Know where you stand, and where to go
An honest baseline of your data and AI maturity, a roadmap, and the delivery to execute it.
Our approach
We assess your data and AI maturity against a structured scorecard, covering data foundations, infrastructure, governance and risk, skills and use cases. Then we set the roadmap, the governance framework and the executive plan, and we stay to deliver against it, so the strategy turns into shipped systems.
Readiness Audit
A structured scorecard across data foundations, infrastructure, governance and risk, skills, and use cases, benchmarked against organisations that have shipped AI into production.
Roadmap
A sequenced plan that turns readiness gaps into a delivery backlog, aligned to business outcomes and the platforms you already run.
Governance Framework
Ownership, approval, monitoring and escalation defined for models and agents, so the ones that reach production do not create risk.
Executive Plan
A short, board-ready plan showing where AI investment goes, what it delivers and when, and how the organisation is set up to run it.
What's in the way
Most organisations either overestimate how ready they are for AI, or have no clear view at all. Without an honest baseline and a plan, AI spend goes to projects that never reach production.
How we deliver
A short, focused engagement built on interviews with your key people and a review of your data and systems. Run by senior people who have delivered AI into production and who stay on to execute the plan they wrote.
When to bring us in
The usual first step for most organisations. It de-risks everything that follows: a platform build, a first agent, or a Xavier deployment. It applies across every industry, and retail media programs in particular routinely start here.
What you'll see
Baseline in weeks
A structured maturity scorecard and a sequenced roadmap in weeks, so investment decisions stop waiting on opinion.
De-risks what follows
The step that comes before a platform build, a first agent or a Xavier deployment, so the money that follows lands on work that ships.
Delivered as well as written
The senior people who write the roadmap stay to execute it, so the plan turns into shipped systems.
Xephyr were able to help us unearth the true data capability and maturity of an acquisition target. Not only from a technical perspective, but how competitive the target's capability was relative to the rest of the market. This was an extremely important factor in our valuation of the target.
Bing Jiang
Partner, Next Capital
See how this applies to your industry
Common questions
What does an AI strategy consulting engagement include?
An AI strategy engagement sets your AI roadmap, your governance framework, and the executive plan to deliver it. At Xephyr we do not stop at the deck: we stay to execute the roadmap, so strategy turns into production systems rather than a slide library.
What is an AI governance framework and why do we need one?
An AI governance framework is the set of rules, controls and accountabilities that keep AI safe, compliant and auditable as you scale it. It covers data access, model risk, human oversight and monitoring. Enterprises need one before agents touch production data, not after.
How is a boutique AI strategy consultancy different from a big firm?
You get senior specialists who have built and shipped AI, working directly on your engagement rather than staffed through juniors on someone else's learning curve. Xephyr is onshore, accountable for the outcome, and builds inside your environment under your governance.
How long does an AI roadmap take?
A roadmap engagement is typically scoped over a 12 to 36 month horizon, with the initial roadmap delivered in a short, focused first phase. We set the near-term plan and the longer arc together, so execution has a clear runway.
Ready to transform your data?
Book a call with our team to discuss how data and AI can drive results for your business.