Skip to content

AI agents for business. A personal assistant for every employee.

We build agents around each person's work, documents and tools. Your company manages them centrally: who has access, what each agent can do and which actions need approval.

Illustrative workflow

The employee asks

Prepare my meeting with this customer.

Their agent prepares

An account summary, open questions and a draft follow-up using authorised sources.

The company decides

  • CRM and documents: authorised access
  • Customer email: approval required
  • Activity and usage: central oversight

Personal agents. Central management.

Our service combines custom AI agent development with a management system your company can operate. We agree on the controls and integrations for your project before implementation.

People and teams
Assign agents to employees or departments, tailor instructions to their roles and manage onboarding, changes and offboarding.
Data and tools
Define which documents and applications each agent can access, with separate permissions for different roles and teams.
Actions and approvals
Set what agents can execute, what needs human review and when to stop a task or revoke access.
Activity and costs
Review tasks, outcomes, issues and usage to refine the service and decide where to expand deployment.

OpenClaw and Hermes Agent for your team

We choose the technology around each employee's tasks, channels and context. Explore what Navel's implementation service includes for each agent.

An independent service by Navel. OpenClaw and Hermes Agent are projects by their respective creators.

What an AI agent can do for your team

We start with specific tasks, available information and an outcome your team can verify. These are examples of workflows we can build.

Sales

Prepare meetings using CRM history, summarise conversations and draft proposals or follow-ups for review.

Administration

Extract document information, organise requests and prepare records for validation before adding them to your systems.

Operations

Look up procedures, collect task updates and prepare reports with references to the sources used.

Internal support

Help employees find documentation and understand processes, handing off questions that need a person.

From a first use case to everyday work

  1. 01

    Define the pilot

    Choose a team and a task. Review tools, data, permissions and how to measure the outcome.

  2. 02

    Build and integrate

    Configure the agents and management system. Connect the data sources and actions included in the scope.

  3. 03

    Test with your team

    Validate answers, access and approvals using real scenarios. Train employees and managers before rollout.

  4. 04

    Measure and expand

    Review time spent, quality, errors and cost per task. Extend to other teams when the pilot supports it.

How much does AI agent implementation cost?

Pricing depends on users, use cases, integrations and management controls. We separate development and implementation from recurring model, infrastructure and support costs. After reviewing your needs, we propose a pilot with a defined scope, deliverables and acceptance criteria.

Frequently asked questions about AI agents for business

What is a personal AI agent for employees?

It is an assistant configured around a person's work: their tasks, instructions and authorised sources. It can find information, prepare content and take actions in connected tools within company-defined permissions.

How is this different from a chatbot or an individual AI account?

The service includes work context, integrations and company management. Beyond conversation, an agent can carry out authorised tasks. The central system lets your company manage assignments, access and activity.

Can each employee have their own agent?

Yes. We can tailor an agent to each employee and share instructions or resources within departments. Personalisation does not grant access to all company information: permissions are defined separately.

Can we manage agents without a technical team?

We design the management system for the people who will use it and provide training. We agree on what they can manage through the dashboard and which changes, such as new integrations, will require technical support.

Can agents connect to our email, CRM and documents?

We review the APIs, licences and permissions of your existing tools. The proposal defines feasible connections and their limits; each integration is tested before activation.

How is access to company data controlled?

We define accessible sources for each agent and user, actions that need approval and the activity to record. We also agree on hosting, providers and data retention according to project requirements.

How long does implementation take, and what happens after delivery?

Timing depends on scope and access to your systems. We confirm it when defining the pilot. The proposal includes training and specifies the support, maintenance and improvements to be provided after launch.

More about AI at work

Let's talk

Start with one task your team needs help with

We design the agent and how you will manage it.

Tell us how many people would use it, the task you want to improve and the tools you work with. We will review your needs and propose an initial scope.

Let’s talk
Tell us what you have in mind.