What's broken today
Bots that break at the slightest change
Your current RPA depends on brittle selectors. Someone moves a button in your ERP or on the bank portal and every flow needs maintenance.
Nobody owns the whole process
Every bot was bought or built by someone different. When one fails, nobody answers for the outcome and there is no evidence of what actually ran.
Processes that need judgment, not just automation
The bot pulls the data, drops it into Excel and… that's where it ends. The decision part is still manual because traditional RPA can't reason.
How we build Next-gen AI-powered RPA
RPA audit
We map your existing bots, their failure points, cost per process and where it makes sense to fuse them with AI.
Hybrid design
We design an RPA + LLM architecture: robust selectors, reasoning where it applies, and escalation to a person when a threshold is crossed.
Progressive migration
We run in parallel with your current RPA.
More
We run in parallel with your current RPA. We migrate bot by bot, validating metrics before retiring the legacy one.
Operation
Maintenance included, continuous observability, and adjustments to upstream changes without breaking production.
What it's built on
Playwright, Puppeteer, Robot Framework. Selectors anchored to structure, not brittle XPath.
AI models to read documents and forms and support decisions where they apply.
Corporate and local ERPs, CRMs, SAT (Mexico's tax authority), bank portals.
Per-bot metrics: runs, errors, time, cost. Real-time alerts.
Who Next-gen AI-powered RPA is for — and who it isn't
✓ Who it's for
- Companies with bots that keep failing and want one owner for the process, end to end
- Web/desktop processes with interfaces that change over time
- Teams that need RPA + decision-making in a single flow
- Regulated operations that require an audit log and traceability
✕ Who it's NOT for
- Processes that run only a few times a month — the migration doesn't pay off
- Fully closed legacy systems with no API or accessible UI
- Companies with no internal team to validate migration results
FAQ · Next-gen AI-powered RPA
How much does Next-gen AI-powered RPA with Studio cost?
It depends on scope and on the integrations with your current stack (RPA core, AI layer, Integrations, Observability). We don't publish list prices: implementation and monthly operation are quoted after the Studio diagnostic, which is free and gives you a range tailored to your case.
How long does it take to get Next-gen AI-powered RPA into production?
It depends on the number of integrations and on operational complexity. We work in stages — design, build, testing with real data and team training, then a controlled production launch — and we agree on the timeline with you once scope is locked.
How is Studio different from a traditional consultancy?
Studio builds, hands it over running and keeps it alive. We don't sell hours or never-ending pilots: we operate the outcome. Every project ships with guardrails, an audit log and observability dashboards already live. The stabilization phase is included.
Do I have to replace my current stack (RPA core)?
No. Next-gen AI-powered RPA plugs into what you already have through official APIs or native webhooks. If we find a tool that caps the project's upside, we'll tell you straight, but we never require a migration as a prerequisite.
What does this mean in business metrics?
Every Studio implementation ships with operational metrics on a dashboard: time saved per process, error rate, unit cost and equivalent FTE capacity freed up. They're calibrated against your own baseline at kickoff and reported weekly during stabilization.
Is it locked into a single AI vendor?
No. We work with models from several providers and pick the right one for each task.
Who answers for your automated processes today?
A Studio diagnostic, at no cost, to map which processes are worth running end to end.
No cost · No commitment