You already know your company needs to adopt AI. The hard part is knowing where to start.
We find where AI moves your P&L and put to work the AI agents that make it happen.
- 2 weeksof diagnostic work, with your data
- 100%of the figures come from your operation
- AI agentsdesigned for your process and your systems
- 4 sectorswe know from the inside
Plenty of AI. Little impact on the P&L.
You bought licenses. Someone built a chatbot. A pilot went well in the demo. And your P&L? Unchanged.
“My engineers spend more time requesting quotes than estimating.”
“I bid on fewer tenders than I could. My team cannot keep up.”
“Weeks go by between the progress measurement and the invoice.”
“I know I am losing margin. I do not know exactly where.”
“Is this not something I can do myself with ChatGPT or Claude?”
Part of it, yes. And it is good that you do. Today anyone on your team can use AI for their own work. Putting AI agents to work inside your operation, every day, with your systems and your data, is a different matter. That takes more than a good prompt or a personal subscription, which comes with usage limits.
What your team can do on its own
- Automate their own day-to-day tasks.
- Connect the tools they already use.
- Draft, summarize, and put together reports.
- Test an idea with a prototype.
What takes engineering
- Integration with your ERP and your systems.
- A secure backend that stores and protects your data.
- Permissions and limits on what the agent can do.
- Observability: knowing what each agent did, when, and why.
- Testing, maintenance, and updates when the models change.
- Capacity to work 24/7, without the limits of a personal account.
And before building anything, the question no tool can answer for you: where is the money? That is where we start.
Everyone having their own AI is not the same as a company with AI.
It will go the way spreadsheets went: everyone builds their own automations, nobody else understands them, and when that person leaves, they are orphaned. Where do they live? Who integrates them?
Disconnected automations and apps, with no shared memory or control. If someone leaves, they take them along.
- Security agent
- Operations agent
- Your agents
All your agents in one place, with a central memory that belongs to the company, not to one person.
Fully integrated
Each new agent joins the ones you already have, in a single interface and connected to your systems.
One central memory
Your data and what your operation learns stay with the company, not on someone’s computer.
Access control
Each person sees and uses only the agents for their process. Management sees everything.
Agents that look after your agents
A security agent and an operations agent monitor what we deliver: risks, failures, and unusual behavior that a user would not notice.
If someone leaves, your agents keep working. And your data, and everything your operation learns, always belong to you.
Four steps. We always start with your P&L.
Two weeks to find out where the money is.
We look at your whole company: your P&L at the center and, around it, everything that makes it possible —or impossible— to move that number.
- What each process costs you today, calculated with your payroll and your volumes.
- Where AI moves your P&L: more revenue, lower cost of sales, or lower expenses.
- The target each implementation must meet, whoever builds it.
- Your roadmap, ranked by impact.
- Your measured baseline, with an owner for every number.
What we need from you: financial statements, payroll by position, a few exports from your system, and sample documents. Your accountant can gather it in one or two days.
We know where money leaks in your sector.
Tenders, progress certificates, change orders, field reports. We speak your language.
More revenue
More qualifying bids with the same team.
Better margin
A project margin that resembles the budgeted one.
More cash
Fewer days between the progress measurement and the invoice.
Is your company in another industrial sector? Talk to us: the method is the same.
We are not your AI vendor. We are your partner.
A good vendor builds what you ask for, and builds it well. A partner understands your business and tells you what to build so that it shows up on your P&L.
Where it starts
A good AI vendor: With the requirement you bring: an automation, a chatbot, an agent.
Your partner: With your P&L: which number to move and where the money is.
How it decides what to build
A good AI vendor: Based on what you ask for.
Your partner: Based on where the economic impact is. Sometimes it tells you not to build anything.
The technical side
A good AI vendor: Solid automation and AI agent development.
Your partner: Robust AI agents, plus knowledge of your sector: job sites, tenders, plant, field.
Where what it builds lives
A good AI vendor: Each development in its own place.
Your partner: In NOVA, alongside your other agents, with a central memory and access control.
If someone on your team leaves
A good AI vendor: What that person handled may be left half-finished.
Your partner: Your agents keep working. Your data and what your operation learns stay with the company, not with one person.
After delivery
A good AI vendor: Support when you need it.
Your partner: Support, maintenance, and agents that monitor security and operations.
When the work is considered done
A good AI vendor: When the system goes into production.
Your partner: When your P&L shows the change against the baseline.
Which number on your P&L worries you this year?
Tell Tana
Five questions, one minute. She tells you whether the 360 Diagnostic is right for your company and, if it is, schedules a time with you.
StartWould you rather write to us?
Write to us and we will reply the same business day with the same five questions, so you do not lose any time.
sales@nivanta.ai