Platform Overview // AI Ops Platform

What this platform is, what it does, and why it matters for the company's SOC 2 readiness and AI integration goals.

$ ~/krawczyk.city/platform cat README.md --overview

What This Is

Centralized AI Operations Resource Center

This platform is a centralized internal resource center that consolidates AI tools, Copilot consoles, operational dashboards, agent governance materials, and compliance helpers into a single searchable hub. Built to directly support two priorities: SOC 2 compliance readiness and responsible AI integration across the organization.

This is not a third-party SaaS tool. It is internal IP — purpose-built for MSP workflows, clients, and compliance posture. Every component is designed around how engineers actually work: no unnecessary tool logins, full evidence capture, and Copilot-assisted decision-making that keeps humans in the loop.

Core Components

🤖

Copilot Consoles and Agents

Operational interfaces where engineers interact with Copilot to triage alerts, dispatch automation, and manage workflows — without logging into underlying tools directly. Includes the L1 Triage Console, agent tracker, and Copilot development planner.

📊

Operations Dashboards

SOC and NOC-facing views for real-time triage, ticket workload management, threat monitoring, and client health. Designed for the ROC/NOC team to operate at speed with full context, including BrightGauge integration and SOC 3-console flows.

🛡️

Security and Compliance Tools

Purpose-built utilities including the PII Sanitizer (strips sensitive data from AI inputs before submission), the Shadow AI Governance Console, and vendor stack dashboards for SentinelOne, Huntress, Mimecast, RocketCyber, Duo, and Keeper.

📚

Governance and Knowledge Base

Centralized reference materials for the AI committee and team: AI model guide (which engine to use for which query), Copilot engine guide, acceptable use documentation, glossary, and agent version tracking for responsible rollout accountability.

SOC 2 Alignment

✅

Compliance-Ready by Design

SOC 2 TYPE 2 // SECURITY + PRIVACY + PROCESSING INTEGRITY

Audit Trails

Every action dispatched through the Triage Console generates an evidence record automatically — remediation steps, timestamps, affected devices, and outcomes — without requiring the engineer to write a single note. This maps directly to SOC 2 Processing Integrity and Security criteria.

Human-in-the-Loop

Copilot recommends; the engineer decides. No automated action fires without an approval step. This satisfies SOC 2's requirement for human oversight of AI-assisted decisions and aligns with auditor expectations for explainable AI controls.

PII Handling Controls

The PII Sanitizer intercepts sensitive data before it reaches external AI models. This is a direct Privacy criteria control — it prevents inadvertent disclosure of customer or employee PII through AI workflows and provides a defensible policy artifact for auditors.

AI Version and Risk Tracking

The Agent Tracker maintains a version-controlled record of every Copilot agent deployed — what it does, who approved it, when it changed. This gives the AI committee and auditors a clear chain of custody for AI tooling, satisfying availability and change management criteria.

No Direct Tool Logins

Engineers work through the console rather than logging directly into SentinelOne, Intune, NinjaRMM, or other tools. This reduces privileged access surface area and makes access logging more consistent — both important for SOC 2 Access Control criteria.

Centralized Reference for Audits

The resource center consolidates governance docs, acceptable use policies, AI controls, and tooling references in one place. During a SOC 2 audit, evidence retrieval time drops significantly when everything is organized, versioned, and searchable rather than scattered across email and SharePoint.

Platform Map

COMPONENT REFERENCE

Triage Console

L1 engineer-facing interface. Copilot surfaces ranked alerts with context and suggested actions. One-click dispatch to the full stack. Full evidence logging on every action.

L1 // OPERATIONS

Copilot Dev Planner

Structured planning environment for designing, scoping, and approving new Copilot agents before deployment. Ties to the governance framework.

GOVERNANCE

Unified Platform

Top-level operations hub. Consolidates client health, open tickets, patch status, and alert queues across the entire MSP stack into a single view.

MSP OPS

SOC Consoles

3-console SOC flow plus live threat overview. Designed for concurrent use during active incidents — analyst, lead, and manager views in one coordinated layout.

SOC // SECURITY

PII Sanitizer

Strips or masks PII from text before it is submitted to any AI model. Designed for engineers who paste ticket content, client notes, or log data into Copilot workflows.

PRIVACY CONTROL

Shadow AI Gov Console

Visibility into unauthorized or untracked AI tool usage across the organization. Flags unapproved models, monitors for policy drift, and supports acceptable use enforcement.

AI GOVERNANCE

Agent Tracker

Version-controlled registry of all deployed Copilot agents. Tracks what each agent does, who owns it, approval history, and last-modified date. Key audit artifact.

VERSION CONTROL

AI Model Guide

Reference doc explaining which AI engine (GPT-4o, Claude, Gemini, etc.) is best suited for which query type, with token cost notes. Reduces cost and improves output quality across the team.

KNOWLEDGE BASE

Vendor Stack Pages

Dedicated reference dashboards for every tool in the stack: SentinelOne, Huntress, Mimecast, Duo, Keeper, NinjaRMM, FortiGate, Meraki, ConnectWise, Auvik, and more.

VENDORS // 18+

Copilot Engine Guide

Step-by-step walkthrough of how Copilot's orchestration layer works, how to write effective prompts for MSP workflows, and how results flow through the stack to execution.

TRAINING

Why It Matters

🏗️

Accelerates AI Adoption

Instead of each engineer figuring out AI tools independently, the resource center gives the whole team a single starting point — tested tools, governance guardrails, and reference docs already in place. Responsible rollout doesn't have to be slow rollout.

🔒

Reduces AI Risk

PII sanitization, human approval gates, version tracking, and acceptable use guidance aren't afterthoughts — they're built into the workflow. Engineers are protected from making compliance mistakes before they happen, not corrected after.

📋

Shortens Audit Cycles

SOC 2 audits are expensive and time-consuming when evidence is scattered. A centralized, organized hub with automatic evidence capture and version-controlled governance docs makes audit prep significantly faster and less stressful for the team.

1-Year ROI Calculator

NUMBER OF ENGINEERS

Based on 25 tickets/day
220 working days/year
15 minutes saved per ticket

CONSERVATIVE

$5.6M

82,500 hours saved

REALISTIC

$8.4M

123,750 hours saved

AGGRESSIVE

$10.1M

148,500 hours saved

Payback period: weeks • Loaded engineer cost: $120k/year

"This started as a way to solve real operational problems — but it turns out solving those problems the right way also builds the compliance foundation we need for SOC 2 and positions the company as genuinely AI-forward, not just AI-curious."

PLATFORM DESIGN INTENT // AI OPS PLATFORM