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Agentic AI consulting. From strategy to agents in production.

Use case selection, architecture, governance and a roadmap that moves AI agents from pilot to production, with the business case checked before anything is built.

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30 minutes with a solution architect.

In short

What is agentic AI, and what does agentic AI consulting cover?

Agentic AI refers to AI systems that pursue a goal over several steps, deciding which actions to take and which tools to use, rather than answering one prompt at a time. Agentic AI consulting helps a company decide where agents are worth it, which architecture and controls they need and how to take them from pilot to production. Solorai also tells you where a simpler automation will do the job.

Written and reviewed by Solorai

of agentic AI projects cancelled by the end of 2027, Gartner forecasts
Over 40%
patterns compared for every use case
3
for an AI readiness assessment
About 2 weeks

What does agentic AI consulting include?

Decisions you can act on, written down.

  • Use case portfolio

    Your candidate processes scored on value, feasibility and risk, with the right pattern for each: automation, assistant or agent.

  • Business case

    Expected effort, running costs and benefits for the first use cases, with the measures that will prove them.

  • Target architecture

    Models, integration through APIs and MCP, identity and permissions, logging, and a build or buy choice for each part.

  • Governance and risk

    Approval rules, human oversight, security against misuse and the EU AI Act classification of each agent.

  • Operating model

    Who owns each agent, who approves changes and how teams work with agents day to day.

  • Roadmap

    A sequenced plan from the first pilot to production and scale, with decision points.

Pilot to production

Why do agent projects stall, and what do we check?

Gartner names three reasons why it expects agentic AI projects to be cancelled. Each one gets a check before the build starts.

  • Unclear business value
    • A measure agreed before the build
    • A baseline from today’s process
    • A go or no-go decision after the pilot
  • Escalating costs
    • Running cost estimated per case
    • The smallest model that does the job
    • Automation where no agent is needed
  • Inadequate risk controls
    • Access limited to what the agent needs
    • A person approves what matters
    • Logs, tests and an EU AI Act classification

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. Gartner also warns of agent washing: assistants, robotic process automation and chatbots relabelled as agents without real agentic capabilities.

Where to start

How do we start with agentic AI?

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

  • 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

  • Start

    Executive briefing

    A half-day session for your leadership team on where AI agents fit and what they need.

    Duration
    Half a day
    Group
    Up to 15 executives

FAQ

Agentic AI, in short

What is agentic AI?

Agentic AI describes AI systems that work towards a goal over several steps, deciding which actions to take and which tools to use, within limits set by people. AI agents are the systems that do this work.

What does an agentic AI consultant do?

Helps you choose where agents are worth it, design the architecture and controls, and plan the path from pilot to production. Good advice also says when a process does not need an agent.

Why do agentic AI projects fail?

Gartner forecasts that over 40% of agentic AI projects will be cancelled by the end of 2027, citing escalating costs, unclear business value and inadequate risk controls. Each of these can be checked before the build starts.

What is agent washing?

Gartner’s term for products relabelled as agentic AI, such as assistants, robotic process automation or chatbots, without real agentic capabilities. We assess vendor claims against what your use case needs.

How do we choose the first use case?

Pick a process with clear value, good access to data and systems, a manageable level of risk and an owner who wants it. We score the candidates on these criteria and start with one.

How do agents fit with the EU AI Act?

Each agent is an AI system, classified by its purpose. We record it in your AI system register and plan the obligations, such as telling people they are talking to AI, or the high-risk duties if an agent is used for a purpose listed in Annex III.

Related reading

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

Agentic AI, from strategy to production. Start with a 30-minute briefing.

Tell us which processes you are considering. We will reply with a clear next step.

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