BY WISELINK · PROCESS-DRIVEN AI DELIVERY

The AI engineering team that ships — continuously.

From a plain-English request to a tested, deployed feature. A full software delivery organization — spec, build, review, security, tests, deploy — run by AI agents, with humans kept at the two decisions that matter.

  • Process-first delivery from request to production
  • Independent review, security, and test gates on every change
  • Human-approved production deploys

10

SDLC roles automated end-to-end

95%

acceptance-criteria bar before anything ships

3×

features in parallel, isolated workstreams

2

human decisions kept in the loop

NOT A CODING ASSISTANT — A TEAM

Every role on a delivery team, played by an agent.

Separation of duties, encoded. The agent that writes the code is never the one that reviews it, audits it for security, or decides it's done.

Spec & architecture

Turns a plain-English ask into a structured spec with checkable acceptance criteria — informed by your actual codebase. Pauses for your sign-off.

Build & review

Implements against the spec in your style, then an independent agent reviews every diff like a strict senior engineer — logic, edge cases, conventions.

Security & audit

Runs unconditionally on every change — auth gaps, data-isolation leaks, injection risks — the cheapest bug to prevent, the most expensive to ship.

Test & end-to-end

Writes unit and integration tests, then stands up the real app and drives it through a browser — exactly the way a human QA engineer validates a release.

Adversarial bug-hunt

A final independent pass looking for what the other gates don't prove absent: race conditions, abandoned state, boundary bugs, silent regressions.

Deploy — on your word

Pre-flight checks, a stated plan, and a deliberate stop. Deploy is a confirmed human action, never a side-effect of the tests passing.

OBSERVE · REASON · ACT — CONTINUOUSLY

One pipeline, from request to production.

  1. PLAN

    Spec & sign-off

    Code-aware spec, human-approved.

  2. BUILD

    Implement

    Against spec, in your style.

  3. VERIFY

    Review · security · tests

    Three independent gates.

  4. RISK

    Bug-hunt + E2E

    Adversarial final pass.

  5. SHIP

    Human-approved deploy

    Your call, then live.

SECURITY

Security is how delivery works, not a checkbox on top of it.

Every claim below maps to a mechanism you can point at — instance isolation, token scope, and a filter that runs on every diff before it reaches your repo.

Instance-per-client isolation

Every client runs on a dedicated, single-tenant instance — its own container, its own database, its own configuration file. No shared infrastructure, no cross-client data path.

Delivery only via Pull Requests

Every change lands as a Pull Request in your own repo — never a direct push to your main branch, never an auto-merge. You keep the merge button.

ip-guard on every diff

Before anything is pushed, a dedicated filter scans the full diff being delivered and blocks it if it finds our own tooling files or the value of your repo access token in the content.

Minimal, fine-grained GitHub token

We require a fine-grained Personal Access Token scoped to Contents (read/write) and Pull requests (read/write) on a single repository — nothing broader, no org-wide or account-wide access requested.

Human-attributed approval decisions

Approval decisions are never auto-decided by code — each one is an explicit human action, recorded with a timestamped approval event.

Redacted logs everywhere

Git errors and PR bodies pass through a redaction filter before they're logged or posted — your repo token is replaced with a placeholder before it can appear anywhere.

Where your code and data actually live

Your code stays in your repo. Every change we make is delivered as a Pull Request into the repository you already own — we never move your code into a shared platform. Any working checkout lives only inside your own isolated instance, never on shared infrastructure.

One isolated instance per client. Each client runs on its own dedicated instance, with its own database and its own telemetry. There is no cross-client data path.

EU-based operation. Wizeri is built and operated by Wiselink SRL, a Romanian company based in Cluj-Napoca.

For how we handle personal data on this website, see our privacy policy.

HOW WE START

From a scoped token to Pull Requests in your repo.

Nothing to install, nothing to run on your side. One minimal grant of access, and the rest is ours to operate.

  1. You create a fine-grained GitHub token

    Scoped to a single repository, with exactly two permissions: Contents (read/write) and Pull requests (read/write). It grants no access to Issues, Actions, or Settings — and you can revoke it at any time.

  2. We provision your dedicated instance

    A single-tenant instance goes live for your project — its own container, its own database, its own configuration.

  3. Agreed specs are implemented

    They arrive as Pull Requests in your repo — never a direct push to your main branch, never an auto-merge.

  4. You review and merge

    The deploy decision stays yours — every change waits for your review and your merge button.

  5. You follow it live in your Command Centre

    Runs, specs, and budget — all visible as they happen, not after the fact.

PROOF

Real client, real delivery — hear it from them.

Wiselink, the team behind Wizeri, already runs this process for clients today. Here's one of them, in their own words.

“They didn't just take orders — they came back with real solution options and let us pick the direction.”

“Communication was easy the whole way through: fast replies, clear updates, nothing left for us to chase.”

“What we got was clearly worth more than we paid for it.”

— Transitionstudio, adapted from their wiselink.ro testimonial

More from wiselink.ro

  • Platform rescue →

    How Wiselink took a fragile platform to production-grade: Dockerized infrastructure, automated CI/CD and QA gates, and validated high-concurrency behavior.

  • All use cases →

    More client case studies from Wiselink's delivery work.

10+ projects shipped with our delivery framework

  • .NET
  • Python
  • React
  • C++
  • Node.js
  • Terraform

The delivery framework is language- and stack-agnostic — it runs on whatever your codebase already uses.

GROWTH & ENTERPRISE MODULE

Codebase Audit — turn an existing codebase into a ready backlog.

Point it at a repo you already have. It comes back with a prioritized, loop-ready backlog — nothing runs until you approve it.

Multi-dimension discovery

Independent agents scan the existing codebase across security, architecture, test coverage, duplication, and more — each dimension audited in parallel, not one generic pass.

Prioritized findings

Results are normalized and ranked into a single findings report — signal over noise, so the highest-impact issues surface first.

Loop-ready specs, human-approved

Findings are triaged into draft specs the delivery loop can build from directly. You approve the backlog before anything runs.

PRICING

Sized for how you actually ship.

Every tier keeps a human at the merge gate. Talk to us for a plan that matches your estate.

Starter

Talk to us

  • 1 repository
  • Capped agent loops / month
  • Mandatory human merge gate
Book a demo

Clear the backlog. Keep shipping.

See how an AI delivery team handles the repetitive 80% of shipping software — while your judgment stays on what matters.

Book a demo →

No estate too small · Structured delivery by Wiselink SRL, Cluj-Napoca