Your AI Operating System
Most AI knows everything about the world and nothing about your company. An AI Operating System knows both, and it gets smarter every week.
What already happens
What it does for you
Remembers everything“What did we promise this customer?” Keeps track of everything3 offers await follow-up, 2 overdue Thinks with you“What if steel prices rise 8%?” Does the workBoard deck drafted, Q3 numbers in Acts on its ownWithin the rules you setBuilt around your business, so this list keeps growing.
The three levels of AI
Companies use AI at three levels. With each level, the AI gets more access to the company’s data and systems, its impact grows from one person to the whole company, and the bar for security rises with it.
Employees ask, the AI answers.
It answers, writes and summarizes. It helps individuals, but the gains stay personal: the AI knows nothing about the business, has no memory, and every employee starts from scratch.
AI completes whole tasks.
Workflows and AI agents prepare quotations, answer customer inquiries and produce reports on their own. The time savings become measurable across a team.
The company runs on an AI OS.
Knowledge, data, processes and agents come together in one system. Agents handle routine work in the background, and leadership steers through live dashboards. AI stops being a set of experiments and becomes the way the company operates.
We take businesses from Level 1 to Level 3, step by step.
What the AI OS does
It remembers, keeps track, thinks with you, does the work, and acts on its own, within your rules.
Every email, meeting and decision, searchable in seconds, and always with the source.
It reads along in emails and meetings, so it knows what’s open, who owes what, and what’s slipping. Nobody types anything in.
A sparring partner that knows your numbers, your customers and your history.
It writes and sends emails, builds decks and analyses, and keeps the inbox in order.
It runs entire workflows within the rules you set. Every step is logged.
Answer
Delivery within 21 days of order confirmation, partial shipments allowed. Penalties apply only after 10 working days of delay, capped at 5% of the order value.
Updated 2 minutes ago from 38 emails and 2 meetings. Nothing typed in.
What happens to our margin if steel prices rise 8%?
Gross margin falls from 31.4% to 28.9% if your prices stay unchanged.
Three levers: pass on 4% through the price clause in your framework contracts, shift 20% of volume to the second supplier quoted in May, and cut safety stock from five to three weeks.
Sources: Q3 cost model · supplier quotes, May · framework contracts
ToPurchasing, customer account
SubjectRe: delivery delay, plant 2
Hello Anna,
thank you for your patience. The shipment from plant 2 leaves on Thursday and reaches you on Monday. We have moved your next order to the front of the line, so it ships on schedule.
Every step is logged and can be reviewed.
Illustrative example
Built around your business, so this list keeps growing.
What the five abilities mean for a normal working week.
Today: Know-how lives in a few heads, and senior people answer the same questions again and again.
With an AI OS: Their know-how is captured in a knowledge base anyone can ask, and every answer comes with its source.
Today: New hires take months to get up to speed, and pull experienced people away from their work.
With an AI OS: Onboarding is built from your own know-how, with a documented quiz where training must be on record.
Today: You learn an order is slipping in next week’s meeting.
With an AI OS: It’s flagged the morning it slips, with the emails behind it.
Today: Decisions wait until someone has pulled the numbers together.
With an AI OS: The numbers and the background are ready when you need them.
Today: Reports, follow-ups and status updates eat the week.
With an AI OS: They’re drafted for you. Your team reviews and sends.
Today: Quality depends on who does the work that day.
With an AI OS: Workflows run the same way every time, within your rules, every step logged.
More output from the same team.
57%
of today’s work hours could in theory be automated with technology that already exists.
McKinsey Global Institute, “Agents, robots, and us,” November 2025
70%
of the effort AI leaders invest goes into people and processes, not algorithms or technology.
BCG, “Where’s the Value in AI?,” October 2024
The potential is real. But the value only shows up when the way work flows is redesigned, not when single tasks get automated.
How we work
AI applied to broken processes only scales the chaos. So we fix how the business runs first, and then build your AI OS on solid ground.
01 · Diagnose
We map how work actually gets done and find the bottlenecks, delays and waste across your core processes. No assumptions, only what’s real.
A clear view of what limits performance
02 · Define the roadmap
We prioritize by impact and effort, quantify the return for each initiative, and lay out a path you can execute.
A focused roadmap with measurable impact
03 · Implement
We redesign processes, remove waste, and put AI where it creates real leverage.
