The platform
AI agents that finish the work.
Governed from one console.
CypriaAI agents look up records, apply your rules and produce the document — inside limits you set, with every step recorded and client identifiers sealed in your own network.
What you are actually buying
A chatbot answers.
An agent finishes.
Most AI projects stall after the demo, because the demo is a conversation and your business runs on completed work.
A chatbot
A CypriaAI agent
What it sees
Only the message you typed.
The message — plus your records, your systems and your own documents.
What it does
Writes a reply.
Works through the task step by step, and checks the result before you see it.
What you get
Text on a screen.
The record looked up, the case decided, the document drafted.
What keeps it in line
A written instruction it can be talked out of.
A fixed list of what it may touch, held outside the conversation.
When it does not know
Guesses, confidently.
Says so, and hands the case to a person.
What it costs
Whatever it happens to run up.
A ceiling you set, enforced on every request.
How the work gets done
Five steps, every time, with no exceptions.
Every task runs the same disciplined sequence. The first and last steps exist purely to stop an agent doing something it should not.
01
Check
Is this the work it was hired for? If not, it says so and stops — before anything is looked up or spent.
Guard step
02
Gather
It collects the history of the case, the records that apply and the part of your policy that governs it.
03
Decide
It works out the steps. If it cannot reach a grounded answer, it hands the case over rather than guessing.
04
Do
It carries out the steps in your systems — finds the record, reads the document, drafts the reply or report.
05
Check again
It tests its own result against what “finished” means for this job. Only then does anyone see an answer.
Guard step
The console
Build, publish and govern your agents.
Without writing code.
Your team defines each agent's job, tools, limits and access in one place — and can see everything every agent has done.
Guided agent builder
Define an agent in five steps: its identity, how it behaves, which tools it may use, its limits, and a final review.
Versions you control
Publish a new version without disturbing the live one, then activate it when ready. Conversations stay on the version they started with.
Access per person
Decide exactly who can use each agent. Groups make it quick to grant or remove access for many people at once.
Models per agent
Choose the AI model each agent uses — a major provider or one running on your own servers — and change it without rebuilding.
Knowledge per agent
Give each agent its own documents — policies, manuals, mandates — in PDF, Word, Excel, PowerPoint, CSV and more.
Review and audit
Read every conversation, see each agent's activity, and check the audit log of who changed what, and when.
Branded email
Send from your own mail server with your templates and layout, and keep a log of every message sent.
Test before you publish
Try how an agent understands real requests — what it accepts, refuses or hands over — before anyone else uses it.
Integrations
Works with what you already run.
Read-only by default.
Your credentials · limited to what you name
Built in — ready today
PostgreSQL
MySQL
Word
Excel
PowerPointCustom integrations — built for your stack
MCP servers
Google SheetsOpen to any integration
Your system is not listed? We build the connector.
If it has an API, a database or a file export, we connect it — under the same read-only, permissioned and audited controls as every built-in integration.
Start with the work you choose