Describe an authorised or fictional business, its country context and adoption goal.
Engage now
An adoption review connecting the business priority, readiness gaps and sources needed for the next decision.
Inspect
Development prototype
FastAPI, React, PostgreSQL, Redis/Celery, Qdrant, and PDF-generation source boundaries.
Still to validate
Coverage counts describe source catalogues and rules, not a promise that every record is current or complete.
Establish source-date governance and expert validation for country, funding, GDPR, and EU AI Act mappings and generated reports.
Source reviewed
The decision behind the system
Where should an SME begin with AI?
An assessment prototype combining conversational intake, deterministic scoring, country data and model-assisted action plans and document drafts.
Navigator is an adoption and readiness entry point. Aegis focuses on system evidence; Sovereign Fabric is a workspace implementation reference.
Structured intake
Business profiling, country intake and staged assessment keep the readiness record separate from generated narrative.
From assessment to action
Readiness, project, funding and sandbox workflows help organise questions and next steps for review.
Drafts for specialists
Policy, DPIA, processing-record and declaration drafts sit alongside literacy, incident and data-audit workflows. They require current-source and expert review.
Read the complete system walkthrough
Describe
Describe an authorised or fictional business, its country context and adoption goal.
Assess
Inspect the staged intake and readiness scoring separately from generated narrative.
Prioritise
Connect use cases to project, funding and regulatory questions that require review.
Verify
Check draft plans against current sources and specialist advice. No funding eligibility or legal status is established here.
Inspect the source, test conditions and operating limits in the technical record.
Explore the technical record and evidence
Business ↔ technology bridge · Adoption and compliance experiment
Separate deterministic assessment from generated guidance.
Explores how an SME can move from AI ambition to a reviewable readiness and action record.
This is a portfolio and source interpretation—not a customer, deployment, certification, or outcome claim.
01
Business pressure
SMEs must connect business priorities, readiness, regulatory exposure, funding, and feasible use cases without a large specialist team.
02
Product decision
Keep scoring and regulatory rules distinct from narrative generation, and ground country and funding guidance in dated records.
03
Technical record
Conversational intake, persisted assessments, staged profiling and compliance workflows, retrieval, country data, and PDF report paths.
04
Evidence return
Readiness gaps, regulatory uncertainty, funding constraints, and use-case evidence return to roadmap, investment, and accountable review.
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
An SME assessment and reporting prototype combining conversational intake, deterministic scoring, country data, retrieval, and a Mistral-assisted report pipeline. It is guidance software under development, not a legal determination.
Maturity
Development prototype
Evidence review
Source snapshot through
Architecture and product decisions
Keep deterministic readiness and regulatory rules distinct from generated narrative.
Ground funding and country guidance in curated records and retrieval instead of prompt memory alone.
Run profiling, compliance, use-case, and report work as a staged pipeline with persisted assessment state.
Inspectable evidence
FastAPI, React, PostgreSQL, Redis/Celery, Qdrant, and PDF-generation source boundaries.
Country-program modules, assessment APIs, and Mistral model and embedding adapters.
Backend tests for selected scoring, funding, reporting, authentication, country-data, and document paths.
Claim boundary
Coverage counts describe source catalogues and rules, not a promise that every record is current or complete.
No legal advice, compliance status, funding eligibility, report turnaround, or adoption outcome is asserted.
Country data, generated guidance, and regulatory mappings require source-date checks and expert review.
Repository evidence is not client, deployment, certification, or outcome evidence.
Architecture
One conversation, 4 agents, one draft playbook
Three source layers: a conversational intake for SMEs, a 4-agent compliance + funding pipeline, and a PDF playbook delivery path. No report turnaround is asserted.
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 — Conversational Intake
Conversational intake records company context, current AI use and priorities. Browser i18n represents English, French, German, Italian, Spanish, Dutch, Polish and Greek; this is not a translation-completeness assessment.
