Perspectives on data, automation and customer experience.
Notes from our delivery teams on CRM, automation and analytics practice, updated as the work evolves.
Why a single customer record beats another point solution
Fragmented tools create fragmented customers. A look at what it actually takes to unify service, sales and marketing data.
RPA is not a replacement for process design
Automating a broken workflow just makes it fail faster. How we scope process redesign before a single robot ships.
Churn models only work if someone acts on them
A predictive score nobody reads is dead weight. Designing analytics around the workflow that consumes them.
The real cost of "just add a field" in enterprise CRM
Schema sprawl is the quiet killer of every CRM rollout. A framework for saying no to ungoverned customization.
What B2B buyers actually mean when they ask for "AI"
Behind most requests is a narrower, solvable need. Translating ambition into a scoped analytics or automation project.
Human-in-the-loop: designing exceptions, not just the happy path
The failure mode of most automation projects is the 10% that does not fit the rule. How we design for it up front.
Data governance is a delivery risk, not a compliance checkbox
Poor lineage and ownership derail more analytics projects than bad models do. Where governance should sit in the roadmap.
Migrating CRM without losing a quarter of pipeline visibility
A practical sequencing for CRM migrations that keeps sales teams working through the cutover, not around it.