Meet
Email
Slack
WhatsAppEvidence first
Canonical identities, invoice lineage, source timestamps, source-specific authority and explicit unknowns.
SYSTEMS ENGINEERING / INTERACTIVE REFERENCE
Agentic AI architecture with accountable decisions.
AI engineering translates operational requirements into coordinated systems of agents, tools and controls. The work begins by defining component responsibilities, data contracts and execution boundaries, then testing how the system handles normal operations, exceptions and recovery. The architectures and interactive walkthroughs below show how these decisions support reliable execution, traceability and human oversight.
ATHOS provides a concrete example of this approach in accounts receivable investigation. Its modular architecture separates evidence retrieval, specialist analysis and deterministic financial checks, while versioned case state preserves the context passed between components. Explicit state transitions and approval gates define when an investigation can advance, when it must pause and which financial decisions require human authority.
EXPLORE THE PROPOSED AGENT TOPOLOGY
Click a component to inspect its contract.
ATHOS controller
Authenticated case scope, case revisions, task budgets, source manifest and Purple reconciliation. Proposed parent architecture.
Implementation → evolution
JULY 2026Initial build
ATHOS workflow created as AR investigation and triage.
SEPTEMBER 2026Operational agent
Activated workflow with specialist routing and human review.
14 OCTOBERWorkflow configuration
Recorded workflow configuration and operating parameters.
15 OCTOBER+Engineering redesign
Scoped specialists, Policy v2 patch, review protocol and proposed regression suite.
Calculation and validation
The ATHOS design specifies deterministic checks for amounts, thresholds, duplicate requests, rule conditions and workflow versions.
Human authority
Investigation, approval preparation and actual financial execution remain separate responsibilities.
CASE STUDY / AGENTIC AUTOMATION CONTROL ARCHITECTURE
Five phases. Explicit control gates.
The original workflow map connects request intake, pre-flight checks, bounded execution, traceable outputs and independent post-generation auditing. The walkthrough below explains the controls at each stage.
ORIGINAL WORKFLOW MAP
Five phases, one traceable execution path.
PHASE 01 / TRIGGER & INITIALIZATION
Authenticate and establish the request.
Validate the incoming request and source layout, confirm access and stop safely when authorization or required information is missing.
Control mechanism
Authorization and input-schema checks before any financial operation.
Failure response
Request clarification or re-authentication; abort rather than guessing.
IdempotencyCheck whether the charge already exists before attempting generation.
Bounded executionChunked processing with checkpoints and stop conditions.
Independent assuranceSeparate post-generation review for duplicate charges and exceptions.
TraceabilityRecord generated, skipped and failed items with operator-facing evidence.
ARCHITECTURE REVIEW / THREE-AGENT SYSTEM
One case identity across investigation, routing and approvals.
ATHOS normalizes Slack and Workbench entry points, fans out queue items into individually tracked investigations, and resists embedded task instructions that impersonate the agent. PORTHOS applies structured routing precedence, with narrowly scoped exception handling. ARAMIS prepares and tracks human financial approvals. Case keys, explicit no-fit outcomes and human-gated status changes support controlled handoffs.
See the related operations intelligence design ↗VENDOR · Monthly billing architecture
Controlled monthly intake, deterministic calculator, FX reconciliation, versioned verification and explicit approval before final delivery.
Explore the original VENDOR workflow case study ↗Discuss your next project.
Define the problem, assess the opportunities and plan a practical route to an applied AI or automation solution.