Use case

Monthly variance pack.

From the field, AI native workflow redesign of monthly close process within FP&A Finance function.

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Convolving expertise

A senior Convolving delivery team partnered with the FP&A function for one sprint. Operators from our expert network – with fifty combined years inside finance functions – reviewed the redesign at each checkpoint. Forward-deployed engineers built inside the team's existing ERP and BI stack. One flat fee, artifact out, no retainer creep.

Situation

Today the cycle runs five days from close to board-ready. Three analysts, one controller, and a CFO who reads the pack on a plane.

Data lands on day one. Variance commentary trickles in from cost-centre owners through the week. The analyst spends most of the cycle moving numbers between tools – the interrogation work that justifies the role sits in the last hour of a hundred-hour cycle.

Cycle time 5 days Close to board-ready
FTE load 2.5 Analysts on the cycle each month
Rework rate 12% Slides re-cut after CFO review
Time on data prep 80% Of analyst hours, not on analysis

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.

Two days to act on a five-day read-out.

Leadership reads the pack with two days left in the month. Most decisions slip into the next close.

Commentary quality varies by cost-centre.

Some owners explain the driver. Some restate the number. The CFO learns to discount the weak write-ups.

Four hours producing for every hour analysing.

Analysts spend the cycle moving data between tools. The work that justifies the role sits at the end.

Resolution

The AI-native cycle.

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

Cycle time 1 day ▼ 80% vs today
FTE load 0.5 ▼ 80% vs today
Rework rate 2% ▼ 83% vs today
Time on data prep 15% ▼ 65 points vs today
Key changes

What the redesign actually shifts.

Cycle compression

  • Five days to one day, close to board-ready.
  • GL pull, reconciliation, and variance compute run unattended overnight.
  • Commentary and deck draft surface on day one for the CFO.

Analyst time

  • Data prep drops from 80 percent to 15 percent of analyst hours.
  • The freed time goes to interrogation, not production.
  • FTE load on the cycle falls from 2.5 to 0.5.

Commentary quality

  • AI drafts anchor to the variance line and cite the source.
  • Cost-centre owners review in place rather than write from blank.
  • Style-guide edits feed back into the next cycle.

Audit and control

  • Every reconciliation match decision is logged.
  • GL extracts are hashed for lineage and replay.
  • CFO sign-off captures in one review queue, not an email chain.

Deploy this in your team.

The redesign above ships as a step-by-step playbook. Process map, prompt library, controls register, and the rollout cadence we use on engagements.

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