Crypto.com · Executive Strategy Brief

Connectors → Knowledge → Skills → Agents

From accessing systems, to extracting what makes us unique, to orchestrating workflows, to autonomous action.
Prepared April 2026  ·  Classification Confidential  ·  Audience Executive Leadership · Crypto.com

The Approach

Pragmatic, phased, low-risk. Each phase delivers standalone value and de-risks the next.

PHASE 01
Connectors
Connect to enterprise tools. Read data, don't change systems. Low risk, high foundation value.
● 8 Live  ● 16 Building
PHASE 02
Knowledge
Auto-extract what makes Crypto.com unique: compliance patterns, trading playbooks, incident history.
● Building
PHASE 03
Skills
Turn knowledge into repeatable workflows. Each skill encodes Crypto.com-specific context.
● Next
PHASE 04
Agents
Autonomous decisions built on proven skills and validated knowledge. Highest value, comes last.
● Planned

This is not a big-bang bet. Each phase delivers standalone value and de-risks the next. We're already in Phase 1 with 8 live connectors.

Why This Is Crypto.com-Specific

Skills are powered by knowledge extracted from Crypto.com's own systems — not generic best practices.

Generic AI
Crypto.com Knowledge-Powered
The difference: knowledge extraction pulls patterns from Crypto.com's own data — 847 real campaigns, 3 years of incident history, jurisdiction-specific compliance decisions — and encodes them into skills. A competitor using the same AI gets generic output. We get Crypto.com-informed output.

Example: How /crypto-campaign-plan gets built

Growth team → Braze connector → knowledge extraction → encoded skill → Crypto.com-specific output

01 · SOURCE
Braze Connector
847 campaigns
12M total sends
3 years of data
Segment & channel breakdowns
Token launch history
02 · EXTRACT
Knowledge Identified
Top audience segments
Optimal send windows
Token launch templates
Market-cycle correlations
Channel ROI benchmarks
03 · ENCODE
Skills File Created
/crypto-campaign-plan
Audience playbooks
Compliance guardrails
Performance baselines
Channel constraints
04 · OUTPUT
Crypto.com-Specific
Knows our best segments
Knows token launch channels
Knows compliance by market
Knows what's worked before
Not generic. Ours.

Enterprise Catalog

Each function reads left to right: connect the tools, extract what makes us unique, orchestrate with skills, automate with an agent.

