Find which tools and SaaS AI has disrupted
Your tool and vendor stack was built for a pre-AI organisation. This programme maps every tool to the tasks and roles that use it, then scores each one against what AI-native alternatives now do.
02DiscoveryAvailable now · 24h post-ingestion
Your stack was built for an organisation that no longer exists.
Every tool in your stack was a rational purchase at the time. A workflow needed automating, a team needed a system, a category leader got picked. But the logic that assembled the stack predates AI, and AI has not just added a new category to buy: it has quietly dissolved the boundaries between the old ones. Point solutions are being absorbed into AI-native platforms. Workflows that justified a seat licence are becoming a prompt.
The uncomfortable arithmetic is that most organisations now pay for the same work several times: once in the salary of the person doing the task, once in the seat licence of the tool built to help them, and increasingly a third time in the AI subscription that could do the task outright. Nobody sees this, because tools are bought per department and the work is only visible per task. Until the stack is mapped to the work, the overlap is invisible by construction.
Every renewal you sign without evidence is a multi-year vote for the organisation you used to be.
Renewal calendars are the forcing function. Every contract you sign without evidence is a multi-year vote for the organisation you used to be. The negotiating position changes completely when you can put usage against spend, task by task: which seats carry real work, which duplicate a neighbouring tool, and which whole categories an agent now covers.
This programme exists to make that arithmetic visible before the next renewal cycle does its damage: every tool mapped to the roles and tasks that run through it, scored against what the AI-native market now does, with the evidence behind every score.
What this programme does.
We ingest your tool and vendor list and connect it to the graph: which roles depend on each tool, which tasks run through it, and what each seat actually costs against how it is used.
An always-on signal layer compares each tool against the AI-native market: where a category has been disrupted, where two tools now overlap, and where one agent could replace a workflow entirely.
From kickoff to landed.
Available now · 24h post-ingestion
Your tool and vendor list goes in
An export from finance or IT is enough: tools, vendors, and rough seat counts or spend where you have them. No procurement archaeology required.
Every tool connects to the work
The engine maps each tool to the roles that depend on it and the tasks that run through it, so cost sits next to actual usage rather than next to a departmental budget line.
Scored against the AI-native market
An always-on signal layer compares each tool against AI-native alternatives: where a category has been disrupted, where two tools overlap, and where one agent could replace a workflow entirely.
The consolidation shortlist lands
Candidates for replacement or renegotiation ranked by saving and risk, with the overlap and dependency map showing exactly which roles break if a tool goes.
What you get.
Living documents, not slideware: every deliverable stays connected to the graph and updates as the analysis moves.
Stack disruption report
Every tool scored for AI disruption, with the evidence behind each score.
Overlap and dependency map
Which tools duplicate each other, and which roles break if one goes.
Consolidation shortlist
The candidates for replacement or renegotiation, ranked by saving and risk.
What you need.
- Your tool and vendor list: an export from finance or IT is enough
- Rough seat counts or spend per tool where you have them
- A completed role map helps, but the programme can propose one
The questions teams ask about this programme.
How is this different from a SaaS spend-management tool?+
Spend-management tools see contracts and logins. This programme sees the work: every tool is mapped to the tasks and roles that actually run through it, then scored against what AI-native alternatives now do. That is the difference between knowing what a tool costs and knowing whether it still earns its place.
What counts as a tool being 'disrupted'?+
A tool is flagged when the evidence shows its core tasks are now covered by AI-native alternatives, by a neighbouring tool you already pay for, or by an agent running the workflow directly. Every flag carries the market evidence behind it, so you can judge the claim rather than take it on trust.
Do we need a role map before running this?+
It helps, because the dependency picture gets sharper, but it is not required: the programme can propose a role map for your team to confirm as part of the run. Many clients pair this with the role impact analysis for exactly that reason.
Will acting on this break workflows?+
That is what the dependency map is for: before any tool is touched, you can see which roles and processes rely on it and what would need to migrate where. The follow-on consolidation programme sequences the changes so nobody discovers a broken workflow on a Monday morning.
How current is the market intelligence?+
The signal layer is always on, not a snapshot: it tracks the AI-native market continuously, so a category that gets disrupted after your report still surfaces. Your stack analysis is a living view, not a PDF that ages.
Programmes compound.
Each programme deepens the same graph the next one runs on: nothing is re-gathered, nothing starts from zero.
The natural next step · Programme 07 · TransformConsolidate your tool and vendor stacks
The analysis tells you which tools are optional. The consolidation programme removes them without breaking the workflows that depend on them.
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Start with this programme, on one department.
Walk into your next renewal cycle knowing which tools AI has already made optional.