For teams of 10–200 that won’t put company data in someone else’s cloud
No blind trust: a pilot on your real documents, at a fixed price. Sensitive data never leaves your machines, and everything we build — automations, plan and data — stays yours even if we stop after the pilot.
Only 1 in 4 AI pilots reach production (Deloitte) — our program is designed around that statistic
What is really costing you
Your best people spend hours stitching together information a system should give them in seconds. Four brakes, in the order a director feels them — and what we do about each.
Manual work
A report is assembled from five tools. Meeting prep eats an hour of research. The same client questions get the same answer, again and again. You pay for specialists, and you buy administration.
Our answer
Tasks that used to take hours finish overnight. In the morning you review a draft — not a job from scratch.
Scattered knowledge
Knowledge lives in inboxes, folders and three people’s heads. The same problem gets solved a third time because nobody knows it was solved already. When someone leaves, what they knew leaves too.
Our answer
Everything the company knows becomes connected and searchable. An answer arrives in seconds, and knowledge stays in the company when people move on.
Blocker
The biggest gain is where contracts, finances and client data live — and that is exactly what you cannot send to someone else’s cloud. So AI gets banned or reduced to harmless trivia, and savings stay on paper.
Our answer
Processing runs on your machines, so that blocker falls away. The team speeds up where it matters — on real, confidential documents.
Subscriptions
One subscription per problem, billed per user. Data piles up in other people’s formats, so even leaving costs you. Spend grows, and work still travels by hand from tool to tool.
Our answer
One system instead of five subscriptions, everything in ordinary files, models swappable when something better or cheaper appears. Cost falls, and everything stays yours.
1 in 4AI pilots reach production. The gap is not in the models — it is in the architecture beneath them. (Deloitte, 2026)
5 hours/week × $150/h$39,000per year per colleague who loses hours searching for information
How it works
Your documents, emails and decisions stop being an archive and become a system that works for you. Under the hood: a system with skills written for your exact processes — on your machines, under your control.
Everything the company knows becomes connected and searchable from one question. Search that ate hours shrinks to seconds — and the answer comes with a source, not from memory.
Reports, meeting prep, inbox triage, draft replies: agents work while the office is empty. In the morning you review and approve instead of starting from zero.
When your best person solves a problem once, we record that procedure as a lasting system skill. It repeats without error, does not resign and does not go on sick leave.
The system checks its own work and asks for approval before every change. Your team is not babysitting artificial intelligence — they only approve finished results.
By day
By night
And the data?
The biggest gain is where contracts, finances and client data live. Privacy is not an add-on but the foundation — without it the system would only be allowed on harmless trivia. We document every control against ISO 27001 — working 100% aligned with the standard.
Confidential data never leaves your machines. Processing stays local, and no external system learns from your data.
AI writes only to quarantine. Every write goes through approval, every action is logged — you do not have to trust words, you can verify.
More than a third of publicly available AI automations have security gaps. Everything your agents can do we write and verify ourselves — nothing installs unseen.
Deletion and access are file-level operations, not vendor tickets. Data stays on your machines — under your control, not someone else’s cloud.
We are tied to no AI model vendor. When something better or cheaper appears, we swap it — and your system does not notice. For the strictest cases the model runs on your hardware, so cost per task falls too.
What changes
Same foundation, six different jobs. Choose yours.
I am…
A cost report your team manually assembles from five tools the agent prepares overnight. A consistent number lands on the desk, not a guess.
Procedures that lived in three people’s heads become written and connected. A new team member does not wait for someone to explain how it works — they read and start.
Every agent write goes through approval, every action leaves a trail. You do not have to trust words — you can verify.
Documentation updates as soon as a procedure changes. New people stop learning from outdated instructions.
Meeting prep that took an hour of research becomes a finished brief waiting in the inbox.
When someone leaves, their knowledge stays in the company — written and connected, not in someone else’s head or inbox.
In your industry
Pain is not the same in a law firm and on a factory floor — the mechanism is. Here is what one concrete day looks like, before and after, in six industries.
