Use case

SDR prospecting and personalised outbound.

From the field, AI native workflow redesign of prospecting and outbound process within Inside sales and SDR Sales and marketing function.

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Convolving expertise

A senior Convolving delivery team partnered with the inside sales and SDR function for one sprint. Operators from our expert network – with forty combined years running outbound teams across software and industrial buyers – reviewed the redesign at each checkpoint. Forward-deployed engineers built inside the team's existing CRM and sales-engagement stack. One flat fee, artifact out, no retainer creep.

Situation

Today an SDR sends roughly fifty touches a day across four to six tools that do not share a record.

List-building, signal stitching, and CRM logging consume around seventy percent of the week. Personalisation at scale is structurally impossible by hand, so sequences default to generic templates and reply rates collapse below two percent. The ramp curve for a new hire stretches past four months before quota becomes plausible.

Time on selling 30% Of the working week, the rest is research and admin
Reply rate 1–2% On templated outbound sequences
Meetings booked / SDR 8–12 Per month at steady state
Ramp to quota 4 mo+ From start date to first quota-month

Click any node to see the activities and tools behind it. Open the canvas in fullscreen for the horizontal view.

Complication

Largest obstacles and inefficiencies.

Seventy percent of the week is not selling.

List-building, signal stitching, and admin consume the working day. The hour the rep is paid for sits at the end of it.

Personalisation collapses to templates.

Reply rates settle at one to two percent because the only sustainable touch is a generic one. Buyers learn to ignore the channel.

Signal lives in four to six disconnected tools.

LinkedIn, ZoomInfo, intent feeds, news, and the CRM never share a record. The stitching is the bottleneck before any outbound is sent.

Resolution

The AI-native cycle.

Same six steps. Click any node to see what the redesign does in that step.

Time on selling 65% ▲ 35 points vs today
Reply rate 5–8% ▲ 3–4× vs today
Meetings booked / SDR 25–35 ▲ ~3× vs today
Ramp to quota 6 wks ▼ 60% vs today
Key changes

What the redesign actually shifts.

Selling time

  • Time on selling moves from roughly 30 percent to 65 percent of the week.
  • Research, list-building, and CRM admin run in the background.
  • The rep arrives at the keyboard with a ranked list and a draft brief.

Reply quality

  • First touch anchors to a cited signal, not a template variable.
  • Reply rate moves from one-to-two percent into the five-to-eight percent band.
  • Meetings booked per SDR roughly triple at steady state.

Ramp and coaching

  • New-hire ramp compresses from four months to about six weeks.
  • Productivity lift is 14 percent across reps and 34 percent for novices, anchored to the Brynjolfsson, Li and Raymond field study.
  • Top-performer language flows into the prompt library and lifts the median.

Data discipline

  • Activity capture runs automatically against every contact record.
  • Reply, bounce, and meeting outcomes feed back into the targeting model.
  • AE handoff happens with a written brief rather than an oral one.

Deploy this in your team.

The redesign above ships as a step-by-step playbook. Process map, account-brief prompt library, sequence templates anchored to signal, activity-capture wiring, and the rollout cadence we use on engagements.

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