Human-Centered Infrastructure for Institutional AI
Prepare people. Redesign work. Govern AI. Verify results.
A platform for institutions that need AI to strengthen the people, decisions, and work they are accountable for.
The Institutional AI Challenge
Institutions face harder questions than which AI model or tool to purchase.
AuditDraft Platforms is designed around these questions.
Featured platform layer
The institutional intelligence, measurement, governance and cross-application orchestration layer that turns the portfolio into a platform.
“How does leadership see what is happening across the institution and know whether AI-enabled initiatives are producing results?”
Applications
Each application has a distinct job. Together, they create a coherent way to prepare people, redesign work, govern decisions and strengthen institutional capacity.
Collection
Help learners and workers develop the knowledge, judgment and verification capability required to work effectively with AI.
AI readiness and human-capability development for students and educational institutions
Example: Show whether a student can complete a task without AI, then whether they can complete it well with AI — and document the difference.
“Are learners prepared to use AI without losing independent capability?”
Starting at $18,000/year
Workforce AI readiness, capability assessment and AI Dependency Risk
Example: Give a department a role-specific readiness baseline so managers can see where capability exists and where training is needed.
“Is the workforce actually ready to work effectively and responsibly with AI?”
Starting at $24,000/year
Clinical learning, certification readiness and faculty-verified competency
Example: Require clinical reasoning and faculty verification before a learner's AI-supported performance counts as competency.
“Is the learner actually ready for clinical responsibility?”
Starting at $18,000/year
Collection
Determine what people should do, what AI should do, where verification belongs and who retains decision responsibility.
AI Workflow Translator™ for deliberate human-AI work allocation
Example: Turn 'Use AI to improve grant development' into a defined workflow showing what staff do, what AI supports, where verification occurs, who decides, and what happens when AI is wrong.
“What should people do, what should AI do, and where must humans verify and decide?”
Starting at $30,000/year
Dental workflow redesign, AI governance and professional-capability preservation
Example: Identify the tasks inside a practice workflow that should stay with the clinician even when AI could perform them.
“How should the practice redesign work around AI without weakening professional judgment or capability?”
Starting at $24,000/year
Collection
Make AI-supported work reviewable, accountable and defensible.
Human-controlled document review, editorial accountability and AI assistance audit trails
Example: Every editorial suggestion is accepted or rejected by the author, and the decision record shows who reviewed what.
“How can AI assist with documents without surrendering human authorship and accountability?”
Starting at $18,000/year
Collection
Connect initiatives, evidence, outcomes, claims and AI governance into executive intelligence.
Institutional intelligence, measurement, governance and cross-application orchestration
Example: Bring readiness, workflow, and funding signals into one executive view so leadership can see whether an initiative is producing results.
“How does leadership see what is happening across the institution and know whether AI-enabled initiatives are producing results?”
Starting at $48,000/year
Collection
Transform fragmented funding and advancement activity into structured institutional intelligence and workflow.
Funder discovery, opportunity intelligence, grant CRM and proposal-development support
Example: Score an opportunity for fit and timing so a team can document a pursue-or-decline decision before committing effort.
“Which funding opportunities should we pursue, and how do we move them toward submission?”
Starting at $18,000/year
Grant lifecycle administration, institutional research capacity and CRM interoperability
Example: Track an award from opportunity through closeout with compliance, budget and reporting visible in one place.
“How can institutions manage grants systematically from opportunity through closeout?”
Starting at $24,000/year
Prospect and advancement intelligence with structured cultivation and next-action workflow
Example: Turn relationship history into a ranked set of next actions for the advancement team.
“Which prospects deserve attention, what should happen next, and why?”
Starting at $24,000/year
Platform architecture
AuditDraft Platforms is built around a common institutional AI architecture. The applications address different institutional problems while sharing important principles and capabilities: human capability preservation, human-first practice, AI readiness, human-AI responsibility allocation, verification, decision ownership, evidence, auditability, governance, measurement, interoperability. This creates an integrated approach to institutional AI adoption rather than a collection of disconnected AI tools.
PREPARE PEOPLE
AI Ready K–16™ | AI Ready Workplace™ | DentalReady™
REDESIGN WORK
FlowPilot™ | DentalFlow™
GOVERN & VERIFY
AuditDraft™
MEASURE & ORCHESTRATE
Cohesion IQ™
APPLY TO MISSION-CRITICAL WORK
FundingIQ™ | GrantsAdmin™ | Visionary Grant Lens Flow™
The intelligence is in the architecture
The sophistication of AuditDraft Platforms is not simply the use of artificial intelligence. The applications incorporate domain-specific decision logic, human-review controls, structured workflows, verification requirements, evidence systems, governance rules and institutional measurement.
Translates an organizational goal into tasks, sequencing, human responsibilities, AI responsibilities, checkpoints, decisions and verification.
Distinguishes AI-assisted performance from independent human capability.
Requires human clinical reasoning and faculty verification rather than treating AI output as evidence of competency.
Evaluates whether AI is being assigned responsibilities that should remain human.
Preserves explicit human acceptance or rejection of AI-supported editorial recommendations.
Connects measurement, claims, outcomes and AI governance across institutional applications.
Pricing / shop by path
AuditDraft Platforms is licensed for institutional use. Pricing depends on application scope, organizational size, implementation requirements, integrations and support.
SINGLE APPLICATION
Start with the institutional problem that matters most.
Starting at $18,000/year
Explore the ApplicationINTEGRATED SOLUTION
Combine readiness, workflow, governance, funding or intelligence applications around a defined institutional objective.
Starting at $60,000/year
Discuss Your NeedsAUDITDRAFT INSTITUTIONAL AI PLATFORM
Combine Cohesion IQ™ with selected readiness, workflow, governance and domain applications.
Starting at $125,000/year
Discuss Enterprise DeploymentPILOT PROGRAMS
For organizations that want to evaluate an application with a defined population, problem, implementation period and measurement plan before broader deployment.
ENTERPRISE
For multi-campus systems, statewide initiatives, large enterprises, complex integrations or multi-application deployments.
Annual license pricing does not necessarily include implementation, customization, integration, training or professional services. Final pricing is based on scope.
Outcomes
From AI experimentation → Governed AI implementation
Move from scattered use of AI tools to defined responsibilities, controls and accountability.
From uncertain readiness → Documented human capability
Understand what learners and workers can do independently and how effectively they work with AI.
From informal AI use → Deliberate human-AI workflows
Make explicit what people do, what AI supports, where verification occurs and who decides.
From activity → Evidence
Connect implementation to measurable outcomes, documented decisions and reviewable evidence.
Why AuditDraft
Keep the people doing consequential work visible, capable and responsible.
Make the division of labor between people and AI an intentional institutional choice.
Place review and evidence where they can protect the quality of a decision.
Keep accountability with the person or institution authorized to decide.
Use AI in ways that strengthen judgment and competence over time.
Make the work, claims, decisions and supporting evidence reviewable.
About the platform
AuditDraft Platforms was developed around a simple proposition: AI should increase human capability without weakening human judgment, competence, authorship or accountability. The platform translates that principle into practical applications for education, workforce development, organizational workflow, funding and advancement, document integrity, and dental learning and operations.
Audience
Readiness, governance, and institutional capability as AI enters learning and operations.
Practical readiness and workflow redesign where competence and professional judgment matter.
Funding intelligence, grant administration, and accountable work across the advancement cycle.
Get started
Tell us what your institution is trying to accomplish. We'll identify the application or combination of applications most relevant to the challenge and tailor the demonstration accordingly.
Let's discuss what your institution is trying to accomplish.
Terry Mills, Ph.D. responds personally.