Use case

CRM hygiene, call capture and seller coaching.

From the field, AI native workflow redesign of crm hygiene and coaching loop process within Sales operations, enablement and field Sales and marketing function.

Get the playbook
Convolving expertise

A senior Convolving delivery team partnered with the sales operations, enablement and field function for one sprint. Operators from our expert network – with fifty-five combined years running enablement and field-sales teams – reviewed the redesign at each checkpoint. Forward-deployed engineers built inside the team's existing CRM, conversation-intelligence, and learning stack. One flat fee, artifact out, no retainer creep.

Situation

Today the seller's most-time-consuming task is logging the call they just finished.

Sixty-eight percent of reps name note-taking and CRM entry their largest time sink and forty-three percent spend ten to twenty hours a week on admin. The data the rest of the function depends on – forecast, comp, attribution – is the data sellers skip when the day runs long. Coaching reaches the top quartile and diagnoses the rest only when they miss quota.

Admin hours / week 10–20 Per rep on note-taking and CRM entry
CRM coverage ~50% Of meetings logged with substantive notes
Coaching coverage Top quartile Of reps reviewed in any given month
Meeting prep time 30–60 min Per discovery call, rebuilt by hand each time

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.

Reps lose ten to twenty hours a week to admin.

Sixty-eight percent of reps name CRM entry their largest time sink. The data the rest of the function depends on is the data they skip first.

Coaching reaches the top quartile only.

Managers cannot read every email and call across hundreds of opportunities. The middle of the bell curve is diagnosed when they miss quota, not before.

Meeting prep is rebuilt from scratch each time.

The same news, account history, and prior-call notes get re-assembled by hand for every call, producing inconsistent discovery and weak handoffs.

Resolution

The AI-native cycle.

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

Admin hours / week 2–4 ▼ ~75% vs today
CRM coverage 100% ▲ ~50 points vs today
Coaching coverage Every call ▲ from top-quartile sample
Meeting prep time 5 min ▼ ~90% vs today
Key changes

What the redesign actually shifts.

Seller time

  • Admin hours per week drop from the ten-to-twenty range to two-to-four.
  • CRM coverage moves from roughly half of meetings to one hundred percent.
  • The seller is in the conversation rather than at the notepad.

Coaching coverage

  • Coaching moves from a top-quartile sample to every call.
  • Manager hours go to the two coachable moments per rep, not the search for them.
  • The middle of the bell curve gets diagnosed before the quota miss, not after.

Meeting quality

  • Discovery questions arrive in the calendar invite five minutes before the call.
  • Handoffs land in writing with hook, history, and open questions tagged.
  • Prep time per call falls from thirty-to-sixty minutes to about five.

Enablement loop

  • Micro-learning targets the gap surfaced in the rep's own calls.
  • Top-performer language flows from live calls back into the curriculum.
  • Behaviour change measures in the next call, not on a completion certificate.

Deploy this in your team.

The redesign above ships as a step-by-step playbook. Process map, call-capture wiring, coaching rubric, micro-learning prompt set, and the rollout cadence we use on engagements.