Most transformations do not fail on the technology
They fail on the strategy that never reached a process, the ownership nobody took, the data nobody trusted, or the AI that never left the pilot. Value Multiplied is how we find which one is your problem before anyone starts building.
What is Value Multiplied?
Value Multiplied is how Pulse & Patterns explains where business value comes from: Business Strategy × People × Processes × Technology × Data × AI. The six factors multiply rather than add. Improve one and it strengthens the others. Leave one at zero and the result is zero, however strong the other five are.
The pulse is human. The patterns are AI. Together, they multiply value.
A strong platform on data nobody trusts produces reports nobody uses. A clear strategy with nobody accountable for the outcome produces a document. AI on top of unclear processes automates the confusion faster. None of those is a reduced benefit. Each one is zero.
So the weakest factor sets the ceiling.
The useful first question in any program is not what to build, but which factor is holding the others back.
Where ServiceNow and Claude fit in Value Multiplied
We build on two platforms because the formula needs both. ServiceNow is the orchestration, workflow and governance layer: it connects processes, data and people across the company and makes AI accountable. Anthropic Claude is the intelligence that runs through it. Neither platform replaces the factors that are not software.
Workflow Data Fabric connects data the platform does not hold itself, and AI Control Tower governs the AI and agents that run across it.
A Company Second Brain gives AI access to the knowledge your people rely on every day.
We run Pulse & Patterns on both platforms before we recommend them.
They support how we sell, scope, design and deliver, which is how we know where they hold and where they need a stronger foundation underneath.
What each factor means, and how you recognize a weak one
Each factor has a plain definition and a failure you can recognize in work already done. On our homepage they carry short names: Direction, Ownership, Flow, Platform, Truth and Multiplier. The table shows what each factor means in practice, and what it looks like when it is the one holding the others back.
A direction clear enough to decide against, connected to the processes, owners, systems and measures it should change.
A strategy that never changed a process, an owner, a system or a measure. If nothing downstream moved, it was a document rather than a decision.
Named accountability for the outcome, and teams able to run and evolve what is built.
Accountability that stops at the technology function. No data owner and no AI owner, or both are somebody's second job. The people who scoped the work are not the people doing it.
End-to-end work that survives its own exceptions, including the handovers between teams.
Every function optimized and the seams between them untouched. Work falls between two systems, nobody owns the handover, and no record survives it.
A platform used as one connected system, not a collection of separate modules.
Capability you are licensed for and have never switched on. Money already spent, value never collected.
One system of record for each business object, and data the business actually trusts.
Two systems each authoritative for the same object. No single identifier for your customer. A report the business quietly does not believe.
AI applied inside a governed process, with human judgment and an accountable owner.
A parallel AI track running beside the real work, which is a reliable way to produce pilots that never reach production.
The pattern is worth noticing.
Five of the six failure modes have nothing to do with software. The sixth, licensed capability never switched on, is a decision problem that only looks technical.
How Value Multiplied changes the way we work
It decides the order of work. We find the factor weak enough to block the outcome and address it before building on top of it. That often means the most attractive initiative does not come first, because a data model, an integration boundary or an ownership decision has to exist before it can work.
We will tell you not to build something.
If the foundation underneath is missing, the build makes the problem more expensive rather than solving it. That advice costs us implementation revenue, which is exactly why it is worth having.
We do not run AI as a separate track.
AI depends on the same foundations as everything else: data, process clarity, integration, ownership and governance. Treat it as an exception and you get a demonstration rather than a capability.
We sequence before we scale.
Remove, simplify, standardize, automate, then apply AI. Real programs run parts of that in parallel, and that is fine, but the order tells you what you trade away when you skip a step.
We stay connected across the whole engagement.
Advisory, Discovery, Implementation, Managed Services and Enablement are one continuous engagement. It can start at any point, and most start at Advisory or Discovery. The senior practitioners who find the weak factor stay with you from the first workshop to go-live.
Which factor is holding you back?
If you already know which factor is weak, the work that addresses it is below. If you do not, finding out is the first conversation, and usually a short one.
Frequently asked questions
What does Value Multiplied mean?
It means six factors decide whether technology creates business value: Business Strategy, People, Processes, Technology, Data and AI. They multiply rather than add, so the weakest one sets the ceiling. We use it to find where value is being lost before deciding what to build.
Why multiplication rather than addition?
Because that is how these dependencies behave. A clear strategy with nobody accountable produces a document. A strong platform on untrusted data produces reports nobody uses. Neither is a reduced benefit, both are zero. Addition suggests a weak factor only lowers the total, which is the comfortable assumption that lets a doomed program proceed.
Which factor is usually the weak one?
People and Data. The two accountabilities most often missing are a data owner and an AI owner, and where they exist they tend to be somebody's second job. Data problems surface later and cost more, because they appear as a report the business quietly does not believe rather than as a visible failure.
Why is AI a separate factor if it depends on the other five?
Because it is the factor most often treated as an exception. AI depends on data, process clarity, integration, ownership and governance like everything else, but it arrives with enough momentum that organizations run it as a parallel track. That is a reliable way to produce pilots that never reach production.
Does Value Multiplied mean you only work with ServiceNow?
No. We build on ServiceNow and Anthropic Claude. ServiceNow orchestrates and governs the work, and Claude is the intelligence that runs through it. Several of the six factors are not software at all, and much of our Advisory and Discovery work addresses them before any platform decision is made.
Is Value Multiplied a score, a maturity model or a product we can license?
None of those. There is no score, no maturity rating, no toolkit and no certification. It is how we think about where value comes from and where it gets lost. The useful version is a conversation about which factor is weak in your situation, which is a normal part of how we start work.
Start with the weakest factor
Tell us where your last program lost its value. We will usually recognize the pattern, and we will tell you if the answer is not a platform.