Service

Turn customer data into predictable revenue

Intelligent and agentic AI workflows connect signals across channels, surface what matters, and trigger the next best action. You get serious analytics and automation without hiring a floor of data scientists or matching an IKEA-scale budget.

Customer Amy with connected signals: email engagement, site behaviour, CRM stage, risk, and next best action.Stylised diagram of a customer profile card linked by glowing lines to signal labels and a small trend chart.AmyVP OperationsNorthline FreightUnified ID · B2BLast touch · Webinar signupIntent scoreEmail opens · 12 (rolling 30d)Pricing visits · 3 sessionsAvg session · 6m 12s (site + product)CRM stage · EvaluationChurn risk · Low (model confidence 0.91)Engagement trend (weekly)
Example customer Amy with live signals from email, web sessions, CRM, and risk scoring, plus an engagement trend.

Why mid-market teams invest now

The cost of operating blindly

  • Revenue left on the table when hot leads cool off before anyone notices.
  • Churn that looks sudden in hindsight but was visible in behaviour weeks earlier.
  • Marketing and sales still aligned to averages, not to who is actually ready to act.

What agentic AI workflows change

We design workflows that deploy in weeks, not quarters: models and tools wired to your CRM, product analytics, and messaging stack, with clear hand-offs when a human should own the moment. You see ROI in pipeline velocity, retention, and time back for your team, without standing up a massive internal ML org.

Core workflows built for outcomes

Each use case is implemented as an intelligent, agentic workflow: durable context, tool calls where systems need updating, and decisions before a customer ever sees a generic message.

Predictive buying and renewals

Surface who is ready to buy, upgrade, or walk away, using behaviour and engagement signals your team already has. Prioritise revenue actions before the quarter slips.

AI-powered session insight

Review journeys at scale: spot where people stall, rage-click, or abandon, and prioritise fixes that move conversion instead of drowning in raw replay footage.

Customer intelligence and marketing

Replace guesswork with segments and narratives grounded in data. Shape campaigns and offers around real intent, not generic personas.

Smart automation

Trigger follow-ups, nudges, and hand-offs that feel one-to-one because they are driven by live signals, not static email blasts.

What you actually get

Faster conversions from clearer priorities, customers retained because risk shows up early, and hours returned to your team because workflows carry the repetitive signal-to-action loop. That is the business case for intelligent analytics and agentic automation at a scale that fits your budget.

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