Secure connectors
MCP servers and API connectors for your email, calendar, CRM, accounting, and internal databases.
AI System
AI Integrations & MCP
AI that works safely inside the systems you already run, with every action scoped and logged.
For companies and software teams that want AI working inside Google Workspace, HubSpot, QuickBooks, and internal databases without handing it unrestricted access.
Reply within 24 hours. First agent, price, and timeline. No obligation.
AI integrations connect language models to your business systems through secure connectors, often built on the Model Context Protocol (MCP). Each connection has defined permissions, approved write actions, and an audit log.
You need this when
The signs it is time.
- Staff paste company data into AI chat tools because nothing is connected.
- You want AI to update records but cannot risk it writing without checks.
- Your product needs AI features that call your own APIs and data.
- Security wants to know exactly what the AI can read and change.
What we build
Modules, delivered in phases.
Permission scopes
Read and write access defined per tool and per role, starting with the least access that works.
Approved write actions
Record updates, emails, and tasks proposed by AI and confirmed by a person before they happen.
Audit logs
Every read, suggestion, and approved action recorded so you can see what happened and why.
Model choice
Claude, OpenAI, or both, selected per task, with your data kept within the providers you approve.
How it starts
System Blueprint first.
Every AI System starts with a paid System Blueprint ($1,500-$5,000, credited against the build). In one to two weeks we map the current workflow, the first release, user roles, integrations, and risks, then give you a fixed quote for phase one.
Agents that run inside this system: AI Operations Assistant, Finance Operations Agent, Compliance & Audit Agent, Document Intake Agent.
After launch, Managed AI Operations (from $1,000/month) keeps the system and its agents accurate. You own everything we build.
Proof
Work we have already shipped.
Google Workspace MCP
Client brief assembled from Gmail, Calendar, and Drive
3connected Google apps
6step review sequence
1approval before any change
HubSpot MCP
Account history turned into a reviewable next action
4HubSpot record types joined
3review flags per account
1approval before every CRM write
QuickBooks MCP
Invoice and payment context ready before the follow-up
5QuickBooks record types read
6step review sequence
0autonomous money movements
Business OS + Antheon
An AI assistant connected to sales, tasks, calls, and finance
8predefined queries
7day task window
12recent lead/task limit
2interfaces: voice and chat
Common questions
Before you start.
How much do AI integrations cost?
Integration projects typically range from $10,000 to $30,000, depending on the number of systems, write actions, and security requirements. Scope and price are fixed after the System Blueprint.
How long does it take?
A first integration with read access and one approved write action ships first, on a fixed timeline set in the System Blueprint.
What is the System Blueprint?
A paid discovery step ($1,500-$5,000, one to two weeks) where we map the systems, permissions, and actions involved and quote a fixed build. The fee is credited against the build.
Who owns the connectors?
You do. The MCP servers, connector code, and configuration are yours and can run in your own environment.
Can agents run on these integrations after launch?
Yes. Every AIOVIX agent runs on this layer. Managed AI Operations keeps connectors working as vendor APIs change and adds new actions each month.
The Agent Audit
Get my free Agent AuditScope the system properly.
Start with the free Agent Audit. If a bigger system is the right move, we will recommend a System Blueprint with a fixed price.