Case Study — Featured Work
AI-Powered Partner Management Framework
An MCP-based AI framework that automates the operational overhead of managing strategic partner relationships — built solo, then scaled to a whole Solutions Architect team.
5–8hrs
saved per SA, per week
6+tools
unified behind one interface
30sec
meeting prep — down from 15+ minutes
$0
infrastructure cost — runs entirely in the IDE
The problem
Partner-facing Solutions Architects lose hours every week to operational overhead: prepping for meetings across email, Slack, and tickets, writing notes, tracking action items, compiling executive updates, and context-switching across 6+ tools.
What it is
An AI-powered framework built in Kiro IDE, connected via Model Context Protocol (MCP) integrations to email, Slack, ticketing, documentation, and platform-docs systems — with persistent partner context through steering files and automated workflows through agent hooks.
Capabilities
Meeting prep in ~30 seconds
Auto-pulls emails, Slack threads, tickets, and meeting history — what used to take 15+ minutes of tab-hopping.
Automated meeting notes
Paste raw notes → formatted files with action items extracted and TODO lists updated.
Partner health checks
Scored dashboards across five categories — Technical, Delivery, Communication, Action Items, Risk — with staleness detection and trend tracking.
Executive summaries
Polished HTML dashboards ready to send to leadership, generated on demand.
COE document builder
Correction-of-error documents with interactive 5 Whys analysis and self-review.
Partner handoffs
Handoff documents that adapt for temporary coverage vs. permanent transfer.
Ticket tracking
Paste a ticket URL → auto-tracked with status updates; bulk one-click refresh with stale-ticket flagging.
Proactive date alerts
Upcoming deadlines and overdue items surfaced across all partners.
Papercuts mechanism
SAs log operational friction to a shared doc from any conversation in under 60 seconds — giving managers visibility into systemic issues.
Self-learning loop
End-of-conversation hooks prompt saving new knowledge back to the knowledge base; in-conversation awareness catches gaps in real time.
Privacy controls
Per-partner choice of shared or local-only data with a single agent command.
Platform troubleshooting
The agent reads platform docs via MCP to diagnose partner app issues and draft technical responses with code examples.
Adoption & community
Built solo — then turned into a team platform.
- Delivered a 1-hour presentation + hands-on workshop at SA Summit to ~20 Solutions Architects, with two interactive exercises — a ticket-intake workflow and live technical bug troubleshooting.
- Contribution guide with an agent-assisted code-review workflow designed for non-developers — the agent walks contributors through CLI setup, git staging, and the review process.
- Kanban board with 20+ tracked tasks across backlog → released; structured release mechanism with a mainline/staging branching model.
- 12 weeks of Monday "power-user tips" covering context management, workflow patterns, and agent optimization.
- Wiki, README, workshop guide, and self-paced exercises for ongoing onboarding; weekly office hours.
- Teammates actively contributing hooks — an email digest, a gamified stats tracker — through a maintained review process.
Outcomes
Institutional knowledge compounds — every interaction feeds the partner knowledge base.
Staleness detection catches dropped items before they become problems.
In production use across multiple strategic partner relationships.