Your quotations are in one vendor's cloud. Your email is in another's. Your project plans are in a third, your attendance in a fourth, and the CRM nobody updates is in a fifth. Not one of them can see the others.
So a salesperson asks the delivery team whether a job can be done by March, and the delivery team asks the project tool, which does not know what was promised in the email thread, which does not know what the drawing actually says. Three people spend a morning reassembling something the company already knew. This happens every day, and it does not appear on any budget line.
Then AI arrived, and each of those five vendors added an assistant. Each one is quite good — inside its own slice. None of them can answer the only questions that matter, which always cross slices: can we commit to March, and what did we promise this customer last time?
An SME cannot solve this the way a large enterprise does, by hiring a platform team to integrate six systems. So we built the other answer: one core, three modules on top of it, and everything in the same index.
The value was never in the AI. It was in your company finally being able to see itself.
The modules below are views onto one system, not separate applications that sync overnight. That single decision is what makes the rest possible — and it is why we could not simply resell somebody else's stack.
Email, files, deals, projects and people in a single index. An answer can cite a contract clause and the thread that negotiated it, because both live in the same store.
Who may see what is defined once and enforced everywhere — including in what an agent is allowed to retrieve on somebody's behalf.
Every retrieval, every agent action, every human approval, append-only. This is what makes your AI defensible when a customer audits you.
A customer asks why the price went up. The answer is in an email from fourteen months ago, referring to a revision of a drawing, which is in a folder somebody named "final_v3". The person who knew where it was has left.
Varahi Workspace is your mail and your files on your own storage, with the model reading them where they sit. You ask in plain words and get the thread, the attachment and the revision that actually applies — not a list of search results.
When it drafts a reply, it quotes the real document and attaches the citation, so the person sending it can check the claim before it goes out. That is the difference between a useful draft and a confident guess.
Your mail archive is the most sensitive asset the company has — pricing, disputes, salaries, everything. It is also exactly what an AI assistant needs to read to be useful. Those two facts are only compatible if the model runs on your side of the wall.
Every CRM in every SME tells the same lie. The pipeline says eleven live deals. Four of them died months ago, two are further along than the record shows, and one big one was never entered at all because it started as a WhatsApp message. Everyone knows the number is wrong, so nobody trusts it, so nobody updates it.
Happen inverts the work. Instead of asking your salespeople to tell the system what happened, it reads what happened — the emails, the quotes, the calls, the site visit photos — and keeps the pipeline current. A person's job becomes correcting it, which takes seconds, rather than filling it in, which takes an hour nobody has.
Vision handles the intake nobody else does: the dimensioned drawing a customer sends, the spec sheet photographed at a stand, the business card, the whiteboard from the meeting. It reads them and files them against the right account.
Outreach agents work a defined list on an approved script, within a call budget — including outbound calling. Research agents build an account brief from your own history before anyone dials, with a source against every claim.
In the model beside this, the agents sit outside the pipeline with their reach going outward, and one orange gate sits on the pipeline itself. That is not decoration: an agent may open a conversation, but a person closes a deal.
The project is three weeks late. The project tool says it is on track, because the person who updates it has been on site all month. The reason it is late is that the one man who can commission that panel was on leave — which is in a different system entirely.
VarahiConverse puts projects and people on the same core, which is the only arrangement in which that sentence can be caught before the customer catches it. A delivery date and the person accountable for it are never two systems apart.
Project state is assembled from the work itself — the mail, the files, the approvals, the calls — rather than from someone's memory of it on a Friday. When something slips, you get the slippage and the evidence that caused it, which is what makes the conversation about the problem instead of about the report.
Attendance, leave, onboarding and appraisals run on the same identity model as everything else. Nobody maintains a second list of who works here.
And it is voice-first, because a site engineer with a hard hat on is not going to open a form. He says what happened; it goes to the right place; it works with no signal and syncs when the phone is back.
In every model on this page the agents sit outside the structure, on an orbit or a ring, because that is what they are: budgeted processes that run against the core and defer to a person. They get a scope, a budget and an audit trail — never a logo.
Works a defined list on an approved script, within a call budget. Hands over the moment the conversation leaves its scope.
Builds an account brief from your own history plus what you have licensed. Every claim carries its source.
Proposes stage changes and next actions from evidence in the corpus. A human accepts or rejects; the verdict is kept.
Reads what arrives — quotes, POs, drawings, CVs — files it against the right record and flags what does not match.
In the model at the top of this page, the base is a sealed ring of blades with no opening anywhere — unlike our site-boundary structure, which has exactly one gate. That difference is deliberate: in an SME deployment there is no inbound path at all.
Model weights, the retrieval index, prompts, traces, evaluations, and every document the company has ever produced. None of it is copied out to be processed.
Signed model updates, on your schedule, applied by your admin. Outbound business traffic — mail you send, calls you place — leaves through the channels it always did.
A single on-premise server for a typical SME, sized to your headcount and corpus. Quantised models chosen to fit a box you can actually buy and cool.
If a claim of sovereignty cannot be drawn as a boundary, it is a marketing position, not an architecture.
Tell us your headcount, what your data looks like and where the company keeps losing time. First conversation is with an engineer, not a salesperson.