AI Alignment
The strategy, governance, and operating models that make your organisation AI-native
Transform your structures, processes, and artefacts with our AI Trust Operating Model (ATOM)
We help you to:
Assess your AI maturity and readiness across teams
Identify and prioritise the use cases with the clearest return
Align AI strategy to measurable business outcomes
Build the operating model that governs how AI gets used
Embed the standards and support that make it stick
AI Alignment Services
AI Maturity Assessment
A structured analysis that scores where AI stands today across development, operations, and product, with a phased roadmap to close the gaps.
AI Strategy
Sets the AI vision and investment case against measurable business outcomes, so spend follows a plan rather than momentum.
AI Governance
Policy, risk register, and RACI design, built to let you evidence every AI-assisted decision to a regulator, client, or auditor.
AI Trust Operating Model (ATOM)
Gives every AI decision a named owner, mapped to ISO/IEC 42001, so accountability holds up under audit rather than falling apart under scrutiny.
Agentify the Business
A hands-on programme that puts agentic AI to work across real workflows, moving from pilot to embedded practice rather than staying a proof of concept.
AI Impact & Roadmap Reviews
Recurring checkpoints that measure the return AI is actually delivering and set the next priority before momentum stalls.
Every team is already using AI. Alignment is the first step to giving your team a structure.
AI is already live across the business, running in every team without a shared plan. Budget goes into pilots without a shared case for return, nobody is accountable when an AI-assisted decision goes wrong, the data feeding those tools sits undocumented, and adoption spreads unevenly.
Left alone, that adds up to inconsistent results across teams, AI spend nobody can tie to a return, and questions from clients or regulators that arrive before the answers are ready.
Zartis works with leadership teams to close that gap: establishing where AI investment should go, implementing ATOM, our proprietary AI Trust Operating Model, which gives every decision an owner.
Our AI Navigators help you document the data and models behind the operating model, and bring every team along at the same pace. The result is an operating model your teams can run from day one.
Our capabilities
The organisational groundwork that makes AI adoption safe to scale
Strategy & Investment
- AI vision and business case alignment
- Investment prioritisation by business impact
- Build-versus-buy decision frameworks
Governance & Risk
- Policy, risk register, and RACI design
- Pre-deployment and audit review processes
- Compliance mapping to recognised standards
Data & Knowledge Foundations
- Data readiness baselines
- Model and prompt record-keeping
- Knowledge quality ownership
Change & Adoption
- Change management planning
- AI talent and readiness assessment
- Embedded guidance from squad to C-suite
Use cases
In action
How AI Alignment shows up in practice, from faster decisions to sharper spend
FAQs: AI Alignment
What does an AI Alignment engagement actually involve?
It starts with establishing where you stand today: an AI maturity assessment scored across development, operations, and product, alongside a governance gap analysis. From there, we build the operating model, ownership structure, and investment roadmap needed to close the gaps. The output is a working structure your teams can run, not a strategy deck that sits unused.
How is this different from a generic AI strategy consultancy?
Most strategy work stops at recommendations. Zartis builds the operating model and stays involved as it beds in, with AI Navigators working alongside your teams from squad level through to the C-suite. The people who design the governance framework are the same people who help you implement it.
How does this relate to AI Enablement and AI Development?
AI Alignment covers the organisation: strategy, governance, and operating model. AI Enablement covers people: training teams and embedding tools like Claude Code into daily work. AI Development covers products: building the agentic systems and infrastructure once the operating model is in place. Most clients start with Alignment because it defines the decisions the other two depend on.
Do we need AI already running in the business, or is this for organisations still deciding whether to invest?
Both. If AI is already live across teams in an ad hoc way, the priority is bringing it inside a governance structure before a regulator or client asks you to. If you’re still deciding where to invest, the maturity assessment and use case prioritisation give you a sequenced roadmap before you commit budget.
What frameworks does the governance work map to?
Our proprietary AI Trust Operating Model (ATOM) is structured against ISO/IEC 42001, covering board direction, risk and assurance, data and knowledge, and execution and operations. Each area answers who owns it, how it’s controlled, and what evidence proves it, so the structure holds up to an actual audit rather than just an internal review.
What happens once the engagement ends?
You’re left with a documented operating model, governance artefacts, and a prioritised roadmap your teams own outright. Many clients keep embedded AI Navigator support running alongside their teams as adoption scales, but that’s optional rather than a dependency we build in by default.
Why Zartis?
We transform AI ambition into an operating capability across your organisation, people, and products, and help you reach beyond a collection of isolated tools or pilots. Most consultancies advise and most engineering firms build; we do both, and we connect them. That’s backed by a genuinely global delivery model, giving you dedicated teams that scale with the engagement.
We’re also a Preferred Services Partner in the Claude Partner Network, and we apply the same production discipline in governance, reliability and cost control to every model we deploy.