From intelligence
to action.
Build the operating layer for compliance, risk and fraud. Orchestrate what matters. Protect what counts.
Talk to Aurachain
Platform · How it works
How it works,
and why people like working in it.
Build it in days, with AI or in the visual builders.Use it every day, with agents carrying the work and people taking the decisions.Governed from the first click, with permissions, versions and every decision already on the record.
01 · Build
Fast to build. Just as fast to change.
One application holds everything the process needs: the steps, the screens, the data, the documents, the integrations and the AI agents.
- Build it with AIDescribe what you need to your own agent through Intent AI.
- Or build it yourselfVisual builders for the process, the screens, the data and the documents.
- Change it as you goChanging what is live works exactly like building it.
Configured, not coded. When the rule changes, the process changes in hours, not in the next release.
How applications are built02 · Use
From request to resolution.
A clear path through the work, screens people understand without being trained on them, and analytics that answer the question before anyone has to build a report.
- STEP 01The request enters
A connected system opens the task, or a person does. The data comes with it.
- STEP 02AI agents carry the work
Agents read the documents, check them against your rules and draft the assessment.
- STEP 03People take the decisions
Anything that carries consequence goes to a person, to approve, reject or override.
- STEP 04The task closes with evidence
Everything that happened is already on the record when the task closes.
- Task opened from core system
- Documents extracted and indexed
- Agent assessment drafted
- Awaiting reviewer decision
- Reviewer decision recorded
- Task closed with full record
AI agentPersonSystem
Use is more than working the tasks
My tasks
Everything assigned to a person, with status and deadline, and an AI assistant inside the task.
Process Live View
Every running instance in real time: who is working on what, what is delayed, what is idle.
Insights and reports
Dashboards for each team, and your AI agent can turn a question into a report you can export.
AI agents are governed execution objects in your workflows.
03 · Govern
The same controls apply to every application, from build to production.
Access is set by role. Every action, by a person or an agent, is logged as it happens. Changes are versioned, approved before publishing, and reversible.
Audit trail
Real-time logs of every action, ready to export whenever they are asked for.
Access control
Permissions down to field and action level, through your identity provider.
Organisational structure
Your hierarchy mirrored in the platform, so work is delegated with oversight intact.
Change control
Version history, approval before publishing, and rollback when you need it.
Inside a single task
- AI agentAgent
Assessment drafted, sources attached.
- SystemAPI
Client data retrieved from the core system.
- UserOverride
Finding overridden, reason recorded.
- Task closedClosed
Decision, reasoning and sources kept in one record.
Every decision traces back to the person or agent that made it, with the reason attached.
How governance worksYour systems
It runs on the systems you already have.
- 01Core systems stay the source of truth
Activity in another system can start a process, and updates are written back, through integrations with the systems you already run. Nothing has to be replaced.
- 02Your identity provider, your access rules
Employees sign in with the company credentials they already use.
- 03Your choice of deployment
Run it in the cloud or on-premises, on a platform certified to ISO/IEC 27001, and SOC 2.
What moves onto Aurachain is the work that lives in spreadsheets and inboxes today.
Where it runsBefore you ask
Questions that decide it
What is Aurachain?
Aurachain is the execution layer where regulated institutions turn obligations, risk signals, and fraud alerts into governed, audited action.
Do we replace the systems we already run?
No. Aurachain reads from your core and legacy systems, which stay the source of truth. What moves is the work currently happening in spreadsheets and inboxes.
What is Intent AI?
Intent AI connects your own AI agent to Aurachain through MCP. You describe the application in plain language and your agent builds it with the same modules your teams use. Your people review the result before anything goes live.
Where does AI stop and people take over?
AI agents do the reading, checking and drafting. Decisions that carry consequence go to a person, who can approve, reject or override, and every step is recorded in the same task.
How is this different from a general-purpose application platform?
Governance is part of the platform. Audit trails, approvals, permissions and version control are inherited by everything built on it.
Is this only for compliance teams?
No. It is for any process that has to hold up to scrutiny, which in a regulated business is most of them.
What happens when a rule changes?
You change the process under version control. The previous version is kept and the change is on the record.