Sales Operating Models
How to structure targeting, engagement, deal progression, governance and scale.
Frameworks and field notes on sales operating models, enterprise AI readiness and revenue capability — built for leaders who need structure before scale.
Three clusters connect SIRTIKA research to the operating pages where action happens.
Revenue engine, pipeline discipline, forecasting, governance and predictable B2B growth.
Explore ↗AI foundations, use-case prioritisation, sequencing and vendor-neutral roadmap decisions.
Explore ↗B2B sales readiness, interview preparation, AI coaching and capability assessment.
Explore ↗The Insights library connects strategic questions to operating decisions across revenue architecture, enterprise AI and revenue capability.
How to structure targeting, engagement, deal progression, governance and scale.
How to assess foundations, prioritise use cases and sequence an AI roadmap.
How to assess practical sales readiness, prepare for interviews and strengthen customer-facing capability.
Every article is designed to answer a practical leadership question and connect it to the relevant operating decision.
Ten practical guides designed to connect strategic questions to operating decisions.
Understand what a Sales Operating Model is, what it should contain, and how it helps B2B companies create a more predictable, governable revenue engine.
Read insight →Sales Operating ModelA practical framework for building a predictable B2B sales engine across targeting, engagement, deal progression, governance and scale.
Read insight →Sales Operating ModelTen practical warning signs that a B2B sales engine lacks structure, adoption or governance, plus what leaders should diagnose first.
Read insight →Sales Operating ModelLearn the difference between a sales process and a Sales Operating Model, and why scaling B2B companies need both.
Read insight →Enterprise AIEnterprise AI readiness is the organisation’s ability to select, govern and execute AI initiatives responsibly. Learn what leaders should assess before investing.
Read insight →Enterprise AIA practical framework for prioritising enterprise AI use cases by business value, feasibility, data, risk, adoption and strategic fit.
Read insight →Enterprise AIBuild an enterprise AI roadmap by assessing readiness, prioritising use cases, sequencing dependencies and defining governance before implementation.
Read insight →Revenue CapabilityA practical approach to assessing whether a sales team can engage customers, articulate value, handle objections and manage pipeline with confidence.
Read insight →Revenue CapabilityA practical preparation guide for freshers and early-career candidates facing their first sales or business development interview.
Read insight →Revenue CapabilityRevenue ready means being able to contribute to customer conversations and revenue work with practical business, customer and sales capability—not just theoretical knowledge.
Read insight →Build a structured, governable revenue engine across targeting, engagement, deal progression, management cadence and scale.
Explore SOM Hub →Understand what a Sales Operating Model is, what it should contain, and how it helps B2B companies create a more predictable, governable revenue engine.
Read insight →Sales Operating ModelA practical framework for building a predictable B2B sales engine across targeting, engagement, deal progression, governance and scale.
Read insight →Sales Operating ModelTen practical warning signs that a B2B sales engine lacks structure, adoption or governance, plus what leaders should diagnose first.
Read insight →Sales Operating ModelLearn the difference between a sales process and a Sales Operating Model, and why scaling B2B companies need both.
Read insight →Make better enterprise AI decisions through readiness assessment, use-case prioritisation and sequenced roadmaps.
Explore AI Blueprint →Enterprise AI readiness is the organisation’s ability to select, govern and execute AI initiatives responsibly. Learn what leaders should assess before investing.
Read insight →Enterprise AIA practical framework for prioritising enterprise AI use cases by business value, feasibility, data, risk, adoption and strategic fit.
Read insight →Enterprise AIBuild an enterprise AI roadmap by assessing readiness, prioritising use cases, sequencing dependencies and defining governance before implementation.
Read insight →Build and assess practical customer, value, interview and pipeline capability for individuals and sales teams.
Explore Learning →A practical approach to assessing whether a sales team can engage customers, articulate value, handle objections and manage pipeline with confidence.
Read insight →Revenue CapabilityA practical preparation guide for freshers and early-career candidates facing their first sales or business development interview.
Read insight →Revenue CapabilityRevenue ready means being able to contribute to customer conversations and revenue work with practical business, customer and sales capability—not just theoretical knowledge.
Read insight →