Build and Run Governed AI & Automation
Choose Your Starting Point
Not sure where to begin?
- Start with 1A if you need inventory + risk baseline and clear priorities.
- Start with 1B if one domain is high‑risk (Invoice‑to‑Pay / Onboarding & Access).
- Start with 1C if Power Platform + Copilot is scaling fast.
If you already have governance but need working outcomes fast, start with 2A/2B/2C.
A Clear Path From Baseline to Durable Governance
Diagnostics & Roadmaps
Find your starting point, de-risk the next 6–24 months, and give builders clear patterns to follow.
Focus: Readiness assessments, domain deep dives, and platform starters.
Typical Outputs: Baseline + risk heatmap, governance priorities, 6–24 month roadmap, starter control/pattern pack.
Packages
- 1A — Governance Readiness Assessment (4–8 weeks)
Inventory bots/flows/apps/copilots, assess controls and evidence, deliver heatmaps + roadmap. - 1B — Process Domain Deep Dive (6–10 weeks)
One domain (e.g., Invoice-to-Pay / Onboarding & Access): process + control design, patterns, and domain roadmap. - 1C — Power Platform & Copilot Governance Starter (3–6 weeks)
Environment/DLP/ALM triage, Copilot usage review, and platform-specific governance patterns.
Automation Delivery
Design and deliver governed automation in high‑risk domains—controls, evidence, and partner/team coordination built in from day one.partner/team coordination built in from day one.
Focus: Domain-specific solution design, control points, and go-live readiness.
Typical Outputs: Governed solution architecture, control/evidence specifications, delivery playbook, and audit-ready templates.
Packages:
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2A — Invoice-to-Pay Delivery (3–6 months)
Governed design for invoice processing with approvals, reconciliations, fraud checks, and evidence capture (RPA/workflows/document AI as appropriate). -
2B — Onboarding & Access Delivery (3–6 months)
Joiner/mover/leaver workflows with identity controls, logs, and review patterns; coordinated with security and IAM stakeholders. -
2C — Compliance & Reporting Pilot (3–6 months)
End-to-end pilot for one regulatory or internal report: task allocation, AI assistance, controls, and evidence, packaged as an audit-ready runbook.
Ongoing Governance
Keep automation safe as it scales—cadenced reviews, design clinics, and coaching that reduce audit risk and operational surprises.
Focus: Ongoing governance support for changes, incidents, and new AI/automation use cases.
Typical Outputs: Updated risk/control heatmaps, exception handling playbooks, review notes, and continuous-improvement actions.
Packages:
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3A — Governance Retainer (Lite) (6–12+ months)
Quarterly reviews of changes and AI usage, incident/issue review, heatmap updates, and remediation prioritisation. -
3B — Governance Retainer (Plus) (6–12+ months)
Everything in Lite plus monthly design/exception clinics, partner/team coaching, and optional incident simulations/drills.
Related Page: Retainers
Training & Enablement
Build lasting capability—executive alignment, builder training, and GRC/audit readiness anchored to your roadmap.
Focus: Practical enablement tracks that make governance usable (not just documented).
Typical Outputs: Role-based playbooks, workshop artefacts, sample evidence packs, and review/assessment checklists.
Modules:
- 4A — Executive Briefings (EX track)
Leadership alignment on risk appetite, operating model, governance cadence, and roadmap ownership. - 4B — Builder Academy (BU track)
Governed design skills, reusable patterns, and hands-on build labs for teams and delivery partners. - 4C — GRC & Audit Program (GR track)
How to test automations, verify controls, review evidence, and close findings confidently. - JT — Joint Workshops
Cross-functional simulations and drills (EX/BU/GR together): approvals, exceptions, incidents, and escalation paths.
Related Page: Training
A Simple Sequence That Most Teams Follow
Typical sequence: 1A/1B/1C → 2A/2B/2C → 3A/3B, with EX/BU/GR/JT modules added where needed.
Every package includes governance assets: checklists, heatmaps, patterns, and review templates tied to the roadmap.
Governance First, With an Advisor + Coach Model
Governance First
Built-in controls and evidence—so automation stays safe as it scales.
- Policies → controls → evidence defined up front
- Approval points, exceptions, and logging designed early
- Audit-ready patterns from day one
Advisor + Coach Model
We guide your teams and partners—without becoming a delivery bottleneck.
- Design clinics + working sessions to unblock delivery
- Coaching for builders, product owners, and GRC reviewers
- Runbooks and operating model you can sustain
Ecosystem Focus
Depth in the platforms clients actually run—governed delivery end-to-end.
- Microsoft Power Platform + Copilot governance proven in practice
- ServiceNow workflows, controls, and operational readiness
- RPA/AI tools where governance and evidence are achievable
Audit‑Ready Outcomes You Can Stand Behind
Audit-ready outcomes that make AI and automation safe to scale—clear ownership, defined controls, and evidence you can stand behind in reviews.
Clear ownership, approvals, and logging for each domain
Risk/control heatmaps with prioritised remediation
Reusable patterns and templates for builders and GRC
A review cadence that keeps automation auditable as adoption grows
Ready to Scale AI & Automation Without Governance Gaps?
Email: enquiry@kurarion.com | Phone / WhatsApp: +65 8876 8972