{"id":14277,"date":"2026-10-30T16:59:46","date_gmt":"2026-10-30T16:59:46","guid":{"rendered":"https:\/\/www.exporis.ch\/how-ai-generated-campaigns-are-challenging-brand-guidelines\/"},"modified":"2026-10-30T16:59:46","modified_gmt":"2026-10-30T16:59:46","slug":"how-ai-generated-campaigns-are-challenging-brand-guidelines","status":"publish","type":"post","link":"https:\/\/www.exporis.ch\/it\/how-ai-generated-campaigns-are-challenging-brand-guidelines\/","title":{"rendered":"How AI-Generated Campaigns Are Challenging Brand Guidelines"},"content":{"rendered":"

As marketing platforms begin generating and distributing campaign materials through AI agents, companies are encountering a new problem: their established brand rules describe what employees should produce, while software increasingly makes production decisions on their behalf.<\/span><\/p>\n

Salesforce’s Campaign Agent, introduced in October 2026, can use a company’s brand guidelines to generate marketing content, assemble campaigns and select communications for different customers. The software draws on customer data, campaign objectives and rules established by marketers, who determine how much of the process the agent can handle.<\/span><\/p>\n

Other capabilities in Salesforce’s latest release include generating personalised emails, selecting approved templates and coordinating communications across channels. Its Content Agent can produce text and images while allowing teams to review and approve material before publication.<\/span><\/p>\n

These developments place brand governance inside the systems responsible for running campaigns. A brand manual that previously helped designers, copywriters and agencies maintain consistency now has to provide instructions that software can interpret.<\/span><\/p>\n

A human designer can examine a visual reference and judge whether a new advertisement belongs to the same identity. A generative system requires access to approved assets, specific rules and examples that define the boundaries of acceptable output.<\/span><\/p>\n

The translation between those approaches is proving to be a new operational requirement for companies adopting AI-generated marketing.<\/span><\/p>\n

A Brand Manual Is Not a Production System<\/span><\/h2>\n

Traditional guidelines describe typography, colours, logos, imagery, layouts and tone of voice. They often contain examples of appropriate and inappropriate applications, supported by instructions for agencies and internal employees.<\/span><\/p>\n

These documents work best when experienced people interpret them within a particular context. A designer knows when a layout requires more space, while an editor can distinguish between a technical explanation and language intended for an advertising campaign.<\/span><\/p>\n

Generative AI tools can reproduce visible aspects of a brand while making less dependable decisions about the substance of a communication.<\/span><\/p>\n

A financial services provider may require precise descriptions of investment risks, product eligibility and regulatory status. An AI-generated advertisement can follow the approved colour palette and sentence length while introducing a performance claim that the institution has never authorised.<\/span><\/p>\n

The same problem arises in B2B technology. A manufacturer may have approved technical specifications and carefully defined product capabilities. Generative copy can introduce features that sound plausible but are absent from the actual product.<\/span><\/p>\n

Brand governance must therefore cover the information used to create marketing materials as well as their appearance.<\/span><\/p>\n

Salesforce has addressed part of this requirement by connecting its marketing agents to brand guidelines, campaign briefs and customer information. Its published release notes describe human review and approval of content generated by the Content Agent.<\/span><\/p>\n

The accuracy of the underlying material still depends on what the organisation provides and how its approval arrangements are configured.<\/span><\/p>\n

One Brand, Several AI Systems<\/span><\/h2>\n

Many organisations now use AI in more than one marketing application. A company can have an enterprise assistant for internal writing, a CRM platform generating customer emails, a design application producing visual assets and a marketing platform preparing campaign variations.<\/span><\/p>\n

Each system may receive a different version of the company’s guidance. Brand instructions stored in a presentation may not be available to a CRM agent, while approved product descriptions held in a content-management system may differ from those in a sales database.<\/span><\/p>\n

The problem becomes more pronounced when companies update their positioning or change their products.<\/span><\/p>\n

A business that revises its services needs to know which systems still contain earlier descriptions. Removing an outdated claim from the corporate website does not necessarily update the information already supplied to AI assistants, campaign templates or external agencies.<\/span><\/p>\n

Companies can reduce these inconsistencies by maintaining approved sources for product information, visual assets and communications rules, with responsibility assigned for updating them.<\/span><\/p>\n

Software providers are beginning to introduce features intended to connect these resources. Salesforce’s October release includes planning hierarchies and governance functions designed to align marketing campaigns with organisational objectives.<\/span><\/p>\n

The technical capabilities vary by platform, and companies still need to determine which records are authoritative when their systems contain conflicting information.<\/span><\/p>\n

Financial Brands Face a Higher Burden of Approval<\/span><\/h2>\n

Swiss financial institutions operate within an environment where marketing materials can carry legal and regulatory implications.<\/span><\/p>\n