02
Layer 2 — 4-Agent Pipeline
Profiler → Compliance → Use Cases → Report. Rule-based scoring, country-program modules, retrieval, and regional-matching surfaces are separated so their sources and assumptions can be reviewed.
03
Layer 3 — Playbook Delivery
Planned delivery path represented in source: WeasyPrint PDF report with compliance posture, funding shortlist, EDIH match, and a 3-phase implementation roadmap. Email flow with verification + report-ready notification. Token-gated admin panel for assessment statistics and approvals.
14-country funding coverage
Country-program source modules with explicit freshness limits
Funding is what turns an EU AI adoption deck into a launched project. The Navigator's RAG is designed to retrieve curated national-program records and fall back to open data for the long tail. Below: the 14 countries with hand-curated catalogues. Records need source-date checks.
Repository surface only: availability, completeness, performance, and operational fitness require separate validation.
FR
France 2030 + Bpifrance
01
France 2030 PEPR AI envelope, IA Booster, Bpifrance Deeptech + Innovation grants, France Num activator subsidies. Aligned with EDIH regional matching for next-step pilots.
DE
AI Strategy + IPCEI-AI
02
German federal AI strategy funds, IPCEI-AI cloud + edge funding, BMWK Mittelstand-Digital centres, KfW digital transformation loans. State-level programs surfaced as variants.
ES
Next Tech 2030 + Kit Digital
03
Spanish national AI strategy under Next Tech 2030, Kit Digital for SMEs, AAPP & EDIH regional kits, Red.es AI adoption grants for digital transformation acceleration.
IT
PNRR + National AI Strategy
04
Italy's PNRR digital-transformation pillar, MIMIT AI vouchers, Punto Impresa Digitale (PID) network, CDP venture-debt instruments for deep-tech.
NL
AiNed + WBSO
05
AiNed national AI programme, WBSO R&D tax credit, MIT scheme for SME innovation, regional ROM AI portfolios (Brabant, Holland, etc.). EDIH map for hub matching.
BE
AI 4 Belgium + VLAIO
06
Federal AI 4 Belgium framework, VLAIO AI grants (Flanders), Innoviris (Brussels), DigitalWallonia AI programs. The catalogue surfaces the regional fragmentation.
SE
Vinnova AI Innovation
07
Vinnova AI Innovation calls, AI Sweden partner programs, Sweden's national AI competence centre, EDIH Nordic-Baltic network coordination.
AT
AI Mission Austria
08
FFG AI Mission Austria, AWS digital innovation funding, Austrian Research Promotion Agency basic programme, Vienna Business Agency AI vouchers.
PT
AI Portugal 2030
09
AI Portugal 2030 national plan, PRR digital transformation envelope, IAPMEI SME digital vouchers, ANI deep-tech programs.
FI
Business Finland AI
10
Business Finland AI Business funding, Innovation Voucher (Innovaatioseteli), regional ELY Centre AI grants, Sitra AI ethics + capability initiatives.
DK
Innovation Fund Denmark
11
Innovation Fund Denmark Grand Solutions + InnoBooster, Erhvervsstyrelsen SMV:Digital, regional growth-hub AI clinics.
IE
Enterprise Ireland AI
12
Enterprise Ireland AI grants, IDA Ireland strategic AI investments, Skillnet Ireland AI upskilling, Local Enterprise Office vouchers.
CZ
Czech AI Strategy
13
Czech National AI Strategy under MIT, Technology Agency CR (TAČR) AI programs, CzechInvest AI calls, regional digital-transformation centres.
GR
GR AI Strategy + RRF
14
Greek National AI Strategy, Recovery + Resilience Facility digital pillar, Hellinikon megaproject AI initiatives, Elevate Greece deep-tech ecosystem.
Tech Stack
Built With
Named technologies identify repository dependencies or adapter surfaces; they do not assert a live integration or deployment.
Configurable Mistral model and embedding routes, staged Celery workflows, Qdrant retrieval and slowapi rate limiting; provider model aliases are not pinned performance guarantees