What We Do / AI
AI solutionsOrganizations are scaling AI faster than they can govern it. Infrastructure gets bought under pressure before success is defined, and unsanctioned AI is already running in most businesses. MALA helps you decide what to build, buy and govern, with no platform to sell.
Idle GPUs burning budget, or production starved for capacity.
Unsanctioned tools inside licensed software and browsers.
Production AI without model risk, lineage or access controls.
Contracts that let vendors train on your data.
Find the AI already in use, sanctioned or not.
Separate training, fine-tuning and inference needs.
Build vs. buy vs. cloud vs. sovereign.
Align to NIST AI RMF, the EU AI Act and sector rules.
Phase the roadmap with cost checkpoints.
Use cases prioritized against business value and readiness.
Capacity and platform matched to real workloads.
Model risk, data lineage and access controls.
Inventory, data access mapping and remediation by exposure.
Data, model, compute and operational control evaluated.
Automation and AI agents with managed identities.
Agents and machine identities need access governance too: they now vastly outnumber human users.
Our services are sponsored through strategic referral agreements with 330+ technology solutions providers, never billed to you.
Usually with an inventory of the AI already in use, then a strategy that fits your data and risk.
Control over where data sits, who hosts the model, whose compute it runs on and what happens if the vendor relationship ends.
Pilot infrastructure rarely scales economically or operationally.
No. Recommendations are unbiased, and MALA is paid by the vendor only if you move forward.
Talk with a senior advisor about AI strategy, governance or infrastructure. No obligation, no cost to you regardless of outcome.
Vendor-sponsored: MALA is paid by the vendor only if you move forward with a recommended vendor. No obligation to do so.