The system of record for ABET accreditation
dal.ai organizes your assessment evidence, maps course outcomes to student outcomes, runs your Criterion 4 continuous improvement cycles, and drafts your Self-Study Report. Every claim is cited to your evidence. Every word is verified by you before submission. Built for all four ABET commissions: EAC, CAC, ETAC, and ANSAC.
45 minutes, your files, one cited paragraph, one gap. No credit card. It runs alongside the process you already have, and nothing reaches ABET until you approve every word.
ABET accreditation shouldn't be a scrambling sprint every 6 years
Too Late to Fix
You don't discover documentation gaps until 6 months before the site visit, when it's too late to collect missing evidence or implement improvements.
The Record Lives in One Person's Head
Syllabi on a shared drive, rubric results in a spreadsheet, the reasoning in someone's inbox or chat history. When that person moves on, the next coordinator inherits a folder and has to rebuild the story before the visit.
"Closing the Loop" is Hard
Criterion 4 asks you to show that assessment results led to real changes. That trail spans six years and several people, and it is hard to reconstruct after the fact.
Your program's record in one place, with the gaps in plain sight
Upload Your Evidence
Upload syllabi, assessment results, and continuous improvement records, or enter data directly. dal.ai proposes the criteria and student outcomes each file supports, and you accept or correct each one.
See Where You Stand
Coverage by student outcome and criterion builds up as you accept evidence and link it to courses, so you see the gaps while there is still time to close them.
Draft, Review, Export
dal.ai drafts self-study sections from accepted evidence only and cites the source behind every claim. Where the evidence is not there, the draft names what is missing instead of filling the gap. You review and approve every word, then export a PDF.
What's in the App
Dashboard
A prioritized view of what needs attention next, so nothing slips between site visits: cycle deadlines, coverage gaps, and evidence to re-verify.
Outcome Alignment
Map course outcomes to your program's student outcomes across the whole curriculum, with optional performance indicators. AI-assisted syllabus upload classifies your courses; you define your own student outcomes and enter performance indicators. See coverage and gaps at a glance, before gaps become findings.
Evidence Library
Upload syllabi, assessment reports, and supporting documents. AI proposes which criteria and student outcomes each file supports and quotes the passage behind it. You accept or correct it, and only accepted evidence reaches the report.
Criterion 4 Workflows
Record each continuous improvement cycle through four stages: assessed, evaluated, action taken, verified. Six years of decisions stay in one place, aligned with what ABET looks for.
Self-Study Report
Drafts each section from your accepted evidence, with every claim cited to its source and every missing item named. You approve it, then export a PDF.
What goes into an ABET Self-Study Report →Multi-User Team Access
Invite coordinators and faculty to collaborate. Program directors manage the program, faculty upload evidence, and everyone works in one place.
An assistant grounded in your evidence, not generic AI
A general-purpose AI tool answers from generic knowledge and can confidently invent a citation it can't support. dal.ai's assistant is different by design: it works only from the evidence you've uploaded and ABET's official criteria and self-study questionnaires for your commission. A chat window also belongs to one person. dal.ai keeps the evidence, the decisions, and the drafts in a shared workspace your coordinator, your faculty, and the next program director can all open.
With you at every step
Not a separate tool you go consult. The assistant is inside the work: evidence, drafting, continuous improvement, and answering 'where do I stand?'
Grounded in your program
It answers from your evidence and your commission's actual ABET requirements, and cites the source behind every claim.
It doesn't fill gaps with invention
When the evidence isn't there, it tells you what's missing instead of inventing. The discipline is the point.
Built to ABET's published AI policy
ABET has published where AI belongs in accreditation prep, and dal.ai is built to it, not bolted onto it. ABET permits AI-assisted tools to gather and summarize information, support assessment-data analysis, and help develop support materials. Those three permitted uses are dal.ai's three core jobs.
ABET also sets two hard rules: qualified personnel must verify everything, and AI must never replace human judgment. That's not a limit we tolerate; it's how the product works. dal.ai drafts each section from your evidence, but nothing is final until you approve it, and anything you haven't approved is flagged right in the report. You review, accept, and own every word before submission.
