Agent Portfolio

Meet the Agents

Each agent is purpose-built, production-tested, and engineered to reason — not just respond. Here's what I've built.

14

Active agents

Production

Deployment status

Custom

Built to order

08

AI Governance Design

Airy

ACTIVE

Transforms raw AI ideas into polished, decision-ready use case cards.

Airy designs clean, structured AI Use Case Cards by transforming raw ideas into polished, visually consistent templates. She standardizes how teams capture AI opportunities, making it easy to evaluate, compare, and prioritize use cases across the organization.

Atlassian JiraJira REST APIJQLConfluenceStructured Templates

60–85%

Docs time saved

+50%

Proposal clarity

+30–45%

Intake cycle speed

Use Cases

  • Converting rough AI ideas into fully formatted use-case cards with problem, solution, impact, and feasibility sections
  • Standardizing intake forms for AI initiatives across teams or departments
  • Auto-generating multiple card variations for workshops, roadmapping, or leadership reviews
01

Automation & Workflow

Johnny 5

ACTIVE

Eliminates operational drag before it slows your team down.

Johnny 5 automates repetitive Jira workflows, eliminates manual data entry, and keeps projects moving by triggering actions the moment conditions are met. He's built to reduce operational drag and ensure teams never lose momentum.

Jira AutomationJira REST APIJQLWebhooks

60–80%

Manual updates cut

40%

Bottleneck reduction

25%+

SLA compliance lift

Use Cases

  • Auto-assigning issues based on workload, sprint stage, or component ownership
  • Bulk-updating tickets when requirements change mid-sprint
  • Triggering notifications, transitions, or sub-task creation when key fields update
02

Knowledge & Documentation

Kim

ACTIVE

Turns scattered Jira activity into structured, searchable knowledge.

Kim organizes, summarizes, and maintains project knowledge inside Jira, ensuring teams always have clean, accurate, and up-to-date documentation. She transforms scattered information into structured, searchable insights.

Atlassian JiraConfluenceJira REST APIJQL

50–70%

Docs time saved

+30%

Knowledge accuracy

20%

Onboarding time cut

Use Cases

  • Auto-generating release notes from Jira issue activity
  • Summarizing sprint outcomes or retro notes into shareable briefs
  • Creating documentation drafts from issue descriptions and comments
03

Support & Ticket Intelligence

Sally

ACTIVE

Keeps support queues clean, routed, and moving fast.

Sally analyzes incoming Jira Service Management tickets, categorizes them, and routes them to the right teams with the right priority. She improves response speed and ensures support queues stay organized and noise-free.

Jira Service ManagementJira REST APIJQLAutomation Rules

−70%

Mis-routed tickets

30–50% faster

First-response time

25%

Queue clutter cut

Use Cases

  • Auto-triaging tickets based on keywords, urgency, or customer impact
  • Suggesting priority levels or SLAs based on ticket content
  • Flagging duplicates or related issues to reduce queue clutter
04

Governance & Compliance

Grace

ACTIVE

Enforces standards without slowing down delivery.

Grace enforces Jira governance standards by monitoring fields, workflows, and issue hygiene. She ensures teams follow naming conventions, required fields, and compliance rules without slowing down delivery.

Atlassian JiraJira REST APIJQLWorkflow ValidatorsAutomation Rules

80–95%

Data quality

−60%

Compliance violations

40%

Audit prep time cut

Use Cases

  • Validating required fields before issue transitions are allowed
  • Enforcing naming conventions for epics, components, or releases
  • Flagging issues that violate workflow or compliance rules
05

Systems & Infrastructure

Scotty

ACTIVE

Keeps your Atlassian environment stable and operational.

Scotty monitors Jira system health, integrations, and performance signals, ensuring everything stays stable and operational. He identifies issues early and keeps your Atlassian environment running smoothly before problems escalate.

Atlassian JiraJira REST APISystem LogsIntegration Monitoring

2–5× faster

Issue detection speed

−50%

Integration downtime

20–30%

Jira reliability lift

Use Cases

  • Monitoring integration failures or webhook errors in real time
  • Alerting when Jira performance degrades or API limits approach
  • Tracking automation rule failures or unusual activity patterns
06

Reporting & Analytics

Nina

ACTIVE

Surfaces the patterns buried in your backlog before they cost you.

Nina transforms Jira data into clear, actionable insights by generating automated reports, dashboards, and trend analyses. She helps teams make smarter decisions by surfacing patterns that would otherwise stay buried in the backlog.

Atlassian JiraJira REST APIJQLJira Dashboards & Filters

−70–90%

Manual reporting time

+50%

Project health visibility

−30–40%

Missed risks & delays

Use Cases

  • Auto-building sprint, velocity, or throughput reports on a schedule
  • Highlighting aging issues, SLA risks, or workflow bottlenecks
  • Generating executive summaries from Jira project activity
07

Project Planning & Forecasting

Maya

ACTIVE

Brings predictability to planning by learning from every sprint.

