Technē Studio Group works on both sides of the higher education market. On one side: institutions trying to make AI strategy cohere across teaching, curriculum, and assessment. On the other: edtech founders, executives, and investors trying to reach those institutions and ship something institutions will actually adopt. Insight to impact, across three areas of focus.
Go-to-market strategy, planning, and partnership development
We know what institutions actually buy, what they don’t, and where the integration friction sits. North American higher ed has a procurement logic many edtech advisors miss (pricing, faculty governance, IT review, accessibility, LMS integration) and that misalignment is where pilots can stall. We help clients navigate those challenges and move from pilot to scale.
We help organizations supporting higher ed. (edtech, services companies, and allied partners), especially those focused on North America, with their Go-To-Market plans.
Buyer-readiness diagnostic — how an offering maps to actual institutional procurement: pricing model, ICP segmentation by institution type, LMS and SSO integration, accessibility, FERPA and IT review, faculty governance touchpoints.
Channel and partnership strategy — direct sales, OER consortia, system offices, publisher alliances, association partnerships. We map which channels to be in, which to avoid, and the sequence.
Pilot-to-scale design. Most institutional pilots succeed on the merits and stall on internal dynamics. We design pilots so the next purchase order is a question of when, not whether.
Fundraising readiness — diligence prep, narrative, market sizing, customer references.
Board and advisory engagements — ongoing counsel for founders and management teams.
For provosts, deans, online learning leaders, and faculty governance bodies.
We co-develop and deploy curriculum the institution owns outright. Online and hybrid programs are the institution’s most exposed surface — the place where curriculum is most easily commoditized, and where the difference between one institution and another can collapse into the difference between two LMS shells over the same vendor textbook. AI shifts the economics. Institutionally-owned curriculum is now buildable at a fraction of historical cost, with editorial control held by the faculty and the institution rather than rented from a publisher.
Institutionally-owned, OER, and commercial-hybrid curriculum — for editorial control, differentiation, and lower cost in online and hybrid programs.
Curriculum portfolio audit. Where is the institution paying the highest content rents? Where is editorial drift most pronounced? Which courses are candidates for self-publication, OER conversion, or commercial-hybrid?
Course development with AI-assisted production. Subject-matter faculty paired with our expert network — learning designers, editors, platform technologists. The institution owns the result.
OER and consortium strategy. Governance and sustaining economics that voluntarism alone cannot deliver.
Build-and-transfer. We build with you; we hand over ownership and operating capability when the work is done.
Intentional AI in the classroom
We help institutions move from policy ambiguity to working assessment architecture. The control variable shifts — from tool use, which cannot be monitored, to epistemic accountability: what the student can justify and defend. The partnership is tripartite — student, faculty, institution — bound by enforceable norms of justification and interrogation. AI is an instrument inside that system, not a partner.
For provosts, deans, faculty senates, and program directors deciding what their degrees will mean over the next five years.
Assessment redesign sprints. Course- and program-level redesign of high-exposure assessments. Take-home critique paired with timed oral defense; AI-examiner integration; auditable rubrics.
AI-examiner pilots. Faculty-defined, faculty-monitored, faculty-overruled. Recorded transcripts, instructor escalation for edge cases, evidence packages for accreditation review.
Faculty development at the program level. Brain-first, chatbot-second pedagogy translated into specific course practices.
Infrastructure of intentionality. Policy, governance, IT, and academic-affairs alignment. Cognitive-equity audits — because the distributional question is already live.