Stop AI Sprawl.
Start Secure AI.
One secure, governed AI platform for your entire organization — provisioned, supported, and optimized by Mytech Partners. Empower your team without compromising your data.
POWERED BY ENTERPRISE-GRADE MODELS
The "AI Sprawl" Problem?
Employees are adopting random AI and LLM tools on their own. This creates a nightmare for IT, security, and consistent business operations.
Inconsistent Results
Ad-hoc prompts across personal accounts lead to varying quality and untraceable workflows.
Shadow IT & Data Risk
Proprietary company data is being pasted into public models, putting IP at risk of being used for training.
Zero Governance
No visibility into who is using what, how much it costs, or if it complies with your company’s security posture.
What Does Mytech's Secure AI Platform do?
Get one approved AI platform with the guardrails, security posture, and support needed to roll it out responsibly—without slowing your people down.
Secure Daily Workspace
A centralized hub for drafting, summarizing, analysis, ideation, SOPs, and internal communications.
Governance & Controls
Usage is consistent and auditable, replacing ad-hoc prompts across fragmented personal accounts.
Multi-Model Approach
Choose the right model for the right task (OpenAI, Anthropic, etc.) within one controlled platform.
Enterprise Security
Strict 'do not train on your data' agreements, SOC 2 Type II compliance, and robust enterprise security controls.
One Platform, Multiple AI Models, Built-In Security
How do you give your team access to tools like ChatGPT, Claude, and other leading AI models without losing control? Shadow AI is already happening in your organization. In this webinar, we explore how Secure AI prevents data spillage, controls costs, and keeps your team productive, all while giving IT the visibility and governance it needs.
Why Our Secure AI Platform vs. "Bring Your Own Tool"
When everyone buys their own AI subscriptions, your company loses control. Our solution centralizes power while distributing capability.
Reduced Data Risk
One sanctioned platform with secure access and consistent guardrails replaces dozens of rogue accounts.
Standardization
Shared practices and repeatable workflows so teams get consistent outputs and improved quality.
Security & Compliance
SOC 2 Type II compliance and enterprise security controls suitable for strict business environments.
The "Secured" Part
When everyone buys their own AI subscriptions, your company loses control. Our solution centralizes power while distributing capability.
Provisioning & Config
Setup under our secured standard with appropriate permissions.
Team Onboarding
Live sessions to get your workforce logged in and comfortable.
Intro Training
Recorded fundamental training available for repeat viewing.
30-Day Follow-Up
Q&A session to tune adoption, usage patterns, and workflows.
How Workflows Operate
Triggers & Inputs
A workflow begins with a specific trigger — a user submitting a form, uploading a document, receiving an email, or any other defined event. The trigger kicks off the chain automatically.
Step-by-Step Execution
The workflow runs through a predefined series of steps. For example: extract text from a document, send to an LLM to summarize, pass the summary to another LLM to translate, format the result as an email draft.
Tool Integration
Workflows can call external APIs, run custom Python code, and connect to third-party tools at any step — allowing data to flow between systems without manual intervention.
Example: A Document Converted To A Multilingual Email
Trigger
User uploads
a document
Step 01
Extract text from
a document
Step 02
Summarize with Large Language Models
Step 03
Translate to the
target language
Step 04
Format as an
email draft
Step 05
Ready to send
— every time
Why Workflows Change Everything
The instructions and steps are hardcoded into the workflow — so the AI produces highly consistent, reliable results every time, at scale.
Consistency & Standardization
Hardcoded steps mean the AI produces the same high-quality output every time — eliminating variability from manual prompting.
Scalability
Once built, a workflow processes high volumes of inputs simultaneously — no additional human effort required as your needs grow.
Increased Efficiency
Repetitive, time-consuming tasks run automatically. Your team focuses on high-level strategy and review instead of manual data processing.
Reduced Human Error
Automated data transfer between tools and steps eliminates copy-paste mistakes, missed steps, and inconsistent formatting.
Ready -To-Use Workflow Examples
CONNECTS WITH YOUR EXISTING STACK
42+ Built-In Integrations
Workflows can pull data from and push results to the tools your team already uses — no middleware required
AI & Research
Google Workspace
Productivity & Collaboration
Develop, Social & More
Transparent Pricing
Choose the plan that fits your team’s AI usage. All plans include the full platform — pricing scales with monthly credit volume.
Starter
- 100,000 credits/mo
- Supports approx. 20–50 active users
Small/Medium Businesses
- 250,000 credits/mo
- Supports approx. 50-125 active users
Business
- 750,000 credits/mo
- Supports approx. 150-375 active users
Professional
- 1,500,000 credits/mo
- Supports approx. 300-750 active users
Please note that a one-time onboarding fee applies in addition to your chosen plan
Implementation & Onboarding
$2,000 one-time fee
Provisioning and tenant setup, live and recorded training, plus a 30-day follow-up Q&A to optimize adoption.
What is a Credit?
Credits are calculated using two factors that roll into one formula:
Token count (Input + Output)
The number of tokens processed varies by how long your prompt and response are. The LLM selected also affects the per-token cost — premium models cost more per token than efficient ones.
Actions taken
Additional operations such as API calls, web scraping, and file uploads each consume a small number of credits on top of token usage.
What shapes chat complexity?
The credit cost of a conversation goes up with any of these factors:
Number of messages exchanged back and forth
Length of each individual message
Complexity of the content being processed
Additional actions within the chat (e.g. file uploads, web lookups)
Which AI model is selected — premium models cost more per interaction
Estimated Users Per Plan
Because credits are shared across your organization, usage patterns vary. A typical active user might consume 2,000–5,000 credits/month doing regular daily AI tasks. Power users running long sessions or file-heavy work will use more.
|
Plan
|
Credits/mo
|
Casual users
|
Active users
|
|---|---|---|---|
|
Starter
|
100K
|
~50 users
|
~20 - 50 users
|
|
SMB
|
250K
|
~125 users
|
~50 - 125 users
|
|
Business
|
750K
|
~375 users
|
~150 - 375 users
|
|
Professional
|
1.5M
|
~750 users
|
~300 - 750 users
|
Casual = ~2,000 credits/mo | Active = ~2,000–5,000 credits/mo | Credits reset monthly — unused credits do not roll over
Real-world Usage Examples
Credit consumption varies widely based on the model selected, message length, and complexity. Here are reference ranges from Mytech Secure AI Platform:
Summarize a Single-Page Document
~500 words in → ~100 word summary out
Typical AI Chat Conversation
Varies by LLM, message count, and length
Longer or More Complex Session
Multi-turn research, drafting, analysis with file uploads
Source: Mytech Secure AI Credit Usage FAQ. Actual usage will vary based on model selected and task complexity.
0-100% of Credits Used
Full access to all AI models — standard and premium. No restrictions.
100-150% — Overrun Mode
No additional charge. Your team keeps working — higher-cost premium models are automatically throttled. Efficient models remain fully available.
Consistently Over 150%?
We’ll reach out to recommend upgrading to the next tier — keeping your team fully productive without interruption.
Stop AI Sprawl Today
Start your secure AI journey by empowering your team without compromising your data.
