See exactly where your AI investment goes — and make it compound.

Our platform learns from what your people build so we can eliminate duplication, improve every workflow, and report precisely where your investment is producing results.

See how it works
The Signal

Every skill is a revelation.

When someone on your team builds an AI workflow, they're revealing what they actually do — the tasks they repeat often enough to encode, the friction they feel, the processes they know well enough to formalize. Without filling out a survey. Without sitting through an interview.

They build a tool to solve their own problem — and the platform learns from what that tool reveals about how your business actually operates.

01 Board Report Generator FP&A Analyst · Finance ▾
quarterly-board-report-generator
Pulls actuals from the GL export, normalizes against the budget template, generates variance commentary for each cost center, and formats the final board package in the approved layout.
Excel Board Template Variance Analysis Multi-step Pipeline
What the platform sees

This role spends meaningful time on board report formatting — not analysis. The formatting step is what was painful enough to automate. That's a behavioral signal no job description would reveal. The platform flags it, maps it to the reporting pipeline, and checks whether other roles in Finance have the same bottleneck.

02 Regulatory Change Tracker Compliance Officer · Legal ▾
reg-change-impact-assessment
Monitors regulatory update feeds, cross-references against current compliance checklists, drafts impact assessments for new or amended rules, and flags items requiring attorney review.
Regulatory Feeds Compliance Checklists Impact Assessment Review Routing
What the platform sees

Compliance is spending time on intake triage — sorting which regulatory changes matter — not on the actual legal analysis. That's a bottleneck the role's job description wouldn't predict. And because the skill routes flagged items to attorneys, the platform maps the handoff between Compliance and Legal, revealing workflow boundaries most orgs don't document.

03 Project Cost Variance Report Project Controller · Operations ▾
afe-variance-weekly-summary
Pulls approved AFE budgets and actual spend from the ERP, calculates variance by cost category, generates a weekly summary with commentary on any line item exceeding 10% threshold, and emails the summary to project managers.
ERP Integration AFE Budgets Variance Thresholds Auto-distribution
What the platform sees

A project controller built a skill that runs weekly — not monthly. That frequency signal tells the platform this is an ongoing operational pain point, not a periodic deliverable. It also reveals the 10% threshold as a business rule that likely applies across similar roles. When another firm builds a similar skill with a 15% threshold, that difference itself becomes useful intelligence about how different organizations manage cost risk.

04 Client Meeting Prep Package Relationship Manager · Client Services ▾
client-meeting-brief-builder
Assembles a one-page meeting prep brief by pulling recent account activity, open action items, upcoming milestones, and relevant industry news. Formats to the standard meeting prep template.
CRM Industry News Account History Template Formatting
What the platform sees

The relationship manager's biggest pain point isn't the meeting itself — it's the preparation. The skill pulls from four different sources (CRM, task list, project tracker, news), meaning that data is scattered across systems. That's a workflow integration problem the organization probably doesn't realize it has — but the skill made it visible.

How we analyze it →
The Analysis

Six dimensions from every skill.

The platform doesn't just collect skills. It reads each one through a structured analytical lens — extracting metadata across six dimensions that transform raw workflows into actionable intelligence about how your organization operates.

Raw Skill

  • Script that pulls GL data
  • Normalizes against budget
  • Generates variance text
  • Formats board package
  • Built by someone in Finance
→

Extracted Intelligence

  • Task: Board report generation
  • Function: FP&A / Finance
  • Bottleneck: Formatting (production step)
  • Tools: Excel, GL system, templates
  • Maturity: Locked — stable, high-frequency
  • Pain point: Manual formatting > analysis

Now multiply that by every skill, every role, every department. Enriched with organizational context from your identity provider — who built it, what their title is, who they report to. The platform builds a map of how your organization actually operates.

What we see — and what we don't →
The Boundary

What we see. What we never see.

The platform learns from what your team builds, not what they do with what they build. That distinction is precise, deliberate, and non-negotiable.

What we capture

✓
Skill definitions — the structure and purpose of workflows your team creates
✓
Organizational context — role titles, departments, from your identity provider
✓
Adoption telemetry — which skills are used, how often, how stable
✓
Behavioral patterns — what people automate reveals where effort goes

What we never capture

✗
Inputs or outputs — what your team feeds to or receives from AI
✗
Client data, portfolio details, financial records, PII, or PHI
✗
Documents or data your team processes through AI workflows
✗
Raw skills redistributed — nothing proprietary ever crosses organizational boundaries
How it compounds →
The Compound Curve

Every month is more valuable than the last.

This is not a tool that stays static. The intelligence compounds — and so does the value of the engagement.

Month 1
Discovery. We learn your business — the roles, the workflows, the recurring deliverables. First skills are built around your highest-impact tasks. The platform begins capturing signal from day one.
Month 2–3
Your first adoption report arrives. Which teams are building. What tasks are being automated. Where there are gaps and duplicated effort. You see exactly where your AI investment is producing results — and where it isn't.
Month 4–6
Skills stabilize. The platform identifies which workflows have locked in and which need refinement. The improvement engine generates specific, actionable recommendations — not vague feedback, but concrete fixes.
Month 6–12
New roles and departments come online. Each one produces new signal. The intelligence deepens. Your AI reflects how your organization actually operates — with increasing precision every month.
Year 2+
The platform knows your business deeply enough to surface opportunities you haven't thought of. Proactive recommendations. Self-improving skills. New workflows suggested before your team asks. The system learns as your organization does.