A shadow management layer for your organization
CML operates as an AI-powered advisory parallel to your leadership. It reads company data, builds cross-domain understanding, and delivers intelligence — continuously, without being asked.
Connect your enterprise data
CML ingests data from your existing tools. No new workflows, no data migration, no behavior change required from your teams.
Project & Task Management
Fibery, ClickUp and similar — project status, task tracking, workload metrics, deadline health
Documents & Knowledge
Google Drive, uploaded documents — strategy documents, meeting notes, decision records, RFCs
Communication & Calls
Google Chat, call transcripts (Fireflies, Plaud) — team sentiment, escalation patterns, coordination signals
CRM & Sales
Sales calls and your CRM data — pipeline state, deal narratives, forecast accuracy, customer signals
Goals & Strategy
OKRs, strategy docs, board decks — declared objectives, key results, strategic commitments
Finance & Operations
Odoo and your finance systems — revenue data, cash flow, transaction patterns, operational metrics
Specialized agents analyze each domain
CML doesn't use a single monolithic AI. Instead, specialized agents focus on specific domains, building deep structured understanding through analytical pivots.
Strategy Agent
Reads strategy docs, OKRs, and board materials. Tracks declared priorities versus actual resource allocation. Detects strategic drift.
Execution Agent
Monitors project milestones, delivery progress, and operational health. Identifies bottlenecks, slippage patterns, and teams under pressure.
Sales Agent
Analyzes pipeline, deal narratives, and forecast data. Detects inconsistencies between reported confidence and actual deal signals.
Market Agent
Monitors market signals, competitor movements, and industry trends. Correlates external changes with internal strategy assumptions.
Accountability Agent
Tracks commitments made in meetings, emails, and documents. Monitors follow-through and flags unfulfilled promises with evidence.
Synthesis Agent
The meta-agent. Reads outputs from all domain agents and identifies cross-domain contradictions, emergent patterns, and compound risks.
Cross-domain synthesis through analytical pivots
Each agent doesn't just summarize — it builds structured understanding through analytical dimensions that reveal what raw data cannot.
Where do stated intentions diverge from observable actions? Strategy says "customer-first" but the budget prioritizes cost-cutting over service quality.
What patterns historically precede failures? Key person dependencies, scope creep trajectories, forecast revision patterns.
What is connected that people don't realize? A delayed warehouse expansion blocks three product lines, not one. CML maps the true dependency graph.
What was promised versus what was delivered? Track the integrity of organizational commitments from boardroom to front-line execution.
Intelligence delivered as narrative, not numbers
CML doesn't produce dashboards or charts. It delivers structured narrative intelligence — findings, briefings, and alerts that explain what happened, why it matters, and what to consider next.
Morning Briefings
A daily 3-minute read covering: what changed overnight, what needs attention today, preparation notes for scheduled meetings, and emerging signals worth watching.
Findings
When CML discovers something significant — a contradiction, a risk pattern, a missed commitment — it packages the finding with evidence, context, and suggested actions.
Meeting Prep Packets
Before any meeting on your calendar, receive a packet: relevant context from across the company, questions worth asking, and background on what changed since the last discussion.
Weekly Synthesis
End-of-week narrative covering: strategic alignment score, execution health by team, emerging risks, accountability status, and the three things that matter most next week.