Kai — Marketing agent · for marketing and demand generation leaders

Qualified demand, without the reporting lag.

Kai finds and improves the channels that create qualified leads, while you approve budgets, claims and public campaigns.

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Product safeguards support privacy and responsible AI use, including company-scoped access, disclosed AI interactions, human approval boundaries and decision records. These are not certifications; each customer remains responsible for its use case and legal assessment.

The problem

Marketing activity grows while qualified pipeline stays unpredictable.

LIMIT

Channel reports arrive after spend is committed

LIMIT

Lead volume hides poor customer fit

LIMIT

Campaign learning is lost between agencies

The solution

A context-aligned marketing agent that connects channel activity to qualified leads and the CEO dashboard.

Connected to your data

Reads ad accounts, analytics and forms, so every number and recommendation traces to a source.

Knows your business

Uses your market, offer, ideal customer and approved claims from your company knowledge, not generic playbooks.

You approve what matters

External commitments, spend, people decisions and policy exceptions always need a human.

What the constraint costs

Put a number on the problem.

€12,000
€1,000€100,000
30%
5%80%
35%
5%80%

Annual formula: monthly unattributed spend × waste share × 12 months

Annual constraint cost

€43,200 / year

POTENTIAL SAVING

35%

ANNUAL COMPARISON

€54,000

Typical performance agency retainer

Illustrative assumptions only. Potential saving is your selected scenario, not a forecast. Nothing is saved.

Compare

Kai vs a performance agency.

Annual cost

Today

€36,000+

Agent

€2,988 (€249/month)

Time to start

Today

2–6 weeks

Agent

Same day

Business context

Today

Repeated briefings

Agent

Your live rules and knowledge

Live data

Today

Exports and reports

Agent

Connected systems

Human approval

Today

Ad hoc

Agent

Boundaries and audit history

KPI accountability

Today

Activity reports

Agent

CEO dashboard plan vs actual

Alternative costs are illustrative market estimates.

Mistakes it prevents

The costly slips it catches for you.

Optimising cheap leads

Kai checks lead quality against closed revenue.

Budget drifts

Spend exceptions surface before they compound.

Broken attribution

Source gaps are flagged instead of guessed.

Slow campaign learning

Results return to the next experiment weekly.

Capability boundaries

Remove the work, not the accountability.

Ideal result

Qualified demand increases without extra CEO coordination.

The tension to solve

Increase lead volume without reducing customer fit or wasting spend.

Feedback loop

Compare MQLs and cost per MQL with plan; propose the next bounded channel experiment.

Routine tasks

Work you stop paying a performance agency for.

Duplicate reporting and manual channel roll-upsWork removed
Source checks and campaign performance summariesAgent handles
Budget and creative experimentsAgent proposes
Budget changes and public claimsYou approve

Make it behave your way

Your rules, your limits, your tone.

Tell the agent how your department works. It follows your rules, stops at your limits and writes in your voice.

  • Change anything in plain words through Addy
  • Changes take effect right away
  • Every change is logged and reversible

Rules

Exclude leads outside the ICP
Flag cost per qualified lead above plan
Publish campaigns without approval

Limits

Ask before moving budget above€2k
Daily spend alert€500

Tone

DirectFriendlyFormal
Also configurable: Ideal customer rules · Approved claims · Channel limits · Brand voice.

Data it connects to

What Kai reads to do the job well.

Planned at launchRead only · writes need approval

Ad spend and campaigns

Must connect

Google Ads · Meta Ads · LinkedIn Ads

Moves budget to channels that produce qualified leads.

Website traffic

Must connect

GA4 · Plausible

Finds where visitors drop before converting.

Leads and lifecycle

Must connect

HubSpot · Salesforce · Pipedrive

Measures lead quality, not just volume.

Search performance

Recommended

Google Search Console · Semrush

Spots content gaps that bring intent traffic.

Email campaigns

Recommended

Mailchimp · Brevo · HubSpot

Ties nurture emails to pipeline.

No system for this yet? Upload a sheet or CSV, or connect any tool through a custom API.

Approvals in Slack

Kai asks, you decide in one click.

Example messages. Every proposal shows its source data, and every decision is logged. Slack and Microsoft Teams are planned at launch.

K
Kai APP #approvals · 09:14

LinkedIn campaign 'CFO guide' has a cost per lead of €184, 2.3× your target.

Pause it and move €1,200 to Google Search, where cost per lead is €71?

Source: LinkedIn Ads · GA4 · HubSpot

K
Kai APP #approvals · 09:37

A new landing page variant converts 4.1% vs 2.6% over 1,900 visits.

Make it the default page for paid traffic?

Source: GA4 · experiment log

Designed for EU readiness

Controls for accountable use from day one.

Human oversight

You define which actions run and which require approval.

Traceable sources

Outputs can point back to connected records and documents.

Audit history

Actions, approvals and changes are designed to remain reviewable.

Access and retention

Role-based access and configurable retention are planned controls.

EU hosting options

EU-region deployment options are part of launch readiness.

These planned controls support GDPR and EU AI Act readiness. They are not a certification or legal guarantee; each customer remains responsible for its own assessment.

Moves your dashboard

Market → Lead, measured against plan.

MEASURED KPI

Marketing qualified leads

Market → Lead output against plan

MEASURED KPI

Cost per MQL

Acquisition efficiency

MEASURED KPI

Channel mix

Qualified leads by source

MEASURED KPI

Attributed revenue

Revenue linked to demand

Closed-loop improvement

Compare MQLs and cost per MQL with plan; propose the next bounded channel experiment.

Get early access to Kai.

We're onboarding teams in small groups.

Questions