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
Illustrative ReAct trace · refund handler agent
How the agents work
Scoped
Every agent starts with an intent and a defined scope
Aware
It knows the current state of the work
Planned
It picks the order of operations and the fallbacks
Connected
It calls the real systems your business runs on
Verified
It checks its own work before calling it done
Escalated
It knows when to ask a human, and what to ask
Where agents fit
Seven industries, the work an agent can take off the desk in each, and what it does with it.
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
Rolled out gradually, with full tracing on every run. We watch the first 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
Where the discipline comes from
We have evaluated frontier models for an AI research organisation: long-horizon engineering runs, root cause analysis, and grading of agentic safety, honesty, scoping and deference to user constraints. The same checks govern every agent we build.
Read the model evaluation case studyWhen the work doesn't need a meeting, just an answer, we're here.
45-minute working session · One real task, agent-scoped live