AI Consulting & Strategy
Identify, prioritise and architect the AI investments that will actually move the business.
Independent, senior led AI consulting that maps where artificial intelligence will create measurable value inside your operation, before you commit a single engineering hour. We audit workflows, data, systems and team readiness, then deliver a costed, prioritised AI roadmap your leadership team can defend to the board.
- →AI opportunity audit across operations, finance, sales and delivery
- →Data readiness, governance and security posture review
- →Build vs buy vs partner recommendations for each use case
- →Costed, prioritised AI roadmap with ROI projections
- →Solution architecture and vendor selection support
- →Executive workshops and team enablement sessions
AI consulting that tells you what will actually work
Most AI consulting engagements produce a strategy document and a presentation. Zeacle's AI consulting produces a technical specification, a prioritised roadmap, and in most cases, the beginning of a build. We are engineers first. When we consult on AI, we do so as people who will be building what we recommend.
That distinction matters. An AI consultant who cannot build has no accountability for whether their recommendations are technically feasible, correctly scoped, or actually deliverable. We recommend what we know we can build because we are the ones who build it.
Who AI consulting is for
AI consulting is the right starting point for organisations that have identified AI as a priority but have not yet determined where to focus, what to build, or how to evaluate the options available to them. It is also valuable for organisations that have attempted AI projects that did not reach production and want an honest assessment of why and what a better approach would look like.
We work with operations directors, CTOs, founders, and practice leaders who need a technically credible partner to help them think through the problem before committing significant resources to a solution.
What our AI consulting covers
AI opportunity diagnostic: a structured assessment of your operations to identify where AI creates the highest leverage relative to implementation complexity and cost. We map your workflows, identify the steps that involve pattern recognition, document processing, classification, or prediction, and rank them by the size of the prize if automated and the technical difficulty of doing so reliably.
Technical architecture design resolves model selection, training versus retrieval augmented generation versus fine-tuning decisions, integration approach, data infrastructure requirements, security model, and human in the loop design at the architecture stage rather than during development.
Vendor evaluation, proof of concept, and governance
AI vendor and tool evaluation: we evaluate AI platforms, foundation models, automation tools, and specialist AI applications against your specific requirements, providing a clear technical assessment of each option's fit, limitations, pricing model at scale, and lock-in implications.
Proof of concept design and oversight answers the specific technical question in the minimum time and at the minimum cost. AI governance and risk framework covers human review requirements, audit logging, model performance monitoring, and escalation protocols for regulated industries. Existing AI system review identifies the root cause of underperformance and provides a clear remediation plan.
What makes our AI consulting different
We are engineers, not strategists. Every recommendation we make is one we know how to build and are prepared to build. We are honest about what AI cannot do. Not every problem benefits from AI. We will tell you when a simpler automation or a process change is the right answer.
We price consulting against a build. If our consulting engagement leads to a build with Zeacle, the consulting investment is credited against the build cost. We have deployed production AI systems. Our recommendations come from having built systems that operate under real conditions with real data, not from reading papers about systems that other people built.
No. Every Zeacle consulting engagement produces a costed, prioritised roadmap with named use cases, build estimates, integration architecture, ROI projections, and a recommendation on build vs buy vs partner for each line item. The output is something your engineering and finance leads can act on.
No. Where an off-the-shelf platform is genuinely the right answer we will recommend it. Our job is to tell you the truth about which problems deserve a bespoke system and which do not.
A focused AI opportunity diagnostic typically takes one to two weeks and produces a prioritised opportunity map and a recommended starting point. A full technical architecture design engagement for a specific AI system typically takes two to three weeks and produces a specification ready for development. Ongoing advisory retainers are also available for organisations that want a senior technical AI partner available throughout a multi phase programme.
Yes. Many of our consulting engagements are with organisations that are approaching AI for the first time. We start with no assumptions about existing knowledge and build the assessment from your actual operations and your actual data. The absence of existing AI capability is not a barrier. The presence of a specific operational problem that AI can solve is what matters.
A focused AI opportunity diagnostic is priced between $3,000 and $6,000 depending on the scope and complexity of the operation being assessed. A full technical architecture design engagement is priced between $5,000 and $12,000. Both fees are credited in full against a subsequent build engagement with Zeacle.