Operational Agents
Agents that read, classify, prepare, reconcile, monitor, and coordinate work across defined workflows.
- Document review
- Exception handling
- Record preparation
- Scheduling
- Follow-up
- Revenue recovery
Custom AI Engineering
Aletheon, custom AI agents and workflow software for operational teams in Des Moines, Iowa
Intelligence applied.
Aletheon engineers private AI agents, workflow applications, and automations for operational teams. Every system is built around real business rules, integrated with the tools already in use, and measured against time, errors, capacity, or revenue.
AgentsWorkflow SoftwareAutomationPrivate AI
What We Are
A system for applying intelligence.
Aletheon| ə-ˈlē-thē-ən |proper n.
From Gk. alētheia ("truth as unconcealment") + aiōn (enduring, long-horizon time).
1.A standard applied to AI: strip away noise, define the system, and produce outputs your teams can rely on and improve over time.
Aletheon is an AI engineering studio based in Des Moines, Iowa. We build narrow, operational software—private agents, workflow applications, and automations—around the work a business actually does. We define the operating constraint, build the system, measure the result, and improve it from there.
01
Constraint
02
System
03
Baseline
04
Deploy
05
Improve
01
Private where the workflow requires it
02
Human approval at critical actions
03
Integrated with existing tools
04
Measured against a real baseline
Selected work
Built for real operating constraints.
The strongest systems begin with an inconvenient workflow, explicit rules, and a result that can be verified.
A conversational scheduler for clinical rotations.
A private, on-device scheduling system that lets faculty work in plain English while a deterministic engine enforces capacity, conflict, and placement rules.
- ~690 student placements per semester
- Duplicate entry reduced from two entries to one
- 100% on-device
- 79 automated and live checks
A field CRM the crew runs by talking to it.
A voice-first, locally hosted CRM that captures customers at the curb and keeps the map, schedule, and customer record synchronized.
- One sentence to capture a customer
- Local and private
- ~$7 per month in infrastructure cost
Engineering capabilities
The interface is only the beginning.
Aletheon combines language models with deterministic software, integrations, permissions, and audit trails. The result is an operational system—not a chatbot placed on top of an unresolved process.
Workflow Applications
Purpose-built applications for processes that spreadsheets and generic SaaS cannot handle cleanly.
- Role-specific interfaces
- Approval queues
- Rules engines
- Dashboards
- Search and reporting
- Local-first applications
Integrations and Automation
Systems that connect email, documents, databases, business software, and model providers without requiring employees to re-enter information.
- API integrations
- Email ingestion
- Document extraction
- Database synchronization
- Notifications
- Human approval checkpoints
How we build
One workflow. One owner. One measurable result.
- 01
Define the operating constraint
Identify the exact workflow, its rules, current tools, failure points, and responsible owner.
- 02
Establish the baseline
Measure volume, human effort, cycle time, errors, backlog, revenue leakage, or another appropriate business result.
- 03
Build and test a narrow system
Implement the smallest useful version and test it against real examples, edge cases, permissions, and acceptance criteria.
- 04
Deploy, measure, and improve
Place the system into the existing workflow, monitor results, preserve human control, and expand only after the initial result is verified.
Engineering principles
Agents that operate within defined boundaries.
Deterministic rules where correctness matters
Language models interpret inputs. Conventional software enforces hard constraints, permissions, calculations, and acceptance criteria.
Human approval before consequential actions
Customer-facing communication, payments, record changes, and other important actions can require explicit approval.
Private deployment when appropriate
Systems may use controlled cloud infrastructure or local models depending on the workflow, data, and performance requirements.
Complete operational traceability
Record inputs, proposed actions, approvals, outputs, errors, and system decisions so the workflow can be reviewed and improved.
Aletheon presents
ATHENA
The adaptive AI gateway. Athena routes every request to the smallest, most efficient model that can answer it, across 8 providers and ~19 models, so you cut AI cost and energy use without compromising quality. One API, automatic failover, and transparent cost-and-carbon reporting on every call.
scoring the query…
8 PROVIDERS · ~19 MODELSONE API · AUTO FAILOVERCOST + CARBON PER CALL
Latest research note
The Environmental Cost of AI
AI is not weightless. Every model response depends on physical infrastructure, and its real footprint depends on where compute runs, how it is powered, and how the accounting is drawn. This briefing lays out what the best available evidence actually supports.
6/27/26Pascal Patton-Imani
Research layer
High-signal writing on implementation, risk, and AI systems design.
Energy, Carbon, Water, and the Need for Transparent Compute Decisions
Read the full note to see the operating principle, technical framing, and the implications for teams trying to adopt AI without theatre.
The Team
Meet the Founders.
Two founders. Direct access to the people designing and building the system.
Start Here
Show us the workflow costing your business time or money.
Bring one process, its current tools, and the result you want to improve. We will determine whether a focused software system is the right solution.
Start with one operational result
No generic AI package. No forced platform replacement. Start with one operational result.