How to choose an AI implementation partner for an architecture and engineering firm

Precision AI OS helps architecture and engineering firms implement AI. A team connects the project, accounting, and email systems you already run, prepares one admin workflow, and leaves issued documents with your licensed professionals. You keep those tools.

Deltek, Autodesk, Newforma, and Procore publish AI features in their own software. Check the integrations in your plan, and bring in an implementer when one job has to cross them.

The routes an architecture and engineering firm can take

Compare the route, not a ranked list. Checked October 24, 2026.

• Software you license. Fits when the work stays inside one product. Ask Dela retrieves project, employee, firm, contact, and activity records from a conversational query. Procore’s Starter Pack includes an RFI agent that drafts RFIs from user input or database records. Newforma says Smart Email Filing suggests or files project email, and that Smart Search and Vojo are still being developed.
• Large consultancies. Fit a firm-wide program when the budget matches. Confirm the team and the price fit your firm.
• Specialist implementers. Fit when one workflow uses project files, accounting, and email together. Watch maintenance, permissions, and who issues the document.
• Internal build. Fits if engineers will own it. Upkeep stays with you. See build, buy, or have it built.

The architecture and engineering page describes what those products do. Turn that AI on before you hire anyone. Submittal review is one job a licensed professional still marks.

How Precision differs from the software you already license

Checked October 24, 2026. This is a difference in role, not a ranking.

Deltek, Autodesk, Newforma, and Procore each describe software a firm licenses. Ask Dela is a Vantagepoint assistant. Procore describes agents in its AI side panel.

Precision AI OS implements, integrates, and operates agents across the stack you already run. Managed is taking discovery calls now. Managed requires a minimum purchase of 100,000 credits, which is $2,550 a month on a 12-month agreement. Free, Team, and Enterprise are coming.

What to look for in an AI implementation partner

Use one live project workflow, not a demo on someone else’s files. Where to start is the filter: repeated work, written rules, and a person who can say the result is right.

1. One bottleneck. Pick a slice, such as RFI status or an invoicing pack, and measure time locating records, requests without an owner, and update preparation. No savings figure before your baseline.
2. Your versions. Discovery starts with the exact software, version, and permissions. Reading project records and writing updates back are separate checks. Where a contractor hosts the RFI platform, confirm what your firm’s login can export.
3. Project permissions. A person who cannot open a project in the system of record should not reach it through email or a file store. See data isolation.
4. Training terms, in writing.
   • Deltek says customers’ data will not be used to train large language models, and that firms can opt in and out of AI features.
   • Autodesk says that for certain features, training datasets include elements of customer content in aggregated and de-identified form, limited to common elements, industry standards, or other non-sensitive information. Ask which feature that sentence covers on your plan.
   • Require zero-retention, no-training terms in writing. That covers any model outside those products. See zero data retention.
5. Review, test, and exit. Licensed professionals issue drawings, calculations, and submittal responses. Test drafts on representative project files with your reviewers. Agree who runs the system, what you can export, and what happens to keys. Compare providers with how we protect client data.

How engagements usually work

• Strategy only. You get a plan. Your team builds it, or you turn on software you already license. AI strategy is this start when the workflow is still undecided.
• Build, then handoff. A partner builds a defined workflow and your team maintains it. Settle who owns it when a project-system version changes.
• Build and run. The partner operates and improves the system. Your people still review and approve. Managed AI is this model.

Precision AI OS is the third model. The work follows how we work: Discover, Build, Launch, then Run and grow.

How long does it take?

The architecture and engineering page does not publish a calendar.

1. Discover and define. Map one workflow, check permissions, and agree what a useful result looks like.
2. Build and test. Connect approved inputs and test drafts on representative project files with your reviewers.
3. Run and improve. Introduce the workflow, monitor exceptions, and compare results with the baseline before you widen scope.

Export limits on a hosted RFI platform, and reviewer time, are the usual reasons the sequence moves.

What stays with your team, and what’s out of scope

Technical approvals, engineering judgments, and issued documents stay with authorized professionals at your firm. So do software choices and seals.

A partner can assemble a project-status summary, organize an incoming request, or collect records for an invoicing pack. The person who is licensed to issue the work still decides. Submittal review keeps that mark with the licensee.

Questions to ask before you sign

1. Systems. What is read, what is written, and how is that confirmed for our versions?
2. Permissions. How do project permissions carry across the project system, documents, and email?
3. Training. What does each vendor’s current page say about customer content and model training, for the plan we pay for?
4. Approval. Who approves each output, and where is that recorded?
5. After launch. Who runs it, what does it cost, and can we export data and keys first?

The longer list is 12 questions for an AI vendor.

Where Precision AI OS fits

Precision is a specialist implementer. We work with businesses of every size, from small teams to enterprise. We build a data pipeline and a private Agent OS (AOS), then bounded AI agents for one defined job.

The architecture and engineering job we scope is organized project information, less staff time assembling submissions, and consistent proposal and invoicing packs. Reviewers still need the source documents and a clear handoff. Not a measured client result.

These are implementation opportunities, not completed firm projects.

Our most complete build so far is in tax. We built our own tax practice with Precision AI OS at its core. A person is in the loop for under five minutes per return. Not a client result.

Each firm’s data is isolated in the database and encrypted with keys unique to it, and every approval is recorded. See how we protect client data.

Where we’re not the right fit

• Already covered. Your project software’s AI already does the job. Use it first.
• You will own the build. See build, buy, or have it built.
• Self-serve. You want a tool your team configures. We build, run, and maintain the system.
• A finished audit today. Our controls are designed against SOC 1 and SOC 2 criteria, but we haven’t completed an audit yet. The security page says that plainly.
• Sealed engineering. We do not issue drawings, calculations, or submittal responses. Your licensed professionals do.

Book a discovery call to test one project workflow against your own files.

Guides for other firms

The accounting firm guide includes AI tools for accounting firms by job. Others cover an independent insurance agency and a law firm.

Steven de la Fe, CPA, is a co-founder of Precision AI OS. He has 20 years of tax and accounting experience and has helped build Taxfyle for the past ten years.