Enterprise AI Consulting

Different tools for different jobs, and we are honest about which one you are holding. If you are a genuinely large enterprise running a multi-year, thousand-seat transformation across dozens of business units, a global integrator has the scale, the bench and the coordination machinery for that, and pretending otherwise would be silly. Where an independent senior firm wins is the work that does not need an army: vendor-independent strategy where nobody is protecting a platform partnership, a fast and honest second opinion on a program that has stalled, a focused build that a large firm would wrap in six months of process, or governance and integration work led by the people who actually do it rather than sold by a partner and delivered by a rotating cast of analysts. Many enterprises use both — an integrator for the heavy lift, an independent for the independent read. We will tell you plainly when your problem is the kind that wants scale we do not have.

Almost never on model capability, which is the part everyone focuses on, and almost always on three things underneath it. Governance: without a clear risk position, an acceptable-use policy and a decision on who owns AI, legal and security become the handbrake, correctly, because nobody has given them a framework to say yes against. Integration: enterprise value lives in systems that do not talk to each other — the ERP, the CRM, the data warehouse, the ten line-of-business apps — and every connection is a discovery exercise, a permissions negotiation and a testing burden, not a line of code. And change: a technically perfect system that nobody adopts is a failed project, and adoption is a function of workflow fit and trust, not model quality. A pilot that works and never scales has usually solved the easy problem (the model) and left the three hard ones untouched. We scope enterprise work around those three from the start.

Pragmatically, and without pretending to be your regulator or your law firm. The goal is enough governance to let the organisation move safely and say yes with confidence — not a policy binder that stops everything. In practice that means a risk framework that rates initiatives by consequence and routes them accordingly; an acceptable-use position for staff using public and internal AI tools; a documented data path for each system so privacy and security can assess real facts rather than marketing; alignment to the Privacy Act 1988 and the Australian Privacy Principles; and reference to Australia’s Voluntary AI Safety Standard and the emerging regulatory direction. What we do not do is certify your compliance or issue you an accreditation — those are decisions for your legal, risk and privacy functions, and any consultant who tells you they can sign off your regulatory compliance is overreaching. We establish the facts and the framework; your accountable executives make the call.

We would rather answer this plainly than let a logo wall imply things that are not true. We are an independent AI consultancy; we are not a certification body, we do not hold ourselves out as auditors, and we do not claim vendor-partner tiers, security certifications or regulatory accreditations that we do not have. Where your procurement or risk process requires specific certifications — an information-security standard, a particular assurance framework, a named vendor accreditation — we will tell you straight whether we hold it, and where we do not, we will say so and, if useful, work alongside a partner who does rather than pretend. We think that honesty is worth more to a serious enterprise buyer than an impressive but hollow list. Our value is independent judgement and delivery that reaches production, and we would rather be trusted on that than oversell credentials.

Yes, and for most enterprises that is the sensible model rather than the exception. You already have platform relationships, an internal technology function, possibly an incumbent integrator, and a security and privacy apparatus. Our job is usually to add independent judgement and delivery capacity into that picture, not to replace it or start a turf war. In practice that looks like a vendor-independent view that is not steered by anyone’s partner incentives, a focused delivery team that plugs into your governance and change processes rather than around them, and knowledge transfer so your people own what we build. Because we take no reseller margin and hold no platform tier, we can give a straight read on a vendor your integrator has an incentive to favour — which is frequently the specific reason an enterprise brings in an independent in the first place. We document the handover so you are never left dependent on us.

It starts with a conversation, not a proposal, and the initial consultation is free. For a larger organisation the usual first paid step is a scoped AI Opportunity Audit — a written map of the priority workflows, the systems and data behind them, the governance and integration constraints on each, and a ranked shortlist with realistic effort and payback. At around $3,000 it is deliberately a diagnostic rather than a transformation program; for a large multi-division enterprise it may be scoped up from there to reflect the breadth, but the principle holds — the diagnosis should cost a fraction of what it informs. From there, engagements are quoted on scope as fixed-price work rather than open-ended day rates, because a single business unit and a group-wide program are different animals. We are transparent that for the very largest, most distributed transformations, an integrator with more scale may be the better fit, and we will say so.