for Operational Control
We design and deploy operational AI agents as components of real business workflows — handling routing, approvals, hand-offs, and execution inside Zoho One. These agents operate within defined rules, audit trails, and operational controls — not generic automation.
The same governed approach applies to digital channels, where AI-integrated websites operate as disciplined extensions of CRM and operational workflows.
AI delivery models for operational automation
Pricing reflects delivery, operational accountability, and ongoing optimisation — not experimental AI tooling or unmanaged automation.
Single AI operational workflow deployment
Designed to introduce AI into a single, clearly defined operational workflow with controlled deployment, measurable outcomes, and governance embedded from day one and not as a bolt on.
From £1,500 / month
Multi-agent operational automation development
Designed for organisations deploying multiple AI agents across departments, with orchestration, monitoring, and optimisation in place to ensure consistent execution as automation scales.
From £3,500 / month
Governed AI systems for complex environments
Designed for regulated or complex organisations requiring bespoke AI agents, advanced governance controls, documented oversight, and enterprise-grade operational stability and auditability.
Pricing tailored to requirements
These tiers indicate starting points. Capability, governance depth, and system coverage vary by operational complexity.
How AI Agents can serve your business
Operational automation
AI agents execute high-volume operational tasks directly inside Zoho One and connected systems, reducing manual workload while preserving auditability, consistency, and full operational control.
Decision intelligence
AI agents assess live operational context, urgency, rules, and historical outcomes to determine whether to act, pause, escalate, or route work — consistently and transparently.
System orchestration
AI agents coordinate actions across CRM, finance, support, HR, and data platforms within defined permissions, enabling cross-system execution without breaking security boundaries or governance.
Each AI agent is designed, governed, and deployed as part of a controlled operational system — not as a standalone tool or black-box automation.