How to choose an AI partner for your construction company.
Eight questions, five red flags, and the build-versus-buy decision, written for the owner who has to sign.
This guide does not rank firms, including Omadli. It gives you the questions that separate a partner who can read your Sage and Procore from one who has a slide deck.
Written by Zulfiya Forsythe, CPA. Updated September 23, 2026.
How should a contractor choose an AI partner?
A contractor should choose an AI partner by testing three things before price: whether the firm can read the company's actual systems, whether it will show its numbers reconciled to the books, and whether a human stays in the loop on anything that posts to a system of record. Ask any candidate to name the software they have connected to (Sage, Procore, BuildOps, QuickBooks, ServiceTitan, JobTread, Aspire), to state which of those they can write into and which they cannot, and to show one anonymized before-and-after with hours, days-to-close, or margin visibility. Ask for a fixed-scope first step with a published starting price, and for what happens when an export format changes. Red flags are a demo that runs on sample data, a promise of real-time write-back into every system, a refusal to name the model or where the data lives, and a strategy deck with no build date. The right partner leaves you owning the data, the connectors, and the documentation.
The decision at a glance
| Use the AI inside your software when | The question is about data inside that one system: a Procore RFI summary, a ServiceTitan dispatch suggestion. |
|---|---|
| Buy a tool when | The job is generic and standalone: transcribing meetings, drafting a proposal from a template. |
| Build custom when | The answer needs two or more systems joined (estimate + accounting + payroll), your cost codes, or an agent that acts on your data. |
| Ask every candidate | Which systems have you connected? Which can you write into? Show one reconciled before/after. What is the first fixed-scope price? |
| Red flags | Sample-data demos, universal real-time write-back promises, no named model or data location, no build date, you do not own the output. |
| You should end up owning | The database, the connectors, the models, and the documentation. |
Ask every candidate these, in this order.
| Question | What a good answer sounds like |
|---|---|
| Which construction systems have you actually connected to, and in which direction? | Listen for named products and for honesty about write access. Procore, Sage, JobTread, and Aspire gate writes behind partner programs; isolved has no open API. Anyone promising two-way sync into everything has not done it. |
| Show me a before-and-after from a company like mine. | Trade, revenue band, systems, and numbers: hours saved, days to close, margin visibility. Anonymized is fine. None at all is a flag. |
| How will I know the numbers are right? | The only good answer is reconciliation: to closed jobs, to the general ledger, to the controller's current report, before anyone sees a dashboard. |
| What is the first step, what does it cost, and what do I walk away with? | A fixed-scope assessment with a published starting price and defined deliverables. Open-ended discovery billed hourly is how budgets disappear. |
| What happens when Sage changes an export format at 2am? | Good pipelines fail loudly and someone is on the hook to fix them. Silent zeros in a report are worse than no report. |
| Which AI model, and where does my data live? | You want a specific answer: the model routed per task, the database, the hosting, who has access. "Our proprietary AI" is not an answer. |
| Who owns what when we part ways? | You should own the data, the connectors, the models, and the documentation, and be able to hand them to your IT provider. |
| Where does a human approve? | Any action that posts to a system of record should be drafted by the agent and approved by a person. A partner who says otherwise is either overpromising or underestimating your auditors. |
The decision, answered.
Built-in AI is enough for questions about data inside that one platform. The moment the question needs accounting actuals, payroll hours, or the estimate from another system, something has to join them first. Many contractors run both: the vendor's AI inside the tool, and a custom data layer with agents across tools.
An in-house data or IT hire makes sense at a size where there is a full-time backlog of internal work. Below that, most contractors get further with a fixed-scope build plus a monthly partnership, and the option to hand the stack to an in-house person later, which is why ownership of data and documentation matters in the contract.
Weeks, not quarters. A first dashboard in two to four weeks is realistic when the partner works on your existing systems read-only. If the first deliverable is a strategy document, ask when the first thing runs.
Omadli builds on the software a contractor already runs, reconciles every number to the books before showing it, keeps a person on every action that posts, publishes a $5,000 starting price, and leaves the client owning the stack. Judge it by the same eight questions above.