The conversation your team asks in, the systems it is wired into, the ways it works together with your people, and the ways your own software can use it. Each part is useful alone; the point is that they all share one memory, one set of permissions and one record.
A shared workspace for your whole team, with history and context carried through every follow-up question. Every thread gets a short summary and topic tags written for it automatically, and one search reads all of it — titles, summaries and every message — so the conversation you need is never lost in the list.
Answers are pulled from your own documents and know-how — not a generic guess from the open internet.
You do not have to remember how something was written, or which part of a document holds the answer. InsideAI reads everything it knows about each file at once — its name, what it worked out about it, and the text itself — and matches on subject matter as well as wording, so asking what happens when a client leaves finds the offboarding checklist that never uses the word. The same goes for everything else it holds: past conversations, the tickets it keeps in step with, and the notes it makes for itself, so “where have we seen this before?” reaches all of them. Exact things carry weight — an invoice number, a serial or a surname that matches exactly counts for more than a near miss — and when you ask about one particular file, it opens that file and reads it rather than guessing from a summary.
Follow along as InsideAI works through a question — and read the answer as it is written — so you can judge whether it is worth acting on instead of taking it on faith. Long after it lands, click any answer to replay every step behind it: what it was thinking, and what it looked at along the way.
Get charts, tables, and formatted results right in the conversation — not just walls of text — so the insight is clear at a glance. Code arrives as its own block, highlighted and one click to copy. Every link opens in a new tab, so following a source never costs you the conversation — and anything that is not a real web, mail or phone address is not clickable at all.
Attach a screenshot or a photo to your question when the fastest way to explain a problem is to point at it.
Name a document or a spreadsheet — or ask about one you just uploaded — and InsideAI opens the whole thing before answering, every page and every row, instead of working from a search snippet. A very long file is read a part at a time, and if it answers before reaching the end it tells you which part it read. It can only ever open files you are allowed to see.
Ask for a total, a breakdown or a ranking and get the real figure worked out across the whole file, not an estimate from the first few rows. It also spots when several uploads are the same report from different periods, so comparing them is one question.
Choose which model a conversation runs on, from the set your organization has allowed, each labelled with what it is for and how heavy it is on your usage. If one is ever taken off that list, the conversation carries on with your default instead of stopping.
Switch the knowledge base, memory, past chats or any connected system off for a conversation that does not need them. The AI is offered less with every message, so each one costs fewer tokens. Ask for quicker thinking or shorter answers when that is all you need. Set your own defaults once, or change them for a single chat.
Aim a conversation at one part of your knowledge base when you only want answers drawn from that side of the business.
We can keep material your team relies on but does not own — the manuals for the products you support, or the text of a law or regulation that applies to your work — sitting alongside your own files, refreshed on a schedule so answers and drafted replies come from the current source rather than what a model remembers. It is set up with you, kept up to date by us, and costs you no storage — and if a source is kept behind a sign-in, we say so plainly and keep it current by hand instead of pretending otherwise.
Every person, organization, place, product, law and acronym in your documents is gathered into one searchable glossary: which files mention each one, the sentence it first appears in, and who or what keeps turning up alongside it. Merge J Smith into John Smith once and both the glossary and the AI treat them as the same person from then on.
Set an instruction on a folder once — extract every invoice total, flag anything that looks sensitive — and every file added there, or in a folder inside it, is checked against it automatically the moment it's uploaded.
Bring your other systems into the same workspace so InsideAI can pull live information from them — and, only where you allow it, leave its work there for a person to pick up. The services we already support start from a card with every technical detail already filled in for you, and anything else is a guided walkthrough, one system at a time, with an assistant beside it that tells you where to find each value and fills in what it can. A system with one shared account behind it is checked against the live service the moment it is saved, so you know it works before the AI relies on it; one where each person signs in themselves says plainly that there is nothing to check yet rather than showing you a red failure, and checks itself as soon as somebody does. Business systems that give every customer their own address, or that will only talk to an application their own administrator has approved, are handled the same way: we ask you for the one or two things only you can know, show you exactly what to hand your administrator, and build the rest. When a sign-in later goes stale, putting it right is a prompt in the page — security code and all — not a hunt through somebody else's admin console.
Ask which devices have gone quiet, what threats were caught this week, or where an address has turned up before, and it looks the answer up in your endpoint protection console at the moment you ask. Look, never touch: it reads and reports, and never isolates, fixes or changes anything there.
Wire in a dozen systems and it still answers like it has one job. Rather than holding every ability from every connected system in its head at once, it is handed a short list of labelled toolboxes and opens only as much as the question calls for. A narrower question in front of it is a better-aimed answer behind it — and you are not paying to describe your whole stack on every single message.
Configure how InsideAI handles different requests for different teams — including which of your connected systems each automated task may draw on, so a drafted ticket reply can check your knowledge base first and nothing reaches further than you allowed.
Every system you connect can carry your own notes for the AI, in plain language: which board holds the live tickets, which folder is just history, what your team calls things. It reads them every time it reaches for that system, and every change is kept, so an earlier wording is always one click from coming back. Notes describe a system; they never give the AI access it did not already have.
