A second pair of eyes on your company
CML works as an AI advisor alongside your leadership. It reads company data, connects what happens across departments, and brings you insight continuously, without you having to ask.
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): decisions, commitments, 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
An AI team, each member with its own role
CML is not one chatbot. It is a team of AI colleagues, each dedicated to a different role, and one advisor you talk to, who draws on all of them.
Analyst
Reads your company data every day and writes findings: strategy versus execution, risks, commitments kept and broken.
Market Scout
Follows competitors, customers, regulators and the market, and connects what changes outside to your own strategy.
Fact-Checker
Re-checks what CML claims against the sources. Stale or contradicted findings get corrected or retired, not left standing.
Editor
Turns what the team knows into your briefing, weekly status board and daily email: short, cited, and in your language.
Data Engineer
Keeps the connections to your tools running, so every source keeps arriving and nothing is read twice or missed.
Coach
Watches how the rest of the team works and improves it: which questions it misses, where it repeats itself.
Cross-domain synthesis through analytical pivots
The team 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, 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. Every claim links to the exact source paragraph, one click away.
Weekly Status Board
One page: how the company is doing and what needs you. Measured facts are kept apart from judgement, and nothing shows green while the evidence says otherwise.
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.