AI consulting that ships, not just slides.

An AI consultant is a senior practitioner who helps an organisation decide where AI fits, scopes the first projects, makes vendor and build-versus-buy decisions, and sets up governance. At SeidrLab, the consulting work covers strategy and implementation from the same team. The partner who recommends a system is also accountable for whether it ships and works. We are not strategy-only and we are not a build shop, we are both.

Three filters. First, look at who actually does the work. Senior partners on the engagement, or a junior team managed by partners? Second, look at the incentive structure. Vendor-agnostic, or paid to recommend specific platforms? Third, look at the entry point. A productised diagnostic with a fixed scope and price, or an open-ended discovery that bills hourly? The right partner answers cleanly on all three. SeidrLab's answer: senior partners do the work, we are vendor-agnostic, and the entry point is the AI Transformation Roadmap.

Every engagement is scoped against the AI Transformation Roadmap and quoted as a fixed fee before signing. No hourly billing. No surprise invoices. The shape of the engagement (Advisory retainer, Sprint, Embedded) and the price band depend on your situation: organisation size, seniority required, scope, and geography. A 30-minute discovery call is the fastest way to get a realistic number against your specific situation.

A boutique AI consultancy is a small senior team that works on AI strategy and implementation for a focused client segment, typically without offshore delivery, junior consultants, or large enterprise overhead. SeidrLab is a boutique AI consultancy for scaling businesses with 30 to 400 employees, headquartered in Australia, with a presence and historical clients across Europe, the United Kingdom, and the United States.

In most firms, consulting is the strategy work (recommendations, decks, audits) and implementation is the build work (engineering, integrations, deployment). The two are often delivered by different teams or different firms. SeidrLab integrates both. The partners who recommend an approach are the partners who build it. That is the practical difference between SeidrLab and the strategy-only or build-only alternatives.

Hire an internal AI lead when you need full-time, on-site, multi-year ownership of a function and the strategy is already clear. Hire an AI consultant when you need senior expertise faster than you can recruit it (1-2 weeks versus 3-6 months), when you want cross-functional capability rather than one person's perspective, and when the scope is bounded rather than open-ended. The hybrid path is common: use a SeidrLab Embedded engagement to build the function, then hire FTEs to maintain and scale it.

Australia is our primary market. We have a presence and historical clients across Europe, the United Kingdom, and the United States, and continue to work with international clients where the engagement is well-scoped and the time zone overlap is workable.

Yes. The AI Transformation Roadmap is built for exactly this: a four-to-five week fixed-scope engagement that ends with a board-ready deliverable you own regardless of whether you continue with SeidrLab. About half of roadmap clients continue into Advisory, Sprint, or Embedded. The other half implement internally. Both paths are fine.

Vendor-agnostic. We do not resell AI platforms. Our recommendations reflect what will work for the client, not what pays us a referral fee. If Microsoft Copilot fits your stack, we will say so. If a custom build is the right call, we will say that instead. Our incentive is to be right, not to maximise our scope.

Fractional leadership is when a senior practitioner sits inside an organisation for a defined period, functioning as part of the leadership team but on a part-time or time-bound basis. SeidrLab's Embedded mode is fractional leadership across the C-suite — CTO, CDO, COO, CFO, or technical program leadership — drawing on partners and specialists from across the team. A senior partner sits inside your organisation for three-to-twelve months, typically two-to-four days per week, with full leadership accountability during that window.

Standard NDA on every engagement. All findings remain proprietary to the client. We never share information that could identify a client without written permission. SeidrLab retains the right to use anonymised patterns and frameworks in future engagements, but no client-identifying information leaves your control.