Case Study
AI-Driven Communication Intelligence Platform: Built to streamline internal alignment and power high-quality decisions in high-growth teams
A fast-scaling startup reached out to Galific with a familiar problem: their product, engineering, and design teams were drowning in Slack threads, scattered Notion docs, and endless sync meetings. Critical decisions were getting lost, project context was fragmented, and team members couldn't remember why certain choices were made. Instead of building yet another collaboration tool, we proposed a data audit of their actual communication patterns to understand where the real friction points were.
The audit revealed surprising insights: 60% of their meeting time was spent re-explaining context that already existed in past conversations. Key decisions were buried in 200+ message threads. The intelligence they needed was already in their data, it just wasn't accessible. With this confirmed, we knew we could build Clariti, a communication intelligence layer that transforms chaotic conversations into structured, actionable insights.
We helped design the platform’s:
At Galific, we know the difference between “talking more” and “aligning better.” Clariti was built to make internal communication purposeful by making key decisions, blockers, and team updates transparent and actionable. We partnered from the ideation stage to engineer a platform that transforms chaotic conversations into structured insights automatically. The goal was to reduce decision latency, eliminate repeat syncs, and help fast moving teams stay in sync without the noise.
Product teams in growth-stage companies often struggle with decision loss, information sprawl, and coordination fatigue. Critical updates are buried in Slack, project context is scattered across docs, and team members lose hours to meetings that don't move work forward.
We interviewed heads of product, engineering managers, and ops leaders to understand real friction points. We analyzed 3 months of their Slack history, meeting notes, and project docs. The pattern was clear: their communication tools weren't failing because of lack of features but because of lack of context stitching. Their data contained all the intelligence needed, it just required smart extraction.
Clariti's core engine automatically extracts decisions, unresolved points, blockers, and next steps from day-to-day conversations across tools. Users view critical updates at a glance and act fast.
The platform generates daily and weekly summaries that capture what matters, no more digging through Slack or asking "what did we decide?"
Every significant choice is automatically documented with context, timestamp, and participants, creating an audit trail for future reference.
35% Boost in Project Momentum - Teams reported faster sprint planning and clearer project ownership due to improved sync between product, design, and engineering leads.
50% Reduction in Sync Meetings - Teams using Clariti reported fewer follow-up meetings. Decisions were documented automatically, eliminating the "wait, what did we decide?" problem.
3x Faster Onboarding - New team members could review decision history and project context in hours instead of weeks, dramatically reducing ramp-up time.
Better Long-Term Visibility - With an AI-curated decision register, teams retained better visibility into why choices were made, helpful for audits and strategic planning.
40% Less Time Searching for Information - Context-aware summaries and smart search reduced time spent hunting for past decisions or project updates across multiple tools.
Improved Cross-Functional Alignment - Engineering, product, and design teams reported 60% fewer misalignments and miscommunications during execution.
Measurable Reduction in Decision Fatigue - Team leads spent 4-5 hours less per week on status updates and re-explaining context, allowing more time for strategic work.
Clariti is not just another productivity tool, it's a communication intelligence layer built for how high-performing teams actually work. Galific's audit-first approach ensured we solved the real problem: not lack of communication, but lack of intelligent context. The result is a platform that helps teams communicate smarter, make better decisions, and scale with confidence.