Start here if unsure
AI Agent Assessment
Map your prospecting, CRM, follow-up, content handoffs, data quality, and approval rules before committing to a managed agent desk.
NZ$1,000
Weekly approval queue
Turn stuck follow-up and content backlogs into a weekly AI agent queue.
An AI agent agency for New Zealand B2B teams that need better sales pipeline follow-through and steadier content production — without automatic outbound, automatic publishing, or generic volume tactics.
- For founders and operators with leads, notes, calls, or ideas falling through the cracks.
- AI agents prepare the research, drafts, CRM updates, briefs, and next actions.
- human approval stays in control before any message, booking, claim, or publish decision leaves the building.
Offer ladder
Choose the safest next step for your current bottleneck.
Use the route selector to choose the safest next step: audit-first for uncertain teams, or a managed-agent path when sales or content is already the clear bottleneck.
Sales bottleneck
Agent Team Installation
Managed lead research, qualification notes, personalized outreach drafts, follow-up timing, and CRM hygiene for quality-first pipeline work.
NZ$5k installation; maintenance from NZ$5k/mo per cornerstone
Also written as NZ$5,000 installation; maintenance from NZ$5,000/month per cornerstone.
Content bottleneck
Agent Team Maintenance
Managed source mining, content briefs, draft assets, repurposing packs, and production queues with human review before publishing.
NZ$5k installation; maintenance from NZ$5k/mo per cornerstone
Also written as NZ$5,000 installation; maintenance from NZ$5,000/month per cornerstone.
Decision path
Not every buyer should be pushed into the audit.
If the main problem is still unclear, the audit is the safer front door. If the bottleneck is already obvious, the fit review can route directly to Agent Team installation, monthly maintenance, or a no-fit recommendation.
Concrete workflow example
What “agent queue” means in a normal week.
Homepage 1 was strong on governance. Homepage 2 pairs the same safety boundary with a more tangible before/after operating scene.
Before
- Good prospects sit in spreadsheets without fit reasons.
- Follow-ups depend on memory and scattered notes.
- Founder calls create ideas that never become briefs.
- Drafts are hard to approve because claims and next steps are unclear.
After
- Each lead has a specific fit reason and suggested next action.
- Outreach drafts are prepared but not sent until approved.
- Calls and notes become content briefs and draft queues.
- Approvers review a smaller set of prepared decisions each week.
Qualified lead capture
Think this might fit?
Request a fit review — the next reply should point toward audit, agent team installation, operations agents, company brain, maintenance, or no-fit.
Positioning
Different from broad AI employee promises.
Many providers position around “AI employees” or broad automation. This variant narrows the promise to prepared revenue work, explicit approval gates, and practical implementation.
Sales pipeline cluster
Better-fit conversations without blasting prospects.
Use AI sales pipeline agents for prospect research, lead qualification, follow-up coordination, and CRM discipline. Related pages: AI lead qualification agents, AI follow-up agents, CRM pipeline automation with AI agents, and AI outbound without spam. No outbound is sent without approval; No spam, no spammy blasting, and no unsupported booking guarantees.
Content production cluster
A steadier queue without automatic publishing.
Use AI content production agents for source mining, briefs, drafts, repurposing, and approval workflows. Related pages: AI content workflow automation, AI content repurposing agents, and AI agent readiness checklist.
Local category cluster
AI agent agency NZ, written for practical implementation.
For category and local intent, read AI Agent Agency NZ, AI Automation Agency NZ, and AI workflows NZ.
Fit boundary
Who this is not for.
Not for teams seeking scraped-list blasting, automatic cold email, generic mass content, automatic publishing, guaranteed bookings, invented proof, or public claims without evidence.
FAQ
Questions buyers and answer engines need answered.
Concise answers for SEO, AEO, lead qualification, and safer claims.
What does AI Agent Agency do?
AI Agent Agency designs and operates human-approved AI agent workflows for sales pipeline and content production. Agents prepare research, drafts, queues, CRM updates, and next actions; humans approve outbound messages, publishing, bookings, and sensitive claims.
How much does AI Agent Agency cost?
The AI Agent Assessment is NZ$1,000. Agent Team Installation are NZ$5,000 installation; maintenance from NZ$5,000/month per cornerstone. Agent Team Maintenance are NZ$5,000 installation; maintenance from NZ$5,000/month per cornerstone.
Which offer should a new prospect start with?
If the workflow is unclear, start with the AI Agent Assessment. If the bottleneck is already clearly sales pipeline or content production, request a fit review and route toward the relevant managed agent offer.
Do the agents send cold emails automatically?
No. Sales outreach remains human-approved. Agents can research prospects, qualify fit, draft personalized messages, suggest follow-up timing, and update a CRM or lead sheet, but emails and DMs are not sent without approval.
Do content agents publish automatically?
No. Content agents prepare briefs, drafts, repurposing packs, SEO sections, and production queues. A human approves final content, examples, claims, and publishing decisions before anything goes live.
Fit review
Request a fit review for your first AI agent queue.
Share the bottleneck. The intended next step is a practical reply: audit, agent team installation, operations agents, company brain, maintenance, or no-fit. The approval-owner question is optional if you are unsure.