A bank promoting investment services needs to ensure that descriptions of products, risks and potential returns meet applicable rules. Insurance companies have similar obligations when describing coverage, exclusions and eligibility. Corporate communications must also avoid disclosing confidential information or creating inaccurate expectations about the institution’s financial position.<\/span><\/p>\n

The Swiss Federal Data Protection and Information Commissioner has confirmed that the Federal Act on Data Protection applies to AI-supported processing. Its guidance emphasises transparency about processing purposes, functionality and data sources, together with the rights of people whose personal information is involved.<\/span><\/p>\n

These requirements affect personalised communications as well as the information used to prepare them.<\/span><\/p>\n

A marketing agent can draw on customer records to select an email, but the organisation must determine whether the information is appropriate for that purpose. Employees also need to understand which data the system can access and where outputs are stored.<\/span><\/p>\n

Financial organisations operating in European markets face additional requirements under the EU AI Act where its provisions apply. The legislation addresses AI literacy and transparency, including certain obligations relating to AI-generated or manipulated content.<\/span><\/p>\n

The applicable obligations depend on the system, its intended use and the nature of the material. Companies cannot assume that every AI-generated advertisement falls under the same transparency requirements.<\/span><\/p>\n

Approval Cannot End with the First Draft<\/span><\/h2>\n

Marketing automation already allows companies to publish approved content according to predefined schedules. AI agents extend this capability by selecting or generating variations in response to campaign data.<\/span><\/p>\n

A human editor can approve a base advertisement before publication, but an automated system might subsequently adjust the message, audience or timing. The company must decide which changes fall within the original approval and which require another review.<\/span><\/p>\n

Salesforce’s campaign tools allow marketers to define goals and configure the degree of agent autonomy. Organisations can use those controls to separate activities that the system may perform independently from decisions requiring authorisation.<\/span><\/p>\n

The boundaries need to reflect the risks involved. Selecting an approved email template carries different consequences from generating a new investment claim. Changing the time of a campaign differs from sending customer information to an audience for which consent has not been established.<\/span><\/p>\n

Marketing managers also need records of the decisions made by automated systems. When a customer challenges a communication, the organisation needs to establish which material was sent, which information informed its creation and whether it passed through the required approvals.<\/span><\/p>\n

Adobe’s October 2026 Journey Optimizer updates illustrate a more cautious division of responsibilities in some functions. Its Coworker interface can inspect campaign structures and execution logs through conversational commands, while creating, editing and publishing campaigns through those particular features are not yet supported.<\/span><\/p>\n

The distinction allows employees to use AI to understand what has happened before authorising the software to make changes.<\/span><\/p>\n

The Work of Brand Management Is Expanding<\/span><\/h2>\n

A corporate brand team has traditionally been responsible for positioning, identity, approved language and consistency across communications. Its work increasingly overlaps with data governance, system configuration and the design of automated processes.<\/span><\/p>\n

Brand managers need to specify which elements of an identity can be adapted, which statements require verification and how much variation is permitted between audiences and channels.<\/span><\/p>\n

An international B2B company may need several languages, locally adapted terminology and different product information for each market. Those variations should be drawn from approved sources rather than generated freely from a general instruction to match the brand’s voice.<\/span><\/p>\n

The same principle applies to visual material. AI can produce numerous images in a short period, but the output still requires checks for brand consistency, accuracy and the rights associated with any underlying assets.<\/span><\/p>\n

Marketing agencies face comparable responsibilities. An external partner working across several client accounts needs to preserve the boundaries between each customer’s information, approved materials and operational systems.<\/span><\/p>\n

The agency’s role extends into creating and maintaining the instructions and review procedures through which AI tools produce client communications. Companies commissioning such work need to establish who is authorised to change those instructions and who approves the resulting material.<\/span><\/p>\n

Brand guidelines remain the foundation of consistent communication, but their implementation is moving into software that can produce hundreds of variations without a separate human design decision for every item.<\/span><\/p>\n

The quality of those variations will depend on how precisely companies define their products, maintain approved information and control what their marketing systems are permitted to publish.<\/span><\/p>\n

<\/p>","protected":false},"excerpt":{"rendered":"

Companies\u2019 brand guidelines were written for employees, but AI now makes many of the creative decisions.<\/p>","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[117],"tags":[],"class_list":["post-14277","post","type-post","status-publish","format-standard","hentry","category-content-marketing"],"yoast_head":"\nHow AI-Generated Campaigns Are Challenging Brand Guidelines<\/title>\n<meta name=\"description\" content=\"Companies\u2019 brand guidelines were written for employees, but AI now makes many of the creative decisions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.exporis.ch\/it\/how-ai-generated-campaigns-are-challenging-brand-guidelines\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" 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