Custom AI agents,
engineered for production.
We design agents that plug into the tools you already run and take real work off your team's plate — multi-agent orchestration over the open A2A protocol, secure tool access via MCP, and human oversight where it matters.
Clean agent architecture
Pauses for human approval
Of actions audited
The same production standard we build every Alis Build platform on.
Any agent your business needs — engineered to one standard.
Every agent we build sits on the same production-grade foundation: multi-agent orchestration over the open A2A protocol, secure tool access via MCP, and human oversight where it matters.
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
Reads your document room and writes the report.
Q&A over confidential documents with page-accurate citations, drafts live reports and spreadsheets, and runs structured review flows for high-stakes work.
- Page-accurate citations over confidential docs
- Live report & spreadsheet authoring
- Structured review & verification flows
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 applicant assistant.
- Connects to LinkedIn to source candidates and read profiles
- Reads a candidate's public GitHub to gauge real, published work
- Per-tool permissions; anonymous public apply-flow
A team of agents on top of the tools you use.
Role-based agents that connect to your CRM, payments, email/SMS and task tools, act on your behalf via per-user OAuth, and run under one governance layer.
- Connects to your CRM, payments, email/SMS and task tools
- Acts on your behalf via per-user OAuth — no shared super-account
- One governance layer to visualize, secure & audit every agent
…and if your workflow isn't on this list, it's simply the next one we build. The archetypes above share one engine — so a new agent is a new configuration, not a new platform.
The agent proposes. You approve. Then it runs.
Before an agent starts any long-running or data-touching job — deep research across your files, a bulk update, a multi-step workflow — it stops and shows you the plan. Nothing runs against your data until a human says go.
- 1It drafts a plan — the steps it intends to take, which sources it will read, and roughly how long it takes.
- 2You review the scope — exactly what data it touches, and what (if anything) it will change.
- 3You approve, edit, or stop — approval is tied to you, re-checked at run time, and written to the audit trail.
- 1Plan the sub-questions and pick the right sources
- 2Search your document vault, meetings & the web (read-only)
- 3Synthesize the findings into one cited report
Agents you can actually put in production.
Autonomy without guardrails is a liability. Every agent we ship acts as the person using it — never a god-mode service account — asks before it changes anything, and writes an immutable record of what it did.
Acts as the user
Forwarded-identity auth means an agent can only ever do what the signed-in person is allowed to do. No shared credentials, no privilege escalation.
Human-in-the-loop
Reading is automatic; acting isn't. Any change — or any long-running job against your data — pauses for a plan you approve, re-checked before it runs.
Everything is audited
Every mutating action lands in an immutable, integrity-checked audit trail — the record auditors and compliance teams actually ask for.
Sandboxed execution
When an agent runs code, it runs in a locked-down sandbox with an import allow-list, time limits and output caps — never loose on your infrastructure.
Zero-trust · SOC 2-aligned
mTLS between services, Google OIDC, encryption in transit and at rest, secret scanning in CI, and controls mapped to SOC 2 from day one.
Governance console
One place to visualize, secure and audit every agent — with per-user OAuth so access is granted, scoped and revoked per person and per system.