01
Repeatable agent runs
Versioned prompts, tools, and policies so every run is explainable—not a one-off script in someone’s inbox.
ALIASGoverned AI automation
Agentic automation
without losing
the enterprise plot.
ALIAS pairs AgentWorks orchestration with AEOS-grade alignment so agents, tools, and humans share one governed surface—not a pile of brittle scripts.
IntentPlanActProve
AgentWorks
One governance layer
Built for operators who can’t afford mystery agents.
The same discipline you expect from platform engineering—applied to LLM workflows: explicit policies, structured context, and receipts for every automated action.
AgentWorks + AEOS
02
Human-in-the-loop by design
Escalations, approvals, and scopes are first-class. Nothing executes outside what your governance model allows.
03
Audit-ready telemetry
Trace intent, decisions, and side effects in one narrative. Built for compliance reviews and postmortems, not vanity dashboards.
PlatformSpec sheet
Composable, not chaotic.
Swap ingestion sources, model routes, or policy packs without rewriting your automations—everything stays wired through the same ALIAS control surface.
ContextUnified
AgentsOrchestrated
AuditImmutable
Modules that read as one ALIAS story.
From context ingestion to governed execution—each block shares schemas, policies, and telemetry so teams aren’t stitching together five different “AI platforms.”
Scroll→
Automation you can defend in a review.
Every agent step stays legible: who authorized it, which tools touched production, and how to replay or roll it back. That is the ALIAS standard for agentic work.
Agent mesh
Live intentIntent
Plan
Act
Prove
Run timeline
Agent logStep 01
Classify intent
Intent
Normalize the request, attach the right context packs, and confirm guardrails before any tool runs.
Step 02
Plan with tools
Plan
Agents propose a constrained plan—tool list, data touch points, and expected outputs—for humans or policy to approve.
Step 03
Execute under guardrails
Act
Run the plan with rate limits, allowlists, and automatic stops when confidence or policy checks fail.
Step 04
Record & review
Prove
Persist artifacts, decisions, and deltas so security, ops, and leadership see the same ground truth.
Progress
Audit trailReadable states
Controls that survive real incidents
SafeguardsLet agents handle volume, not vagueness. ALIAS keeps prompts, tools, and outputs in policy envelopes so automation scales without silent drift.
Policy
Guardrails
Automation inherits your RBAC, data rules, and escalation paths—no shadow workflows.
Transparency
Visible diffs
See proposed changes, retrieved context, and tool arguments before they commit to production systems.
Recovery
Controlled rollback
Revert automations with known checkpoints instead of manual cleanup after an agent misfire.
From signal to shipped work—without the theater.
ALIAS automation is built for regulated and high-stakes environments: the same UX metaphors your executives already trust, extended to agentic execution.
Connect
Reason
Remember
Deliver
Operating model
Qualities buyers actually test for.
We optimize for defensibility and throughput—not vanity leaderboard metrics you can’t map to risk committees.
Orchestration
Multi-agent
Governance
Policy-first
Evidence
Replay-ready
Alignment
AEOS
Bring ALIAS automation inside your existing stack.
Walk through AgentWorks orchestration, AEOS alignment checkpoints, and the audit model your security team will actually sign off on.
Response time: under 24 hours