AI is about to run your business.Who told it what’s true?

ChatGPT, Claude and agents can access your apps.
HelloTwin makes sure they operate from the terms, metrics, rules and goals your business runs on.

A business leader and their Twin shaking hands

AI can access your business data.But it doesn’t know what that data means for your business.

MCP gives AI access to application records. It does not create the shared identity, historical state or company-specific terms, metrics, segments and governed rules required to interpret those records as your business. Without that business meaning, AI must infer the definition, and will calculate the wrong answer perfectly.

What is our pipeline coverage?
AI + MCPAccess without business meaning3.1×Every open opportunity counted, whatever stage it sits inLooks healthyPlausible interpretation
SalesTwinAccess with business meaning2.4×Qualified-opportunity definition and coverage metric appliedQuarter at riskDefinition-verified

Business meaning required

  • Term
  • Metric

What counts as a qualified opportunity and how pipeline coverage is calculated.

How much pipeline did marketing source?
AI + MCPAccess without business meaning€3.4MEvery opportunity a campaign touched counted as sourced pipelineLooks on targetPlausible interpretation
MarketingTwinAccess with business meaning€1.9MSourced and sales-accepted definitions and attribution metric appliedBelow contribution goalDefinition-verified

Business meaning required

  • Term
  • Metric

What “sourced” and “sales-accepted” mean and how their pipeline contribution is calculated.

How many accounts adopted the feature?
AI + MCPAccess without business meaning31%Any feature event counted, across every account in the appLooks adoptedPlausible interpretation
ProductTwinAccess with business meaning11%Adoption definition, entitlement policy and adoption-rate metric appliedProduct bet behind planDefinition-verified

Business meaning required

  • Term
  • Metric
  • Rule

What “adopted” means, how the adoption rate is calculated and which accounts are entitled to the active packaging policy.

How much more are we shipping with AI?
AI + MCPAccess without business meaning+140%Every pull request counted, including rework and reverted changesLooks much fasterPlausible interpretation
EngineeringTwinAccess with business meaning+18%Production changes compared before and after AI adoption, with rework and reverts removedTrusted output barely movedDefinition-verified

Business meaning required

  • Term
  • Metric

What counts as shipped, how AI-assisted work is identified and how rework and reverts affect the result.

How much revenue is at risk?
AI + MCPAccess without business meaning€1.3MWorkspaces treated as separate customers and every usage decline counted as riskLooks alarmingPlausible interpretation
SuccessTwinAccess with business meaning€840kCustomer identity, at-risk definition and exposed-revenue metric appliedActual revenue exposureDefinition-verified

Business meaning required

  • Identity
  • Term
  • Metric

Which records belong to the same customer, when that customer is “at risk” and how exposed revenue is calculated.

A Semantic Operating System for your business

HelloTwin is a Semantic Operating System that connects the apps you already use and turns their data, together with your terms, metrics, rules and goals, into a living Digital Twin of your business. Each function gets a Digital Authority (“Twin”) that tracks its goals, detects risks and opportunities early, explains what changed, and directs people and agents on what to do next.

Semantic Digital Twin

A single, governed model of your business

Digital Authority

Humans set the goals; the authority is accountable for outcomes

Agents execute

The work happens in the apps you already use

A governed Digital Twin of the business, a Digital Authority surrounded by the objects it reads, and interchangeable agents executing the work

Stop managing agents. Start managing outcomes.

SuccessTwin home screen flagging revenue at risk across nine accounts
Raise an alert
SuccessTwin explaining what drove the increase in revenue at risk
Explain why
SuccessTwin proposing a recovery plan and asking for approval
Propose an action

BI was built to report the business.HelloTwin is built to help run it.

In the AI era, businesses need governed decision support and action, not more dashboards about the past.

Traditional BI
Q START QUARTER END

Report the outcome

HelloTwin
Q START QUARTER END
Risk detected Why it matters What to do next

Help change the outcome

One governed business truth.Available wherever your team works.

The HelloTwin Digital Twin is the component that makes AI trustworthy and accurate. Use it standalone in the HelloTwin app, or integrate it into the AI tools your team already uses.

Standalone
HelloTwin App
An app purpose-built around the function

Trusted metrics as the base, with governed questions, answers and situation rooms for the work each function owns. The fastest way to put a Twin in front of the people accountable for the number.

A Twin running standalone in the HelloTwin app
Integrated
Claude ChatGPT Copilot Gemini
Inside the AI tools your team already uses

Your Twin answers from inside Claude, ChatGPT, Copilot, Gemini and your in-house agents. Same governed twin underneath, same defendable answer, in the interface your team already lives in.

A Twin answering from inside ChatGPT

B2B SaaS operators on what changes

Matt Twist Head of Sales (EMEA), Earnix
As AI and agents have proliferated, so has organisational chaos. That’s why I believe HelloTwin’s vision is even more relevant today than ever: creating Digital Authorities that align people, systems and AI around outcomes rather than outputs.
Watch the feedback →
Chris Willis CMO, Outseer
HelloTwin doesn’t start with a dashboard. It starts with meaning. The first time I saw marketing-sourced and sales-accepted pipeline reconcile by themselves, I checked it against our own systems. It wasn’t just right, it was better.
Watch the feedback →
Anton Dechko Managing Director, friendlyway
We built a digital twin from the applications we already use, no warehouse and no data science team. That’s $100,000 we never spent. Now we spend management meetings on decisions, not definitions.
Watch the feedback →

Find out what your business is already telling you.

Connect your applications read-only and see what is changing, why it matters and where attention is needed, while there is still time to change the outcome.

Apply for the private beta →
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