Choose approved organisational context and one authorised departmental request.
Engage now
A workflow review connecting context, job states, permissions and human review responsibilities.
Inspect
Development prototype
Web, API, worker, database, agent, model-routing, memory, and shared-schema packages.
Still to validate
No autonomous authority to transact, contact people, or change a business system is asserted.
Validate tenant isolation, permissions, residency, recovery, tool execution, and human oversight with authorised live integrations.
Source reviewed
The decision behind the system
Did the agent answer—or did the work actually run?
An organisation-scoped workspace prototype combining departmental modules, queued agent work, document retrieval and model routing.
Athena explores departmental execution and shared memory. Sovereign Fabric explores the foundational knowledge workspace; Techne specialises in creative work.
Company memory
Document upload and semantic retrieval make approved organisational knowledge available to workflows.
Work you can follow
Queued chat and job polling separate a generated response from background work. Activity and notifications expose workflow state.
Scoped workspace
Authenticated organisation-scoped surfaces and shared search provide a foundation for integration and permission testing.
Read the complete system walkthrough
Provide
Choose approved organisational context and one authorised departmental request.
Request
Separate the chat acknowledgement from the requested background work.
Follow
Inspect queued state, retrieval context and the model-route boundary.
Review
Have a named person examine the result and activity before downstream action. Organisation scope alone does not prove isolation.
Inspect the source, test conditions and operating limits in the technical record.
Explore the technical record and evidence
Business ↔ technology bridge · Agentic operating-model experiment
Make agent-assisted business work observable before it becomes authority.
Explores tenant-scoped agents, organisational memory, queued execution, and human review boundaries.
This is a portfolio and source interpretation—not a customer, deployment, certification, or outcome claim.
01
Business pressure
Departmental workflows and knowledge are fragmented, while a chat interface can conceal who owns an action, which data it used, and whether work completed.
02
Product decision
Scope data by tenant, queue agent work, separate model routing from business modules, and retain human review notices.
03
Technical record
Web, API, worker, database, agent, model-routing, retrieval-memory, schema, and selected test packages.
04
Evidence return
Tool results, queue state, retrieval provenance, and review outcomes return to workflow design, permissions, staffing, and operating controls.
Repository/runtime boundary
This page interprets source from a separate venture repository. Source presence does not make the venture a service running inside hyperion-consulting.io.
Visitor and client-data AI processing is restricted to Mistral through the governed EU endpoint. Owner-authorized Helio, Search and Product Council paths are enabled. A separate public-source editorial lane uses Anthropic with governed Mistral backup; it receives no website enquiries, client documents or visitor conversations. Deterministic tools remain available when remote AI is unavailable.
Source evidence
What the source actually establishes
A multi-tenant business-workflow prototype with departmental modules, queued agent execution, retrieval memory, and model routing. The source demonstrates orchestration boundaries, not autonomous business operation.
Maturity
Development prototype
Evidence review
Source snapshot through
Architecture and product decisions
Scope organisational data and workflows by tenant before agents or retrieval can consume them.
Run agent work through a queue rather than treating a chat response as a completed business action.
Encode human-review notices in agent definitions and keep model routing separate from business modules.
Inspectable evidence
Web, API, worker, database, agent, model-routing, memory, and shared-schema packages.
Typed database migrations and agent/tool schemas.
Unit tests for selected agent tools, routing, chunking, schemas, and browser smoke paths.
Claim boundary
No autonomous authority to transact, contact people, or change a business system is asserted.
No customer integration, data-residency guarantee, compliance status, or production deployment is established.
Generated departmental outputs require human review and separately configured data and model services.
Repository evidence is not client, deployment, certification, or outcome evidence.
Architecture
9 modules, 27 agent definitions, one company memory
Three source boundaries: a business workspace, queued departmental agent workflows, and a retrieval-memory layer scoped by organisation.
Source map only: a layer can represent implemented code, an adapter boundary, or documented design. It does not assert a configured production service.
01
Layer 1 — Workspace
The source represents nine department modules under one Next.js shell and a multi-tenant design. It does not prove a certification, a customer integration, or the operational replacement of existing systems.
02
Layer 2 — 27 Agent Definitions
Modules expose specialised agent definitions for lead scoring, planning, triage, invoice review, recruitment support, and policy review. Provider and locality behaviour depend on configuration; no sovereignty guarantee is asserted.
03
Layer 3 — Company Memory
Document chunking, vector embeddings, and retrieval are represented in source. Grounding quality depends on the ingested corpus, access controls, retrieval evaluation, and human review.
9 departments, one lead agent each
Department workflows represented as bounded agent roles.
The source defines specialised agents for each department. Below: the lead agent definition for each module’s proposed day-to-day workflow.
Repository surface only: availability, completeness, performance, and operational fitness require separate validation.
SALES
Lead Scorer + Pipeline Coach
01
Represents inbound and outbound lead scoring against a supplied ICP, next-best-action drafts, and stalled-pipeline flags. No CRM integration is established.
MARKETING
Campaign Strategist
02
Drafts campaign briefs, channel options, copy, and KPI hypotheses from supplied context. Brand and performance claims require human review.
SUPPORT
Ticket Triage
03
Represents ticket classification by severity and topic, a suggested first response from a supplied knowledge base, and escalation routing to a human reviewer.
FINANCE
Invoice Processor
04
Represents invoice extraction, purchase-order comparison, exception flags, and close-summary drafts. Financial authority and data locality remain external controls.
HR
Recruitment Screener
05
Represents CV parsing against a job scorecard, candidate flags for interview, personalised outreach drafts, and funnel tracking. Screening decisions remain with a human reviewer.
KNOWLEDGE
Document Curator
06
Represents ingestion, chunking, deduplication, vector retrieval, and cited answers for configured documents. Coverage is limited to authorised, successfully indexed material.
ANALYTICS
Trend Detector
07
Represents anomaly checks on business KPIs, root-cause hypotheses against supplied data, and a draft executive narrative for the monthly review. Findings require human review.
COMPLIANCE
Audit Trail Watcher
08
Represents policy checks and draft evidence records for selected workflow outputs. It does not establish legal completeness or compliance.
OPS
Workflow Optimiser
09
Represents profiling of repeated multi-step workflows and suggestions for where AI agents could shorten them. Workflow changes and any time or cost estimate require human review.
Tech Stack
Built With
Named technologies identify repository dependencies or adapter surfaces; they do not assert a live integration or deployment.
The separate Athena AI repository represents configurable Mistral, Anthropic, OpenAI, embedding, and pgvector retrieval adapters. Availability, locality, and data handling depend on operator configuration; these are not active website integrations.