The largest consulting and technology firms have spent billions defining what good AI adoption looks like: strong governance, disciplined cost control, redesigned workflows, and a trained workforce. We deliver the same four disciplines, scaled to organizations that can't justify a top-tier consultancy's day rate. Strategy and engineers in the same room, so advice you can act on turns into systems that actually run.
Industry research is consistent on why AI projects stall: weak governance, runaway costs, workflows no one redesigned, and teams who were never trained. Industry research consistently finds that only a small minority of companies have a mature model for governing autonomous AI. We close those exact gaps — with senior advisors and the engineers who implement the fix on the same team.
The firms that get the most from AI put senior leaders — not just IT — in charge of oversight. We build practical policies, approval gates, and audit trails aligned to standards like ISO/IEC 42001, NIST, and the EU AI Act, so oversight is everyone's job, not a shadow function.
Per-token pricing is great for prototypes and brutal at scale. We bring cloud-style FinOps to your AI: right-sizing models, cutting token waste, choosing when to move to dedicated capacity, and tying every dollar of AI spend to a measurable outcome.
A widely-cited rule of thumb among industry analysts puts most of AI's value in changing how work happens, not the models themselves. We redesign the process first, then automate it — so you get real productivity gains instead of a chatbot bolted onto a broken workflow.
Insufficient skills is consistently cited as the number-one barrier to AI adoption in enterprise surveys. Every engagement includes role-specific training and change management, so your people trust the tools and actually use them once we're gone.
AI governance, FinOps, workflow automation, and training. Most clients start with one and expand as the value compounds.
The trust layer that lets you scale AI safely. We stand up the policies, controls, and oversight structures that regulators and boards now expect — the same discipline the leading professional services firms built their AI practices around.
Stop AI spend from spiraling. We bring financial discipline to model usage — measuring cost per outcome, eliminating waste, and deciding when owned infrastructure beats pay-per-token pricing.
Where the real productivity lives. We map how work actually flows, redesign the process, and automate the repetitive, multi-step tasks with AI agents connected to the systems you already run.
The step most rollouts skip — and the reason they fail. We upskill your workforce with role-specific, hands-on training and the change management that turns reluctant users into confident ones.
The shape mirrors how the top firms run AI transformations — assess, govern, redesign, deploy, sustain — compressed into weeks and priced for the real world.
Two focused weeks reviewing your data, tools, workflows, and risk posture. You get an honest inventory of where you stand and a prioritized list of where AI creates real value first.
Before anything scales, we put the oversight in place: policies, approval gates, and audit trails aligned to the standards your industry and regulators expect.
We redesign the highest-value process, then build a four-to-six week pilot on real data with real users — and a FinOps model showing exactly what it costs and returns.
The pilot goes into production with monitoring, documentation, and role-specific training. Adoption is measured, not assumed.
Optional quarterly reviews to tune costs, tighten governance, and expand to the next workflow. The value compounds as more of the organization comes online.
Galatine Technologies' AI consulting covers four disciplines the largest firms built their practices around: AI governance and risk, AI FinOps and cost strategy, workflow optimization and automation, and AI training and enablement. We pair senior advisors with in-house engineers so recommendations and implementation come from the same team.
AI governance is the set of policies, approval gates, and audit trails that let an organization use AI safely and prove it to regulators and boards. Galatine Technologies builds governance aligned to standards like ISO/IEC 42001, the NIST AI Risk Management Framework, and the EU AI Act. Research shows companies whose senior leaders own AI governance capture more value than those that leave it to technical teams alone.
AI FinOps applies cloud-style financial discipline to AI spending: measuring cost per outcome, right-sizing models to each use case, cutting token waste, and deciding when dedicated infrastructure is cheaper than pay-per-token pricing. It keeps AI costs predictable as usage scales.
Tell us where AI feels stuck — runaway costs, governance worries, a pilot that never scaled, or a team that won't adopt it. Within two business days we'll give you an honest read and what an engagement would look like.