Audit before automation
We map volume, risk, cost and owners before connecting AI.
We identify repetitive work and design business process automation connected to CRM, ERP, email, WhatsApp, forms or dashboards. We use AI where it improves classification, summaries or decisions, and deterministic rules where reliability matters more.
We map volume, risk, cost and owners before connecting AI.
We use AI to classify, summarize or recommend; we use rules when AI is not needed.
Critical workflows remain traceable, reviewable and approval-based when needed.
CRM · ERP · API · AI
The goal is not having a bot. The goal is reducing repetitive tasks, errors and dead time in sales, support, administration or delivery.
REAL QUESTIONS
Lead classification, message summaries, initial support, form analysis, CRM tasks, ERP updates, reports and repetitive workflows with human review.
No. Sensitive workflows are designed with rules, context, traceability and human approval where needed.
Through APIs, webhooks, CRM, email, spreadsheets, WhatsApp or other tools already used by the operation.
Start by mapping repetitive tasks, available data, risks and owners. Then automate small workflows with measurement, human review and connections to the CRM, ERP or tools already in use.
The best AI depends on the workflow. Some tasks need a language model; others work better with deterministic automation and no AI. The right choice comes from auditing data, risk, cost and volume.
They combine deterministic rules, integrations and AI models to move data, classify information, summarize, support decisions or execute tasks with defined controls and traceability.
Business process automation turns repetitive work across people and systems into defined, measurable workflows. It can connect APIs, CRM, ERP and AI while keeping owners, exceptions and approvals visible.
Cost depends on volume, connected systems, data quality and operational risk. We estimate the current process cost first and automate only when savings or improvements can be measured.
Automating without mapping the process, using AI where deterministic rules are enough, skipping data validation, removing human review, not measuring savings and building bots that create more work.
It should support the team. In serious workflows, AI classifies, summarizes or proposes; sensitive decisions keep traceability, rules and human review.