AI agents for
real operations.
An Ayntra agent is software that can read your systems, decide what to do and do it, within limits you set. It handles the routine and hands the rest to your people.
The agent loop
Sense, decide, act, learn.
Every agent runs this loop continuously. You choose which steps it may take on its own and which need a person's approval.
Read the signal
Pulls live data from sensors, inboxes, ERPs and APIs.
Reason it through
Weighs the data against your rules and past outcomes.
Do the work
Files the ticket, adjusts the setpoint, sends the reply.
Get better
Logs every result and asks a person when it is unsure.
Agent types
Agents built around a job, not a demo.
Each agent is shaped to one team's work and connected to the tools that team already uses.
Operations agent
Monitors assets and sites, raises and follows up work orders, and reports on what changed overnight.
Finance agent
Reconciles invoices and payments, chases missing documents and prepares reports for review.
Support agent
Answers routine questions from your knowledge base and drafts replies for anything sensitive.
IoT agent
Reads device data, spots faults early and acts on them through your control systems.
Sales agent
Qualifies leads, keeps the CRM up to date and prepares follow-ups for your team.
Internal helpdesk agent
Answers staff questions on HR, IT and policy, and routes the rest to the right person.
Guardrails
You stay in charge.
An agent is only useful if you can trust it. These controls are part of every agent we deliver.
Human approval
You decide which actions need sign-off before they happen.
Full audit log
Every reading, decision and action is recorded and reviewable.
Least access
Agents get only the permissions their job needs, nothing more.
Your data stays yours
Deploy in your own cloud account when your policies require it.
Connects to
Works with the tools you already run.
Agents connect through standard APIs and protocols, so there is no need to replace your systems first.
From idea to running agent
How we deliver an agent.
A short, fixed path from a conversation to an agent your team relies on.
Pick the job
We map one workflow with your team and agree what success looks like.
Prove it
A working agent on your real data, run side by side with your team.
Switch it on
Connected to live systems, with approvals and monitoring in place.
Keep improving
We watch results, tune behaviour and add the next workflow.
Questions
Common questions.
What is the difference between an agent and automation?
Automation follows fixed steps. An agent can read unstructured input such as emails, documents or sensor patterns, decide which steps apply, and handle cases a fixed workflow would get stuck on. We often use both together.
Will an agent replace my team?
No. Agents take over repetitive work so your people can focus on decisions, customers and exceptions. Anything outside the agent's limits goes to a person.
Where does our data go?
We agree this with you up front. Agents can run in your own cloud account, and we only connect the systems the job needs.
How do we start?
Send us one workflow your team repeats every day. We will come back with whether an agent is the right fix and what a first version would look like.
Ready to plan your first agent?
Tell us about one job your team repeats every day. We will show you what an agent could take off their plate.