Altive — Governance for AI-Assisted Software Development

How we engage

One engagement, five phases, a capability you keep.

Altive engages through ADOPT: Assess, Design, Operate, Prove, Transfer. It moves you from informal, unseen AI coding to a governed practice that produces evidence your auditors can examine, and then hands that capability to your own teams.

We work at the level of outcomes and governance, not by handing over a generic playbook. Each phase produces something concrete you can point to, and the detailed control work happens inside the engagement, tailored to how you already build.

The ADOPT engagement

What you get at each phase.

Each phase is defined by its outcome. You always know what the phase produces and why it matters before it begins.

  1. APhase 01

    Assess

    Establish where you actually stand before changing anything.

    A clear, evidence-based picture of how AI coding is used across your teams today, where shadow adoption hides, and the risk already sitting in your codebase, scored against the Governed AI Development Maturity Model.

    You receive

    • Maturity assessment
    • Gap report
    • Prioritised roadmap
  2. DPhase 02

    Design

    Shape governance that fits how your engineers already build.

    Governance designed around your risk tiers and regulatory obligations, proportionate guardrails that enable delivery rather than a heavyweight process teams route around.

    You receive

    • Tailored VO-TECH-002 Secure SDLC standard
    • Risk-tier model
    • Approved tool registry
  3. OPhase 03

    Operate

    Put the governance into the flow developers already use.

    AI-assisted development continuing at speed, now inside agreed boundaries that are visible and measurable, with governance running as part of normal delivery rather than as a separate gate.

    You receive

    • Operating model and roles
    • Runbooks
    • Pipeline integration plan
  4. PPhase 04

    Prove

    Turn informal AI usage into something you can demonstrate.

    A continuous, linked audit trail from prompt to production, so when an auditor or regulator asks how a change was produced, reviewed and released, you have evidence they can examine rather than assurances.

    You receive

    • Evidence register
    • Examiner-ready audit trail
    • Regulatory alignment mapping
  5. TPhase 05

    Transfer

    Leave you self-sustaining, not dependent on us.

    A governance capability your organisation owns and can run without us, with ownership, roles and the means to keep producing evidence handed over to your teams.

    You receive

    • Capability handover
    • Team enablement
    • Ongoing improvement plan

What you walk away with

Concrete artefacts, owned by you.

The engagement leaves you with working artefacts, not slideware. These are named here so you know what to expect. The detail inside each is built with you, for your context.

Tailored VO-TECH-002 standard

Your own AI Secure SDLC standard, shaped to your risk tiers and obligations.

Approved tool registry

A maintained record of which AI coding tools are approved, and for which risk tiers.

Risk-tier model

A model that scales controls to the criticality of each change, from T1 to T4.

Maturity assessment & gap report

Where you sit today against the maturity model, and the gaps that matter most.

Evidence register

The single register that links every artefact into a continuous audit trail.

Operating model & runbooks

The roles, responsibilities and procedures that keep governance running.

Deliverables are tailored to your organisation. Altive supports alignment with the relevant frameworks and standards; we do not certify, audit or issue certifications.

Start with an assessment, not a rebuild.

The first step is a no-obligation conversation and an assessment of where you stand today. From there, we shape an engagement that fits how you already build.