Business — Unique on the market

Autonomous KB Governance

AI that decides what to research, within which budget, according to which strategy — without you briefing it.

Four pillars, governed by design

Budget Manager

Monthly LLM spend caps per niche. No runaway AI, no surprise bills.

Gap Detector

Continuously scans your market vs your KB. Identifies what your content is missing before your competitors do.

Question Allocator

Prioritizes research queries by strategic value and budget constraints. High-impact topics first.

Strategy Builder

Adapts the research plan over time based on what's working, what ranks, and what converts.

How it works

Four pipelines run continuously. You review outcomes, not individual decisions.

1

Budget set

You define a monthly LLM spend cap per niche. The system never exceeds it.

2

Gap scan

Every hour, the Gap Detector compares your KB to the current market signals (trends, CVEs, news, SERP shifts).

3

Allocate

The Question Allocator ranks discovered gaps by strategic value × budget cost × time-to-rank. Top-K picked.

4

Evolve

Strategy Builder observes outcomes (ranks, CTR, conversions) and adjusts future allocations. No reinforcement learning needed — deterministic feedback loops.

You keep full visibility: every decision logged, every cost tracked, every rank delta visible on your dashboard.

Manual briefing vs autonomous governance

What changes when the AI decides what to research.

Manual briefing workflow

Most AI content SaaS today

  • You write weekly briefs based on gut feel or competitive watch
  • LLM costs are unbounded — one bad prompt burns hundreds of euros
  • Topic selection lags 2-4 weeks behind actual market shifts
  • No feedback loop — underperforming topics keep being briefed

Autonomous governance

CoreProse Business

  • Gap detection runs hourly against live signals; you review a ranked list, not an empty brief
  • Hard budget cap per niche — spend physically cannot exceed your limit
  • Topics surface within hours of a market shift (CVE disclosed, trend peaking, competitor ranking)
  • Strategy Builder re-weights allocations based on what actually ranked and converted
Illustrative example

What a cybersecurity SaaS team could achieve

A cybersec B2B SaaS with 3 niches (endpoint, cloud, identity) sets €300/month budget per niche on autonomous governance. After 90 days of hourly gap scans + strategy feedback:

12×
topic coverage vs manual briefing baseline
<€1
average cost per researched gap
4h
median lag from CVE disclosure to published article

Example values derived from backend simulation scenarios. Real outcomes depend on niche competitiveness and Business plan limits.

Frequently asked

Is this actual AI autonomy or marketing speak?
It's deterministic algorithmic governance over LLM calls. The AI does not make open-ended decisions — it operates within hard budget caps, ranked allocation rules, and observed feedback. No reinforcement learning, no "goals" in the AGI sense. It's governed by design.
What if the gap detection surfaces irrelevant topics?
Every generated article and every governance decision is logged. You can review, deprioritize, or hard-exclude topic patterns. Strategy Builder learns from rejections over time.
How does this interact with my existing content calendar?
Autonomous governance runs in parallel. You keep full control of your editorial calendar — it surfaces opportunities, it doesn't force publication. You approve or reject each suggested article before generation.
Is this available on every CoreProse plan?
Budget Manager and basic gap detection are included from Starter. Full autonomous stack (Allocator + Strategy Builder with cross-niche optimization) requires Business plan.
Can I see the governance decisions in real time?
Yes. The Business dashboard includes a Governance view: active budget, pending gap queue, historical allocation rationale, and conversion correlation per topic. Every decision is traceable.

Ready to let your KB run itself?

Available on the Business plan. Start with a 14-day free trial, no commitment.