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Fluxopus deck (English)

Slide 1 / 12

Fluxopus

The AI platform that turns busywork into business results

  • Find your team’s most wasteful workflows. Automate them. Prove the ROI.
  • From discovery to execution to organizational intelligence — one platform.
  • Everything in this deck is live in production, unless marked as roadmap.

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What Fluxopus does today

Discovery → Prioritization → Execution → Proof

  • Workflow intake through questionnaires with AI-driven pain/ROI scoring.
  • Task pipeline: identified → in progress → automated → measured.
  • Time logging with automatic ROI calculations in hours and euros.
  • Knowledge base with semantic search for reusable insights.
  • Meeting transcription with automatic action item extraction.
  • Desktop transcriber app for audio/video with cloud sync.

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Execution engine, not just recommendations

  • Three-tier AI agents: system workers, curated templates, user-refinable.
  • AI skills that execute workflows, not just suggest them.
  • OAuth integrations with a growing library of tools (Google, Slack, HubSpot, GitHub, and more).
  • Custom app platform: each company gets its own subdomain and apps.

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Organizational intelligence — live now

Not a roadmap slide. These features are shipped.

  • Knowledge graph: people, tasks, skills, meetings, and agents linked with 9 relationship types.
  • Maturity scoring across 4 dimensions: visibility, execution, learning, coordination.
  • Agent playbooks: reusable templates with trigger, context, and output contracts.
  • Governance layer: tool-level policies (allow/deny/rate-limit) and full audit trail.

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Human context as first-class input

  • Meetings: transcripts with speaker diarization, AI-extracted decisions and action items.
  • One-click: turn meeting actions into tracked tasks or knowledge items.
  • Tags and team knowledge linked directly to agents and execution.
  • AI operates on your company’s real context — not generic prompts.

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The flywheel

Every interaction makes the system smarter

  • Tasks create data. Data trains prioritization. Prioritization drives automation.
  • Agents log outcomes. Outcomes feed the knowledge graph. The graph informs the next agent.
  • Maturity scores track progress. Progress unlocks advanced playbooks.
  • Result: the cost of the next automation keeps going down.

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Vision: AI Company Hivemind

Where we’re heading next

  • Cross-agent orchestration: planner agents dispatching to specialists.
  • Goal-driven agents: optimized for KPIs, not one-off prompts.
  • Weekly company digest: wins, blockers, anomalies — generated automatically.
  • Enterprise trust pack: data controls, retention policies, compliance-ready exports.

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Use cases

  • Operations: surface recurring friction, deploy automations, measure the savings.
  • Sales: transcribe calls, detect blockers, trigger follow-up automatically.
  • Leadership: live maturity scores and ROI dashboards instead of static reports.
  • Consulting: white-label workflow assessments with provable client ROI.

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Trust and governance

  • All agent tools are company-scoped — no cross-tenant data leaks.
  • Tool-level policies: allow, deny, or rate-limit per agent.
  • Full audit trail of every tool call, every decision.
  • Token budgets per agent and per company — no runaway costs.

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Go-to-market

Land with ROI, expand with intelligence

  • Land: free workflow assessment proves savings in hours and euros. No credit card.
  • Adopt: teams deploy agents and integrations as automation needs grow.
  • Expand: knowledge graph and maturity scoring make Fluxopus the operational backbone.
  • Retain: the more a company uses it, the harder it is to leave — the graph is the moat.

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Why now

  • AI models are commoditized. The bottleneck is operational context — that’s our layer.
  • Competitors automate tasks. We automate the decision of what to automate.
  • The stack is live: agents, graph, governance, maturity scoring — all in production.
  • Mission: give every company its own trusted AI nervous system.

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Fluxopus

Measure. Automate. Remember. Repeat.

  • Measure what creates value.
  • Automate what creates friction.
  • Remember what the company learns.
  • Let teams and agents work as one brain.