A Governance‑First AI & Automation Advisory
Kurarion is an advisory firm focused on governed AI and automation for regulated and compliance‑minded organisations.
We Work With:
- Leaders (EX): risk appetite, decision rights, steering rhythm
- Builders (BU): controls + logging + evidence built into delivery
- Reviewers (GR): consistent sampling, testing, and evidence expectations
Where We Operate: Singapore & Thailand • hybrid/remote by default
Speed Matters—But Traceability Matters More
Most teams can launch a workflow, bot, or copilot. The challenge is staying auditable as:
- >use cases multiply
- partners contribute delivery
- permissions drift
- “quick fixes” bypass intended controls
-
ownership changes over time
Our point of view is simple:
If it can’t be explained, owned, and evidenced, it isn’t production‑ready.
Specific Outputs, Clear Decisions, Defensible Evidence
We focus on the practical layer that audits and governance reviews care about: what changed, who approved, what ran, what exceptions happened, and what you learned.
Evidence‑Led by Design
We treat evidence as a design requirement.
- what gets logged (and where)
- what approvals are required (and under which conditions)
- how changes are reviewed
- what reviewers should sample and expect
Tool‑Neutral, No Lock‑In
We don’t sell licenses. We don’t push a single platform.
- governance patterns that work across tools
- platform‑aligned implementation where it matters (Power Platform + Copilot, UiPath, ServiceNow)
Enablement Over Dependency
We design for teams to run the system themselves.
- role‑based training (EX/BU/GR)
- clinics and working sessions to align builders and reviewers
- reusable templates and checklists that survive team changes
Clear Scope and Cadence
We’re explicit about what we will review, when, and what the outputs are.
- review memos and remediation priorities
- heatmaps and “next-quarter focus”
- decision templates for exceptions and escalation
Confidentiality by Default
We minimise sensitive data handling.
- evidence expectations focus on metadata, logs, approvals, and traceability
- scenarios and examples can be anonymised
- NDAs and access boundaries are standard
To keep trust high, we’re explicit about what we avoid:
- governance “shelfware” that doesn’t match how teams actually deliver
- AI/automation releases without named owners, approval gates, and evidence expectations
- “black‑box” use where decisions can’t be traced or defended
- one‑off assessments that don’t leave a cadence your teams can run
Evidence and Operating Rhythm You Can Actually Run
Rather than generic recommendations, we focus on concrete, reusable artefacts that make governance usable day‑to‑day:
- Evidence expectations pack: what to log, where it lives, and what “good” looks like
- Control + review playbooks: builder checklists and reviewer sampling/testing guidance
- Decision templates: approvals, exceptions, and escalation—clear and repeatable
-
Cadence outputs: a prioritised remediation list and next‑focus areas to keep governance current
High‑Scrutiny Workflows
We focus where approvals, exceptions, and evidence obligations are real—and where governance risk concentrates.
Common examples:
- Approval-heavy process automation (multi-step approvals, delegated authority)
- Exception-heavy operations (manual overrides, fallbacks, break-glass access)
- Regulatory and internal controls workflows (evidence obligations, traceable decisions)
- Identity- and access-adjacent processes (requests, provisioning, offboarding touchpoints)
-
Reporting and attestations (recurring cycles with audit trails and sign-offs)
