iFINITYAgentZ for iMIS
For iMIS clients

A managed AI super-user layer for associations using iMIS.

AgentZ helps authorised staff ask plain-English questions, create and refine queries, build dashboard narratives, summarise trends, draft content, and take governed action without treating AI as an unmanaged side tool.

Who starts

iMIS administrator, membership or operations manager, and a senior manager who can validate outputs.

What proves value

Query creation, retention and engagement insight, event summaries, data-quality prompts, dashboard specifications, and board-ready narratives.

How it is licensed

Annual platform fee by weighted iMIS size, included named AI Hub users, fair use, onboarding, and visible third-party prerequisites.

UK packages for different iMIS team sizes and rollout ambitions.

Each package combines a client-sized annual licence, named AI Hub users, fair-use cloud allowance, onboarding, and clear ASI API and Claude prerequisites.

Starter

5-10 weighted iMIS users

GBP 4,800-6,000 p.a.
Includes 1-2 users

Entry-level AI super-user capability.

Professional Plus

25-50 weighted iMIS users

GBP 14,400-20,000 p.a.
Includes 5 users

Broader departmental reporting and dashboard use.

Enterprise

50-100 weighted iMIS users

From GBP 24,000 p.a.
Includes 8-10 users

Strategic AI layer for the iMIS estate.

Indicative figures exclude VAT, onboarding, ASI API licence, Claude licences, additional integrations, unusual usage volumes, and customer-specific legal/security work.

Start with a tight, evidence-led deployment.

The best first rollout is a small group of high-value users who know the client data and can validate outputs quickly.

Readiness

Confirm iMIS owner, API access, Claude users, permissions, and target use cases.

Configuration

Connect the MCP, AgentZ desktop app, monitor registry, OAuth setup, and download entitlement.

Guided use

Run query, reporting, dashboard, data quality, content, and management-summary workflows.

Expansion

Review value after 90 days, refine governance, and expand the package or user count.

Put the AI Hub where iMIS teams already feel the pain.

Start with the system owner, one operational lead, and one decision-maker. Prove query creation, dashboard support, data quality, and member insight before widening access.