AI-powered executive dashboards that sit on top of the ERP you already run — no migration, no new workflow — and turn live data into graded priorities, in plain English, every day.
When you're ready to go further, our AI consulting team helps you find the next place AI can safely take work off your plate — and builds it.
Where most clients start.
Most come to us for the dashboard — one business function, read by something that actually understands it. Some come earlier, before they know where AI even pays off. We do both. Most engagements start with one and grow into the other.
We assess your operations, data readiness, and workflows to identify where AI creates real, measurable value — not hype. You leave with a scoped roadmap, not a slide deck that sits in a drawer.
From automation of manual workflows to bespoke models integrated into your existing systems — we design and ship production AI, not a demo that breaks the first week.
Our flagship product. A family of dashboards — one per business function — that don't just show your operational data, they read it the way a seasoned analyst in that field would, name what's actually wrong, and rank what to do about it first. Each one shaped around its own function's metrics and your own standards.
Reads live data from your ERP. Understands what it means. Tells you what to do about it.
Point it at your data and it works like a specialist who's spent a career in that department — surfacing the risks worth escalating, ranking them by what they'll cost, and telling you where to start. See three of them running live below, on demo data. It's the same specialist, retrained for maintenance, production, finance, and HR.
Screenshot from a live Lucidian dashboard (demo data). Click to load the fully interactive version in-page.
It doesn't just read your data. It understands your business — like it works there.
Generic AI will summarize a spreadsheet. Ours knows that a 50-day DSO isn't just a number — when your terms are Net 30, that's 20 days of working capital sitting in someone else's bank account longer than it should.
It knows which numbers matter in receivables, in procurement, on the floor, in the plant — and which ones are noise.
"Good" isn't universal. Your team sets what good looks like for your business, and the analysis is measured against your bar — not an industry average that doesn't fit you.
You don't get a list of everything that's off. You get what's most expensive first, what to do about it, and by when — the way a good advisor would brief you.
It shows its work.
A good advisor doesn't just flag a missed discount — they can show you the invoices and the math behind it. Click any figure below.
Invoices are being paid on day 30 instead of day 10, even though the terms offer 2% off for early payment. That's a 36% annualized return left on the table — better than almost anything else that cash could be doing.
| Supplier | Invoice | Terms | Discount Missed |
|---|---|---|---|
| Coastal Freight & Logistics | INV-5521 | 2/10 Net 30 | $1,240 |
| Ironwood Steel & Metals | INV-5498 | 2/10 Net 30 | $2,860 |
| Granite Industrial Chemicals | INV-5477 | 2/10 Net 30 | $640 |
AI you can actually stand behind in the boardroom.
Lucidian means clarity. Anyone can generate an opinion from your data — the hard part is producing one confident enough to act on and solid enough to survive being challenged in the board room. That's what we build for.
Every claim it makes is anchored to a real figure from your own data. When something can't be measured, it says so instead of guessing.
It's built around your department, your metrics, and your definition of "good" — so the advice fits your business instead of generic best practice.
This isn't a first attempt. The same architecture already runs live across multiple business domains — faster delivery, fewer surprises, consistent quality on the next one.
Every number opens up to what's underneath it, and the standards it judges against are yours to set. Nothing is hidden behind a model you can't question.
The AR dashboard you just clicked through.
A self-built reference implementation on synthetic data — not a client case study. It's how we show the architecture, not just describe it.
Accounts receivable data typically exists, but nobody reads it until month-end close — by then, collections risk that could have been flagged weeks earlier is already overdue. Spreadsheet exports are stale the moment they're opened.
A dashboard that reads a company's receivables the way a seasoned credit manager would: every metric that governs collections under continuous watch, months of history behind each one, and a written verdict naming the two things most likely to cost real money this quarter — with every figure openable down to the invoice behind it.
The metrics change completely from one function to the next; the discipline doesn't. The same architecture now runs a procurement dashboard and a warehouse operation, and it's how we build for maintenance, production, finance and HR. It isn't one clever demo — it's an approach that moves cleanly from one department to the next.
Questions we hear a lot.
Wherever you decide. We support fully on-premise deployments, where your data never leaves your own environment, as well as cloud-hosted setups on infrastructure we agree on together. Either way, it stays in a database you control — we don't route it through a third-party warehouse or SaaS analytics layer.
Faster than from scratch, because we're not starting from scratch. Most of the work is learning your business: mapping your data, agreeing with your team on what "good" looks like, and calibrating the analysis to your domain. Timeline depends mostly on how clean your source data is.
We keep our pricing competitive, but every engagement is scoped to what you actually need, so we don't quote a number cold. A quote follows a short discussion and a demo of the dashboard.
Most data is. Bad rows get flagged and set aside rather than quietly poisoning the numbers around them, and we surface data-quality problems to you explicitly instead of hiding them behind a clean-looking chart.
Not necessarily — think of it as the layer above it. Your BI tool shows you the data; this tells you what a specialist would conclude from it, and what to do first.
Yes. Thresholds are editable from an in-app admin panel, not buried in code. We're happy to hand over full documentation and stay on for ongoing support, whichever your team prefers.
Lucidian AI brings the expertise. Each dashboard already knows the practices that govern the best-run companies in the industry — which metrics actually matter, what counts as good or dangerous, which problems are worth escalating first — then applies that lens to your business. Specialist by construction, not a general-purpose chatbot pointed at a spreadsheet.
Let's talk about your data.
Tell us a bit about what you're working with — we'll follow up to schedule a call.
We typically respond within one business day, or email us directly at [email protected].