Business AI. Built around you.
AI that knows
how your
business works.
Seventh Dimension Consulting Inc. builds AI systems for companies. From hardware and company data to custom ERP, we connect a central AI brain with the teams, tools, and workflows that keep your business moving.
YOUR OPERATIONS. YOUR POLICIES. YOUR AI SYSTEM.
Built for the way your company operates.
AI systems
Hardware & IT
Custom ERP
What we build
The whole system.
Working together.
AI works best when it fits the business around it. We bring infrastructure, company knowledge, software, and operating rules into one coordinated system.
01
Business AI systems
A main AI brain that coordinates work across your organization, with delegated agents and subsystems for defined roles, departments, and tasks.
02
Hardware, IT & cloud
Build the infrastructure the system needs: on-site hardware, networking, and IT, or cloud services. Choose the deployment around your data, workload, and operating needs.
03
Custom ERP & company data
A company database and an ERP built around how your business actually runs. Connect information, workflows, and AI to the processes your team uses.
04
Implementation & ongoing support
Translate policies and SOPs into operating rules. Test the system, hand it over, train your team, and maintain it as your business changes.
Who we build for
Different businesses.
Different requirements.
The starting point is your operation. We define the system around the people, information, responsibilities, and processes specific to your industry.
Hotels
Guest service, front desk workflows, maintenance coordination, and operational information.
Industrial businesses
Production workflows, job information, purchasing, equipment records, and operational SOPs.
Property management
Tenant requests, work orders, property records, maintenance, and portfolio administration.
Insurance
Document intake, information retrieval, administrative workflows, and policy-controlled assistance.
Illustrative use cases. The scope and capabilities are defined for each engagement.
Centralized & delegated AI
One main brain.
Purpose-built subsystems.
A central AI layer coordinates the work. Specialist agents handle defined tasks, drawing on company information and following the organization’s policies.
THE OPERATING MODEL
Connected intelligence.
Defined responsibility.
Give each part of the system a clear role: what it can see, what it can do, and when a person needs to make the decision.
The architecture is designed around the agreed scope, rather than giving every agent unrestricted access to the organization.
Main brain
Coordinates requests and delegates work to the right subsystem.
Company database
Provides structured business knowledge and records, with access boundaries.
Specialist subsystems
Handle department-specific tasks and integrate with business tools.
Policies, SOPs & ERP
Define operating rules, approval points, and the workflows people use.
From discovery to daily operation
Understand first.
Build with purpose.
A complete delivery process: learn how the business works, establish what AI is allowed to do, build the system, and prepare the team to run it.
01
Learn the business
Understand operations, people, existing systems, and where work gets slowed down.
02
Define scope & AI capability
Set the objectives, permitted reach, access boundaries, and capabilities of AI within the organization.
03
Build hardware or use cloud
Select and prepare on-site hardware, IT infrastructure, cloud services, or a combination.
04
Build the main brain
Establish the central AI layer that coordinates the system and delegates defined tasks.
05
Build the company database
Structure the information the system needs, with access appropriate to each role.
06
Build the subsystems
Create specialist agents and operational subsystems for the agreed departments and workflows.
07
Implement policies & SOPs
Translate company policies and standard operating procedures into rules, approvals, and workflows.
08
Build the ERP
Develop the ERP around agreed business processes and connect it to the AI system and company data.
09
Test the system
Verify workflows, permissions, outputs, integration behavior, and recovery before rollout.
10
Handover
Deliver the system, documentation, access, and ownership information to the business.
11
Train the team
Help staff and administrators use, supervise, and manage the system in their daily work.
12
Maintain & improve
Support the deployment, keep systems current, and adapt capabilities as operations change.
Before we build
A few practical questions.
Can the system run on our own hardware?
Yes. We can build around on-site hardware or cloud services. The choice depends on the workload, data requirements, infrastructure, budget, and agreed scope.
Do we need to replace our existing software?
That is determined during discovery. The scope can include connecting existing tools, building subsystems, or developing a custom ERP where the business needs one.
How much control does the AI have?
Its reach and capabilities are defined before implementation. Company policies and SOPs establish permissions, responsibilities, and the points where human approval is required.
What happens after implementation?
The delivery process includes testing, handover, team training, and maintenance. The specific support arrangements and ongoing improvements are agreed for the engagement.
Start with your business
Tell us how you operate.
Share your industry, existing systems, and the work you want to improve.