The Challenge
A VP of Marketing at a large enterprise had a known problem: marketing leads weren't converting to sales. Shadowing the team for a week revealed the real bottleneck — campaign briefs took 8 hours to build and competitive intelligence took another 5 hours per campaign, consuming so much capacity that marketers had no bandwidth for creative work. Taking a single campaign from ideation to live took three months.
What They Built
Ashley built a hybrid solution using an Azure AI agent surfaced through Microsoft Teams, triggered by Power Automate when a campaign brief was submitted, to perform competitive intelligence, generate V1 copy assets, and auto-route JIRA tickets to creative, web, and video teams.
Ashley began by diagnosing the real bottleneck: shadowing the marketing team revealed that campaign briefs took 8 hours to build and competitive intelligence took another 5 hours per campaign — leaving no capacity for creative work. Rather than building a standalone AI tool, the solution was designed entirely within the client's existing Microsoft ecosystem to avoid platform-switching friction.
A Power Automate trigger fired the moment a campaign brief was submitted, automatically searching SharePoint for historical win/loss data and competitive correlations relevant to the campaign. An Azure AI agent — surfaced through Microsoft Teams and designed to appear as a familiar colleague rather than a new AI interface — then performed competitive intelligence research, pulled analyst quotes, and generated V1 copy assets across email, advertising, white papers, and infographics. JIRA tickets were auto-created and routed to the appropriate creative, web, and video teams, replacing manual handoffs. An unexpected benefit emerged: with administrative time eliminated, marketing teams gained hours to consult product and engineering — perspectives previously cut due to deadlines — improving cross-functional campaign quality beyond what the efficiency gains alone delivered.
AI Role
In Ashley's prior in-house role, rolling out AI-enabled workflows across marketing, sales, and product enabled the organization to overachieve its revenue target by $25 million — the proof case that launched her consultancy.
Infrastructure
• Microsoft Azure AI (AI agent infrastructure) • Microsoft Power Automate (workflow trigger and automation layer) • SharePoint (win/loss data and competitive intelligence storage) • Microsoft Teams (AI agent interface, disguised as a colleague) • JIRA (ticket creation and creative team routing)
Integration Points
• Power Automate trigger connected to campaign brief submission workflow • SharePoint data queried by automation for relevant historical win/loss records • Azure AI agent integrated into Teams as a conversational interface • AI agent outputs (copy assets, competitive intel) flowing into JIRA for auto-routing • JIRA tickets auto-assigned to creative, web, and video production queues
CMOs, VPs of Marketing, and revenue leaders at mid-to-large enterprises drowning in campaign prep work; organizations already running on Microsoft ecosystems who want to automate without disrupting team workflows.
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