Your ABET self-study report, drafted from your evidence
Upload your evidence. dal.ai maps it to the right criteria and student outcomes, then drafts every section it can support — across all four ABET commissions: EAC, CAC, ETAC, and ANSAC. Every claim is traced to your evidence; you verify before submission.
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.
Disconnected Documentation
Student outcomes data, continuous improvement evidence, and assessment results scattered across spreadsheets, faculty computers, and filing cabinets.
"Closing the Loop" is Hard
Documenting that you actually used assessment results to improve your program - the most common ABET citation - requires evidence that's difficult to maintain across 6-year cycles.
Ongoing ABET accreditation support, powered by AI
Upload Your Evidence
Upload syllabi, assessment data, and continuous-improvement records — or enter data directly. dal.ai tags each file to the criteria and student outcomes it supports. Your program, your workflow.
AI Drafts From Your Evidence
dal.ai drafts every section your evidence supports — grounded in ABET's official criteria and self-study questionnaire for your commission. Every claim cites the evidence behind it; where the evidence isn't there, the draft stops and tells you what's missing.
Review, Verify & Export
Review the drafts, accept what's right, and see exactly what still needs evidence — organized by criterion, before gaps become findings. Export the finished self-study report as a PDF.
What's in the App
Outcome Alignment
Map course outcomes to your program's student outcomes — with optional performance indicators — across the whole curriculum. 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.
AI Evidence Evaluation
Upload syllabi, assessment reports, and supporting documents. AI evaluates each piece against ABET criteria and flags potential gaps for your review.
Criterion 4 Workflows
Document your continuous improvement cycles with a structured 4-stage process. Build a well-organized evidence record aligned with what ABET looks for — automatically.
Self-Study Report
Your evidence populates the self-study report automatically — every claim traced to its source. Export the finished report as a PDF.
Multi-User Team Access
Invite coordinators and faculty to collaborate. Program directors manage the program, faculty upload evidence — everyone 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.
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.
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.
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.
Request a DemoReady to see it in action?
Book a 30-minute demo. We'll walk you through the app and answer any questions about your program.
Frequently asked questions
dal.ai launches July 1, 2026. Book a demo now and we'll walk you through the platform with your program's context in mind.
dal.ai is available July 1, 2026. Book a demo now to see it in action and plan your program's onboarding.
Pricing starts at $399/month for a single program. Full pricing is on our pricing page.
All four ABET commissions — EAC (Engineering), CAC (Computing), ETAC (Engineering Technology), and ANSAC (Applied & Natural Science) — including 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.
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.
Yes. All data is encrypted in transit and at rest. We follow industry-standard security practices and will never share your program information. We're building toward SOC 2 compliance as we grow.
No. If you can upload a file and read a dashboard, you can use DAL. We designed it for program directors and department chairs, not IT departments.
dal.ai covers the full criteria spectrum — the General Criteria plus the discipline-specific program criteria — for all four commissions (EAC, CAC, ETAC, ANSAC). 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 — 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.