Everything a buying team needs in one place: who this platform is for — and who it isn't — what to require from any vendor, how to evaluate without taking anything on faith, and what the decision means for every seat at the table.
Most AI products assume it can. For a great many serious organizations — wherever the material is privileged, regulated, or simply must not leave the building — it cannot. That single fact reframes the whole conversation, and the tree below sorts it in under a minute.
Run each important workflow through the tree. Most organizations land on two or three branches at once — that's normal, and the platform serves all of them.
Wherever you land, you also choose where LamFia runs — and the options share the same restraint as everything else: the simple, signed desktop install stays the default, and each step onto your own infrastructure is available, optional, and on your terms.
Run the AI engine as one sealed, signed, self-contained package on hardware you own — quick to stand up, identical on every machine, and able to be sealed shut from the internet entirely: the strongest form of the AirTight promise. Built on open, vendor-neutral building blocks, so adopting it ties you to no single container vendor. Available and optional; it packages the engine, not the desktop; large-scale cloud hosting, managed databases, and high availability are a deliberate later release.
For a platform team, run the Mission Control backend as a connected service inside your own cluster — on your identity provider, your database, and your monitoring — so no customer data goes to a vendor cloud, and a self-managed setup carries no copyleft obligation. Off by default; it requires enterprise configuration; this is the connected story, not the air-gapped one (that's the desktop and the sealed package).
Chat, writing, documents, automation — the familiar experiences everyone already reaches for, made dependable for company work. Useful on day one, no training course.
Every tool reads the same approved documents and writes to the same record — the answer in chat matches the draft in the writer.
Instructions, helpers, and document templates are built from plain words — by the people who know the work, not engineers.
The AI works on your own computers by default. In the AirTight setup, the software itself blocks every outbound call — enforced, not promised.
Every action recorded with its sources and linked so any change is noticed — “we can show what the AI did.”
Per-engine cost tracking, shared capacity, one licence that never bricks — and your work stays in plain, portable files on an open standard (LGMD).
| Tool | What it does | The AI concept (plain English) |
|---|---|---|
| AC AI Chat | Answers your questions from your own documents, with sources shown. | Answers from your documents (RAG) |
| SW SmartWriter | Drafts content and keeps it safe in one place. | Intent + strip personal details |
| PS PromptStudio | Builds, scores, and approves AI instructions. | AI instructions, scored |
| SX Strataryx | Writes long documents, section by section. | A coordinated team of AI agents |
| AA AI Agents | Reusable, governed helpers your teams can trust. | Specialised agents, scoped |
| AS AI Powered Search | Finds anything across your whole workspace, then opens it where it lives. | Words and meaning, merged (top-tier extras off by default) |
| DG DrawGenie | Describe a diagram in plain words and it's drawn — on your own machine, yours to keep. | Generation from a plain-words description |
| MC Mission Control | Runs it all like a managed service. | Engines, the record, sharing |
Each chip opens that tool’s full page — or start at the eight tools and drill in.
LamFia isn't competing to be the best cloud AI. It's the platform for the work that can't go to a cloud at all — and for proving what the AI did afterwards. Often the honest answer is "use both."
| The alternative | Where it's genuinely good | Where LamFia wins |
|---|---|---|
| A cloud office AI assistant | Deep integration with everyday apps, huge reach. | Runs with nothing leaving the building, draws only on your approved documents, keeps the record on your own disk. |
| A frontier-model provider | The most capable cloud engines available. | The governed workbench around the engine — you can even point LamFia at one while your documents stay home. |
| Build it yourself | Full control; capable open building blocks exist. | The record, sharing, governance, migrations and tooling are already shipped and maintained. Buy the plumbing; build your differentiator. |
| Doing nothing | No project, no cost — for now. | A sanctioned, recorded way to use AI is safer than a ban no one follows — and it's available now, on hardware you own. |
| If your reality is… | The honest position |
|---|---|
| "We want the best cloud model, and our data can live there." | A cloud AI may suit you; use LamFia for the work that can't go there. |
| "Some of our data can't leave our walls." | This is exactly LamFia's world — and you can still point it at a cloud engine for the rest. |
| "We're thinking of building it ourselves." | Buy the plumbing, build your differentiator — LamFia already ships the hard parts. |
| "We're not doing AI yet." | A governed platform beats an unenforceable ban; start with a low-risk pilot. |
Take this list into every vendor conversation. Each row is a requirement worth insisting on, why it matters, and the question that separates a real answer from a brochure. LamFia is built to pass all twelve — in a demo, on your own hardware.
