The problem is never the AI. The problem is the absence of an operational foundation that lets AI function with real context. maic builds that foundation — then deploys the AI.
Most companies in emerging markets operate partially on Excel, email, and WhatsApp. Before you can mine a process, you need the data to exist. We digitalize critical workflows — not as a full ERP rollout, but as the minimum operational data layer that enables what comes next.
We connect to your systems and extract the event log history — every timestamp, every approval, every handoff. Algorithms reconstruct the real process: not how you think it runs, but how it actually runs. Variants, loops, bypasses, bottlenecks — all quantified.
With the process understood, AI finally has the operational context it needs to be useful. We deploy agents, copilots, automated workflows, and decision engines directly into the corrected process. ROI is measured before vs. after. Then we scale.
We combine the two most powerful approaches in enterprise operations — process intelligence and AI execution — built for companies that enterprise vendors never reach.
Generic AI fails because it has no operational context. Our AI layer is deployed on top of a mined and modeled process — which means every agent, alert, and decision engine understands the actual business logic, not a hallucinated version of it.
High-volume processes with frequent friction, visible economic impact, and clear AI intervention potential.
maic builds that future — process by process. We start where you are: digitalize what's missing, mine what exists, deploy AI that knows your operation. First results in 90 days.