Built to the policy is one part of the answer. Built as the system of record your program lives in year-round, through every Criterion 4 cycle, every faculty change, every site visit, is the rest.
Our alignment is a method you can examine. Generated self-study output is checked against the official ABET commission PDFs using a dual-validator process, and each run is captured, dated, and pinned to the exact ABET source documents by SHA-256. If your procurement team asks how the output is checked against ABET's requirements, there is a documented answer, and I will walk them through it.
dal.ai is independently built to align with ABET's published AI policy. It is not endorsed, certified, or affiliated with ABET.
Built for ABET program directors and coordinators
EAC: Engineering
Engineering Accreditation Commission. Mechanical, electrical, civil, chemical, biomedical, aerospace, industrial, environmental, and other engineering programs.
CAC: Computing
Computing Accreditation Commission. Computer science, information systems, information technology, cybersecurity, software engineering, and data science programs.
ETAC: Engineering Technology
Engineering Technology Accreditation Commission. Mechanical, electrical, civil, and mechatronics engineering technology programs.
ANSAC: Applied & Natural Science
Applied and Natural Science Accreditation Commission. Applied science, natural science, and similarly named programs.
You are not betting your accreditation on us
Your current process keeps running.
dal.ai sits alongside the shared drive and the spreadsheets you already use. Nothing has to be migrated, retired, or decided before you can try it. If you stopped using dal.ai tomorrow, your program would be exactly where it is today.
Your evidence stays yours.
Every file you upload can be downloaded back as a single zip, with the original files and a manifest, and that export keeps working even after you stop paying. The software, the models and the methods stay ours. A six year accreditation cycle outlasts a lot of software, so your record should never depend on any one vendor staying in business, including this one.
The judgment stays with you.
dal.ai assembles, cites, and shows you what is missing. It does not decide anything and it does not submit anything. You review and accept every sentence, and anything you have not approved is flagged in the report itself. That is also what ABET's published AI policy requires.
Start with one program and one criterion.
Not a department rollout, not a committee decision, not a procurement cycle. One program director, a handful of documents, 45 minutes.
Founding programs
dal.ai is new, and I am looking for three programs to be the first. A founding program runs a 12 week pilot at no cost, on one program, alongside whatever you do today. We agree one goal in writing at the start, you name one owner who spends about two hours a month on it, and we put a decision call on the calendar for week 11 before the pilot begins. At that call you decide yes or no. There is nothing to cancel and nothing to unwind.
What I ask in return is candor, and if it earns its place, permission to say who you are.
Ask about a founding pilotSee it on your files before you buy anything
Bring 5 to 10 existing documents: a few syllabi, one rubric, your last continuous improvement notes. In 45 minutes we load them together. You leave with coverage gaps by criterion and one self-study paragraph that cites your files, or names what is missing. Shared screen is fine. No account required. You are not evaluating a vendor in that 45 minutes. You are looking at your own files.
Book a 45-minute sessionPrefer to start on your own? Create an account. Managing 11 or more programs? Contact us.
Why I'm Building This
Hi, I'm Sean, a software engineer who's spent the last year listening to program directors, coordinators, and deans talk about what ABET accreditation actually looks like from the inside.
The same themes keep coming up:
- •"Six years of assessment data is scattered everywhere: faculty laptops, old email threads, a filing cabinet nobody has the key to."
- •"Getting faculty to submit materials on time is a full-time job in itself."
- •"Generic accreditation tools make us do all the ABET thinking ourselves."
One program director told me:
"I'm seriously considering resigning to avoid the self-study work next year."
That one stuck with me. No one should want to quit their job to avoid accreditation prep.
I built dal.ai because accreditation shouldn't break the person holding it together. It should be the thing the software holds together, so the person can focus on teaching, research, and the work they actually signed up for.
See it on your filesFrequently asked questions
You would not, and I would not recommend it. A program deep into a self-study should finish the way it started. dal.ai is built to run in parallel: keep your drive, keep your documents, and use dal.ai to see where the evidence trail has holes while there is still time to fix them. It helps most for a program two to four years out from a review, not one six months out.
