We read systems for a living
We find the AI worth building, then we build it.
Book a call and our engineers go inside your website, your systems and your floor. You get a written report on every place AI can be deployed, what each one saves, and what it costs to build. No fee. No obligation.
$214K
Recoverable annually, in the sample report
11
Opportunities found in the scan
Delivered as a written report. Illustrative figures, yours are measured in your own systems.
What we build with
Eight capabilities. Assembled to fit.
We don't lead with a technology and hunt for a problem. The audit decides which of these gets used, and how much of it you actually need.
Already deployed: stitch defect detection · Bangla support agents · predictive maintenance · ANPR gate control · demand forecasting · clinical note drafting · route optimisation · PPE compliance · KYC document AI · crowd anomaly alerts · markdown optimisation · OEE bottleneck analysis · face-recognition attendance · claims coding assistance.
The last mile is where AI dies. We live there.
Models are the easy part. Projects fail where a model meets how your business actually runs: the exceptions, the workarounds, the spreadsheet someone maintains by hand. So we put our engineers on that mile, inside your operation, until the thing works.
How AI usually gets sold
- A strategy deck and a discovery invoice before anything runs
- Consultants who interview your team, then leave with the knowledge
- A twelve-month roadmap priced before anyone opened your database
- A pilot that demos beautifully and never reaches production
How NXTVIS works
- Engineers inside your systems in week one, at no cost
- We learn your operation by working in it, not by interviewing it
- A costed roadmap written after we've seen the real data
- The first deployment live in weeks, measured against your P&L
How it works
Four steps. The first three cost you nothing.
This is the whole engagement. No discovery fee, no paid workshop, no retainer before you have seen the numbers. If the report says AI is not worth deploying in your operation right now, we will say that, and you will still have the analysis.
Book a call
A working call, not a sales pitch. We map how your operation actually runs, what systems hold the data, and where the cost and the frustration sit today. Outcome: shared understanding of your operation.
We explore your systems
Our engineers go into the detail: your website, your ERP, the floor, the ticket queue, the spreadsheets people actually use. We look at real workflows, not an org chart. Outcome: every automatable workflow catalogued.
You get the AI Opportunity Report
A written report: every place AI can be deployed, what each one costs to build, what it saves per year, how long it takes, and which ones we would not recommend. Yours to keep either way. Outcome: a ranked, costed deployment roadmap.
You decide what ships
If the numbers work, we forward-deploy engineers into your team and ship the highest-value item first. If they do not, you have still lost nothing. Outcome: production AI, or a clear no.
The deliverable
You leave the audit with a document, not a pitch.
This is what lands in your inbox after we've been through your systems. Written for the person who has to sign off the budget.
Opportunity register
Every workflow where AI can be deployed, with the approach, the annual saving, the build cost and the payback period for each.
What we'd leave alone
The workflows where automation costs more than it returns, named explicitly, with the reasoning.
Sequenced roadmap
What to build first, second and third, ordered by payback rather than by what is technically interesting.
Integration & risk notes
Which systems we'd touch, where your data would live, what could go wrong, and how each deployment gets monitored.
| Opportunity | Saving / yr | Build cost | Payback | Verdict |
|---|---|---|---|---|
| Final QC rework loop · in-line vision defect detection | $68K | 4 mo | Build | |
| Order-status tickets · grounded support agent | $46K | 3 mo | Build | |
| Marker & cut planning · layout optimisation | $52K | 5 mo | Build | |
| Gate attendance reconciliation · face-recognition attendance | $27K | 7 mo | Build | |
| Buyer document entry · Document AI extraction | $21K | 6 mo | Build | |
| Chatbot on the public site | Not recommended: traffic too low to repay the build | |||
| Fully autonomous purchase approvals | Not recommended: risk outweighs the saved hours |
Figures shown are an illustrative sample. Your report carries numbers measured in your own systems during the audit. Yours to keep, either way.
2 weeks
To a working proof of concept
2 months
To something running in production
5 days
To receive your audit report
7
Sectors with deep playbooks
0
Cost for the audit, always
Timelines are what we commit to and scope against, not averages of past projects. Your audit gives you dates specific to your systems.
Where we deploy
Different floors. Same physics.
A garment line and a hospital ward look nothing alike, but the leak is always the same shape: a decision made from data nobody has time to read. These are the seven sectors we know deeply enough to ship in.
Operating in another sector? The audit works the same way. The first call tells us whether we can help.
Shipped
What this looks like when it is running.
Three deployments doing what this page describes: recognition at a factory gate, anomaly detection on live camera feeds, and support answered natively in Bangla.
Straight answers
The questions you're actually asking.
Including the sceptical ones. Especially those.
Because it is the fastest way to prove we understand your operation better than a competitor with a deck. Most AI vendors charge for discovery and deliver a roadmap written before they saw your data. We would rather spend a week in your systems and let the analysis win the work. If the numbers do not justify a build, you have cost us a week and saved yourself a bad project.
A consultancy sells you the analysis and stops there. We give the analysis away and are only paid if you decide to build. That inverts the incentive: a consultancy is rewarded for a long discovery phase, whereas we are rewarded for finding something worth deploying quickly. It also means our engineers write the report, not a strategy team who will never have to implement it.
As much or as little as you are comfortable with. A useful audit usually means read-only access to the systems that hold your operational data and screen-shared walkthroughs of the workflows with the people who run them: all of it remote, under NDA, and where personal data is involved under a data processing agreement too. A site visit is only arranged when a floor or camera deployment needs physical measurement, and that happens during the build, not the audit. Read-only is genuinely read-only.
You keep it. There is no clause that makes it ours, no expiry, and nothing stopping you from handing it to another vendor or building it in-house. We would obviously prefer to build it with you, but a report you cannot use is not a real deliverable.
Taking audit bookings now
Find out what your operation is leaving on the table.
One thirty-minute call. A few days of our engineers inside your systems. A written report with numbers you can take to your board. You pay for none of it.
Proof of concept in two weeks. Production in two months.