Five engagements, in the client's own terms.

Situation

The company lost its security leadership shortly before a scheduled ISO 27001 recertification audit. The program existed largely on paper: evidence was scattered, controls had drifted from documentation, and no one was accountable for the response. The audit deadline was fixed.

What we owned

We stepped in as virtual CISO and took ownership of the whole program: reconstructing the control set and its evidence, closing the gaps that mattered, and preparing the organization for the audit. In parallel, we rebuilt the help-desk knowledge base and deployed AI service-desk agents to triage and draft responses, with staff reviewing before anything reached a user.

Outcome

The company recertified to ISO 27001 with zero major nonconformities. Help-desk resolution time dropped 35% through the AI agents and the rebuilt knowledge base, with a human on the trigger throughout.

Virtual CISO & Security →

Situation

An internal IT service desk was drowning in undifferentiated work. Most tickets landed in a single catch-all category, nearly everything was tagged "Medium" priority, and new tickets sat unowned until someone grabbed them, so the work quietly concentrated on one person. Every ticket started from zero, even routine issues the team had solved dozens of times.

What we owned

We built an AI first-responder that acts the moment a ticket is created: reading and understanding the request, diagnosing it the way an experienced technician would, and drafting two responses (a plain-language one for the user and a technical note for the specialist). It classifies and prioritizes the ticket, assigns an owner, and notifies the team in about twelve seconds. It is grounded in the organization's own knowledge base and human-in-the-loop by construction: the AI never messages a user on its own.

Outcome

Every new ticket now gets an owner immediately. The "unassigned pile" is gone and work is spread across the team. Categorization runs at roughly 90% accuracy, drafts are good enough that senior technicians have adopted several word-for-word, and turnaround is about twelve seconds per ticket for a few dollars a month to operate.

Applied AI & Automation →

Situation

A data-driven organization needed a secure, production-grade cloud foundation to run its applications and AI workloads.

What we owned

We designed and stood up a multi-account AWS Organization from scratch, built on blast-radius isolation: billing and org-wide security controls in a locked-down management account, real workloads never running there, and each environment and product line in its own account so a mistake or compromise in one place can't reach production. The entire build is codified as idempotent, self-verifying infrastructure-as-code, paired with an operator runbook, so it is reproducible, auditable, and safe to re-run.

What it delivers

Preventative guardrails via Service Control Policies (region lock, mandatory encryption, IMDSv2 required, public databases denied, root-user access denied in member accounts); centralized single sign-on with least-privilege, time-boxed role-based access; org-wide tamper-evident audit logging and managed threat detection that auto-enrolls new accounts; production monitoring proven by evidence pulled from live AWS APIs; and an MFA-gated break-glass path.

Cloud Strategy →