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Case 03 · Enterprise SaaS · AI · MarTech

iMIC

AI-Powered Campaign Management

We consolidated five disconnected marketing tools into one AI-assisted campaign platform — validating every automation against real operator workflows before it shipped.

Client
iMIC
Location
Enterprise MarTech
Engagement
Product design & systems

Impact

5 → 1

Channel tools consolidated into one platform

2

Rounds of user validation before AI features shipped

14→1.5 min

Median campaign review time cut from 14 min to 90 sec

37→4

Legacy screens consolidated into 4 agent views

01 / The Challenge

Marketing teams manually stitching together five tools.

Operators were losing hours every week to manual campaign setup, with performance data scattered across separate channel tools and analysis work that should have been automated.

There was no single surface to plan, launch, and optimise a multi-channel campaign — and therefore no single source of truth for campaign performance.

Campaigns calendar with KPI layer and iAssist

02 / Our Approach

Proving the AI layer earns its place before designing around it.

Our team opened with in-depth interviews with marketing managers and campaign coordinators, usability testing against their existing stack, and a competitive audit to locate the real gaps.

That research produced personas and journey maps that sequenced the build: information architecture first, then a clickable prototype, then a second validation round before any AI-generated feature shipped.

Automation was scoped strictly to workflow failures operators had named — not capabilities that merely demo well.

Client 360 lifecycle timeline
Milestone-triggered lifecycle campaigns
Live analytics — churn probability & distribution
Node-based visual campaign builder
iAssist analytics dashboard

03 / Systems Outcome

One AI-assisted platform replacing five disconnected tools.

iMIC now delivers drag-and-drop multi-channel campaign orchestration with A/B branching, real-time performance dashboards, churn-probability analytics, and the contextual iAssist layer.

Because every automated flow was validated with operators pre-ship, the AI layer resolves workflows users specifically flagged as broken.

Capabilities deployed

  • User Research
  • Personas & Journey Mapping
  • AI-Powered UX
  • MarTech SaaS
  • Usability Testing
  • Prototyping

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