AI process automation, wired into what you already use
We integrate AI into your ERP, CRM, and internal operations with production integration patterns — validation, idempotency, and human fallback. We don't build AI chatbots: we do engineering.
The problem we solve
Every mature company accumulates repetitive work that nobody enjoys: entering an order into two systems that do not talk to each other, syncing SKUs across distributors, classifying and routing documents, reconciling data between ERP and CRM, issuing an invoice from a sale event. This work is expensive, error-prone, and grows with the operation.
The temptation is to solve it with a generic no-code platform — which works until it hits the real business rule or the legacy system with no ready-made connector. Useful automation is the kind that understands your process and talks to your systems with production-grade reliability, not the kind that forces your process to fit a template and breaks silently on the first edge case.
How we work
We start by mapping the processes with the highest human cost and the points where systems need to talk. The AI comes wrapped in deterministic rules: it classifies, extracts, or decides, but every action goes through output validation before it takes effect. We integrate via API, webhook, or events into the systems you already use — ERP, CRM, message queues — without requiring a platform change.
Reliability comes from engineering, not luck. Operations are idempotent so reprocessing never duplicates an effect; we use message queues (RabbitMQ) to decouple and absorb spikes; batch processing runs resilient to partial failure. That is how we built the CRM for a solar-energy company — a real-time pricing engine, SKU sync across distributors, and ERP invoice integration, all coordinated through queues — and the batch-processing pipeline for a European retail SaaS.
Every automated action has an audit trail, and exceptions are escalated for human review. The criterion is the same as for our verifiable agents: reliable and observable before clever.
What we deliver
Automated workflows in production, integrated with your ERP and CRM, with idempotency, an audit trail, observability, and human fallback. Documentation that lets your team adjust rules without depending on us.
Tell us the case at /en/contact and we respond with feasibility within 24 business hours.
- Mapping the repetitive processes with the highest human cost and their integration points
- Integration with ERP, CRM, and message queues via API, webhook, or events
- AI wrapped in deterministic rules, output validation, and idempotency
- Full audit trail for every automated action
- Human fallback for exceptions and uncertainty
- Observability wired in: metrics, logs, and alerts from day one
Investment ranges
Micro Project
PoC, institutional site, WhatsApp and small chatbots. Non-regulated sector, or your first AI project.
$8,000 – $20,000
- Delivery in weeks
- RAG + light harness
Small Project
Well-defined scope: targeted automation, lean MVP, focused integration.
$20,000 – $70,000
- Fixed scope
- Delivery in weeks
Medium Project
RAG chatbot, enterprise AI agent, SaaS MVP, performance execution.
$70,000 – $220,000
- Dedicated architecture
- Integrations
Large Project
Legacy modernization, system rewrite, multi-phase transformation.
From $230,000
- Multiple phases
- Dedicated team
Qualitative ranges. The exact figure comes out of Discovery, and is 100% credited toward the project.
FAQ
Does the automation replace my ERP or CRM?
No. The automation integrates with what you already use — Totvs, SAP, Salesforce, in-house systems — via API, webhook, or events. The goal is to remove manual work around those systems, not replace them.
How do you ensure the automation does not make mistakes in production?
The AI is wrapped in deterministic rules and output validation, and every operation is idempotent — reprocessing does not duplicate an effect. Every action has an audit trail, and any exception is escalated for human review before it has an irreversible effect.
Is this just a no-code flow with AI on top?
No. A no-code flow works until it hits the real business rule or the system with no ready-made connector. We deliver code with tests, message queues for resilience, and observability — automation you audit, not a brittle black box.
Where does it start?
With Discovery: we map the highest-cost processes, identify integration points, and estimate a qualitative range. The fee is credited if the project moves forward.