Maya supports project managers by forecasting timelines, analyzing workload distribution, and ensuring teams stay aligned with delivery goals. She brings predictability to planning by using Jira data to anticipate what's coming next.

Atlassian JiraJira REST APIJQLAgile MetricsVelocity & Cycle Time

+25–45%

Planning accuracy

−30–50%

Sprint over-commitment

+20–35%

On-time delivery rate

Use Cases

  • Predicting sprint capacity and workload imbalances before planning starts
  • Forecasting delivery timelines based on historical velocity
  • Suggesting optimal issue prioritization or sprint composition
09

Dependency Prediction

Scout

ACTIVE

Spots cross-team dependencies before they become sprint blockers.

Scout analyzes roadmaps and upcoming quarterly work to predict cross-team dependencies before development begins. She gives teams early visibility into risks that typically surface too late, improving planning accuracy and reducing surprise blockers.

Microsoft AI FoundryMicrosoft CopilotAtlassian Jira Cloud (MCP)Jira REST APIJQL

−30–50%

Unplanned blockers

+25–40%

Planning accuracy

−60–75%

Late-identified deps

Use Cases

  • Scanning epics and roadmaps to identify likely cross-team dependencies
  • Flagging work that requires coordination with architecture, shared services, or external teams
  • Highlighting dependency hotspots across a domain before quarterly planning
10

Dependency Management

Debby

ACTIVE

Keeps dependencies moving so nothing slips through the cracks.

Debby creates, updates, and manages Jira dependencies throughout the quarter, ensuring teams stay aligned and nothing slips through the cracks. She automates reminders, status checks, and coordination so dependencies move forward without manual chasing.

Microsoft AI FoundryMicrosoft CopilotAtlassian Jira Cloud (MCP)Jira REST APIJQLMicrosoft Teams

−35–55%

Dependency cycle time

−50–70%

Manual coordination

+30–45%

Resolution rate

Use Cases

  • Auto-creating and linking dependency issues in Jira
  • Sending Teams-based reminders when start/due dates approach
  • Updating dependency status based on team responses or Jira activity
11

Process & Workflow Improvement

Eli

ACTIVE

Eliminates systemic friction by redesigning how teams work together.

Eli analyzes recurring dependencies, workflows, and architecture patterns to recommend long-term process improvements. He helps teams eliminate systemic friction by identifying redesign opportunities that reduce future cross-team reliance.

Microsoft AI FoundryMicrosoft CopilotAtlassian Jira Cloud (MCP)Jira REST APIJQLProcess-flow analysis

−20–40%

Recurring dep volume

+25–35%

Cross-team efficiency

−30%+

Operational friction

Use Cases

  • Reviewing Jira workflows and process flows to identify inefficiencies
  • Recommending changes that reduce recurring dependencies
  • Suggesting knowledge-transfer or workflow improvements to streamline delivery
12

Architecture & Dependency Reduction

Archie

ACTIVE

Finds the structural root causes of cross-team blockers.

Archie evaluates technical architecture patterns to identify structural causes of cross-team dependencies. He provides forward-looking architectural recommendations that help teams build more independently and reduce systemic blockers.

Microsoft AI FoundryMicrosoft CopilotAtlassian Jira Cloud (MCP)Jira REST APIJQLArchitecture pattern analysis

−25–45%

Architecture-driven deps

+20–30%

System modularity

+15–25%

Complex initiative speed

Use Cases

  • Analyzing architecture flows to identify dependency-creating bottlenecks
  • Recommending architectural improvements for review boards
  • Highlighting friction points across domains that slow delivery
13

Business Case Development

Casey

ACTIVE

Turns a single guided session into a complete, decision-ready business case.

Casey conducts structured interviews with business partners to automatically generate complete, standardized business cases. She eliminates weeks of back-and-forth by capturing strategic alignment, ROI, and funding paths in a single guided session.

Microsoft Copilot StudioMicrosoft AI FoundryMiro / FigmaAtlassian Jira

−60–80%

Business case creation

20–40 hrs

Meeting hours saved

+50%+

Intake consistency

Use Cases

  • Interviewing business partners to gather all business case details
  • Auto-generating complete business case documents
  • Guiding users through project vs. product funding decisions
14

Product Requirements & MVP Design

Rocky

ACTIVE

Converts prototypes into aligned, actionable MVP feature sets.

Rocky converts prototypes and business cases into clear, actionable MVP feature sets. He ensures teams start development with aligned expectations, reducing rework and accelerating time-to-market.

Microsoft Copilot Studio (GPT-5)Microsoft AI FoundryMiro / FigmaAtlassian Jira Cloud (MCP)Jira REST API

−50–70%

Requirements definition

−30–50%

Development rework

Accelerated

Time-to-market

Use Cases

  • Translating Miro prototypes and business cases into MVP feature lists
  • Auto-creating Jira feature tickets for development teams
  • Prioritizing must-have vs. later-phase features based on customer needs

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