Company
One accountable delivery team.
When you hire Gradion, the people on the call are the people who scope, build, secure and deploy the first workflow. No account managers. No subcontracted delivery. No handoff between sales and engineering.
Why that reduces delivery risk
0 handoffs
between sales, delivery and engineering
1 team
covering workflow design, build, security and rollout
Legal and document-heavy workflows fail on exceptions, approvals and compliance constraints. When delivery is split across strategy, engineering and security teams, the gaps show up quickly.
We combine AI engineering, cloud architecture, security and rollout in one team so the first system ships fast and survives real use.
Compared with the alternatives
Why firms choose Gradion instead of the usual options.
Internal build
You can build this in-house. But only if you want to staff AI engineering, cloud infrastructure, security, workflow design, testing and rollout. We compress all of that into a first operational workflow when the case fits a 10-business-day pilot.
Generic AI consultants
Most sell workshops, strategy decks and demos. We sell one live workflow, on your documents, measured against your current process.
SaaS tools
SaaS works when your process matches the product. Most document-heavy legal and admin workflows break on exceptions, approvals and local rules. We configure around your process instead.
Why firms trust the first build
Direct founder delivery
The people who scope the workflow are the same people who build and deploy it. That keeps the sales story and the system behaviour aligned.
Security and compliance built in
Infrastructure, provider terms, DPA, isolation and auditability are handled as part of delivery, not left for a later phase.
Human review where it matters
Sensitive outputs, low-confidence cases and approval steps stay under human control unless explicit rules say otherwise.
Who you work with
No account managers. No handoffs. The people on the call are the people who build.
Ivor Padilla
Co-Founder and Engineering Director
17 years building production software across Envato, dotCMS and G2i. Based in Madrid, bilingual in Spanish and English. Law degree from Universidad de Falcón, Venezuela.
Full-stack and AI engineering. TypeScript, Python, cloud infrastructure. Ships end-to-end: from model integration to the interface your team actually uses.
When we are the right fit
Five signals the pilot usually makes sense.
You have one workflow that is repetitive enough to scope.
The pilot works best when the bottleneck is clear: intake, extraction, drafting support, status replies or deadline tracking.
You already know where time or errors accumulate.
We do not need a transformation programme. We need access to the current workflow, the tools involved and the success criteria.
You want a first live system before discussing a wider rollout.
We start with one workflow, one scope and one measured result. No enterprise rollout theatre.
Sensitive work must stay reviewed.
Low-confidence items and legally sensitive outputs go to review, not straight through automation, unless explicit rules say otherwise.
You need the provider and data-handling story documented.
EU-hosted environment, DPA before live data, subprocessors documented, and provider terms checked against the pilot design.
Tell us where the work gets stuck today
We will see whether there is a first case worth doing.
Tell us where the workflow slows down today. We will tell you whether there is enough operational friction to start with a first case and which part should stay under review.
Prefer email? Request scope and conditions.