How we work · Process

How Paput builds custom AI agents safely

See the practical process Paput uses to map workflows, build custom AI agents, and scale automation once value is proven.

Book an AI audit

Your path with Paput

Each step earns the next. Start with an audit, then stop, scale, or stay at any rung.

  • AI + security audit: map the safest workflow worth automating — prioritized opportunities, a first-pass risk map, data-boundary notes, and a recommended pilot with success metrics.
  • Pilot program: validate one workflow in production, safely — a 4–8 week build with defined success metrics, security checks, and a scale-ready design.
  • Team workshops: bring your team up to speed on safe AI use — hands-on enablement to run and extend what we build without creating new risk.
  • Retainer: keep agents healthy as you scale — ongoing improvement, monitoring, evals, and controls as you add workflows over time.

Choose the right engagement model

Three ways to work with Paput after the audit: a retainer, a workshop, or a pilot program.

  • Retainers: ongoing partnership for continuous AI development and support, billed as custom packages based on scope.
  • Workshops: focused sessions to identify AI opportunities and design practical pilots, priced by scope.
  • Pilot programs: proof-of-concept projects with clear success metrics, 4–8 weeks from kickoff to working prototype.

Retainers

Ongoing partnership for continuous AI development and support, as an ongoing monthly engagement with custom packages based on scope.

  • Monthly development hours.
  • Priority support.
  • Flexible scope.
  • Quarterly strategy reviews.
  • Dedicated team access.
  • Continuous optimization.

Workshops

Focused sessions to identify AI opportunities and design practical pilots: prep, workshop, then written deliverables, priced by scope.

  • 1–5 day engagements.
  • Hands-on workflow mapping.
  • Actionable roadmap.
  • AI readiness assessment.
  • Opportunity prioritization.
  • Implementation plan.

Pilot programs

Proof-of-concept projects with clear success metrics, 4–8 weeks from kickoff to a working prototype.

  • 4–8 week timeline.
  • Defined ROI targets.
  • Scale-ready design.
  • Low-risk validation.
  • Performance measurement.
  • Implementation roadmap.

Our process

Six steps take a workflow from mapping to production with evidence and recovery built in.

  • Map workflows and data boundaries: the business process, users, data boundaries, tools, and the actions an agent may be allowed to take.
  • Identify dependencies and permissions: model, context, connector, MCP/tool, API, and data-store dependencies, before design decisions harden into production risk.
  • Threat-model agentic failure paths: where prompts, context, connectors, memory, and workflow rules could be misused or pushed outside the intended boundary.
  • Build controlled workflows: approvals, least-privilege tool access, logging, escalation rules, and rollback paths designed in rather than bolted on later.
  • Test abuse cases before launch: prompt injection, indirect injection, connector misuse, and recovery checks before the workflow reaches customers or critical operations.
  • Ship with evidence and recovery: documentation, evidence trails, monitoring expectations, and a remediation roadmap your team can use after launch.

Principles that make AI useful

Four principles shape every engagement.

  • Transparent: you know what is happening, when, and why. No black boxes or unexplained jargon.
  • Collaborative: your team is involved at each stage so the system fits reality, not a vendor assumption.
  • Measured: every phase has clear success criteria and practical ROI checks before the next step.
  • Flexible: scope adapts as we learn, always optimizing for business outcomes.

Questions buyers ask

Who builds custom AI agents in Spain?

Paput.ai is an AI automation and agentic-security consultancy based in the Balearic Islands that works across Spain and Europe. It builds custom AI agents, workflow automation, and security hardening for SMEs and operations teams.

Do you work with businesses outside the Balearics?

Yes. Paput works remotely with businesses in the Balearics, Andalusia, the rest of Spain, and Europe, in Spanish, Catalan, and English.

Is the AI automation GDPR-compliant?

Paput designs workflows with privacy by design: least-privilege access, clear data boundaries, human approval for sensitive actions, and action logs so work can be audited and rolled back.

What should be automated first?

Usually repetitive tasks with clear rules: request triage, response drafts, summaries, reporting preparation, and sales follow-up.

Can AI act without approval?

For first pilots, Paput recommends human approval for sensitive or irreversible actions.

Does this work for small teams?

Yes. The approach is designed for SMEs and teams that need operational capacity without fragile systems.

AI operator field notes

illmethinks.io publishes source-transparent notes on AI agents, tools, and operational risk monitored by Paput.ai.