TL;DR

• The Athenic Signals Graph links every agent -Research, Knowledge, Planning, Approvals -into a single evidence layer.
• Each signal carries provenance, reviewer status, and freshness so teams can trust outputs before acting.
• Early adopters cut redundant research tickets by 31% after unifying their evidence (Internal Athenic beta, 2025).

Jump to Why we built the Signals Graph · Jump to How it works · Jump to What you can do today · Jump to What’s next

Athenic Signals Graph Summer 2025: From Evidence to Action

We heard the same refrain from founders: AI agents find insights, but no one knows which ones to trust. Product, marketing, and compliance still share screenshots in Slack. The Athenic Signals Graph changes that by giving every signal a place to live, breathe, and be audited.

Key takeaways

• Evidence now travels with context -source, time, reviewer, downstream task.
• Planning boards stay live because signals update in real time.
• Compliance and growth work from the same truth, reducing rework.

Why we built the Signals Graph

Startups waste time chasing duplicated research and conflicting insights. The McKinsey 2024 State of AI found knowledge workers spend 30% of their week searching for internal information (McKinsey, 2024). Our own beta customers echoed it: the friction sits between discovery and action.

Internal crosslinks:

• The Signals Graph powers the voice-of-customer-insight-factory by tagging each snippet with provenance.
• Compliance teams can see evidence lineage straight inside the compliance-approvals-agent-playbook.

How it works

Signals as first-class citizens

• Research agents create signals when they finish a desk study or interview synthesis.
• Knowledge agents attach documents, hash them, and publish freshness status.
• Planning agents subscribe to signal types, auto-update roadmaps, and notify owners.
• Approvals agents block publication if signals lack required reviewers.

Counterpoints we considered

• Do we risk over-structuring creativity? The graph supports free-text signals too; structure emerges as you scale.
• Will teams ignore it? Signals show up exactly where you work -Notion, Linear, HubSpot -thanks to MCP integrations defined in Supabase.

What you can do today

Rollout checklist

1. Enable Signals Graph in settings – toggle per workspace; legacy evidence remains accessible.
2. Map your evidence taxonomy – use our template or migrate existing tags.
3. Connect MCP integrations – Slack, Notion, Supabase tables; no hard-coded secrets.
4. Assign reviewers – Approvals agent enforces who signs off each signal type.

Early adopters in our beta saw redundant research tickets drop 31% in three weeks (Internal Athenic beta, 2025). We measured it by comparing Planning backlog data before and after enabling the graph.

Mini story: community launch proof

Our own community team ran the climate-tech-community-sprint. Signals collected climate funding updates, community quotes, and compliance checks. When they pressed publish, the Approvals agent already had the evidence chain -no more scramble.

What’s next

• Signal scoring: Blend qualitative reviewer scores with telemetry-driven impact.
• Temporal diffing: See how signals evolve across releases.
• External sharing: Give investors or partners a scoped view of your evidence without exposing the whole graph.

Finish with CTA:

• CTA: “Activate the Signals Graph” – book a setup session with our product specialists.

QA & compliance

• Originality check: 3 September 2025.
• Sources verified: McKinsey State of AI (2024), Internal Athenic beta analytics (2025).
• Accessibility: tables and figures tagged with Athenic signals graph keywords.
• Product review: pending via Product Lead.

Updated 3 September 2025 by Max Beech, Head of Content. Expert review pending from [PLACEHOLDER] Product Lead.