Automation with agents — and with brakes

We don’t sell generic macros. We design orchestrations and agents with roles, tools and guardrails: they automate the repeatable and fail closed when the path touches compliance, money or sensitive data.

What we actually automate

• Agents with lanes and guardsSeparated roles (explore, implement, verify). The agent doesn’t invent scope: it works inside a written contract and leaves an auditable trail.
• System-to-system orchestrationAPIs, queues, CI/CD, ops panels and sync across internal tools — the glue that removes manual handoffs between teams.
• Harnesses and automated regressionTest benches, simulators and conformance suites: a fix wave is rejected and reverted if it breaks the contract (pattern used in payment certification campaigns).
• Legacy → modern without losing the threadC++/JNI → Kotlin migrations, Perl/C → modern stacks, or paper processes → fiscal SaaS (Veri*Factu): automate by modernising, not blind patching.
• Ops and multi-app fleetsDeploys, health checks, backups and process control across Next.js/PM2/Docker fleets — operations automation, not just demos.
• Tool surfaces for agents (MCP)Scoped tool access so an agent can read logs, run lab scenarios or prepare evidence — without open access to secrets.

From idea to agentic flow

1. 1. Map and risksCurrent process, bottlenecks, and where an agent helps vs. where human fail-closed ownership is required.
2. 2. Contracts and metricsLanes, guards, allowed tools and measurable acceptance criteria (time, errors, cost, traces).
3. 3. Pilot with gatesScoped implementation + regression gates. If a gate fails, we revert — we don’t ship and hope.
4. 4. Operate and improveMonitoring, runbooks and scope expansion only via an explicit contract change.