Automated fault finding
The root cause of every fault, found for you.
Routing a ticket is easy. Finding why it broke takes a specialist who knows the system. Indagara investigates every ticket and alert automatically, across your services, suppliers and customers' integrations, and shows the evidence. Any engineer can act, not only the specialist.
See it work
One fault. Four hundred contacts. One investigation.
A council's sign-in breaks on a Monday morning. Contacts pour in from web forms, email, the service desk and the support chatbot. Press play to watch Indagara handle it.
Contacts arriving
The investigation 0 running
- Sort the first contact: a fault, not a question
- Read the sign-in service's logs for the time window
- Compare the council's signing key with the registered one
- Check every other customer still signs in normally
- Match the guidance: an unregistered key gives this error
The council's platform renewed its signing key overnight and the new key isn't registered. The sign-in service is working normally. Route to integration support, with the evidence.
What changes
"Signing in to some council services is failing. Other services work normally. You don't need to reset your password."
An illustration with invented data, sped up. Indagara drafts; people approve, publish and send.
How it works
From a specialist's skill to a repeatable process.
Today, finding a root cause means a specialist who knows AI, the tools and the system, working by hand. Indagara turns that practice into one repeatable process, with the tools and guardrails built in.
Every contact, every channel
Web forms, email, the service desk and the chatbot. Each contact is sorted into a fault, a request or a question.
Fault finding, automatically
Logs, alerts and the code that was running, checked against how each component works. One investigation per incident, however many contacts it causes.
The evidence, not a verdict
The likely cause, a confidence score, the impact and the team to fix it, with every claim linked to its source. Engineers can challenge it, and it revises.
Self-service that knows what's wrong
Known issues drafted for staff to publish. A support chatbot that tells people when a problem is already known, before they raise a ticket.
Why not just give everyone an AI assistant?
A general AI can read logs. It doesn't know your systems.
It doesn't know how each component is built, who owns it or what broke last time, and nothing checks its answers. Indagara adds the parts that make AI dependable in operations.
Component knowledge
A living description of every component: how it works, what it depends on and who supports it.
Checked answers
Every conclusion carries its evidence. Nothing unsupported is presented as fact.
Memory
What fixed a fault before is used next time, so the process gets better with every case.
Guardrails
Each agent has its own identity, limited tools, a stop control and a permanent record.
The product
See what your engineers see.
Screens from the Indagara design, with invented data.
Trust
Built for organisations that have to explain every decision.
People stay in control
Indagara reads your systems. Its only change is setting the team on low-risk tickets, once its accuracy is proven. Anything it drafts, a person sends.
Stop any agent at once
An agent's access can be cut within a minute. Every decision is recorded with its inputs, evidence and the human response.
Data stays where it should
Personal details are hidden before any AI model sees them. Models run in the UK region by default. The public chatbot never sees internal evidence.
Early access
Register your interest.
Indagara is in development at AI Applied in Glasgow. Tell us about your services and we'll be in touch about early access and pilots.
Ideal for teams running several digital services, with in-house engineers, suppliers and many customers.