AI copilot audit
Leo AI Engineering Copilot Audit: Pro vs Enterprise Pricing, Vault Indexing and Zero-Data-Retention Security
Leo AI is a mechanical engineering copilot sold, as reported in 2025-2026, at about $19 to $39 per user per month on Pro, around $1,800 per user per year on Business, and custom pricing for Enterprise with on-premise or private cloud PLM integration. The price gap between tiers is mostly about where your CAD and PLM data goes and who can see it. This independent checklist covers what to confirm in the order form, the security questions to put in writing, and the ROI math to run before a team rollout.
01What changes between tiers, and why it matters more than price
AI engineering copilots are usually sold in three bands: an individual or Pro plan billed per user per month, a Business or team plan billed per user per year with admin controls, and an Enterprise plan with custom pricing that adds private deployment, single sign-on (SSO), and integration with your product data management (PDM) or product lifecycle management (PLM) vault. Leo AI's reported structure follows this pattern. The exact features in each tier change often, so treat the table below as the questions to answer from the current order form, not as a feature list.
For most engineering firms, the deciding factor is not the per-seat price. It is whether the tool may index your drawings, models and part data, where that index lives, and whether prompts and files are kept or used to improve the model. A $39 plan that sends proprietary assemblies to a shared cloud can be unusable for a firm under ITAR or a customer NDA, while a much more expensive private deployment may be the only option that passes your security review.
| Question | Pro (reported $19-$39/user/mo) | Business (reported ~$1,800/user/yr) | Enterprise (custom) |
|---|---|---|---|
| Admin console and seat management | Confirm | Confirm | Confirm |
| SSO and user provisioning | Usually not | Ask | Ask |
| Index of company PDM/PLM vault | Ask | Ask | Ask which vaults |
| Deployment location | Vendor cloud | Ask | Ask: private cloud or on-premise |
| Data retention and training use | Read the terms | Read the terms | Negotiate in writing |
| Security reports (SOC 2 Type II) | Ask | Ask | Request under NDA |
02Vault indexing: what gets read, copied and stored
A copilot becomes far more useful when it can search your own parts, drawings and past designs. That requires a connector to your vault, such as SOLIDWORKS PDM, Autodesk Vault, PTC Windchill or Siemens Teamcenter, or to shared folders. Indexing usually means the tool reads files, extracts text and geometry features, and stores an index or embeddings somewhere. That index can reveal a lot about your designs even if the original files never move.
Questions to ask
- Which vaults and file types does the connector support, and which versions of our PDM or PLM?
- Does indexing copy files, or only read them in place? Where is the index stored, and in which country?
- Does the connector respect vault permissions, so an engineer cannot retrieve a part they cannot open in the vault?
- Can we exclude folders, projects or customers from indexing?
- How is the index deleted at contract end, and will the vendor certify deletion?
- Does the connector need a service account with read access to everything, and how is that account secured?
Permission mirroring matters most in firms that hold several customers' data in one vault. If a copilot surfaces customer A's design to an engineer working on customer B, that can breach an NDA even when nothing leaves the company. The Leo AI vs Hestus vs Backflip comparison covers how mechanical copilots differ on integration depth.
03Security, retention and export control
Defense, aerospace and medical device teams face rules that most public cloud AI tools cannot meet by default. Technical data controlled under ITAR (22 CFR 120-130) must not be accessible to foreign persons without authorization, which affects where servers sit and who administers them. EAR-controlled data has related limits. ISO 13485 medical device quality systems require control over design records. Defense suppliers working toward CMMC 2.0 need to know whether a tool processes controlled unclassified information.
Ask for the vendor's current security documentation, such as a SOC 2 Type II report, under NDA. Read the data processing terms, not only the marketing page. Zero data retention is a contract term, so get it into the order form with a definition: whether prompts, uploaded files, outputs and logs are deleted, after how long, and whether any of it is used to train or tune models.
| Your regime | Minimum to require | Likely tier |
|---|---|---|
| Commercial, no customer NDA limits | No training on your data, documented retention | Pro or Business |
| Commercial with strict customer NDAs | Permission-mirrored indexing, folder exclusions, SSO | Business or Enterprise |
| ISO 13485 medical device | Audit logs, retention controls, validation evidence | Enterprise |
| ITAR / EAR / CMMC 2.0 | US-hosted private deployment, US-person admin, no external model calls | Enterprise private cloud or on-premise |
The aerospace and defense ITAR playbook explains how to separate controlled and uncontrolled design work when piloting AI tools.
04Worked example: 25 mechanical engineers, Pro vs Business
A machine builder has 25 design engineers at a burdened cost of $95 per hour, working about 46 weeks a year.
- Pro at the top of the reported range: 25 x $39 x 12 = $11,700 a year.
- Business at the reported figure: 25 x $1,800 = $45,000 a year.
