Use case 23 · Growth

B2B next-best-action sales

Turn fragmented account signals into prioritized opportunities, tailored outreach, and seller-ready action without removing relationship judgment.

Executive ownerChief Revenue Officer

Business valueMore qualified pipeline from existing customer relationships

Real-world evidence

A leading enterprise equipment manufacturer

Published by McKinsey

Unlocking profitable B2B growth through gen AI

McKinsey describes a lead-generation engine using customer, installation, and maintenance signals to prioritize aftermarket opportunities.

The published case reports pipeline growth from new and existing customers equal to more than 20% of total revenue.
The example is treated as evidence of a design pattern, not a promise that every deployment will reproduce the same result.

Read the original source Results are reported by the named organization or publisher. They are evidence of feasibility, not a forecast or guarantee for another business.

Workflow at a glance

See the orchestration path before exploring the operating detail.

This domain view shows where AI accelerates the work and where accountable human judgment remains in command.

B2B next-best-action sales orchestration flow from business signal through AI support, human review, action, and learning — B2B next-best-action sales: a clear operating sequence with human authority visible at the consequential gate.

The business problem

Orchestration redesigns the whole operating loop.

Sales teams lose opportunity when customer data, installed assets, maintenance cycles, and outreach history do not form one account picture.

A leading enterprise equipment manufacturer is a useful public proof point, but its reported result belongs to its own context. The transferable lesson is the operating pattern: an orchestration layer can identify a credible next action and prepare the seller without pretending the relationship can be automated end to end.

Infographic 01

Orchestration corridor

How the work moves from signal to accountable outcome.

Every step has a defined input, intelligence task, action, and handoff. This is what separates an operating system from an isolated prompt.

01
Frame the demand
Define the business signal, Account activity, installed base, service history, and engagement, and the decision or service outcome that matters.
02
Assemble context
Connect approved records, knowledge, and CRM, product, contract, and maintenance records before the model acts.
03
Coordinate the work
Use AI to predict opportunity, rank accounts, and draft personalized outreach, then route uncertainty to the accountable owner.
04
Execute with limits
Move the permitted task through existing systems while preserving seller approval and consent-aware communications.
05
Measure the result
Track qualified pipeline conversion, quality, exceptions, and the effect on the wider ecosystem.

Operating principle: the workflow may accelerate movement, but authority stays visible at every consequential gate.

Infographic 02

Ecosystem command map

The capability lives between systems, not inside one model.

The four quadrants show the assets that must be coordinated. Select any quadrant to emphasize its role in the operating system.

ORCHESTRATION B2B next-best-action sales Evidence · Rules · Action · Learning

Signals

What enters the system

Account activity, installed base, service history, and engagement
CRM, product, contract, and maintenance records
Outcome, urgency, and exception signals

Intelligence

What AI organizes

predict opportunity, rank accounts, and draft personalized outreach
Evidence retrieval and prioritization
Pattern, risk, and confidence analysis

Actions

What the workflow moves

Prepare the next best action
Route, draft, or update the authorized system
Escalate the consequential exception

Human command

Where authority remains

Business owner sets the objective
Subject-matter expert validates the decision
Risk and data owners monitor the boundary

The central layer does not replace the quadrants. It coordinates them around a measurable business outcome.

Infographic 03

Value and control instrument panel

Measure the business result and the integrity of the route.

The bars are not performance claims. They show the measurement sequence: establish the current baseline, agree a pilot threshold, and verify the observed result.

qualified pipeline conversion

Baseline the current qualified pipeline conversion and compare the assisted path with the existing process.

Establish baseline → set pilot threshold → verify outcome

Quality at handoff

Measure whether the human owner receives complete, relevant, and traceable context.

Establish baseline → set pilot threshold → verify outcome

Exception rate

Track uncertainty, rework, escalation, and failure by workflow segment.

Establish baseline → set pilot threshold → verify outcome

Business outcome

Connect the workflow change to more qualified pipeline from existing customer relationships, not just model activity.

Establish baseline → set pilot threshold → verify outcome

Scale only when value and control move together. A faster workflow that weakens accountability is not a strategic victory.

90-day implementation route

Move from reconnaissance to controlled scale.

Select a phase to inspect its executive decision gate.

Phase 1

Recon

Map the current b2b next-best-action sales workflow, owners, evidence, systems, and failure modes.

Executive owner: Chief Revenue Officer
Decision gate: Problem and baseline confirmed

Source and governance discipline

Evidence first. Claims qualified. Accountability designed in.

This operating play is an independent synthesis by Dr. Alejandro Canonero, DBA. It translates a documented implementation into a vendor-neutral business design and applies the War of the Ecosystems perspective. It does not imply endorsement by the source organization.

Deployment evidenceUnlocking profitable B2B growth through gen AI NIST AI Risk Management FrameworkA voluntary framework for governing, mapping, measuring, and managing artificial intelligence risk.ISO/IEC 42001 artificial intelligence management systemsAn international management-system standard for responsible development and use of artificial intelligence.

Executive working session

Apply this pattern to your growth workflow.

A focused diagnosis will map the current work, quantify the opportunity, define human command, and shape the first controlled pilot.

A leading enterprise equipment manufacturer

Unlocking profitable B2B growth through gen AI

See the orchestration path before exploring the operating detail.

Orchestration redesigns the whole operating loop.

How the work moves from signal to accountable outcome.

The capability lives between systems, not inside one model.

Signals

Intelligence

Actions

Human command

Measure the business result and the integrity of the route.

qualified pipeline conversion

Quality at handoff

Exception rate

Business outcome

Move from reconnaissance to controlled scale.

Recon

Pilot

Scale

Evidence first. Claims qualified. Accountability designed in.

Compare how orchestration changes across the ecosystem.

Apply this pattern to your growth workflow.