What does AI agent development look like for enterprises?

Short answer

Enterprise AI agent development adds what large organisations need on top of the agent itself: integration with core systems, single sign-on and role-based access, audit logs, deployment in your own cloud, clear governance and phased delivery — so the system is secure, compliant and supportable at scale.

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What enterprises need

NeedWhat it means
SecurityEncryption in transit and at rest, SSO or MFA, role-based access
TraceabilityAudit logs of every agent action and decision
ControlRuns in your own cloud account (for example Microsoft Azure)
IntegrationCRM, ERP, case systems, data warehouses
GovernanceApproved knowledge, approvals for high-impact actions, review process
DeliveryPhases with their own scope, testing and user acceptance

Delivered in phases

Large systems are delivered in phases — for example phase 1 a core assistant, phase 2 further modules — each with discovery, architecture, build, testing, launch and hypercare. See our process.

Typical investment

A platform with several agents, enterprise integrations, data pipelines and multiple user roles is typically $20,000–$45,000 one-time at Agentic AI Tech Hub, usually 6–9 months, with an $800/month maintenance plan — a rough guide; a fixed quote follows discovery.

Frequently asked questions

Can the agent run in our own Azure tenant?

Yes. Cloud, AI and messaging services can run on accounts in your organisation’s name.

How is accessibility handled?

Interfaces can be designed to WCAG 2.2 AA, mobile-first and in plain language.

Planning an AI agent?

Tell us what you want to build. NOVA can estimate it right away, or start a project with our team.