Automation that runs the work. DevOps that ships it.

Two kinds of automation, one governed pipeline. AI agents and workflows that take over repetitive operations in your business, and the delivery machinery that gets every change from a commit to production the same day.

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What we automate

One governed pipeline.

Workflow automation with AI

Lead qualification, support triage, document extraction, reporting, approval flows. We build agents that read, decide and act inside the systems you already run, with a human handoff wherever the decision matters.

Delivery automation

Repositories, CI/CD, mirrored staging and production, security and quality scans on every push, monitoring and armed rollback. This is the same foundation LaunchPad installs in five days, run as a service for teams that already have a product.

Operations automation

Alerting, incident routing, scheduled jobs, data pipelines and the boring infrastructure work that otherwise lands on your senior engineers.

Proof

In production.

AI SDRKenlo LYAAn AI agent that qualifies every inbound lead for one of Brazil's largest real estate platforms, across WhatsApp Business and Meta. It answers from the client's own knowledge, books visits and hands warm prospects to human agents. Each agency configures its own agent, with no engineer in the loop. Live since 2025, delivered on the AI-native pipeline.View case study →~90% fewer defectsThe six-gate pipelineEvery line of code Wegile ships, AI-generated or not, passes a quality scan, a security scan, a named architect's review, a full staging run and a monitored deploy with rollback armed. Measured across our first nine AI-native engagements: about 90% fewer production defects and same-day fixes. See how we measure.Learn more →

How an automation engagement runs

How an automation engagement runs.

Week one: we map the workflow, name the decisions a person must keep, and cut the use cases that will not survive real users, in writing. Week two: the first agent or pipeline runs against real data in staging, with an evaluation set built from your own cases. Then it goes live behind guardrails: structured outputs, fallbacks, escalation and monitoring. AI never approves AI.

What we will not ship.

No unmonitored AI in production.

Every agent ships with logging, alerts and an evaluation set, or it does not ship.

No fully autonomous agents without a human-in-the-loop gate.

A person can always see, stop and override what an agent decides.

No AI in compliance-sensitive domains without legal review first.

Health, finance, legal and HR use cases get a legal read before a line of code.

No LLM integration without a fallback chain.

When a model fails or drifts, the workflow falls back to a known safe path, never to silence.

How we build it

AI-native delivery, governed by architects.

01DiscoveryAI-augmented scoping with senior architects

02ArchitectureSystem design + security, governed

03BuildAI pair-programming, every commit reviewed

04QA gateAutomated testing + expert review

05OperateMonitoring, iteration, continuous delivery

The same five-step delivery model behind every Wegile build. Not an AI wrapper — a production AI team.

Under the hood

Built for daily deploys.

CI/CDQuality & security scansMonitored rollbackWorkflow AI agentsIncident routingScheduled jobsData pipelines

The same six-gate pipeline behind every automation we ship.

Pricing

Pricing.

Foundation through LaunchPad Pro at $4,999 for new products, or LaunchPad Elite from $9,999 for an existing codebase. Then a dedicated architect from $4,500 a month, or a fixed-scope build with a capped price. Every price is on the pricing page.

Bring one workflow that eats your team's week.

On a 30-minute call an architect will tell you whether it should be automated, and how. No charge.

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