Stručnost / Izbliza
AI agenti i automatizacija
Produkcijski AI i agenti po mjeri vašeg rada — s čovjekom u svakoj važnoj petlji.
Prilika
Učini sljedeći korak
boljim korakom.
Teams lose hours moving information between tools, cleaning catalogues, assembling research and repeating checks. Most agent projects fail on scope, data and unclear approval — not on the model. We start from one real task, prototype on sample data and keep every consequential decision human.
We scope one task and its source of truth first, then define permissions, review points, evaluation checks and recovery states before any model is connected. Tool and API integrations (including MCP-style tool access) are layered in with least privilege, and output is tested against edge cases with guardrails and audit trails.
- Suradnja
- Imenovani voditelj isporuke + tim
- Rokovi
- Discovery + prototype in 2–4 weeks; rollout scoped after
Što isporučujemo
Fokus na ispravno.
- Task, input and approval mapping
- Tool + API integrations with scoped, least-privilege permissions
- Review-first agent interfaces and audit trails
- Agent evaluation, guardrails and recovery states
Što nosiš
Nešto čime se može upravljati.
- Workflow map with scope, permissions and review points
- Working prototype on sample data
- Review, approval and audit interfaces
- Evaluation plan, integration, docs and support handover
Istraži interakciju
Gledaj kako se tijek otvara.
Radni demo sučelja s oglednim podacima. Odaberi zadatak, prati napredak i pregledaj predloženi rezultat.
See the system
think in steps.
Choose a workflow, inspect the sample input and review the proposed output. You make the final call.
Find inconsistencies in a small sample product catalogue.
Product: Wireless headphones · Category: Audio · Compatibility: missing · Related products use the Headphones category.
- 01Inspect sample product fields
- 02Compare naming and categories
- 03Prepare suggested corrections
Your review workspace.
Run the example to reveal the proposed changes.
This browser simulation demonstrates the workflow and interface. Its sample responses are predefined; it does not call an AI model, access a store or publish changes.
Prije početka
Malo jasnoće
vodi daleko.
01Što trebate od nas za početak?
Kratak opis problema, poveznicu na trenutnu stranicu ili alat ako postoji, i kako bi izgledao koristan rezultat. Gotova specifikacija ne treba. Pristup, DPA/NDA i sadržaj dogovaramo čim je opseg jasan.
02Radite li s postojećim?
Da. Krećemo od vaše postave i ograničenja. Usredotočeno poboljšanje ili integracija često pobjeđuje preuređenje — opcije i kompromise objašnjavamo, s cijenama, prije obveze.
03Kako se dogovaraju trošak, rokovi i SLA?
Nakon otkrivanja — jasan prijedlog: isporuke, miljokazi, raspored, podrška i uvjeti SLA. Start potpisom; svaka promjena se prije dodatnog rada pismeno redefinira.
Povezana stručnost