Aelix Echo · AI Agents
Agents that take
work off your desk.
Software with a goal, a set of tools, and the judgment to use them. Aelix Echo builds, deploys, and operates AI agents that observe, reason, act, and hand off, inside the systems your business already runs on.
What an agent is
An agent is software with a goal, a set of tools, and the judgment to use them.
Not a chatbot. Not a script. An agent observes the state of the work, plans a sequence of actions, calls the systems that can move that work forward, watches what happens, and decides whether to keep going, change course, or hand off to a person. We build the boring parts that make that loop trustworthy.
How an agent thinks
It starts by knowing the state of the work.
Agents read from the systems that hold the truth: ticketing, EHR, CRM, accounting, mainframe, document store. We wire the observation layer so the agent never argues with reality.
It picks an order of operations, and a fallback for each.
Goal decomposition, tool selection, retry budgets. The plan is a first-class artifact the agent can revise, log, and explain, not a chain hidden inside a prompt.
It calls the systems your business already runs on.
Salesforce, Stripe, SAP, Workday, custom internal APIs. Every tool call is scoped, rate-limited, logged, and reversible. The agent can do everything a junior operator can, with the constraints you'd give a junior operator.
It checks its own work before saying it's done.
Output validation, confidence thresholds, and a second-pass review for the calls that matter. An agent that doesn't verify is a bot, and a bot that doesn't verify is an outage.
It knows when to ask a human, and what to ask.
Exception queues with the full reasoning trace, the proposed action, and the confidence behind it. The human resolves the call in seconds, because the agent already did the homework.
A glimpse of the work
Goal · process refund for ATX-44102
Live ReAct trace · refund handler agent
Outcomes
75-90%
Tasks resolved without escalation
Under 10s
Median first action
$0.02-0.10
Per-task cost, end to end
Aelix Echo internal engagement benchmarks
How we build them
A tight scope, observed runs, and the patience to tune the edges.
Define the intent
What the agent is responsible for, what it must never do, and what counts as done. Written before a single tool is wired.
Wire the tools
API contracts, auth scopes, rate limits, rollback paths. The agent gets the tools a junior operator would get, and the supervision a junior operator would get.
Deploy and observe
Behind a feature flag, with full tracing on every run. We watch the first hundred runs together, not over email.
Tune the edges
Escalation thresholds, prompt and tool revisions, regression tests on real traces. The agent gets quietly better while the team gets visibly faster.
A note from the practice
An agent without scope is a liability. An agent without observability is a black box. We build neither. Every run is bounded, traced, reversible, and explainable, because the day an agent surprises you is the day the program ends.
The Aelix Echo agents practice
When the work doesn't need a meeting, just an answer, we're here.
45-minute working session · One real task, agent-scoped live