Adoption, governed.
30-Day Secure AI Adoption Sprint
Leadership wants AI adoption. Your team needs a safe way to make it happen. Hackademic Solutions helps you turn AI ambition into a governed, secure, and practical implementation roadmap — in 30 days.
The Mandate Arrived Before the Plan
AI adoption usually starts before governance is ready.
Employees are already experimenting with public AI tools. Vendors are switching on AI features in software you already pay for. Executives want the productivity gains they keep reading about. And the technology and security teams are expected to make all of it safe — often without a clear answer to a single one of these questions:
- •Which AI use cases should we prioritize first?
- •Which tools are actually safe to approve?
- •What data can and cannot be used with them?
- •What policies do we need, and who writes them?
- •What technical and security controls are missing?
- •Who actually owns AI governance here?
- •How do we enable adoption without creating risk?
- •What do we do in the next 30, 60, and 90 days?
The risk is not adopting AI. The risk is adopting it without clear ownership, approved use cases, data rules, security controls, and a practical roadmap. This Sprint closes that gap — so adoption moves forward with governance built in, not bolted on later.
Who This Is For
Built for CIOs, CTOs, VPs of Technology, IT directors, and security leaders asked to support AI adoption — and the CEOs, COOs, and founders who set the mandate and want it done without uncontrolled risk.
You were told to adopt AI
Leadership has set the direction. Now your team needs a practical plan that says what to do first, what to approve, and what to hold back — not a list of risks with no path forward.
You are preparing for a platform
You are rolling out or evaluating Microsoft Copilot, ChatGPT, Claude, Gemini, or AI features inside SaaS tools you already use — and you want governance ready before the switch flips, not after.
You want to get ahead of shadow AI
Unmanaged AI use is already happening. You want approved options and clear rules in place so people have a sanctioned path — instead of working around the ones you never gave them.
You need security built in from the start
You want privacy, data handling, and security controls designed into adoption from day one — not retrofitted after an incident or an audit finding forces the issue.
You are unsure which use cases to approve
There are dozens of things AI could do in your organization. You need help separating the practical, low-risk quick wins from the distractions that create exposure without much return.
You need IT, security, and the business aligned
Adoption stalls when technology, security, compliance, and business leadership are not on the same page. The Sprint produces one plan they can all agree to and defend.
Platform-aware, not platform-locked
The Sprint supports the tools your organization is actually adopting or evaluating — and stays vendor-neutral on which ones you should standardize on.
What You Get
An AI Adoption Roadmap and an AI Adoption Playbook — the documents your leadership, security, and technology teams need to move from "we should use AI" to "here is exactly how we will." Practical, governed, and written to be used.
AI adoption goals and priority use cases
Leadership's intent translated into a short, ranked list of use cases worth pursuing first.
Current-state readiness review
A clear picture of the tools, data, and controls you have today — and where the gaps are.
Approved / restricted / prohibited use guidance
A simple tiering of AI tools and use cases so people know what is sanctioned and what is not.
Data handling and sensitive-data rules
Plain rules for what data can be used with which tools, and what must never leave your control.
AI acceptable use policy starter kit
A practical, editable acceptable use policy your team can adopt and adapt — not a 40-page template.
Governance roles and responsibilities
Who approves, who reviews, and who owns AI governance — so accountability is clear from day one.
Risk register for proposed AI use cases
Each prioritized use case mapped to its risks, with the controls needed to make it acceptable.
Security and privacy control recommendations
The specific identity, access, monitoring, and data-protection controls that adoption requires.
Tool and platform readiness considerations
What to configure and verify before turning a platform on — Copilot, ChatGPT, Gemini, Claude, or SaaS AI.
30/60/90-day secure adoption roadmap
A sequenced action plan that says what to do now, next, and after — against your team's real capacity.
Executive briefing summary
A concise readout for leadership that shows progress, decisions, and what is being done about risk.
Practical next-step implementation plan
A clear handoff your team can execute — or that we can help operationalize through ongoing advisory.
How the Sprint Works
Four weeks, four phases. Each one ends with something concrete — and the whole engagement is scoped so it moves at the pace of the business, not against it.
Discover
Week 1We understand leadership's goals, where AI is already being used, what tools are in play, which data is sensitive, and what the business actually needs. The starting point is your real environment, not a generic checklist.
Prioritize
Week 2We identify practical AI use cases, assess the risk of each, and separate the quick wins from the risky distractions. You leave the week with a ranked shortlist worth pursuing — and a clear rationale for what was set aside.
Govern
Week 3We define the policies, data rules, ownership, approval workflows, and security and control requirements that make adoption safe. This is where AI acceptable use, data handling, and accountability stop being open questions.
Roadmap
Week 4We deliver the secure AI adoption playbook, an executive briefing, and a 30/60/90-day action plan. You finish the Sprint with a governed plan your team can execute and your leadership can stand behind.
What Changes After the Sprint
The point is not a document. The point is that adoption can move forward with the business behind it and the risk understood.
Clear AI adoption priorities your team can act on
Reduced uncertainty for leadership and the board
Better alignment across business, IT, security, and compliance
Practical governance without unnecessary bureaucracy
Safer, sanctioned use of AI tools across the organization
Reduced risk of sensitive-data exposure
A roadmap for secure implementation, not just a strategy deck
A foundation for ongoing AI governance
Where It Sits
From assessment to action.
The AI Posture Review is the diagnostic starting point — it shows what AI is already running, where shadow AI is hiding, and where your governance gaps are. The Secure AI Adoption Sprint is the next step for organizations ready to move from assessment to action.
If the AI Posture Review answers "Where are we now?", the Secure AI Adoption Sprint answers "What should we do next, and how do we do it safely?"
Step 1 · Diagnose
AI Posture Review
Where are we now?
Step 2 · Plan
Secure AI Adoption Sprint
What do we do next, safely?
Step 3 · Sustain
Governance Advisory
How do we keep it governed?
Fixed-Scope 30-Day Engagement
Starting at $9,500
Secure AI Adoption Sprint · fixed scope
A serious advisory engagement — scoped, sequenced, and delivered in 30 days.
Final scope and fee are confirmed in the consultation, based on the platforms in play, the number of priority use cases, and the teams that need to be aligned.
Schedule a ConsultationAdoption, governed.
Ready to adopt AI without guessing?
Turn leadership's AI mandate into a secure, practical roadmap. In 30 days, you get approved use cases, data and policy rules, the controls adoption requires, and a 30/60/90-day plan your team can execute.