Insights & Updates

For industrial & MRO distributors weighing Proton.ai: what its own pages say it does, the four jobs its products cover, which alternatives cover each job by edition, the questions to ask any vendor, and when Proton.ai is the better choice.

For industrial & MRO distributors: a rule for who owns each account, the order to apply it in, what to do with house accounts, inside sales, a rep who leaves and a lead with no owner, and how Salesforce, Zoho, HubSpot, Dynamics 365 and Pipedrive handle territories, by edition.

For industrial & MRO distributors: which Sales Cloud edition includes territories, quotes and offline use, what Salesforce's own pages charge for Field Service and Revenue Cloud (its CPQ), what the sum leaves out, and a worked list-price example for a 12-rep distributor with a small service team.

For industrial & MRO distributors: what the published CRM failure rates measured, six reasons a rollout stalls after go-live, the early sign of each, what five CRM vendors say about adoption and onboarding on their own pages, and a 90-day plan with five numbers to watch.

For industrial & MRO distributors: the four ways a CRM can hold a customer that buys through several sites and departments, the five decisions to make before you build the structure, and what five CRM vendors say about account hierarchy on their own pages.

For industrial and MRO distributors: which records belong in the ERP and which in a CRM, what the CRM tools inside Prophet 21, NetSuite, Acumatica and Business Central cover according to their own vendors, when that is enough, and how to split the work if you run both.

What an industrial or MRO distributor should ask every CRM vendor, grouped by the way your business works: customers with departments, equipment on dates, territories, quotes, your ERP, access and hosting. Plus the red flags in a demo and the costs outside the licence.

A side-by-side for industrial and MRO distributors: how HubSpot and Zoho handle departments inside a customer, equipment on a service date, territories, quotes and your ERP, what 10 reps cost in year one, and a 30-minute test to run on any CRM.

A chatbot stapled to one fragmented app is a smart assistant that's blind to the rest of your business. Here are the three things a real AI-native system has that a bolt-on never will.

A per-tool AI assistant only sees its own app. The fix is not more assistants. It is a unified data layer that sits over your existing systems and reads across all of them.

Most automation plateaus because nothing learns from what happened after the action fired. The fix is a closed loop where humans approve at the right checkpoints and the system records every outcome.

Most lead scoring is a static rulebook that goes stale and reps quietly ignore. The fix is a closed loop that learns from what actually closes for your business.

For industrial firms, the most valuable knowledge lives in a few senior people and in documents nobody can search. Here is how to turn that risk into a layer.

Per-seat SaaS quietly becomes a tax on growth. Here is when a system built to your workflow beats a generic one, and why custom finally pencils out.

A look behind the curtain at how one engineer directing a fleet of AI agents ships custom platforms in weeks, and why that often lets us quote materially less than traditional firms.

A custom AI build is the wrong move for most problems. Here are the honest signals that tell you whether you need one, and when an off-the-shelf tool will do.