AI Consulting Services
AI investments fail
when strategy is missing.
Technology without clear goals generates demos, not ROI. We help enterprises assess where AI actually creates value, sequence initiatives for maximum impact, and build the internal foundation needed to sustain AI beyond the first project.
Discuss Your AI Strategy →Strategy Before Technology
The most common AI failure pattern we see: a company invests in a technology (often an LLM or ML platform) before clearly defining the problem it is solving, the data available to solve it, or the team capable of maintaining it. The result is a proof of concept that never reaches production.
Our consulting approach starts upstream. We map your operations to identify where AI creates genuine value — not where it sounds impressive. We evaluate your data honestly. We build the business case with real numbers, not optimistic projections.
We are vendor-agnostic. We do not receive referral fees from any cloud provider or software vendor. Our recommendations are based solely on what fits your requirements, budget, and team capabilities.
Our consulting team has direct engineering experience — we have built the systems we recommend. This means our strategy is grounded in what actually works in production, not what sounds compelling in a boardroom.
What We Deliver
Structured outputs, not open-ended consulting hours.
AI Readiness Assessment
Honest evaluation of your data quality, infrastructure, team capabilities, and organisational readiness. We tell you where you actually are, not where you want to be.
Use Case Identification & Prioritisation
Structured discovery process to find high-impact AI opportunities in your operations. Scored by feasibility, data availability, ROI potential, and strategic fit.
Build vs Buy Analysis
Rigorous evaluation of whether to build custom AI, adopt off-the-shelf tools, or integrate vendor APIs. Total cost of ownership modelling over 3–5 years.
Technology Selection
Vendor-agnostic evaluation of AI platforms, models, and infrastructure options. We have no referral relationships — recommendations are based solely on your requirements.
Implementation Roadmap
Phased delivery plan with clear milestones, risk identification, resource requirements, and success metrics. Built to survive contact with organisational reality.
AI ROI Modelling
Financial modelling of cost reduction, productivity gains, and revenue impact from proposed AI investments. Quantified projections with assumptions made explicit.
Platforms We Evaluate
We assess options across your full technology landscape.
Common Questions
What does an AI readiness assessment cover?
We evaluate four dimensions: data (quality, volume, accessibility, governance), infrastructure (compute, storage, cloud vs on-premise), team (ML expertise, data engineering, product capacity), and organisational readiness (executive sponsorship, change management, risk appetite). The output is an honest scorecard and prioritised action list.
How do you identify which AI use cases to pursue first?
We run a structured workshop process to map your operations, identify manual or error-prone processes with available data, and score opportunities across feasibility, ROI, data readiness, and strategic importance. Typically we identify 10–20 opportunities and prioritise the top 3–5 for execution.
Should we build our own AI models or use off-the-shelf tools?
Most organisations should start with off-the-shelf tools or API-based approaches. Custom model development is justified when your domain is highly specialised, your data provides meaningful competitive advantage, volume makes API costs prohibitive, or data residency rules out cloud providers. We model this decision quantitatively for your specific situation.
How long does an AI consulting engagement take?
A readiness assessment and use case prioritisation engagement typically takes 3–4 weeks. A full strategy and roadmap engagement runs 6–8 weeks. Implementation support is ongoing depending on scope. We structure engagements with clear deliverables and decision points so you are never paying for open-ended time.
Do you also help with implementation after the strategy phase?
Yes. Many clients engage us for strategy and then move directly into implementation. Our consulting team has hands-on engineering capability — we do not hand off recommendations to a different team. The same people who designed the strategy can build the systems.
Not sure where AI fits in your business?
Start with a conversation. We will tell you honestly what is worth pursuing and what is not.
Book a Strategy Call →
