AI Agents
Autonomous agents that triage support, qualify leads, run research, and make multi-step decisions using your tools and knowledge.
We design and ship AI agents, automation workflows, and custom scripts that take repetitive work off your team — so you scale output without scaling headcount.
Capability examples · not client logos or endorsements
This interactive model mirrors the lead-to-meeting workflow running on this site: secure intake, AI-assisted qualification, mandatory human review, and a protected appointment link.
Synthetic telemetry · no client result is represented
Lead submits the secure audit form
Gemini structures the opportunity
A person reviews before anything sends
A secure appointment link reaches the lead
No bloated SaaS you'll half-use. We build the exact systems your business needs and own the messy integration parts.
Explore AI automation services →Autonomous agents that triage support, qualify leads, run research, and make multi-step decisions using your tools and knowledge.
Work moves between your apps on its own — triggers, approvals, routing, and hand-offs with no copy-paste in between.
Purpose-built scripts for the jobs no off-the-shelf tool covers: scraping, cleanup, migrations, and scheduled batch runs.
Custom connectors, webhooks, and middleware that keep data flowing reliably across every system in your stack.
Private, cited answers over your own docs, contracts, and wikis — onboarding, SOPs, and support that never sleeps.
We watch, tune, and expand what's running — error alerting, cost control, and a quarterly automation roadmap.
An illustrative gallery of common workflow patterns — from the first trigger to the final hand-off. These are capability examples, not customer deployments.
Three modeled workflows that show how an automation could be designed. They are planning examples, not client work, testimonials or verified results.
The free review clarifies the bottleneck and whether discovery is useful. Its output depends on the automation; it may be a request for context, a next-step recommendation, or an invitation to map the workflow.
The agent or flow, its success metric, a fixed price, and a timeline — written down before any code is written.
Built against your real data and shipped into your stack. You review at every milestone and sign off before go-live.
We track hours reclaimed and ROI, then move to the next bottleneck. Your automation footprint compounds.
Drag the sliders. This is the back-of-envelope math we refine in your free audit.
Start small and prove the ROI, or go all-in on transforming operations. Every plan opens with a free audit. Net and Romanian VAT-inclusive starting prices are shown together.
One painful, well-defined task — automated end to end.
€1,694 incl. 21% VAT
A dedicated engineer automating across your org.
€3,872 incl. 21% VAT
Romanian VAT is currently 21% where applicable. Final tax treatment depends on customer location and VAT status; third-party costs are quoted separately.
We map the current workflow, its exceptions, the systems involved, and the result that would make an automation worthwhile.
High-impact actions keep a named human approval point, with clear fallbacks when confidence or an integration fails.
The proposal defines deliverables, integrations, risks, price, estimate, and timeline for that specific automation before development begins.
The working model is designed around written scope, visible control points, and evidence collected from the workflow itself.
The proposal states which code, prompts, documentation, and infrastructure transfer to you and which third-party licences remain.
We agree useful success indicators before implementation instead of presenting modelled ROI as a guaranteed result.
The design includes testing, observable failures, documentation, and handover appropriate to the workflow's risk.
Access, data location, retention, subprocessors, and any NDA or DPA are agreed before sensitive access is granted.
Deliverables, assumptions, responsibilities, acceptance criteria, price, and estimate are written before development.
A small integration and a multi-system agent do not share a deadline. Discovery produces the estimate and delivery milestones.
No. You bring the business problem; we handle the design, build, and deployment, then document everything in plain language so your team can follow what's running.
We're tool-agnostic — major LLM providers, automation platforms like Make and n8n, and virtually any app with an API: CRMs, email, databases, Slack, spreadsheets, and internal tools.
Controls depend on the data and systems involved. Before sensitive access, we document least privilege, data location, retention, providers, and any required NDA or data-processing agreement.
The timeline depends on integrations, data quality, exceptions, testing, and approvals. Discovery leads to a written estimate and milestones for that specific automation.
Fallbacks, monitoring, alerting, recovery, and the support period are defined for the workflow according to its impact and agreed in the proposal.
The proposal identifies what transfers to you and any third-party components that remain under their own licences, so ownership is clear before development.
Tell us about the bottleneck. We first review fit and missing context. If it makes sense, discovery maps the workflow; any proposal then defines the deliverables, integrations, risks, estimate, and timeline for that specific automation.