AI Agent Workflows

    AI agent workflows with logs, guardrails, and human approval

    Scoped AI agents for repetitive decisions and knowledge work, built around measurable quality rather than open-ended autonomy.

    or email max@vasthavm.com

    Target customer

    Teams with a narrow, repetitive decision or research task where rules alone are not enough and quality can be evaluated.

    Pricing indication

    45,000-95,000 SEK ex VAT

    Exact pricing depends on integrations, data quality, risk, scope, and ownership requirements.

    Pain points

    • AI demos lack trust
    • No logs or evals for agent decisions
    • Risky actions need approval
    • Support, sales, or ops teams spend time on routine judgment

    What Max can build

    • Support triage agent
    • Lead qualification agent
    • Internal knowledge/RAG assistant
    • Proposal drafting assistant
    • Inbox classification agent

    Deliverables

    • Agent behavior spec
    • Tool and permission design
    • Eval set and test results
    • Human approval paths
    • Monitoring and runbook

    Process

    • Define task and limits
    • Build narrow pilot
    • Evaluate against real examples
    • Add approval and escalation
    • Launch or stop with clear evidence

    FAQ

    When should we use an AI agent?+
    Use an agent when the task requires judgment, context, or natural-language handling and you can define examples of good and bad outcomes.
    What guardrails are included?+
    Typical guardrails include scoped tool access, structured output, evals, logs, confidence thresholds, and human approval for risky actions.
    How is GDPR and security handled?+
    The audit identifies personal data, processors, access patterns, retention, and model-provider choices before build. Sensitive flows get least-privilege access and human approval where needed.
    When should we not use an AI agent?+
    Do not use an agent when deterministic rules are enough, the data is too poor to evaluate, the action is high risk without approval, or nobody can own the process after launch.
    What happens after the audit?+
    You can build internally, ask Max to run a sprint or pilot, or move into a retainer for monitoring, improvements, and support.

    Related practices

    Automation Audit
    CRM Automation
    Claude for Small Business

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