Aelix Echo · Process Automation
Work that runs
while you're not watching.
End-to-end process automation for regulated operations. Orchestrated workflows, integrated systems, embedded AI agents, and the human-in-the-loop governance that keeps the auditor satisfied.
The thesis
An automation only works if a human can audit it, recover from it, and trust what it did when they weren't watching.
Most automation programs stall on the same thing: the work that runs fine in the demo falls over the moment it meets a real exception, a regulator, or a Monday morning. We build for the Monday.
What we automate
Workflow orchestration that survives the real edge cases.
We model the full process, the happy path and the wrong turns, then encode it as a versioned workflow. Every branch, retry, and timeout is a deliberate design choice, not a discovery in production.
Integration with the systems your business actually runs on.
ERPs, core banking, EHRs, claims systems, ticketing, mainframes. We connect to the systems already in place, and we treat their schemas, latency, and downtime as engineering constraints, not afterthoughts.
AI agents with intent, scope, and guardrails.
Agents handle the steps that benefit from judgment: classification, extraction, drafting, summarization, decisioning. Every call is scoped, logged, and reversible, so model behavior never quietly becomes business policy.
Human-in-the-loop, by design.
Confidence thresholds, exception queues, reviewer workflows, and SLA-bound handoffs. The operator stays in command for the calls that matter, and the system gets out of their way for the ones that don't.
Audit trails, evidence, and the boring parts that pass inspection.
Every action timestamped, every input preserved, every model decision explainable. Built to clear SOC 2, HIPAA, GDPR, and the internal compliance team that's seen too many half-built workflows.
A glimpse of the work
Accounts payable · run #28471
Workflow run trace · accounts payable
+ Agentic AI
Where rules end, the agent begins.
Workflows do the deterministic work fast. Agents take over for the one step that needs judgment, and hand back the moment they're done.
Outcomes
60-80%
Cycle-time reduction on automated paths
99.5%+
Exception capture rate
Days → hrs
Typical workflow turnaround
Aelix Echo internal engagement benchmarks
How we work
A short discovery, a measured rollout, and a long, quiet operate.
Discover
We sit with operators, map the process, and find where time, money, and trust quietly leak today.
Map
Every system, hand-off, exception, and human checkpoint, sketched as a working process map before any automation runs.
Orchestrate
Workflow code, integrations, AI agents, and human queues, deployed behind feature flags and observed from day one.
Operate
Monitoring, exception triage, model recalibration, and the iteration that turns a launch into compounding savings.
A note from the practice
We don't build bots that hide what they did. Every action is auditable, recoverable, and explainable, because the moment one isn't, the operator stops trusting the system, and the trust is what kept the throughput.
The Aelix Echo automation practice
When the work needs to run without you watching, we're here.
45-minute working session · One real process, scoped live