Measurable gains in efficiency, cost and profitability
04 · The next step
Built on the optimized processes, connected to your systems, introduced team by team, and kept up to date after launch.
A business that runs on its own knowledge
The next step is in our name.How to get started
An AI OS isn’t software you install with one click. It’s built around your processes, your systems and your people, and it keeps getting better after launch.
The first functions are in use while the system is being built. After about 8 weeks there is a solid foundation, which then grows step by step. The timing depends on company size, how deeply the AI OS is integrated, and how many functions it covers.
Stage 1
Observe and suggest
Stage 2
Draft for approval
Stage 3
Act autonomously, within your rules
Start with a conversation, or let us take a close look at your business.
Free · 30 minutes
A confidential call about how your business runs today and where an AI OS would make the biggest difference. Practical from the first minute, with no commitment.
Best if you want to explore what an AI OS could do for your business.
Arrange a ConversationPaid · 2–3 weeks
We come into your business: process mapping, interviews at every level, gap analysis, and a prioritized roadmap for where AI creates real returns.
Best if you’re ready to act and want a roadmap you can take to the board.
Explore the AuditNot ready to talk yet? Take the 3-minute AI OS Check
Who you’re building with
Frank Anisits brings more than 25 years in the automotive industry, including more than a decade as CEO and COO of global suppliers across Europe, the Americas and Asia, with full P&L responsibility for operations of up to $1.5 billion in revenue and 6,000 people.
His track record is in operational excellence: scaling businesses, turning them around, and making complex organizations run better. Today, as founder of NEXT STEP AI, with a certificate in AI and machine learning from MIT Professional Education, he applies the same operational rigor to building practical AI systems for growing companies. He is based in Dubai.
“I bring deep operational and AI expertise. You bring deep knowledge of your business. That is exactly why this is a partnership, and why every AI Operating System is built around your reality, not my assumptions.”
Frank Anisits, Founder
Whitepaper · 19 pages · free, no sign-up
From using AI to running your business on it: what an AI OS is, what it does for your team every day, and what it takes to build one that fits your business.
Read the whitepaperPodcast · 21 minutes
Most companies now use AI, yet their leaders feel just as buried in busywork as before. This episode explains why, and what changes when a business runs on an AI Operating System that knows its people, clients and processes.
In this episode
Something else on your mind? Ask us directly
They help one person with one question at a time. An AI OS keeps a company-wide picture of your clients, processes and commitments, runs workflows end to end, and builds tailored dashboards. It can use the tools you already have, such as Microsoft 365, as sources.
Existing permissions keep applying, only the systems you choose are connected, and the AI models and hosting are selected to fit your data protection requirements. Your IT or security team reviews and approves the setup before it goes live.
Your company stays in control of its data. We act as your data processor and sign a data processing agreement with you before anything is connected. We only use AI and hosting providers whose business terms rule out training on your data, and you get the full list of providers involved.
For clients in the EU, we work under the GDPR, including the EU Standard Contractual Clauses for any transfer outside the EU, and we can keep processing in EU data centers. For clients in the UAE, we work under the federal Personal Data Protection Law, or under the DIFC or ADGM rules where those apply. If your data has to stay in a specific country, we design the setup around that.
Autonomy is introduced in stages. At first the system only suggests, then it drafts for approval, and only then does it act on its own, within rules you set. Every action is logged, and anything new or sensitive goes to a person first.
It takes over the work people like least: searching, sorting, retyping and chasing. It is introduced team by team, with training, and people stay in control of every decision. In our experience, acceptance follows the first hours saved.
The first functions are in use while the system is being built. After about 8 weeks there is a solid foundation, which then grows step by step.
The technology isn’t the hard part. The hard part is knowing which processes to fix first, how work really flows, and what people will actually use. We bring that operational view and a proven setup, and we work closely with your IT team.
Because the technology is new. AI models that work reliably across email, documents and business systems only became ready for everyday business use in 2025. The companies that build one now are among the first, and that head start compounds.
It depends on the size of the business and the scope of the AI OS. The Operational & AI Audit (from $10,000) comes first. It shows where the AI OS creates the most value, and you then receive a clear proposal based on that roadmap.
A 30-minute conversation about how your business runs, and where an AI OS would make the biggest difference. Confidential, and practical from the first minute.
