The fleet
Get to know the agents
One stage of the CRO cycle each: what the agent does, what it is trained on, what it delivers, and what the expert decides.
Agentic commerceConversion Intelligence
AI agents for CRO
Orchestrate your AI agents in the CRO cycle
Welyft's Conversion Intelligence: a CRO expert orchestrates a fleet of AI agents, from audit to A/B test report, to multiply your testing capacity without compromising your methodological rigor.
Interactive demo · Conversion Intelligence
Brief the fleet, watch it deliver.
Write to an agent or open a mission: Mei, Amir, Iris, Victor et Nadia get to work before your eyes, the CRO expert arbitrates.
The need
What you tell us
« I want to industrialize AI across my entire CRO cycle (insights, productivity, experience) via agents connected to my stack, with a governance framework that guarantees rigor. »
- « I want a fleet of agents on my CRO cycle »
- « I want to connect AI to my tools (MCP) »
- « I want to industrialize without scaling my mistakes »
- « I want an AI governance framework »
Our response
- Mapping of agents by stage of the cycle
- MCP connection to the stack and guardrails
- Governance: permissions and measurement
Method
Our method in 5 steps
Our stance
Humans retain the decision
The agents execute within a defined governance framework, and your teams retain the decision-making power.
- Insights
- Productivity
- Experience
Step 01 : Scoping
Global audit of your analytics stack, your data, and your teams' maturity, followed by categorization of your use cases by family: insights, productivity, and experience.
- Audit of the stack, data and maturity
- Use cases by category: insights, productivity, experience
- Program rigor level
- Sponsors and teams on board
Step 02 : Mapping
Assignment of a specialized AI agent per task in the optimization cycle and prioritization of deployments by impact level.
- One agent per task in the cycle
- Impact-based prioritization
- Data and access required per agent
- Dependencies between agents
Step 03 : Deployment
Connecting agents to your stack via MCP and configuring action scopes and safeguards.
- MCP connection to your stack
- Guardrails and scope of action
- Pilot agents in production
- Measurement against a baseline
Step 04 : Governance
Implementation of an authorization matrix defining the role of AI and establishment of a strict framework of rigor and measurement under human arbitration.
- Permissions matrix
- Rigor and measurement framework
- Agent review rituals
- AI decision traceability
Step 05 : Industrialization
Pooling a library of reusable skills and empowering your teams to manage the overall fleet of agents autonomously.
- Skills library
- Team empowerment
- Extension to new use cases
- Consolidated impact report
Conversion Intelligence
La flotte en action
Four demos to open full screen: watch the agents work, pause, choose an agent.
Synthetic Users · powered by Mei
Four psychological profiles review your page
The Demanding One, the Novice, the Hurried One and the Skeptic browse a product page; Mei sorts their reactions into pain points.
Agents on a daily basis
Describe the need, Claude calls the agent
A request in plain language or a "/" command: the right agent takes over, you keep the decision.
Architecture and fleet
A CRO architect manages a fleet of agents
The same CRO process, with and without agents: each agent takes over, the waiting disappears and the learning loop speeds up.
Deployment
Agents trained like experts, updated like products.
Each agent is a versioned plugin on GitHub. Three ways to make the most of it.
During a mission
During the engagement
Our consultants call on the agents at every stage of the CRO cycle. You receive the deliverables, without installing anything.
Via the Welyft platform
Remote, at Welyft
The fleet runs on our platform, connected to your tools with your consent. An expert validates every deliverable.
Internalized within your organization
Within your organization
We build your agents using our method, customize them, then a GitHub plugin marketplace delivers their updates.
Deliverables
What you get
Agent portfolio
Mapped by cycle stage.
Agents deployed & connected
Via MCP to your tools.
Permissions matrix
Who decides, who executes, when to validate.
AI governance framework
Guardrails, measurement, review.
Who is it for?
Who is this offer for?
Tools used
- Claude
- MCP
- GA4
- Contentsquare
- AB Tasty
- Piano
- Mature CRO team (50+ tests per year, safeguards in place)
- Context: industrializing AI without losing rigor
- Sponsor: Head of CRO, Digital Director, Innovation
To go further
Articles by our experts related to this offer.
How can UX (and CRO) impact your SEO (GEO)?
UX directly influences your SEO and your visibility in generative AI: behavioral signals, readability, ...
From simple FAQ to closing: how conversational commerce turns visitors into engaged buyers?
Faced with the paradox of choice, e-commerce is using generative AI to advise customers and thereby boost conversions.
How to parallelize your A/B tests?
The secret to growth isn't the single A/B test but parallelization governed by impeccable governance.
Bayesian vs Frequentist: which method for your A/B tests?
Finally understand the difference between Bayesian and frequentist statistics to optimize your A/B tests.
To go further
Often associated with
Agentic commerce
E-commerce conversational agent
Deliver sales advice, at scale
- Dynamic Yield
- Algolia
- Claude
- and 3 other tools
Data & Analytics
Data & Dashboarding foundation
Drive decisions with reliable data
- GA4
- Piano
- Mixpanel
- and 3 other tools