Your team is already using AI. The question is whether your data is safe while they do.
SAKA gives you a governed AI knowledge system designed for private deployment, role-based access, audit logging, and safer team adoption — so AI can move faster without turning into a security fire drill.
SAKA turns your approved business documents, SOPs, policies, and internal knowledge into a private AI assistant your team can safely use.
They're pasting client contracts into ChatGPT. Uploading sensitive files to free AI tools. Asking AI assistants questions that need access control, visibility, and governance.
You didn't approve it. You don't know it's happening. And right now, you have no audit trail.
The real cost is not just AI risk. It is losing control over how business knowledge, client data, and internal decisions move through your company.
Unapproved AI tools can create data-handling risk. Client records, internal documents, contracts, and financial details may land in places your team cannot audit, govern, or explain later.
Regulated and contract-heavy businesses need documented controls. HIPAA, SOC 2, client NDAs, and internal policies all require a defensible answer for where data goes and who accessed it.
No log of what your team asked. No record of what data was submitted. No way to answer "what happened" in an audit.
When your best people leave, their knowledge goes with them. No system captures what they knew. SAKA does.
Start with the MSP demo now. Law office, medical office, and SMB walkthroughs will be added as separate Loom videos so each buyer sees SAKA through their own workflow.
How an MSP can package SAKA as a secure AI assessment and deployment offer for clients.
Start here if you are an MSP looking for a secure AI service you can offer to clients.
How SAKA can support internal knowledge, templates, intake workflows, and confidentiality-focused operations.
How office teams can use governed AI for approved procedures, policies, and repeatable staff questions.
How growing teams can turn SOPs, PDFs, and shared-drive knowledge into safer internal answers.
Use-case examples and screenshots will be added after the first recorded demos and pilots.
SAKA can run on your hardware or in a private cloud environment, depending on the deployment. The goal is simple: keep business knowledge inside a controlled system your team can govern.
We ingest approved documents, SOPs, policies, and internal knowledge sources. Access rules define what each user can retrieve, so the assistant responds within the lane you set.
Your team gets trained on how to use AI safely. Role-based access, usage logs, and retrieval controls help leaders see what is being asked, answered, and accessed.
Your clients are going to use AI whether you help them or not. SAKA gives you a deployable, white-labelable AI solution you can offer as a managed service — without building anything from scratch.
You don't need a data science team. You need AI that knows your business, stays on your terms, and doesn't put your clients at risk. SAKA is that — managed, governed, and private-deployment ready.
MSPs can package this as an AI risk assessment, governed AI pilot, or monthly managed AI advisory service.
SAKA is not trying to be a generic chatbot for everybody. It is built for teams where internal knowledge, client information, access control, and auditability matter before AI gets rolled out wider.
Organize policies, templates, intake materials, and internal procedures without pushing confidential work into unmanaged AI tools.
Support staff with approved workflows, policies, and internal knowledge while keeping governance, access, and auditability front and center.
Offer secure AI deployment as a new client-facing service without building the full platform from scratch.
Capture operational knowledge before it walks out the door and give teams faster answers from approved documents.
The red-team question is simple: what happens when the wrong person asks the wrong question or uploads the wrong file? SAKA is built around that question from day one.
Users only retrieve knowledge they are allowed to see. Sales, operations, leadership, and technical teams can have different access lanes instead of one wide-open AI box.
Leaders need visibility. SAKA is designed to record user activity, questions, and retrieval behavior so AI usage can be reviewed instead of guessed at after something goes wrong.
AI systems can be manipulated by malicious instructions hidden in documents or user prompts. SAKA is positioned around safer retrieval, tighter scope, and practical governance.
SAKA should answer from approved business documents, not random internet noise. That keeps responses closer to your policies, procedures, client expectations, and real workflows.
Deployment can be planned around your risk tolerance: local hardware, private cloud, or controlled infrastructure. The point is to reduce uncontrolled third-party AI exposure.
SAKA does not replace policy, judgment, or leadership. It gives teams a safer AI lane, while your business keeps ownership of rules, approvals, and accountability.
SAKA is not magic, and it is not a compliance certificate by itself. It helps support a stronger AI governance posture through private knowledge retrieval, access control, logging, training, and deployment workflows. That is the difference between “everybody just use ChatGPT” and “we know how AI is being used in this business.”
Public AI tools can be useful, but unmanaged usage leaves leadership guessing. SAKA is positioned as the governed lane: approved knowledge, defined access, and visibility into how AI is being used.
Until real client case studies are published, these are the practical outcomes SAKA is built to support during a controlled pilot.
Give employees a safer lane so they are not forced to rely on unmanaged public AI tools for business questions.
Turn SOPs, policies, PDFs, and shared-drive documents into a searchable internal knowledge assistant.
Help leaders understand what teams are asking, what knowledge is being used, and where process gaps keep showing up.
Move from random AI experimentation to a documented pilot with access rules, training, logging, and governance expectations.
The fastest path is not selling SAKA to everybody. It is putting it in front of organizations that already feel the pain: scattered knowledge, sensitive documents, client risk, and employees quietly using public AI tools.
Built by Bernard Gleton — Detroit-based Applied GenAI Engineer, IT instructor, former professional athlete, and 15+ years across IT, security, training, and AI implementation.
That mix matters because secure AI is not just a software problem. It is a people, process, training, and risk-management problem.
SAKA comes from real-world experience in systems administration, incident response, security awareness, and technical training. The goal is simple: help businesses use AI without losing control of their data, knowledge, or governance.
I built SAKA because I watched organizations rush toward AI without thinking about what happens when it goes wrong. Governance isn't a feature — it's the foundation. SAKA is designed around secure implementation, access control, logging, training, and practical compliance conversations from the start — not as an afterthought.
Bring the messy version of how AI is already showing up in your business. We will review your risk level, document environment, current AI usage, and whether SAKA makes sense for a governed pilot.
After the assessment, you’ll receive one clear recommendation: no-fit, policy-first, pilot-ready, or full SAKA deployment path — so you know the safest next move before spending money on AI.
30 minutes. We look at your current AI risk, document environment, and what a governed pilot would look like.
Book AI Assessment →Not ready to call yet? Drop your info and ask for the MSP, law office, medical office, or SMB breakdown.