In finance, end-to-end processes are well established.
Purchase-to-Pay, Order-to-Cash and Record-to-Report give organisations a common structure for organising hundreds of underlying processes. They help teams look beyond individual departments and systems and understand how activities connect to deliver a business outcome.
In marketing and sales, this way of thinking is much less common.
We have funnels, customer journeys, lifecycle models and CRM processes. All are useful, but they serve a different purpose. A sales funnel follows the development of commercial opportunities. A customer journey looks at interactions from the customer's perspective. Neither is primarily designed as an end-to-end process architecture for the commercial organisation.
This becomes increasingly relevant as organisations look to improve marketing and sales processes with AI.
If AI opportunities are identified by department or individual process, the result can quickly become a collection of disconnected use cases. An end-to-end process framework provides a common structure within which those opportunities can first be positioned and compared.
From sales funnel to end-to-end process architecture
The idea is inspired by end-to-end process models commonly used in process management and process intelligence.
An end-to-end process starts with a recognisable business trigger or objective and ends with a business outcome. Within it, there can be dozens or hundreds of detailed processes, systems, roles and decisions.
For B2B financial services, a commercial process architecture could look like this:
This is not an industry standard, nor a proposal that every organisation should structure its operations exactly this way. It is an example of how the commercial domain can be modelled as a connected system of end-to-end processes.
1. Market-to-Segment
Objective: determine which parts of the business market the organisation wants to serve.
This includes processes such as market and industry analysis, segmentation, potential analysis and proposition development.
Segments can be defined by industry, company size, revenue, number of employees, growth, real estate ownership, vehicle fleet, international activities, financing needs or risk profile.
Output: target segments, industry profiles, propositions, priorities and channel strategy.
2. Segment-to-Account Strategy
Objective: translate segment choices into specific accounts, portfolios and relationships.
Underlying processes can include account selection, prospect enrichment, potential analysis, stakeholder mapping and account planning.
For a business customer, the relevant network may include not only the owner or CEO, but also a CFO, controller, HR manager, accountant or real estate advisor.
Output: account plans, potential matrices, stakeholder maps and contact priorities.
3. Campaign / Network-to-Lead
Objective: create or identify relevant business leads.
These may originate from campaigns, events and webinars, but also from business networks, accountants, existing customers, service interactions or changes within a company.
Workforce growth, for example, may trigger a conversation about absence management or pensions. A new investment may create both financing and insurance needs.
Output: a registered lead with a reason for contact, area of interest, customer context and source.
4. Lead-to-Qualified Business Need
Objective: determine the actual business need behind a lead.
This includes establishing the reason for contact, urgency, business context, decision-makers, existing products and required type of service.
The purchase of new business premises, for example, could lead to a commercial mortgage, property insurance and a broader risk review.
Output: a qualified advisory, financing, service or risk-management case.
5. Business Need-to-Risk & Financial Profile
Objective: translate the company's situation into a substantiated risk and financial profile.
Underlying processes may include risk assessment, document collection, policy and contract analysis, financial statement analysis, cash-flow analysis, coverage analysis and scenario analysis.
Depending on the case, the assessment may cover employees, real estate, machinery, inventory, vehicle fleets, liability, cyber risk, financing, insurance, cash flow and collateral.
Output: risk and financial profile, gap analysis and advisory priorities.
6. Profile-to-Advisory Proposal
Objective: translate the profile into a concrete advisory proposal.
This may cover commercial insurance, risk management, pensions and income protection, working capital, investment financing, commercial mortgages or banking products.
Underlying activities include solution design, product comparison, analysis of pricing, interest rates and terms, preventive measures, and preparing and discussing the advice.
Output: advisory report, insurance or financing proposal and documented customer decision.
7. Proposal-to-Application / Placement
Objective: convert an accepted proposal into a complete application or placement.
For insurance, this may involve application and underwriting. Financing may require credit assessment and collateral. A commercial mortgage can involve valuation and notarial processes.
Output: accepted application, acceptance conditions or a trigger for revised advice.
8. Application-to-Policy / Loan / Banking Product
Objective: turn an accepted application into an operational product.
This includes contract verification, administrative registration, document storage, billing or collection, and establishing future review dates.
Output: an active policy, loan or banking product and a complete customer file.
9. Onboard-to-Operational Use
Objective: ensure that the solution becomes part of the customer's actual business operations.
This can include explaining products and conditions, preventive requirements, reporting obligations, service arrangements, contact persons and future review moments.
Output: an informed customer with clear agreements and actions.
10. Service-to-Retention
Objective: manage and retain active customer relationships.
This end-to-end process can itself contain recognisable process families such as:
Mutation-to-Policy Change
Claim-to-Resolution
Question-to-Answer
Renewal-to-Continuation
Complaint-to-Resolution
Arrears-to-Recovery
Document-to-Dossier Update
Output: resolved service requests, current customer files and retained relationships.
11. Business Event-to-Review
Objective: translate changes within a company into a potential need for reassessment.
Relevant events could include a new location, workforce growth, the purchase of real estate, expansion of a vehicle fleet, investment in machinery, an acquisition, a cyber incident, liquidity pressure or regulatory change.
Output: a review case and, where necessary, an updated risk or financial profile.
12. Review-to-Expansion
Objective: determine through a review whether additional services can create customer value.
An insurance customer may develop a financing need. A growing employer may require pension or income-protection solutions. The purchase of commercial property may create both financing and insurance requirements.
Output: additional advice, products or services and increased customer value.
13. Insight-to-Improvement
Objective: use information from across the commercial chain to improve how the organisation operates.
This can include analysis of segment conversion, lead quality, win/loss rates, cycle times, underwriting, claims, retention, product penetration, file quality and compliance.
Output: improvements in processes, propositions, segmentation, training and technology.
This closes the loop back to Market-to-Segment and Account Strategy.
The value is in the structure
The interesting part of such a model is not whether every process name is exactly right.
Its value lies in the level of abstraction.
Under Lead-to-Qualified Business Need, for example, an organisation may have several different intake processes. Business Need-to-Risk & Financial Profile may contain dozens of detailed processes for document collection, risk assessment and financial analysis. Service-to-Retention may contain complete process families for claims, policy changes, questions and renewals.
The end-to-end framework gives these detailed processes a place within a larger commercial system.
It also provides a different starting point for exploring AI.
Instead of beginning an organisation-wide exercise with “Which AI use cases can we think of?”, teams can work through the end-to-end process architecture and ask for each process:
What business value should this process create? How does it perform today? Which decisions, information and activities determine that performance? And where could AI, automation, analytics or process redesign improve it?
This creates a way to connect potential AI initiatives to the commercial processes and business outcomes they are intended to improve.
Finance has long used concepts such as Purchase-to-Pay, Order-to-Cash and Record-to-Report to create a common language for complex operations.
Marketing and sales could benefit from a similar process structure.
The framework above is one possible example for B2B financial services. Not as a definitive standard, but as a starting point for mapping the commercial organisation at an end-to-end level — and from there examining its detailed processes and opportunities for AI-enabled improvement.