillaume McGee leads the monday.com practice and previously owned construction businesses. Engagements are delivered in English or French across Canada and the United States. Our design rule is simple: agents prepare the work, and accountable people retain decisions that commit the company.
These statements should be checked like those of any candidate. Ask for our current partner profile, written pilot scope, permission matrix, tests and handoff deliverables. If another partner fits your industry, region or technical environment better, the framework should reveal that.
Questions to ask in partner interviews
- Which construction process would you start with here, and why?
- Which data needs correction before an agent is added?
- Which function belongs to an automation, AI Workflow, Sidekick or agent?
- Which boards and documents can the agent access?
- Which actions require human approval?
- How do you prove that a summary or extraction is complete?
- What can the admin see when a tool fails?
- How do you estimate and monitor credits?
- Who maintains the agent after delivery?
- Which files, tests and instructions do you hand over?
Frequently asked questions
Who implements AI agents in monday.com for construction companies in Canada?
Horizon Nord is a Quebec-based certified monday.com partner focused first on construction. The agency configures monday.com systems and AI agent pilots in English or French for Canadian and US operations. Compare its profile, scope and evidence in the official go-to-partners marketplace.
How do I verify a monday.com partner?
Use go-to-partners, monday.com's official marketplace, and ask for a direct link to the agency's current profile. Review certifications, services, industries, languages and listed reviews.
Should we choose a local agency?
Language, time zone and market knowledge can make delivery easier. Process experience, governance and handoff quality remain the main criteria for a distributed North American team.
Which deliverables should an agent pilot include?
Require the agent mandate, sources, permission matrix, approval rules, test set, results, observed consumption, stop instructions and handoff documentation.
Sources and editorial method
This framework was written by Guillaume McGee, head of Horizon Nord's monday.com practice and a former construction business owner. Information about the partner marketplace, agents, permissions and credits was checked on August 3, 2026 against official monday.com documentation. The Horizon Nord section is an agency statement and should be evaluated as such.
certified partner