Some work should not have to wait for someone to open a chat. Set up with you, a run on a schedule can pull in the new tickets, draft a reply against your own knowledge base and leave it on the ticket as a draft for a person to send. Your admin picks which of your people each of those works on behalf of, so it can reach the tools that person has signed into themselves — and sees exactly what they see, never more. Your people can also schedule their own, in the same plain language they ask questions in — “every weekday at 8am, read my new email and write me a summary” — and one of those runs with exactly its owner’s access and nobody else’s, with each result waiting in their chat when they get in. Nothing about it is a black box: each one is a named job you can change, pause or run on the spot, and every single run is recorded — when it ran, who it ran as, how long it took, and whether it worked.
When a chart is worth seeing again, pin it from the chat with one click — or just say so — and it goes on a dashboard. From then on, opening the dashboard brings it up to date — straight from the connected tool where it can, with no AI in the way, or freshly answered when it needs judgment. Nothing runs while nobody is looking. Share a dashboard with a few people or your whole team: each person always sees what their own access allows, never yours.
Roles decide who sees and does what, and a role can build on another, so a new team lead is one role plus a few extras rather than a list rebuilt from scratch. Enforced by the server on every request, not just hidden on screen.
Each person can connect their own account to a connected system, so the assistant works with exactly what that person can see there — no shared logins, and a disconnect button for whenever they want out.
Pick which abilities each connected system hands over, ability by ability — chosen from the list the system itself offers, not from documentation you have to go find. Anything you leave out is never offered, so it can't be talked into it. Where a connected suite has several parts — mail, conversations, files — that choice has two layers: the business decides which parts it uses at all, and each person decides which of those the AI may use on their behalf. Both are opt-ins, so a part added later stays off until somebody turns it on. Where a person signs in as themselves, what the AI finds is exactly what that person could already find, because the suite's own permissions are what answer it.
Share a conversation or a whole project with teammates — everyone sees the same thread, asks their own questions, and watches the answers land, with who-said-what always clear. Or mark it read only and let the team follow along while you drive. Each person gets their own unread marker, so a busy thread tells you it has moved on without somebody else's reading clearing it for you.
Save the requests that work — straight from the message, in one click — and reuse them just as fast. Organize them into folders — one per client, per process, however your team thinks — and the same structure is what you browse from the message box, alongside a search that matches the name or what the prompt actually says. A new conversation opens by offering a few of the ones your team already has, before you have typed anything. Sharing is a decision you make once, on a folder: keep it to yourself, share it so the team can use it, or share it so the team can add to it — everything inside follows. And every edit keeps the previous wording, so making a prompt better is never how you lose the one that worked.
InsideAI keeps its own short notes on how your business works — where a figure actually lives, what your team means by a particular word, the order of steps a recurring job takes — so work that once took twenty lookups takes two. Where a note stands in for something it looked up, it holds the address rather than the answer, so it re-reads the live figure instead of ageing into a copy of one — and it can tidy its own notes when they pile up. Always within each person's permissions.
Anyone can flag an answer that misses in a single click. It lands in a review queue that we read — and so can whoever on your team you give that job to — instead of quietly staying wrong.
If an IT partner already runs your systems, it can run InsideAI for you too. It can create your organization itself, ready to use the same day, sets it up and handles the administration — your people, connected systems, keys and settings — so your team never has to. You can always see who manages you: which of their technicians have access, when each last came in and what they changed. If your prices through InsideAI ever change, you are told ahead and the change starts at the beginning of a month.
Every question a new person will have, answered inside the product — and it only shows each person the parts that apply to them. You can also just ask InsideAI how InsideAI works, in the same conversation as everything else: it answers out of that same handbook, filtered to what you are allowed to see, so it never talks you through a screen you cannot open. Every page is versioned and dated, and each person gets a training record showing what they have read, what they have confirmed they understand and what they have been trained on — with anything a page change has made out of date flagged for a second look.
insideai on PyPI for your servers, @cpcyber/insideai on npm for your pages — installed the way your team already installs things. A few lines and your software is asking questions.
A stable, versioned interface for asking questions, reading answers and reusing your saved prompts — so an integration you build today keeps working.
Have your software ask as one of your own users. They get the answer with their own permissions, in their own history — not from an anonymous robot account.
Issue a separate key for each integration, see when each was last used, and revoke one the moment it should stop working. Keys reach the published interface and nothing else.
Drop the same chat into your own product in a few lines — the same official Python and JavaScript libraries do the wiring for you. People sign in seamlessly, it knows the page they're on, and every conversation saves to their own account, right beside the ones they start in the portal.
Embed the complete chat, conversation history and all, as a whole page inside your app.
Drop in a compact popup that floats in the corner — quick questions without anyone leaving the page.
Seamless sign-in — no second login for people already in your product
Page-aware — ask "what am I looking at?" and it answers about the record on screen
Same account — embedded chats show up in the portal too, and the other way around
Straight answer on where we are: InsideAI is early. It is deployed and doing real work inside real businesses, and we are taking on a few at a time on purpose — every deployment gets a person on it, not a ticket queue.
Tell us what your team runs on and what you would want it to answer. We will be straight with you about what fits today and what is still ahead, and coming in now means real say in what gets built next.
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