| Require | Why it matters | Ask the vendor |
|---|---|---|
| Runs on hardware you own | If the AI only works in their cloud, your data's location is their decision, not yours. | "Show it running with the network cable unplugged." |
| Provable zero egress, when needed | A policy promise is not a control. The product itself should enforce the boundary. | "What happens if the offline guarantee fails — does the software refuse to start?" |
| Answers grounded in approved documents | Ungrounded bots answer confidently and wrongly — with no source anyone can check. | "Show me the exact paragraph this answer came from." |
| A tamper-evident record of every action | "We used AI" is not an audit position. "We can show what the AI did" is. | "Export the record of this session and show me how a change would be noticed." |
| Human-approved handling of personal details | Silent redaction is a risk of its own; nothing should be removed without sign-off. | "Who approves each removal — the software or a person?" |
| Governed instructions & helpers, with lifecycle | A sensitive automation must not quietly change. Versioning and approvals are the control. | "Walk me through draft → approved → retired for one helper." |
| Built by domain experts, not just engineers | If automation requires code, the people who know the work can't build it — and won't use it. | "Have a non-technical person build a working helper in front of us." |
| Open, portable formats — no lock-in | Walking away should cost you the tooling, never the work. | "Open one of our files in an ordinary editor, right now." |
| Cost visibility per engine and job | AI spend without a dashboard becomes a surprise at quarter end. | "Show me what this morning's work cost, engine by engine." |
| Degrades gracefully — never bricks | A licence lapse must not take your tools or your work hostage. | "What exactly stops working when the licence lapses?" |
| Finds across everything you have — by word and by meaning | Knowledge scattered across tools is knowledge you can't reuse; one search by meaning and by tag turns it back into an asset. | "Search our whole workspace from one box — and show that the default search runs locally." |
| Runs on your own identity, data, and cluster when you need it | An enterprise platform team needs to run AI the way it runs everything else — its own sign-in, its own database, no vendor cloud holding the data. | "Can the backend run in our cluster, on our identity provider and database, with nothing going to your cloud?" |
Print this page and bring it to every demo — ours included. A vendor who hesitates on any row is telling you something.
The fully offline setup blocks every outbound call and refuses to start if the block isn't working — privacy as a property of the product, not a line in a policy.
A question, a draft, a helper run — recorded with sources, linked so any change is noticed, ready to hand an auditor.
Plain, portable files on a published, vendor-neutral standard. If a licence lapses, the software keeps working with basic features. It never bricks.
The AI runs on your hardware by default. Reach for a cloud engine only where your policy allows — and in AirTight, never.
People want modern AI, the data can't leave the building, and a grounded, on-machine, recorded tool is what finally makes it possible. Three anonymised cases — no invented numbers.
Bars are qualitative, drawn from the cases above — the point is the order of magnitude, not a benchmark.
This isn't a price list — pricing depends on your estate, and that conversation belongs in the pilot. What a buying team can establish now is the shape of the cost: what the platform consolidates, and what becomes visible that today is guesswork.
One regional bank's instruction-review case above replaced several subscriptions outright — your mix will differ; the pilot makes it concrete.
Enterprise decisions are made by a committee, not a person. Forward each card to its owner; each links to the section with the full argument.
Every AI pitch leans on these. Here is what each means for your work — with the industry term, so you'll recognize it in other vendors' materials.
You don't take any of this on faith. The decision becomes "did this workflow get better on our own kit?" — not "do we trust the pitch?"
Set it up and bring your own documents in.
The test that actually matters to you.
Look at the outcome side by side.
If it doesn't help, keep all your data and walk away.