A structured sales toolkit that guides every customer conversation — from assessing AI readiness through to a board-ready business case. Designed for one-pizza teams doing big things.
A 12-question diagnostic across six dimensions — data maturity, technical capability, governance, AI ambition, change readiness, and strategic alignment. Produces a scored readiness profile and tier classification before any platform decision is made.
An interactive scoring framework that helps customers decide whether to licence Microsoft Copilot or build a bespoke AI application. Eight weighted dimensions produce a recommendation with rationale — conservative, base, and strategic perspectives included.
A live conversation facilitator for customer meetings. Seven sectors, each with curated questions, follow-up probes, and use cases to surface. Built for use in the room — not a form, but a smart colleague whispering in your ear.
A structured backlog tool to capture, score, and prioritise AI use cases. Each use case is rated across five weighted dimensions and assigned a tier (S through D). Produces a ranked backlog and portfolio insights with an impact vs. feasibility bubble chart.
A CFO-ready financial model that translates a scored use case into a 3-year business case. Inputs cover people, process, quality, risk, and investment costs. Outputs include NPV, ROI, payback period, FTE equivalent, sensitivity analysis, and a printable executive summary.
AIMS is a configuration-driven AI platform for building management applications. Everything — modules, agents, tools, forms, search — is a configuration record. Deploy a new AI workflow without a development team. Nothing goes live without a deliberate publish action. Every change is logged. Every decision is auditable.
This is ISO 42001 in practice: responsible AI that your board, your auditors, and your customers can actually trust.