Breakeven. One engineer-hour saved per week is worth $95 x 46 = $4,370 a year. Business breaks even at $1,800 / $4,370 = 0.41 hours, about 25 minutes per engineer per week. Pro breaks even at $468 / $4,370 = 0.11 hours, about 6 minutes.
Expected value. Suppose a pilot measures 1.5 hours saved per week for engineers who use the tool, mostly on finding existing parts and answering standards questions. If all 25 used it: 25 x 1.5 x $4,370 = $163,875. Real adoption is lower. At 50% active use, the value is $81,938, and Business returns $81,938 - $45,000 = $36,938 a year.
The Business case only beats Pro if the extra features, typically vault indexing and admin control, produce the time saving. If most of the gain comes from general engineering questions, Pro may capture it at a quarter of the cost. Measure the pilot by task, and run your figures in the AI CAD copilot ROI scorecard.
05How to run a pilot that produces a usable number
Vendor demos show the best case. A pilot shows your case. Pick 5 to 10 engineers across roles, not only enthusiasts, and agree on three or four tasks to time before and during the pilot: finding an existing part or drawing, answering a standards or material question, preparing a DFM review, and drafting a design note. Record minutes per task for two weeks without the tool and four weeks with it.
Keep the pilot inside your security rules. If the tier under test has not passed review, use only public or synthetic data, and do not connect the vault. That limits what you can measure, so note which savings depend on indexing and price them separately.
At the end, compute minutes saved per engineer per week, the share of engineers still using the tool in week four, and the error rate in suggestions that engineers had to correct. Ask the vendor in advance whether pilot fees are credited against an annual order, and get that credit in writing.
06Order form red flags, phrased as questions
- Is the price per named user, and can seats be reassigned when engineers change roles?
- Is there a minimum seat count or annual commitment on Business or Enterprise?
- Are usage limits, such as queries per month or indexed file counts, stated, and what happens when we exceed them?
- Is there a renewal uplift cap? AI tool pricing moves quickly, so ask for a cap on year-two increases.
- Are implementation, connector setup and private deployment billed separately?
- Does the vendor use third-party model providers, and do the same retention terms bind them?
- Can we export our configuration and any custom content at exit?
- Who is liable if the tool suggests a part or standard that is wrong? Expect the answer to be that engineering judgment stays with you, and keep design checks in place.
The last point is not a reason to avoid copilots. It is a reason to treat suggestions like any unverified input: an engineer in responsible charge still checks the result, which keeps sealed or released work inside your normal review process.
07Step-by-step audit checklist
- Classify your data: commercial, NDA-restricted, ISO 13485, ITAR, EAR or CMMC scope.
- Rule out tiers whose deployment model fails that classification.
- Get the current order form and data processing terms for the remaining tiers.
- Confirm retention, training use and subprocessors in writing.
- Request security documentation, such as a SOC 2 Type II report, under NDA.
- List your vaults and versions and confirm connector support and permission mirroring.
- Run a pilot with 5 to 10 engineers and measure time saved by task for four weeks.
- Compute breakeven minutes per week and expected value at realistic adoption.
- Negotiate a renewal cap, seat reassignment and a pilot-to-annual credit.
- Compare with the CAD seat spend you already carry, using the SOLIDWORKS renewal audit and regional benchmarks such as the Seattle aerospace corridor.
08Run the numbers: aI CAD and engineering copilot ROI and ITAR / IP security scorecard
The same benchmarks as this sheet, with your inputs. Share link and printable brief open the full calculator page.
Benchmarks are typical 2025-2026 market ranges compiled by Engineer Aid, an independent desk not affiliated with the vendors named. Quotes vary by region, volume and timing; nothing here is legal, tax or engineering advice. Revised 2026-11-06.
Questions buyers ask
How much does Leo AI cost per engineer?
Reported 2025-2026 pricing is about $19 to $39 per user per month for Pro, around $1,800 per user per year for Business, and custom pricing for Enterprise. Confirm current pricing and seat minimums in your quote, since AI tool pricing changes often.
How much time must an AI CAD copilot save to pay for itself?
At a $95 burdened hourly cost and 46 working weeks, a $1,800 per year seat breaks even at about 25 minutes saved per engineer per week. A $39 per month seat breaks even at about 6 minutes. Measure real savings in a pilot before rolling out.
Can an ITAR-regulated team use a cloud AI engineering copilot?
Usually only through a private deployment that keeps controlled technical data on US-hosted infrastructure administered by US persons, with no calls to outside model providers. ITAR rules in 22 CFR 120-130 restrict foreign-person access. Confirm the deployment and subprocessor details in writing.
What should zero data retention mean in an AI tool contract?
It should define whether prompts, uploaded files, outputs and logs are deleted, after how long, and whether any of it is used to train or tune models. It should also bind any third-party model providers. Get it into the order form, not only the marketing page.
Does connecting an AI copilot to our PDM vault expose customer data?
It can if the connector does not mirror vault permissions. Ask whether indexing copies files, where the index is stored, whether folders can be excluded, and whether an engineer can retrieve parts they cannot open in the vault.