we connect ai to the systems you run.
We connect the software your business runs on to Claude, ChatGPT and the other AI assistants, and build AI features into your apps. Connections we built already run for a law firm, a landscaping company and a trading client, and our own products, eSignStack, eBillStack and Vicam Clio MCP, work with the assistant your team already uses.
ask your software a question
Once your system is connected, your team works with it by asking. The assistant answers from your real records, and when you ask for a change, it makes it in the app itself.
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You:
What's coming up on the Alvarez matter, and is anything overdue?
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Claude:
Checked the matter, calendar, tasks and notes in Clio
Mediation is Thursday at 10:00. One task is overdue: the signed fee agreement, due Monday. Friday's note says the client is still reviewing it.
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You:
Log 0.3 hours on it for this call.
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Claude:
Added a time entry in Clio
Done. 0.3 hours on Alvarez today: “Call re: mediation prep.”
already at work
Five systems where AI assistants do real work today.
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01
our product · legal
attorneys run clio by asking
Attorneys at a personal-injury firm ask Claude, ChatGPT or Codex about a matter and get the answer straight from Clio. In the same conversation they log time, add notes and open new matters, so work that meant clicking through screens now takes a sentence.
Read the case study -
02
our product · e-signature
e-signatures, sent by asking
Every eSignStack plan connects to Claude, ChatGPT and Codex. Your team drafts, sends, reminds and voids envelopes by asking, and the assistant checks with them before anything goes out.
Visit (opens in a new tab) -
03 trades · ai assistant
a landscaping business run by conversation
The owner of a landscaping and turf company builds estimates and runs jobs by talking to an AI assistant, and every estimate and job lands in the app with the numbers right.
In production -
04
our product · billing
billing your ai can run
In eBillStack, an AI assistant can do anything the app does, from logging time to sending invoices, with the same permissions as the person using it, and the books always reconcile.
Visit (opens in a new tab) -
05 finance · ai assistant
research by chat, changes by agent
A private trading client researches strategies from ChatGPT or Claude and asks for changes the same way. Each request becomes an issue that coding agents pick up and build.
In production
signed in as one of your people
The assistant logs in the way your staff do, and it can only touch what that person can. Risky actions come back for a yes, and everything lands in a log you can read.
- Every assistant signs in as a real person and gets that person's permissions.
- Anything that sends, deletes or costs money waits for a person to approve it.
- Your system's credentials stay on the server we run.
- Every call an assistant makes is logged.
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You:
Send the lease renewal to both tenants.
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Claude:
Prepared an envelope in eSignStack
Ready to send “Lease renewal, Unit 4B” to Sam Lee and Priya Nair for signature. Should I send it?
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You:
Yes, send it.
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Claude:
Sent from eSignStack
Sent. Both tenants have it by email, and you'll see each signature in eSignStack as it comes in.
models with one job to do
We give language models one job each, such as screening every contact-form message before it reaches you, or writing alt text across a whole product catalogue. We build sorting, summaries and document extraction into apps the same way, inside your workflow, with a person approving anything that costs money.
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keep the ai you already pay for
eSignStack and eBillStack ship without a built-in model on purpose. Your team uses the assistant it already knows, and the software makes itself useful to it. We build yours the same way.
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coding agents, held to our standards
Every new Vicam app starts from Vicam Kit, our house rules for AI coding agents. Our developers write the plan, the agents do the work, and nothing ships until the automated tests and strict code checks pass.
what buyers ask us
Who writes the code, you or the AI?
What stops the AI doing something it shouldn't?
Can our team keep using ChatGPT or Claude?
Where does our data go?
What happens when the AI models or the standards change?
Do we need to replace our software?
bring us one task.
Tell us one thing your team would hand an AI tomorrow, and we'll show you how it would work in your systems.