InTheCloud is an AI consulting and implementation partner for colleges and universities — student advising copilots, enrollment automation, research administration and campus service agents — proven in a lighthouse school and deployed in your own cloud with FERPA-aligned controls.
Our senior engineers work alongside campus IT and academic leaders to move AI from pilots to production across Banner, Workday Student, Slate and Canvas. Engagements start with a use case tied to retention, enrollment or staff capacity, prove accuracy in 4 to 8 weeks, and reach production with accessibility, privacy and governance in place.
We work with the provost's office, enrollment, student affairs and IT to choose use cases tied to retention, enrollment yield or staff capacity.
We connect to real student, course and policy data in one school or department and prove accuracy against an evaluation suite before scaling.
We harden the system for registration and enrollment peaks, integrate with campus identity and systems of record, and pass security, privacy and accessibility review.
We leave runbooks, governance and trained campus IT teams who can extend the platform to new schools and use cases.
Grounded answers on degree requirements, deadlines and policies, with early-alert signals routed to advisors and clean handoff to a person.
Inquiry response, application document intake and transcript extraction that shorten decision cycles while keeping counselors in control.
Grant search, proposal compliance checks and budget drafting support for sponsored programs offices, with every output traceable to its source.
Password, access and software requests resolved automatically through ServiceNow or your service desk, with escalation when needed.
Course design support, learner Q&A and program operations for continuing-education and online units, the fastest place to prove value.
Permission-aware search across handbooks, catalogs, policies and procedures so faculty and staff find the current answer, not an outdated PDF.
Delivered an AI agent platform for a top-tier research university with 40,000+ students, using the School of Continuing Education as the lighthouse school to prove the deployment model.
Read: Research university AI deploymentGolden datasets, rubric graders and CI release gates that let teams change prompts safely on sensitive records.
Read: Evaluation harness for regulated dataStudent and staff identity integration so AI tools respect the same permissions as campus systems.
Read: Identity and access modernizationSee how we combine applied AI, cloud modernization and software engineering in production.
See Relevant WorkA focused 4 to 8 week engagement designed to determine whether one enterprise AI workflow can create measurable production value before committing to a larger implementation. It produces:
When the evidence supports production, the engagement can continue into a Production AI Implementation or AI Engineering Pod.
Discuss an AI Proof of ValueWith a high-volume question that staff answer repeatedly: advising, enrollment, financial aid or IT support. The answers already exist in policy and systems of record, the quality bar is checkable, and the staff time saved is real.
Starting in one school — often continuing or online education — keeps governance simple and gives the institution a working reference before broader rollout.
Everything runs in your own AWS, Azure or Google Cloud tenancy. Models are called through enterprise endpoints with zero data retention, and the assistant only sees records the signed-in user is already allowed to see.
Every answer is logged for audit, and sensitive fields are redacted before they reach a model.
Student advising and success copilots, admissions and enrollment automation, research administration and grants support, IT and help desk agents, continuing-education program delivery, and grounded search across policies and catalogs.
Student records stay inside your own cloud tenancy. We design for FERPA from the start — role-based access tied to your identity provider, PII redaction, audit logging, and zero data retention with model providers.
Yes. We work with student information systems such as Ellucian Banner, Workday Student, PeopleSoft Campus Solutions and Slate, plus learning platforms like Canvas, Blackboard and D2L, through existing APIs and data feeds.
Student- and staff-facing surfaces are built to WCAG 2.1 AA and Section 508 expectations, and tested with assistive technology before launch.
That is how we recommend starting. A lighthouse school proves the deployment model, the governance and the outcome measures, then the same platform extends across the institution.
4 to 8 weeks to an evaluated prototype on your own data; production typically takes 3 to 6 months per use case depending on integration, security review and academic calendar.
End-to-end AI delivery for enterprise teams.
Resident services, case processing and records.
Multi-step agents, tool use and bounded autonomy.
MCP servers, agent loops and VPC deployment.
Retrieval, APIs, evaluation and reliability around the model.
Tell us about the engagement. We typically respond within one business day with a named Builder who can talk substance — not a generic sales pitch.
Prefer email? info@inthe.cloud
What happens next
