WeLead: Agentic Reactivation Infrastructure
A multi-tenant platform where autonomous AI agents re-engage cold lead databases, hold real conversations over SMS, and book calls with human closers — across clients, without writing a line of code per engagement.
5,000+
Messages per hour capacity
15-25%
Average reactivation rate
< 2min
Inbound to agent response
24/7
Always-on conversations
Reactivation that's personalised, compliant, and scalable doesn't exist off the shelf
Lead reactivation sounds simple — message old contacts, see who bites. In reality, the constraints are brutal. Every client has different data shapes, different offers, different compliance requirements. Outreach needs to feel personal, not templated. Conversations need to handle objections, opt-outs, and booking flows. Follow-ups need intelligent timing. And it all needs to run across multiple clients simultaneously without data ever crossing boundaries. No existing tool solves this. You either hire people who don't scale, or you build the infrastructure.
Purpose-built agentic infrastructure
We designed and built WeLead from scratch as a dedicated reactivation engine. Each client gets an isolated environment with its own AI agent, conversation rules, data schema, and messaging config — all managed through a single operations dashboard. Agents hold autonomous, natural conversations over SMS, book calls, handle opt-outs, and nudge unresponsive leads on intelligent schedules. Onboarding a new client is a configuration task, not an engineering project.
What we delivered
Multi-Tenant Client Isolation
Each client operates in a fully isolated scope — their own agent persona, lead schema, messaging provider, tracking links, and scheduling rules. Data isolation is enforced at the database level, not just the application layer. Onboarding a new client means configuring them in the dashboard and importing their leads. No code, no deploys, no waiting.
Autonomous Conversational Agents
Each client's AI agent runs against its own persona, offer, and conversation rules. It handles inbound replies, books calls with closers, manages opt-outs, and intelligently follows up with leads who go quiet — all without operator intervention. Messages are timed with realistic delays and split naturally across texts so they read like a human wrote them.
Personalised Outreach at Volume
Leads arrive in whatever shape the client provides — different fields, different data quality, different context. The platform normalises it all, lets operators group and segment, then generates personalised opening messages using AI. Sequences are scheduled with configurable timing, provider-level rate limits, and full delivery tracking.
Real-Time Operations Dashboard
A live inbox where operators see every conversation across every client as it happens. Monitor agent performance, intervene when needed, track link clicks and delivery statuses, and manage the full pipeline from cold import to booked call. Analytics surface what's working so the team can optimise across the entire portfolio.
GDPR-Compliant by Architecture
Compliance isn't bolted on — it's built into the data model. Soft deletes, hard delete RPCs, full data export capability, automated opt-out handling at the agent level, and a complete audit trail across every action. Every message, status change, and operator intervention is logged and traceable.
AI-assisted operations layer
The agents that talk to leads are only half the story.
Safe AI Access for the Operations Team
The platform is architected so the WeLead operations team can use AI coding tools — Claude Code and custom agents — to safely query live data, analyse campaign performance, debug conversation flows, and run operational tasks. Sandboxed environments with scoped permissions mean AI tools operate within strict guardrails, never touching production data they shouldn't.
Campaign Analysis at the Speed of Thought
Instead of building a dashboard for every possible question, operators ask their AI tools directly — response rates by segment, agent conversion patterns, message timing performance, opt-out trends. The system's schema and access controls are designed to make this safe and fast, turning the database into a queryable knowledge base.
Continuous System Evolution
With AI tools able to safely read and reason about the live system, the WeLead team iterates faster than any traditional development cycle allows. Agent prompts are refined based on real conversation data. Outreach sequences are optimised from actual performance metrics. The platform improves with every campaign it runs.
Built to grow without breaking
Zero-Code Client Onboarding
New clients are live in minutes. Configure an agent, map their data fields, connect a number, import leads. No engineering required.
Provider-Agnostic Messaging
SMS delivery is abstracted behind a provider interface. Swap providers, add new ones, or run different providers per client — without touching the core system.
Queue-Driven Reliability
Every outbound message and agent invocation flows through dedicated message queues. Failed sends retry automatically. Nothing gets lost, nothing gets stuck.
Dynamic Everything
Lead fields, agent personas, conversation rules, tracking links, scheduling windows — all configurable per client from the dashboard. The platform adapts to the client, not the other way around.
Need AI to work for you?
We build autonomous platforms that generate revenue while you focus on closing.