Review
We look at the current process, the people using it, the tools involved, and where time or revenue is being lost.
AI SYSTEMS FOR BUSINESS OPERATIONS
We build the AI layerbehind modernbusiness operations.
From AI agents and workflow automation to Document AI, RAG knowledge systems, MCP integrations, CRM, and ERP platforms, we build the systems that connect intelligence to the work.
30+products shipped
12+countries reached
90%manual work reduced
Selected work
Explore the work →AI systems connected to work that cannot afford to get lost.
Admissions intake24/7
Every enquiry reaches the right next step.
Intake, calls, qualification, appointments, CRM records, transcripts, and staff handoff in one flow.
See Connexions →Sales operations32A sales pipeline the team can act on.
$99.5K+ in revenue tracked across calls, follow-up, lead stages, payment links, and reporting in one CRM.
See Closeum →Guided client workflow12,000+A document product customers can use without help.
Acquisition, account creation, AI generation, history, billing, support, and administration in one product.
See Lettermate →Operational AI product14,200+A repeatable path from data to decisions.
Data ingestion, AI analysis, weekly planning, subscriptions, limits, and support in one product.
See Social Playbook →Services
The systems we build around your business.
Selected work
See the systems behind the results.
Each project connects the right data, software, and workflow to a clear business result. See what we built and how people use it after launch.
View all work →Process
Start with one process. Leave with something useful.
We connect the data, tools, and decisions behind one important process, then expand after the system proves itself in daily use.
Scope
We define one useful release, the required integrations, the review points, and how both sides will know it works.
Build
We build around the software and data you already use wherever that is the sensible option.
Test
We test normal cases, bad inputs, failed integrations, permissions, and the situations that need human review.
Launch
The system goes live with clear ownership, logs, documentation, and the measures needed to judge the result.
Start without overbuilding
Put the right work on the system first.
Start with one important workflow, a defined result, and a clear scope. Expand the AI layer only when the first system proves its value.
See pricing guidance →Free Audit
No charge
We review your current process, find the main bottleneck, and recommend the first useful system to build.
Workflow Pilot
From $3,000
One real workflow with the integrations, AI or automation, testing, launch, and handoff needed to prove the value.
Complete AI System
$10,000-$75,000+
A connected system with multiple workflows, custom software, AI agents, RAG, CRM or ERP integrations, dashboards, and support.
Client feedback
What clients say after launch.
Each comment is connected to the project behind it, so you can see both the work and the working relationship.
Why AIOVIX
AI is useful when it reaches the work.
We connect AI to the data, tools, and decisions your team already depends on, with the controls needed to use it confidently.
We solve the problem, not sell the tool
We start with what is costing time, delaying a launch, confusing customers, or losing leads. Then we choose the simplest useful fix.
You speak to the people doing the work
The same senior team helps shape the plan, makes the key technical decisions, and stays involved through launch.
Clear scope and a proper finish
We agree what is included before we start, test it properly, document it, and make sure your team knows what happens after launch.
Common questions
Questions worth answering before a build.
Q01
What business process should we automate first?
Start with one process that is losing revenue, consuming staff time, or slowing delivery. We will tell you whether it needs AI, normal automation, custom software, or a smaller process change.
Q02
Can you add AI to our existing CRM or software?
Usually not. We first check whether the current CRM, database, documents, communication tools, and APIs can support the new workflow.
Q03
How do you make AI systems reliable enough for real work?
Important rules stay deterministic. AI handles variable information, while validation, permissions, source evidence, review queues, and audit logs keep the result inspectable.
Q04
What is included in an AI automation project?
A defined production result, the required integrations and interface, testing, deployment, documentation, and a clear acceptance process before launch.
Q05
Can you improve an existing AI product or internal platform?
Yes. We can audit, stabilize, extend, or add AI to an existing codebase when rebuilding from scratch would waste working software and customer knowledge.
Free audit
Discuss an AI system Connect AI to the work that matters.
Show us the current process. We will identify the data, tools, and decisions an AI system should connect first.