Our approach
Assess, blueprint, build, govern — then run it with agents.
One method across security, AI and data. Every step is benchmarked against an international standard so value is measurable, evidence is audit-ready, and what we build keeps running after we leave — increasingly with AI agents doing the routine work under human control.
STEP 01
Assess
We start with evidence, not opinion: interviews, configuration reviews, data and platform audits, and a maturity score against a reference model. You get a candid readout of where you are and what is blocking value.
ISO 27001 / 27005NIST CSF 2.0ISO 42001AI readiness model
What happens
Stakeholder and executive interviews
Technical review of cloud, identity, data and AI estate
Risk assessment and regulatory exposure (NIS2, DORA, AI Act, GDPR)
Maturity scoring and gap analysis
Output
Assessment report, risk register and prioritised opportunity list
STEP 02
Blueprint
The blueprint turns findings into a plan the board can fund: target operating model, reference architecture, governance layers and a sequenced roadmap with business cases and cost-to-serve.
TOGAF / SABSAZero Trust (NIST 800-207)ISO 42001 AIMSFinOps
What happens
Target operating model and decision rights
Enterprise architecture: security, AI gateway, lakehouse, integration
Governance design: policies, risk tiers, human oversight
Roadmap, waves, dependencies and business case
Output
Blueprint pack: TOM, architecture, roadmap and funding model
STEP 03
Build
Our engineers deliver alongside yours — landing zones, gateways, SOC detections, data platforms, AI systems and agents — with evaluation, security and observability built in from the first sprint.
NIST SSDF / SLSAOWASP ASVS & LLM Top 10Well-Architected frameworksDetection-as-code
What happens
Infrastructure and policy as code, CI/CD with security gates
Evaluation suites for AI systems before release
Threat modelling and testing of everything we ship
Knowledge transfer and paired delivery with your team
Output
Working systems in production, documented and handed over
STEP 04
Govern
Governance is operational, not paperwork: unified controls, automated evidence, continuous monitoring and reporting your auditors, regulators and customers accept.
ISO 27001 / 27701 / 42001EU AI ActSOC 2NIS2 / DORA
What happens
Unified control framework crosswalked to every regime you face
Automated evidence collection and control testing
AI inventory, risk tiers and red-team regression
Board and regulator reporting
Output
Certifiable management systems and live compliance dashboards
STEP 05
Run with agents
The end state: agents triage security alerts, collect compliance evidence, maintain data quality and answer questionnaires — with humans approving consequential actions and every step logged. Delivered as a managed service or handed to your team.
Agentic SOCGRC-as-a-ServiceFabric-as-a-ServiceAI-First-as-a-Service
What happens
Agent identity, permissions and MCP gateway governance
Human-in-the-loop approval for consequential actions
Observability: traces, cost, quality and safety
Continuous improvement and quarterly reviews
Output
A running, measured operation — with your people in control
Flexible plans for engagement
Partner, consultant or managed service.
Partner
Long-term, outcome-based relationship: we own a capability with you — security, AI or data — and share the roadmap and the results.
FOR MULTI-YEAR TRANSFORMATION
Consultant
Fixed-scope assessments, blueprints, certifications and specialist projects with clear deliverables and dates.
FOR DEFINED PROBLEMS
Managed service
We run it: SOC, GRC, data platform or AI operations — agent-assisted, SLA-backed, reported monthly.
FOR OPERATIONS AT SCALE
Principles
What stays constant on every engagement.
Benchmarked, always
Every deliverable maps to a named standard so progress is measurable and auditable.
Technology-agnostic
Microsoft, AWS, Google Cloud; Anthropic, OpenAI, Gemini, open-weight — chosen for the outcome, not the partnership.
Secure by design
Security and privacy are engineered in from the first design review, including for AI systems and agents.
Your team leaves stronger
Paired delivery, playbooks and training are part of every engagement.
Value you can show the board
Business cases up front, benefits tracked after go-live.
Start with an assessment.
Two to four weeks, a candid readout, and a roadmap you can act on with or without us.
