Production agents,
engineered — not prompted.
Anyone can wire up a chatbot. We engineer agents that hold up in production — specialists coordinating over the open A2A protocol, reaching your systems through MCP, on Google's ADK, with security and human control designed in.
Clean agent architecture
Pauses for human approval
Of actions audited
The same production standard we build every Alis Build platform on.
One orchestrator. A team of specialists.
An orchestrator agent plans the work and delegates to purpose-built specialists over A2A — each reaching only the systems it's authorized for, on your behalf.
Blueprints we ship
De-identified agent patterns from real engagements — described by capability, never by client.
An analyst that reads everything, and cites it.
Grounds every answer in your private knowledge base, ingests documents, meetings and chats, and runs deep multi-source research into a finished, cited report.
- Vertex AI Search (RAG) grounding — citations, never guesses.
- Parallel specialist sub-agents converge on one report.
- Plan-first — you approve before a long job runs.
Sources, screens, and shortlists — you decide.
Connects to LinkedIn and GitHub to source and understand candidates, scores applications against each role, and runs your pipeline with a locked-down public assistant for applicants.
- Reads public GitHub to gauge real, published work.
- LinkedIn sourcing + existing-profile review.
- Per-tool permissions; anonymous public apply-flow.
The agent stack — battle-tested, layer by layer.
A clean separation of concerns is what makes an agent maintainable, secure and swappable. This is the shape of every agent we ship.
Channels
- ‣Custom web UI
- ‣Gemini Enterprise
- ‣API · extension
Orchestration
- ‣Agent cards · /.well-known
- ‣Tasks · artifacts · SSE
- ‣Long-running jobs
Reasoning
- ‣Gemini · OpenAI · Anthropic
- ‣Planning · budget guards
- ‣Human-in-the-loop
Tools
- ‣Per-tool IAM
- ‣Argument validation
- ‣Sandboxed code exec
Security
- ‣Forwarded identity
- ‣Zero-trust · mTLS · OIDC
- ‣Immutable audit trail
Governance
- ‣Visualize every agent
- ‣Per-user OAuth
- ‣Searchable audit
See — and control — what every agent costs.
AI is only worth it if the value beats the spend. Every agent we build reports its own usage, so you can watch cost per agent in real time, cap it with budgets, and judge it against the work it returns — you decide what's worth running.
- Cost broken down per agent, per user, per model — no mystery bill.
- Set budgets and alerts; agents stop at the ceiling you choose.
- Weigh spend against value delivered — hours returned, work shipped.
- Your cloud project, your model keys — the spend is yours, visible and controlled.
Start your AI journey today.
A discovery call, a scoped pilot on your cloud, then a governed agent your team actually trusts.