Function
Connectors
Enterprise Knowledge
Skills
Agent
Engineering
Ship reliable mobile & web apps, maintain uptime, release safely
Github
Jira
Slack
Databricks
Datadog
App release runbooks
SRE incident playbooks
QA regression patterns
Deploy & rollback history
Service SLA thresholds
/code-review
PR review against org architecture standards
/incident-response
Triage alerts, runbook lookup, escalation
/release-checklist
Mobile & web pre-deploy gate check
/regression-analysis
QA failure patterns & flaky test triage
Ship Guardian
PR opened or Datadog alert fires
Reviews code, triages incidents, gates releases, escalates SRE issues with full context.
Product
Discover what to build, validate it ships, measure what matters
Jira
Confluence
Amplitude
Figma
Sprint velocity
Feature specs
Adoption metrics
Design context
/write-prd
PRD from usage data & specs
/feature-analysis
Adoption funnels & retention
/sprint-review
Velocity & shipped metrics
/launch-checklist
Cross-functional readiness
Product Ops
Sprint starts or launch T-7
Drafts PRDs, tracks velocity, validates launch readiness.
Design
Shape experiences, ground decisions in patterns and data
Amplitude
Figma
Mobbin
G Analytics
Drop-off data
Component library
Competitor patterns
UX benchmarks
/design-critique
Heuristic review with competitor patterns
/competitive-teardown
Visual competitor analysis
/design-spec
Engineering handoff from Figma
/ux-audit
Drop-off data meets heuristic review
Design QA
Figma updated or review requested
Reviews designs, generates specs, benchmarks against competitors.
Institutional & BD
Win institutional clients, grow exchange partnerships, evaluate listings
Slack
Confluence
Salesforce
LinkedIn
AppAnnie
Institutional custody requirements
OTC desk playbooks
Exchange listing criteria
Win/loss patterns
Partnership term sheets
/institutional-brief
Pre-meeting custody & trading intel
/custody-proposal
Tailored custody solution from requirements
/listing-evaluation
Token listing risk & compliance scoring
/otc-deal-review
OTC terms against historical desk data
Institutional Desk
New institutional inquiry or listing request
Preps institutional meetings, evaluates token listings, structures custody proposals.
Marketing
Token launches & crypto campaigns
Braze
Meta Ads
Google Ads
Segment
Token launch playbooks
Crypto market cycle patterns
Exchange volume benchmarks
DeFi campaign performance
/crypto-campaign-plan
Token launch & market-cycle-aware campaign
/token-launch-playbook
End-to-end listing promotion checklist
Marketing
Analytics & attribution
Amplitude
G Analytics
AppsFlyer
AppAnnie
Impact
X Search
Exchange volume funnels
Trading pair attribution
Install-to-trade conversion
Market rankings vs. Binance/Coinbase
Partner ROI
Crypto sentiment trends
/exchange-volume-report
Cross-pair volume & market share trends
/market-cycle-brief
Bull/bear positioning with historical overlays
Growth Engine
Token listing confirmed or market cycle shift
Plans token launch campaigns, reports exchange volume, adapts strategy to market cycles.
Customer Support
Resolve fast, spot trends early, build loyalty
Jira
Amplitude
Confluence
Slack
Databricks
Intercom
Ticket taxonomy
Usage patterns
KB articles
Escalation rules
SLA thresholds
Chat transcripts
/ticket-analysis
Theme trends & affected segments
/kb-article
Auto-draft from resolved tickets
/escalation-workflow
Smart routing with full context
/support-dashboard
CSAT, response times, impact
Support Ops
Volume spike or CSAT drop
Triages tickets, escalates, writes KB articles, reports metrics.
Ops & Finance
Run efficiently, spend wisely, plan ahead
Databricks
Confluence
Jira
ZIP
Budget actuals
Process SOPs
OKR tracking
Vendor contracts
/budget-review
Actuals vs. forecast with variance
/vendor-eval
Spend data & scored comparison
/okr-draft
Strategy-aligned OKRs with Jira links
/process-map
Workflow docs & bottlenecks
Biz Ops
Month-end or procurement request
Reviews budgets, scores vendors, tracks OKRs.
People & Talent
Hire great people, develop them, keep them
Databricks
Confluence
Slack
Jira
Hibob
Attrition signals
Onboarding plans
Engagement data
Review rubrics
Comp benchmarks
/people-report
Headcount, attrition, pipeline
/onboarding-plan
30-60-90 day plan from templates
/performance-review
Delivery history & peer feedback
/culture-doc
Engagement & sentiment snapshot
People Partner
New hire, review cycle, or attrition flag
Onboards hires, preps reviews, flags attrition risk.
Compliance / Risk
Navigate crypto regulation, manage AML/KYC, enable safe token listings
Confluence
Jira
Databricks
GSuite
Segment
KYC/AML rule matrices
Travel rule by jurisdiction
MiCA compliance checklists
Token listing risk frameworks
Sanctions screening patterns
/aml-screening-check
Transaction pattern analysis against rules
/travel-rule-validation
Jurisdiction-specific transfer compliance
/token-listing-review
Regulatory risk scoring for new tokens
/jurisdiction-compliance-map
Market-by-market regulatory status
Regulatory Shield
New jurisdiction rule or token listing request
Screens transactions, validates travel rule compliance, scores token listing risk, maps regulatory changes.
8
Connectors Live
16
Connectors Building
36
Skills Next
9
Agents Planned