Automation & AI Agents
Agents that nail a demo and never touch a real business process. We don't start by building software: we start from the same diagnosis and architecture we govern in Intelligence Lab, and only when the right solution genuinely doesn't exist in the market do we build it custom — integrated into that same architecture, not as a standalone build.
Automation measured against the real process, not the demo.
Process automation
Complete workflows, not loose tasks — from the trigger to the outcome the business actually needs.
Agents by CIRA phase
Agents specialized in diagnosis, vendor evaluation, risk monitoring, and adoption measurement — each with a clear owner and purpose.
Impact measurement
Every agent is measured against the real process it replaces or accelerates, not against a demo — time, error rate, and team adoption.
We're not a software factory, and we won't propose building something that already exists in the market. The same agnostic diagnosis we use to select an ERP or CRM is what we apply here: we first evaluate whether the right solution already exists.
When it genuinely doesn't, we know how to build it: process automations and specialized AI agents for tasks within each phase of the CIRA method — diagnosis, vendor evaluation, risk monitoring, adoption measurement — integrated into the enterprise AI architecture we already govern, so it doesn't become one more ownerless tool.
Preguntas frecuentes
No. We're digital transformation consultants, not a development house. We first evaluate whether the right solution already exists in the market — as we do in CIRA's Solution Selection phase. We only build when that option genuinely doesn't exist.
We design every agent around a specific business process, not as a generic layer on top of everything else.
We prioritize with the same diagnosis we use in CIRA's Construct phase — real impact, not the flashiest task to automate.
We work alongside your technical team, not in place of them. The automation gets integrated into the architecture and AI governance we've already defined, so your team can maintain it.
Every automation is measured against the process it replaces: time saved, error rate, and real adoption by the team — not the polish of a demo.
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