AI automation for your operation

Applied AI to save time and reduce friction in your business

I spot repetitive tasks, connect your systems, and automate them with control and traceability. Measurable results, no hype.

  • Safe automations with approvals, logs, and error handling.
  • Integration with CRM, email, ERP, spreadsheets, WhatsApp, and more.
  • Prioritization by real impact: less rework and better response time.
See the process Reply within 24-48h by email

Where can it be applied?

Leads and sales: capture, enrichment, assignment, and follow-up.

Operations: orders, tickets, reconciliations, and automatic statuses.

Admin: invoices, collections, reports, and alerts.

Customer support: classification, guided replies, and escalation with context.

Benefits for the business

Fewer manual tasks and fewer copy-paste errors.

More consistent response times.

Visibility with dashboards and traceability of every run.

Operational scale without doubling the team's workload.

Standardized processes with managed exceptions.

Smart use of data, with clear rules and AI where it adds value.

What I deliver

  • Process mapping and quick-win detection.
  • Workflow design with rules, prompts, and validations.
  • Integrations via API/webhooks and low-code tools when it fits.
  • Automations with human approval when applicable.
  • Monitoring, alerts, and operational documentation.
  • Basic training and handover to the team.

AI isn't magic: it works best with clear processes and accessible data. If something isn't worth automating, I propose an alternative.

Process

  1. 1) Diagnosis

    I understand the operation, measure friction, and prioritize high-impact automations.

  2. 2) Design

    I model rules, integrations, validations, and approval points.

  3. 3) Implementation

    I build and test with real cases, with monitoring ready for production.

  4. 4) Continuous improvement

    I tune with data: quality, timing, exceptions, and new opportunities.

Trust signals

  • A focus on control: permissions, auditing, and role-based access.
  • Clear deliverables with documentation and defined ownership.
  • Incremental rollout: the highest-impact items first.

Frequently asked questions

Which tasks can be automated?

Repetitive rule-based tasks and part of the judgment-based ones when there is a well-defined process and data.

Do I need to change my current systems?

Not necessarily. I integrate with your current stack and only propose changes when they unlock value.

How do you reduce AI errors?

With validations, limits, sources of truth, and human approvals where appropriate.

How soon do you see impact?

I usually start with quick wins in a few weeks and then we scale in stages.

What happens if an automation fails?

It's monitored, logged, and a fallback runs: retry, alert, or manual handoff.

Let's start with an automation that pays for itself

  • You get 3 quick wins prioritized by impact and effort.
  • An implementation plan with milestones, owners, and metrics.
  • A focus on measurable results, no inflated promises.
Monday to Friday, email reply within 24-48h