You download it. User Settings has an export that packages every file you uploaded, in its original format, with a manifest listing what is what. That export stays available after a subscription ends, so a lapsed account can still get its files out. There is no proprietary container and no export charge.
You do not have to, and that is deliberate. Your evidence stays your evidence, your process stays your process, and you can take your evidence files with you at any point. dal.ai earns its way into the work one criterion at a time. If you want to judge the output before anything else, the validation methodology is documented: generated self-study output is checked against the official ABET commission PDFs, and each run is dated and pinned to the exact source documents.
Yes. dal.ai is live. The best first step is a 45-minute session: you bring 5 to 10 existing documents, we load them together, and you leave with coverage gaps by criterion and one self-study paragraph that cites your files. If you would rather click around on your own, create an account and start a 14-day free trial at abet.dal.ai/register. If you want to see a finished program before either, take the 5 minute tour at dal.ai/tour. It is a fictional sample with real files and no login.
No. Registration, plan selection, and payment are self-serve at abet.dal.ai/register. I recommend starting with a session on your own files, because an empty workspace does not show you much. Either path is open, and neither is required for the other.
Pricing is per campus. One program is $4,389 a year, up to five programs $8,789, and up to ten $13,189. Annual plans include one month free and can be invoiced to your institution. Monthly billing is also available. Campuses with more than ten programs get custom pricing.
Each plan covers the programs at one campus. ABET accredits a program at a specific campus, so the same degree offered at two campuses counts as two separate programs, one at each location. If your programs run across more than one campus, contact us and we will scope the right setup for your campuses.
All four ABET commissions: EAC (Engineering), CAC (Computing), ETAC (Engineering Technology), and ANSAC (Applied & Natural Science). That includes each commission's General Criteria and official self-study questionnaire. dal.ai drafts each section from your evidence and cites the source behind every claim; you review and approve, and anything you haven't approved is flagged right in the report so nothing reaches ABET without your sign-off.
A general-purpose AI tool answers from generic knowledge and can confidently invent a citation it can't support. dal.ai works only from the evidence you upload and your commission's official ABET criteria and self-study questionnaire, and it cites the source behind every claim. Where the evidence isn't there, it tells you what's missing instead of filling the gap. A chat history also belongs to whoever typed it. dal.ai keeps your evidence, your outcome mapping, your continuous improvement cycles, and your drafts in one shared workspace that stays with the program when people change roles.
Yes. ABET's published AI policy permits AI-assisted tools to gather and summarize information, support assessment-data analysis, and help develop support materials, which is what dal.ai does. ABET also requires that qualified personnel verify everything and that AI never replace human judgment, so dal.ai drafts and flags while you review, approve, and own every word before submission. dal.ai is independently built to align with ABET's policy; it is not endorsed or certified by ABET.
Data is encrypted in transit and at rest. Documents you upload are processed by a commercial AI model provider under terms that do not allow your content to be used to train its models. We do not sell your information or use it for anything except running dal.ai for your program. dal.ai is not SOC 2 certified today; we are working toward it.
No. If you can upload a file and read a dashboard, you can use dal.ai. We designed it for program directors and department chairs, not IT departments.
dal.ai covers the full criteria spectrum for all four commissions (EAC, CAC, ETAC, ANSAC): the General Criteria plus the discipline-specific program criteria. When you set up a program, its commission and discipline are part of the configuration, so dal.ai works from the program-specific criteria that apply to it, not just the General Criteria.
Consultants bring deep expertise at specific moments: preparing for a site visit, writing an SSR, coaching through a difficult criterion. dal.ai solves a different problem: it's the system of record your program lives in year-round, so when a consultant or PEV walks in, your evidence is already organized. Many programs use both.
dal.ai is designed to complement your existing assessment tools, not replace them. Today you upload your evidence, meaning exports, reports, and documents from whatever systems you use, and dal.ai works from what you provide. Direct integrations with common assessment platforms are on the roadmap.