What an Omnichannel operating model looks like in pharma, and why programs stall without one

Over the past decade most pharma companies have built the parts of Omnichannel engagement. They have the channels, the platforms, the content and, increasingly, the AI tools. Many have run successful pilots. Far fewer have reached the point where coordinated engagement is simply how a brand team, a field team and a medical team work, every cycle, in every market.

I have watched this from both sides, first while building global engagement functions inside large pharma companies and later as an adviser to affiliates and regional offices. The pattern repeats. The strategy is sound. The technology works. The pilot succeeds. Then the program is asked to scale, and it stalls. What was missing was an operating model, and this article sets out what that means in practice.

What is an Omnichannel operating model?

An operating model is the answer to a practical question. When an HCP needs something from the company, who decides what happens, with what information, through which routine, and how does anyone know it worked? An Omnichannel operating model answers that question for coordinated engagement across field, remote and digital channels, and across the commercial and medical teams that share the same HCPs.

It is different from a strategy, which says what the company wants to achieve and where. It is different from a technology architecture, which says which systems hold which data. The operating model sits between the two. It is the set of roles, decision rights, planning and review routines, content and data flows, and ways of working that turn the strategy into daily practice using the technology available.

Most companies have an operating model for Omnichannel engagement whether they designed one or not. The question is whether it was designed, or whether it grew out of the old multichannel model with a few new roles added at the edge.

Why do Omnichannel and AI programs stall between pilot and scale?

A pilot is a protected environment. It usually has a dedicated team, a sponsor who clears obstacles, a vendor on call and a brand team that volunteered. Data problems are fixed by hand. Content is produced on request. Reviews happen quickly because everyone involved wants the pilot to work. Under those conditions, most pilots succeed.

Scale removes every one of those conditions. The dedicated team becomes a shared service. The sponsor moves on. The volunteers are replaced by teams who were told to adopt the new way. Data problems that were fixed by hand now occur in thirty markets. Content requests queue behind every other brand. Review cycles return to normal length. The program did not become worse. The exceptions it ran on were withdrawn.

This is why so many AI investments in commercial pharma show a return in the pilot and none afterwards. The model that produced a good suggestion in one market cannot produce value in thirty unless the organization in those thirty markets is arranged to act on it. That arrangement is the operating model, and it is the part that pilots never test.

What has to be settled in an Omnichannel operating model?

Six elements come up in every program I have seen reach scale. They are not a sequence, and most companies have some of them in place. The gaps are usually in the connections between them. The table shows what each one looks like from the HCP's side when it has not been settled, which is usually how leadership first notices it.

A company can buy technology for the fourth and fifth elements. It cannot buy the other four, and it cannot make the fourth and fifth work without them.

Where does AI change the operating model?

AI does not remove the need for an operating model. It raises the cost of not having one. A generative tool that produces content at volume exposes a review process built for a few assets a month. A Next Best Action engine that produces suggestions for every HCP exposes a field model that measures calls per day. An insight tool that summarizes thousands of interactions exposes the absence of anyone whose role is to act on insight.

In each case the technology works and the organization does not use it. The response I see most often is to add another tool. The response that works is to change the decision rights, routines and roles so that the tool has somewhere to land. This is the argument of my book, The Omnichannel Operating Model, and it is the reason the book spends more time on governance, roles and measurement than on technology.

How should commercial and medical teams work together in the model?

The hardest design decision is also the one most often avoided. Commercial and Medical Affairs engage the same HCPs, through overlapping channels, under different rules. An operating model that ignores Medical produces an HCP experience that is coordinated on the commercial side and fragmented overall. One that merges the two creates compliance risk.

The companies that handle this well make the boundary explicit. They decide, with Legal and Compliance, which HCP information is shared and which is not, which planning is joint and which is separate, and how a scientific question raised in a commercial channel is handed over. Then they write it down and train both teams on it. The boundary is a design choice, and leaving it undesigned is the riskiest option of all.

Which roles change in an Omnichannel operating model?

An operating model is visible in job descriptions before it is visible in results. Four changes appear in most companies that reach scale. The brand manager becomes the owner of one customer plan across channels, rather than the owner of a marketing plan that sits beside a field plan. Someone owns orchestration, meaning the rules and routines that decide which interaction follows which, whether that person sits in marketing, commercial excellence or a dedicated engagement team. Content operations becomes a function with its own capacity and measures, because coordinated engagement consumes content faster than campaign marketing ever did. And the field role changes from a visit quota to a hybrid role that plans in-person, remote and digital interactions together for the same HCPs.

None of these roles requires a reorganization to begin. They require a decision about who holds them, what they are measured on and what they can decide without asking. Companies that make those decisions explicit find that the existing structure can carry the model further than they expected.

How does the model differ between large and small affiliates?

It differs in who holds the roles, and it should not differ in what gets decided. A large affiliate may have a dedicated orchestration lead, a content operations team and an analytics function. A small affiliate may have one person covering all three alongside a brand. The planning routine, the decision rights and the measures can still be the same, scaled to the market. The error is to give small affiliates a lighter version of the model that leaves out the routines, because the routines are what make it work. The right adaptation is fewer brands and segments in scope, with the full model applied to them.

How do you know the operating model is working?

An operating model is working when coordinated engagement happens without exceptions. Some practical tests are useful.

• Plans change within the cycle. If a review in month two leads to a change in effort by month three, the routines are live. If every review produces a report and no change, they are not.
• New people can run it. When a brand manager or a representative changes, the model continues. If it depends on the person who built it, it is a project.
• The field asks for the next suggestion. Adoption shows in demand. Representatives who find suggestions useful ask why there are not more of them.
• Content keeps up. The time from an identified need to approved, tagged content is measured in weeks and is falling.
• Medical is in the room. Journeys that touch scientific exchange were reviewed with Medical before launch, and nobody is surprised afterwards.
• Leadership asks a different question. The budget conversation moves from defending channel spend to deciding where effort should go next.

What are the common mistakes in operating model design?

The first mistake is to design the model centrally and deliver it to affiliates as a playbook. Affiliates differ in size, data, regulation and HCP expectations. A model that assumes a global average fits nobody. The models that travel are designed with affiliate input and leave room for local adaptation inside clear boundaries.

The second is to reorganize before the routines exist. Moving people into cross-functional teams without a shared planning calendar, shared measures and clear decision rights produces the same silos inside a new structure. Routines first, then structure, is usually the safer order.

The third is to treat the operating model as a one-time design. Markets, channels and tools change every year. The model needs an owner and a review of its own, in the same way that a brand plan does.

Where should a pharma company start?

Start with one honest review of the six elements for one brand and one market, with the people who do the work as well as the people who manage it. The review usually takes a few weeks and produces a short list of the connections that are missing. Then fix the connections before adding technology, and test the result in the same market through one full planning cycle.

This is slower than buying a platform and faster than the three years many companies spend learning the same lesson one pilot at a time.