How to Get Sales Managers to Reinforce CRM Adoption
Every CRM programme reports that the sales managers are bought in. They attended the briefings, they said supportive things in the kick-off, and none of them has objected. And every Monday, the pipeline review runs off a spreadsheet that a sales operations analyst prepares by exporting from the CRM and cleaning it up by hand. […]
Read articlePipeline Hygiene After CRM Go-Live: The Adoption Metrics That Matter
Twelve weeks after go-live the CRM adoption dashboard reads well. Weekly active users at 94 per cent. Records created up. Training completion closed out at 98 per cent. In the same twelve weeks, the sales director has continued to build the forecast from her own spreadsheet, because the pipeline in the system is not something […]
Read articleWhy Sales Teams Don’t Update the CRM — and What It Costs
Ask a sales team why the CRM is not up to date and you will get answers about time. It takes too long, the forms are fiddly, there are too many required fields, it is easier on a laptop and they are in the car. All of that is true and none of it is […]
Read articleCRM Adoption Is a Sales Behaviour Problem, Not a System Problem
The CRM has been reconfigured three times. The forms are shorter, the required fields have been cut to four, mobile access works, and a consultant has simplified the opportunity stages twice. Adoption has not moved. The forecast is still assembled from a spreadsheet the sales director maintains himself, and the pipeline in the system is […]
Read articleAgentic AI in the Workplace: The Readiness Questions Nobody Is Asking
A copilot writes a reply and you decide whether to send it. An agent sends it. That is the whole difference, and it is not a difference of degree. Every readiness question changes when the system acts rather than suggests, because the review step — the thing quietly carrying all the risk in current AI […]
Read articleAI Governance and Adoption: Why Policy Without Capability Fails
The AI policy is fourteen pages. It was drafted by legal, reviewed by risk, approved by the executive committee and published to the intranet with a mandatory read-and-acknowledge. Ninety-four per cent of staff have acknowledged it. Roughly none could tell you what it permits them to do with a customer email, which is the only […]
Read articleJob Displacement Fear: How to Talk About AI Without Losing Trust
Every AI town hall contains the same sentence. This is about augmenting our people, not replacing them. It is usually sincere. It is also, to a room that has been reading the same headlines as everyone else, unverifiable — and the people saying it rarely have the authority to guarantee it eighteen months out. What […]
Read articleWhy AI Pilots Succeed and AI Rollouts Fail
The pilot was a clear success. Twelve people in one team, six weeks, a 40 per cent reduction in drafting time and enthusiastic feedback. The business case was approved on the strength of it. Nine months later the same capability is available to 1,400 people, adoption has plateaued somewhere around a third, and nobody can […]
Read articleHow to Measure AI Adoption When Usage Data Flatters You
The AI adoption dashboard says 78 per cent weekly active users, up from 41 per cent. Licences are being consumed. The rollout is, by every number on the slide, a success. Then someone asks what it bought, and the room goes quiet — because the honest answer is that nobody knows, and the metric that […]
Read articleAI Literacy Is Not Prompt Training: What Employees Actually Need
The prompt engineering workshop went well. Ninety minutes, good attendance, people left with a one-page cheat sheet of patterns — give it a role, give it context, ask for a specific format, iterate. Six weeks later, usage has not moved in any function that matters, two people have pasted customer data into a consumer tool, […]
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