AI Readiness Assessment
A 2β4 week structured audit of your data estate, infrastructure, security posture and team skills β scored against what your target use cases actually require.
Most enterprises don't fail at AI because the models are bad β they fail because they picked the wrong use cases, underestimated infrastructure costs, or built what they should have bought. Our advisory practice exists to prevent exactly that.
A 2β4 week structured audit of your data estate, infrastructure, security posture and team skills β scored against what your target use cases actually require.
Workshops with your business units to surface AI opportunities, then a ruthless filter: feasibility, data availability, ROI and time-to-value. You leave with a ranked backlog.
Token-level cost models, infrastructure TCO comparisons (cloud vs on-prem vs hybrid) and payback projections β numbers your CFO can interrogate.
Commercial APIs, open-weight models, or your own fine-tunes? We benchmark the options against your actual workload and data sensitivity before you commit.
Independent guidance on GPU selection, cloud vs neocloud vs colocation, and vendor negotiations. We don't resell hardware β our only incentive is your outcome.
A phased 12β24 month roadmap with architecture milestones, hiring plan, governance checkpoints and budget gates β designed to be executed, not framed.
Our strategy clients are typically CIOs, CTOs and heads of engineering who face one of three moments: a board mandate to "do AI", a cloud AI bill growing faster than its value, or a data-sensitivity wall that blocks public AI services.
Because OPLEXUS also designs and deploys AI infrastructure, our strategy work is grounded in what deployment really costs and how long it really takes.
Book a free 30-minute call. We'll ask hard questions, give honest answers, and tell you whether a readiness assessment even makes sense for you yet.
Book a Free Strategy Call