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Revenue transformation for B2B companies

Turn your market signals into revenue.

We redesign how Marketing, Sales, RevOps, data and AI work together, then execute it with you.

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Trusted by marketing and revenue leaders in SaaS, cybersecurity, financial services and manufacturing. Built with the platforms your team already runs.

You are in the right place if any of these sound familiar.

You are a VP of Marketing, CMO, CRO, or RevOps leader responsible for pipeline, revenue growth, and increasingly, AI adoption. You need to redesign the operating model that connects Marketing, Sales, and customer success around a single, clean picture of the market.

  • Marketing and Sales are working from different models of who the buyer is, and it shows in the pipeline.
  • You have invested in AI tools – or are being asked to – and you are not certain which will move the revenue needle in your context.
  • Campaigns are running, but the link between marketing activity and closed revenue is hard to demonstrate to the board.
  • Your data is messier than it should be, and it is limiting what you can build on top of it.
  • You are a global team building consistency across markets, or a local team executing inside a global framework.
  • You want a partner with no software commissions and no vendor allegiances – advice you can act on without wondering who is paying for it.

These are not separate problems. They compound each other – and fixing one at a time rarely works. This is what Signy AI is built to solve.

The Revenue Signal Diagnostic.

Five questions. Four minutes. A clear picture of where your revenue engine is working – and where it is losing pipeline.

01

Buyer Intelligence

Who actually buys from you, and how? We assess whether your ICP, buying group mapping, and deal loss insight are sharp enough to drive AI targeting, content, enablement and messaging.

02

Revenue Leakage

Where is revenue leaking – and what is it costing you? We assess Marketing and Sales alignment, attribution reliability, funnel conversion, and forecast accuracy.

03

Technology

Is your technology working for or against you? We assess platform health, data quality, integration gaps, and whether your stack is ready to support an AI roadmap.

04

AI Readiness

Where does AI create real leverage in your specific context? We assess current adoption, data readiness, pilot sequencing, and change management maturity.

05

Execution

Are your campaigns reaching the right buying groups, with the right message, at the right moment? We assess channel coordination, messaging consistency, and attribution.

What we do

Five service areas. One revenue engine.

Each service area maps directly to a signal area in the diagnostic. Intelligence informs execution. Execution sharpens intelligence. The system compounds over time.

Revenue is a system, not a handoff.

Most B2B companies still run revenue like a relay race – marketing runs its leg, hands the baton to sales, and both sides argue about the handoff. The companies pulling ahead have stopped doing this.

The operating model Signy AI builds connects every layer – from buyer intelligence at the top through to expansion revenue at the bottom.

Buyer Intelligence & Market SignalWho buys, how they decide, and what the market is signalling.
Revenue Operating ModelICP, funnel design, buying group stages, unified KPIs.
Technology FoundationClean data, integrated platforms, governed MarTech.
AI LayerIntent signals, lead scoring, buying group research, agentic workflows.
ExecutionAcquisition campaigns, pipeline cadences, retention motions, expansion plays.
Revenue IntelligenceAttribution, forecasting, and continuous improvement.

AI capabilities we actually deploy.

Not “we use AI.” Here is what that means in practice for B2B revenue teams.

  • AI-powered lead scoring – prioritising accounts by fit, intent, and buying group engagement, not just demographic criteria
  • Buying group intelligence – mapping the full decision group, identifying who is engaging and who is blocking, and triggering the right motion by role and stage
  • AI account research – automated company and contact enrichment at scale, so outbound reaches the right people with accurate context
  • Intent signal activation – identifying accounts already in-market, before they raise their hand
  • AI search visibility – answer-engine optimisation so your company appears in the AI-generated answers your buyers consult during research
  • Agentic outbound workflows – AI-orchestrated sequences that personalise outreach at the ICP level without manual research per contact
  • AI content generation – brief-to-campaign acceleration using LLMs trained on your buyer model and messaging framework
  • Forecasting and pipeline intelligence – connecting AI signals to revenue forecasting so leaders act on leading indicators, not just lagging ones

The things you are probably thinking.

We hear this often. Our engagements are defined by delivery milestones and measurable outcomes agreed upfront. We build and run alongside your team, and we stay until results are visible. The diagnostic sprint exists specifically for this reason – a 2-4 week bounded engagement that ends with a prioritised action plan and commercial value attached to each item, not a strategy document.

We work with B2B companies from around 400 employees upward. Many clients are building the revenue infrastructure that will get them to the next stage.

Not always. If your AI tools are delivering measurable pipeline, you may not. If you are unsure whether they are – or adoption has stalled – that is exactly the gap we close. We work with what you have, and we are honest if what you have is already working.

The diagnostic sprint runs 2-4 weeks and ends with a prioritised action plan. For embedded sprints and campaign execution, most clients see measurable pipeline impact within 8-12 weeks.

Yes. We take no commission from software vendors. Every platform recommendation is based on what is right for your business and budget.