Four failure modes that cost R1 institutions millions every year.
These aren't edge cases. They're the predictable result of compliance data living across systems that were never designed to talk to each other.
What we build for research offices.
Every engagement is scoped to your specific system landscape. We don't sell packages — we solve the actual problem.
Start with a free audit →Compliance Data Audit
A structured 90-day engagement mapping every data flow between your IRB, IACUC, IBC, CITI, and ERP systems. We identify the gaps before your next federal audit does.
Protocol Automation
We build the integration layer your systems vendor said wasn't possible. Automated congruency checks, expiration alerts, and approval routing — without replacing your existing platforms.
ERP Migration Support
Research compliance data mapping, validation, and reconciliation for Banner, PeopleSoft, and Workday migrations. We preserve the audit trail your accreditation depends on.
Reporting Infrastructure
IPEDS, NSF, NIH, and internal dashboards built on your actual data. Real-time visibility into compliance status, protocol timelines, and training completion — for every stakeholder.
From audit to automation in five structured phases.
01
Discovery
We map your current system landscape — every platform, every integration, every manual workaround. No assumptions.
02
Gap Analysis
We identify the specific data flows that are broken, missing, or at compliance risk. You receive a written findings report.
03
Architecture
We design the integration and automation layer. You review and approve before we build a single line of code.
04
Build & Validate
We build in sprints with your team testing at each stage. No black-box deliverables.
05
Handoff
Full documentation, training, and a 90-day support window. Your team owns the system when we leave.
Active protocols tracked
across a single R1 engagement
Compliance rate achieved
up from 67% at engagement start
Systems integrated
without replacing existing platforms
Days to full automation
from discovery to production
"The data is already there. It's just not talking to itself."
I've spent years building data pipelines and AI automation systems. When I started working with research offices, I found the same problem everywhere: compliance data scattered across six systems, reconciled manually by one overworked coordinator.
Didaxis Group
Data Engineer · AI Engineer · Workflow Automation Expert
I build data integration systems, AI-powered automation workflows, and compliance reporting infrastructure for higher education research offices.
My stack includes Python, n8n, Claude AI, and direct API integrations with Kuali, Cayuse, CITI Program, and major ERP platforms. I've mapped research compliance data through Banner-to-Workday migrations and built automated congruency checks that previously required a full-time coordinator.
Common questions from research offices.
If your question isn't here, the assessment is the fastest way to get a specific answer.
Let's look at your actual data.
The free readiness assessment takes 8 minutes and gives you a written analysis of your compliance data infrastructure — no sales call required.
Take the free assessment →Or reach out directly
[email protected]