Compliance-Ready AI Operations
Most governance frameworks fail because they are designed by compliance teams in isolation from engineering. The result is either ignored or routed around. We design AI governance alongside the engineers who will operate it, so it passes enterprise audits and survives day-to-day reality.
Governance shipped alongside the tools, no retroactive scramble when auditors arrive.
Design patterns proven at enterprise scale across multiple regulated jurisdictions. Zero data incidents across 12-week rollout.
Data residency, access scope, output provenance, audit logging, policy enforcement, vendor risk.
Framework design
- AI governance framework tailored to your regulatory context
- Acceptable-use policies for engineers and other teams
- Data-handling classification and flow mapping
- Model and tool approval workflow
- Incident response playbook for AI-specific failures
Controls & evidence
- Access-control design and role model
- Centralised audit-trail architecture
- Output provenance and traceability patterns
- SOC 2-aligned evidence documentation
- Pre-populated enterprise security questionnaire responses
Vendor & tool evaluation
- AI tool evaluation across six compliance dimensions
- Data-processing agreement (DPA) review for AI vendors
- Personal vs corporate AI plan migration
- Data residency and sovereignty assessment (MAS, PDPA, GDPR)
- Ongoing vendor risk monitoring setup
Operations
- Governance dashboard for execs and compliance teams
- Quarterly governance review cadence
- Training for engineers on policy (embedded in tooling, not PDFs)
- Audit-ready documentation pack
Diagnostic
Review your current AI governance posture against enterprise-customer expectations. We return the top three gaps and a practical path to closing them.
Hands-on Demo
Walk through a governance framework in practice: access controls, audit trails, tool-evaluation artefacts. Shows what enterprise-ready looks like before you commit.
Sprint
Hands-on framework design, controls implementation, audit-evidence pack, and tooling evaluation, all wired into the engineering workflow.
Embedded Retainer
A dedicated senior consultant stays embedded for continuous governance support: new-tool evaluations, enterprise-questionnaire responses, quarterly reviews, and audit prep. Monthly time-and-materials.
Best fit
- Software companies selling to enterprise or regulated customers
- Organisations preparing for SOC 2 Type II with AI tooling in scope
- Platform teams rolling out AI broadly across the organisation
- CISOs and engineering leaders who want one coherent AI posture
Not a fit
- Paper-only policy engagements without engineering buy-in
- Organisations unwilling to change tooling or workflows
- Pre-seed teams with no enterprise customers on the horizon
Enterprise AI Platform
Global professional services firm · 5,000+ employees · multi-jurisdiction
A large enterprise needed a secure, governed way for employees to use LLMs internally without exposing sensitive information or relying on uncontrolled public tools.
Read case studyAI workflow transformationEngineering AI Adoption
B2B SaaS · Series B · 15-person engineering team · APAC
A software company wanted to adopt AI across engineering in a practical way, but needed the right workflows, training, governance, and rollout model to make it useful and compliant.
Read case study01Do you cover SOC 2 Type II readiness?
Yes, specifically the AI-adjacent controls: access management for AI tools, logging and monitoring of AI usage, data-handling policies, vendor risk for AI providers, and incident response for AI-specific failures. We work alongside your existing SOC 2 auditor or partner firm and deliver the evidence pack they need.
02Which regulations do you know deeply?
APAC: MAS technology risk management guidelines, Singapore PDPA, and the broader regulatory landscape across the region. International: SOC 2, ISO 27001 alignment, GDPR for APAC firms with EU customers, and emerging AI-specific regulation (EU AI Act, NIST AI RMF). We tailor to your jurisdiction mix.
03Can you evaluate a specific AI tool for us?
Yes. We evaluate AI tools across six dimensions: data residency and flow, access scope and permissions, output provenance and traceability, audit logging, policy enforcement capabilities, and vendor risk. The output is a written evaluation you can use for internal approval and enterprise-security questionnaires.
04Who on the team leads this work?
Governance engagements are led by senior practitioners with deep APAC regulatory experience and hands-on enterprise compliance background, working jointly with our AI delivery lead. Individual names are shared during engagement scoping under mutual NDA.