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AI agents for business. From the first use case to production.

We find the processes worth automating, then design, build and connect AI agents to your systems, with monitoring and human control. It starts with one agent on one workflow.

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30 minutes with a solution architect.

In short

What are AI agents, and how does Solorai help businesses use them?

An AI agent is software in which a language model, such as Claude, plans the steps of a task and uses tools to carry them out: it reads a request, checks your systems, prepares the work and asks a person when a decision needs one. Solorai finds the processes worth an agent, builds it, connects it to your systems and runs it in production with monitoring, logs and human approval.

Written and reviewed by Solorai

per pilot, taken into production
1 workflow
for an AI agent pilot
6 to 8 weeks
services, from consulting to voice agents
4

Services

Four ways we work with AI agents.

From deciding where agents are worth it to running them on the phone.

What does an AI agent project include?

Six parts, from choosing the use case to running the agent in production.

  • Use case selection

    The processes worth an agent, ranked by value, effort and risk, and the ones better served by simple automation.

  • Agent design

    Goal, steps, tools, permissions and the points where a person approves, agreed before any code is written.

  • Build and integration

    The agent built on Claude and connected to your systems through their APIs and MCP servers.

  • Testing

    Test cases from your real work, including attempts to mislead the agent, run before every release.

  • Human control

    Approval steps, escalation to a person and a way to stop the agent at any time.

  • Monitoring in production

    Every step logged, quality and cost tracked, and the agent classified under the EU AI Act.

Which pattern?

Automation, assistant or agent?

Not every process needs an agent. We choose the simplest pattern that does the job, because it is cheaper to run and easier to control.

  • Workflow automation
    • Fixed steps and clear rules
    • Documents in, structured data out
    • For example, invoice intake and matching
  • AI assistant
    • A person asks, the assistant answers
    • Search and drafting on your knowledge
    • For example, policy questions from staff
  • AI agent
    • Decides the next step itself
    • Uses tools and asks for approval
    • For example, supplier onboarding end to end

In June 2025 Gartner forecast that over 40% of agentic AI projects will be cancelled by the end of 2027, because of escalating costs, unclear business value or inadequate risk controls. Choosing the pattern before the technology addresses all three.

Where to start

How do we start with AI agents?

Fixed formats with a clear scope. Prices are agreed in a written proposal.

  • AI agents

    AI agent pilot

    One agent on one workflow, taken into production.

    Duration
    6 to 8 weeks
    Team
    With a technical partner

  • Start

    AI readiness assessment

    An analysis of your use cases and the data available for them, ending with a plan and its costs.

    Duration
    About 2 weeks

FAQ

AI agents, in short

What is an AI agent?

An AI agent is software in which a language model plans the steps of a task and uses tools, such as your CRM or ERP, to carry them out. It works within the permissions it is given and asks a person when a decision needs one.

What is the difference between an AI agent and a chatbot?

A chatbot answers questions in a conversation. An AI agent works towards a goal: it looks things up in your systems, prepares documents, updates records and hands over to a person, step by step.

What is the difference between AI agents and workflow automation?

Workflow automation follows steps fixed in advance. An agent decides the next step based on the case in front of it. When the steps are known and the rules are clear, automation is usually cheaper and easier to audit, so we use it.

Which processes are good candidates for AI agents?

Processes with many variations that need judgement but follow clear policies: request handling, supplier and customer onboarding, document checks, case preparation and research. Each needs access to the right data and a person accountable for the outcome.

Are AI agents safe to use with company data?

They can be, when they are designed for it: access limited to what each agent needs, approval before actions that matter, every step logged, tests against attempts to mislead them, and data handled under your data protection rules.

Do AI agents fall under the EU AI Act?

Yes, like any AI system, classified by purpose. Most business agents are minimal or limited risk, and agents that talk to people must say they are AI since 2 August 2026. An agent used for a high-risk purpose in Annex III, such as recruitment or credit scoring, carries high-risk obligations from 2 December 2027.

How long does it take to build an AI agent?

An AI agent pilot takes 6 to 8 weeks: one agent on one workflow, taken into production with a technical partner.

Related reading

Sources: Model Context Protocol, Regulation (EU) 2024/1689

Your first AI agent in production. Start with a 30-minute briefing.

Tell us which process you want to automate. We will reply with a clear next step.

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