CLAWBOT is a multi-agent AI system built for businesses that have outgrown single-bot automation. A full workforce of specialised agents — orchestrated, monitored, and always aligned with your goals.
Built by Websfarm Ltd. Designed for Revenue Ops, Customer Success, Supply Chain, and beyond.
Single-agent automation solves isolated tasks — but real operations are interconnected, multi-step, and constantly changing.
Each bot works alone. Data gaps and rework appear the moment processes cross systems. The solution is building multi-agent systems that scale.
Judgement calls and escalations still land on your team, eating the savings automation promised.
Adding more bots multiplies maintenance. Without coordination you get chaos, not leverage.
The issue isn't tooling — it's architecture. Clawbot delivers architecture.
Clawbot deploys a structured hierarchy of specialised AI agents that work like a world-class ops team — 24/7, no ego, no downtime.
Receives goals, creates plans, and routes work to the right agents.
Domain-focused agents for research, comms, finance, operations, and more.
Consolidates outputs, resolves conflicts, and prepares decision packages.
Monitors performance, enforces guardrails, and escalates only when required.
Safety layers: policy filters and observer reviews keep automations compliant. Read about automating without breaking compliance.
Observability: every action is logged so you can audit, retrain, or roll back.
Ownership: deployed on your infrastructure — not a black-box SaaS.
Four proven Clawbot deployments that keep teams ahead without hiring sprees.
Pipeline monitoring, lead handoffs, quote creation, and renewal plays.
Ticket triage, playbook selection, sentiment alerts, and churn interventions.
Inventory checks, vendor comms, shipping exceptions, and reordering.
Scope tracking, risk flags, document drafting, and cross-team updates.
A layered system that keeps agents autonomous, observable, and adaptable.
Clawbot follows the proven 4-step program we use for all AI automation deployments.
1–2 sessions
Map processes, data sources, and guardrails.
1–2 weeks
Design the agent topology, run a closed-loop prototype.
2–4 weeks
Live integrations, credential hardening, training.
Ongoing
Telemetry-led improvements and playbook expansion.
Timelines vary by complexity. Fixed-price quotes land after Discovery.
Three reasons multi-agent systems should be designed by the team that operates them daily.
We engineer orchestrators, coordinators, and observers as a cohesive stack — not glued-together bots.
Clawbot patterns come from live deployments in finance, logistics, media, and SaaS. Follow our change management playbook for AI rollouts.
You get documentation, repos, and infrastructure control. No rent-seeking platform dependency.
Architecture, governance, and deployment patterns for multi-agent AI workforce systems.
The foundational overview of CLAWBOT's architecture and capabilities.
Architecture patterns for deploying agent teams that grow with your business.
Why coordinated agent systems outperform RPA and single-bot deployments.
Build vs buy vs partner — when to choose a managed multi-agent system.
The strategic blueprint for deploying an AI workforce alongside your human team.
How to deploy multi-agent systems without disrupting your team.
Four tiers that cover everything from architecture audits to fully managed AI workforces.
What leaders ask before they greenlight a coordinated AI workforce.
Book a 30-minute Discovery Call. We'll review one of your critical processes and outline a multi-agent plan.
Fill in the form below and we'll get back to you within one business day.
