Campaign orchestration
Plan and coordinate the campaign end to end
Plans and coordinates multi-channel campaigns from brief to launch under policy.
Auto Marketing runs marketing operations end to end. AI Employees plan and orchestrate campaigns, produce on-brand content, build audiences, execute across channels, and close the loop on performance. Marketers stop assembling campaigns by hand and start governing the operation and the brand.
Turn one brief into coordinated content, audiences, execution, and learning.
Attribution closes the loop and feeds the next campaign.
Legacy marketing tools give you a campaign builder and a send button, then wait for a team to produce content, build lists, and stitch channels together. Auto Marketing runs the operation and keeps every asset on brand.
Auto Marketing decomposes marketing operations into the components a marketing team actually runs, each executed by governed AI Employees against a living audience and brand graph.
Campaigns are planned, paced, and coordinated across teams and channels so the operation keeps moving from brief to launch.
Plans and coordinates multi-channel campaigns from brief to launch under policy.
Manages the marketing calendar and cross-team workflow so nothing stalls.
Tracks spend and pacing against plan and flags drift as it happens.
On-brand content is generated, localized, versioned and audited against brand policy before it ships.
Produces on-brand copy and creative variants for every channel from the campaign plan.
Audits every asset against brand voice and policy before it ships, catching off-brand output.
Localizes content across markets and versions assets so the right approved version is always used.
The right audience, the right channel, with live behaviour shaping segmentation and lead action.
Builds and refreshes segments from live behaviour held in the audience graph.
Executes across email, web, social, and paid from one operation, not brittle hand-offs.
Scores and routes leads to sales while personalizing message and offer per segment from the graph.
Performance, attribution, consent and exceptions are governed as one closed-loop marketing operation.
Closes the loop on performance and attribution and feeds insight into the next campaign.
Marketing authors brand, consent, and approval rules in plain language; they take effect deterministically.
Approvals and edge cases arrive in the Auto Workbench with context and the applied policy for one decision.
The brief becomes a campaign, the campaign becomes content, content reaches live audiences, channels execute, and performance changes what happens next.
Turn a plain-language brief into a structured, channel-mapped campaign plan.
Produce on-brand content variants, localize them, and audit every asset.
Build and refresh live segments from behaviour in the audience graph.
Run email, web, social, and paid from one coordinated operation.
Close the loop on performance and attribution, then feed the next campaign.
Each campaign makes the operation better: audiences, behaviour, brand rules, and campaign performance deepen the Auto Graph and sharpen the next cycle.
Campaigns are planned and coordinated from brief to launch across every channel under policy.
On-brand copy and creative variants are produced for every channel from the campaign plan.
Every asset is audited against brand voice and policy before it ships.
Content is localized across markets while brand and message stay consistent.
Segments are built and refreshed from live behaviour held in the audience graph.
Leads are scored and routed to sales under policy so none fall through.
Performance and attribution close the loop and feed the next campaign.
Consent, suppression, and channel policy are enforced on every send.
Auto Policies set the boundary, AI Employees act, humans resolve exceptions in the Auto Workbench, and every resolution deepens the Auto Graph.
Multi-agentic marketing workers plan, create, target, and measure across the martech stack, escalating only approvals and brand exceptions.
Brand, consent, and approval rules are authored in plain language and enforced deterministically before an asset ships or a send goes out.
Approvals and brand exceptions arrive with context and the applied policy. The marketer decides once; the resolution trains the next campaign.
Audiences, behaviour, brand rules, and campaign performance become a living per-tenant graph that sharpens targeting and content every cycle.
Supervity AI Employees run campaign orchestration, on-brand content production, and audience execution across channels, auditing every asset against brand policy before it ships. Marketers move from manual assembly to governing the operation and the brand.
Auto Marketing is deployed against a committed path to AI-first operations. Supervity keeps working at no additional cost until the milestone is reached.
AI-first operations target.
AI-first operations target.
AI-first operations target.
Milestones are scoped per deal during FDE baseline scoping and subject to commercial agreement. The remedy is extended engagement at no additional cost, not a refund.
See Auto Marketing run campaigns against your own brand and channels in an FDE baseline scoping session.