LawBeforeA colleague spends half a day gathering correspondence, filings and threads scattered across emails and folders. Case chronology is assembled by hand — from scratch every time.
AfterA night agent assembles the matter and prepares a review by morning — locally, nothing leaves the office. The colleague checks and adds in the morning instead of gathering.
Prep that took half a day shrinks to a few minutes of review.
AccountingBeforeIn season a flood of emails arrives with the same client questions, and answers are hunted in old messages. Filing deadlines are tracked manually, so the fear of a missed one never leaves.
AfterThe agent triages inbound mail, builds a base of verified answers to recurring questions and sets a reminder for every statutory deadline.
No deadline missed, and typical questions get answers without digging through archives.
ManufacturingBeforeProcess knowledge lives in shift supervisors’ heads and disappears when someone leaves or falls ill. A new worker learns by looking over a shoulder, not from documentation.
AfterMeeting transcripts are archived and linked, procedures update from real practice, and the daily plant report writes itself.
Onboarding a new worker takes days instead of months, because knowledge is written, not spoken.
MarketingBeforeFiles vanish in shared folders, and the brief lives in five versions with no single source of truth. Nobody is sure which version was approved.
AfterThe agent runs brief → draft → approval, keeps one version of every document and sends a weekly status review for all clients.
One version of truth per project — no more “which file is this?” on delivery day.
ITBeforeKey technical decisions are buried in chat threads and vanish when the channel moves. A new developer asks for weeks “why did we do it this way”.
AfterA night agent pulls decisions from communication into a tidy review and keeps a decision log linked to code and projects.
A new developer is productive in the first week, because context is written, not in someone else’s head.
ConstructionBeforeQuotes, variations and agreements are scattered across emails and messages, so expensive disagreements surface only on site. Who promised what — a question with no quick answer.
AfterThe agent keeps a register of quotes and variations and assembles a weekly review of every site from correspondence and field reports.
Fewer costly misunderstandings, because every agreement is recorded in one place.
Program
We do not ask for a leap of faith. The pilot is fixed — scope, deadline and price — and wider rollout builds only what the pilot proved.
A measurable check on one team’s real documents. Goal: see value before any bigger commitment.
Knowledge migration, two-layer architecture setup and training 1–2 internal champions who keep the system alive after us.
Monitoring, new automations as needs grow and quarterly cleanup so the system stays sharp.
Guarantee: if the pilot does not show measurable value on your documents, we do not charge for it. The pilot has a fixed price and fixed deadline — no open items. Your data are ordinary files: leaving is always possible.
Decision
Option A
Knowledge in inboxes, answers take an hour to find, AI is tried in tools nobody trusts — and when someone leaves the company, what they knew leaves too.
Option B
For two weeks you watch AI work on your real documents — locally, with your approval for every step. If you do not see value, you do not pay.
Questions everyone asks
Sensitive data do not. Confidential data are processed locally, on your machines, and do not leave the company. Only what you mark as shareable goes into the shared layer. No external system learns from your data.
You are not locked in. Everything we build is ordinary files in an open format, on your machines. If we stop working together tomorrow, everything stays readable and usable without us.
The pilot engages one team, and only in a limited way — you do your job, we work around you. For long-term maintenance we train 1–2 internal champions who spend hours, not days, per week.
Then we do not charge for it — that is the guarantee. The pilot is a small, measurable check before a bigger commitment: better to learn that in two weeks than in six months.
No. We do setup and integrations. For day-to-day work it is enough that 1–2 people on the team know the basics, and we teach them during the build. The system is deliberately simple so it survives without us.
That is why we do not introduce a new platform, but habits around tools that look like what the team already uses — documents and notes, not another system to log into. The pilot starts with a team that sees the benefit themselves, and internal champions spread the system from inside. Nobody gets software dropped from above.
30 minutes of conversation, no sales pressure. Concrete: what a pilot would cover for you and what you would get in 14 days.
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