Not sure where to start?

Book a free AI Assessment. We'll audit your operations, identify the highest-ROI opportunities, and recommend the right path for you.

© 2025, One Second AI

2025

Not sure where to start?

Book a free AI Assessment. We'll audit your operations, identify the highest-ROI opportunities, and recommend the right path for you.

© 2025, One Second AI

2025

Not sure where to start?

Book a free AI Assessment. We'll audit your operations, identify the highest-ROI opportunities, and recommend the right path for you.

© 2025, One Second AI

2025

Book a demo

Book a session and discover which AI Agents fit best for your company

Get to know which agents bring the most value, what can be done with AI & how to get started with a light pilot project if needed

FAQ

Frequently asked questions

Co-founder @ One Second AI

Nuutti Räisänen
What does One Second AI actually do?

What does One Second AI actually do?

We help companies move from manual sales and marketing work to AI-first execution. That means designing the right strategy, then building and deploying autonomous AI agents that handle real workflows, like follow-ups, qualification, routing, reporting, and coordination, inside your existing systems. We don’t sell tools. We build systems that run.

Are you a software company or a consultancy?

Are you a software company or a consultancy?

Neither. and intentionally so. We work as an AI execution partner. That means we combine: - strategy - system design - hands-on implementation - continuous optimization You get working AI agents in production, not slides, prompts, or recommendations you have to implement yourself.

What kinds of companies do you work with?

What kinds of companies do you work with?

We typically work with: B2B companies Scaling teams (often €1M–€50M+ revenue) Sales & marketing teams struggling with manual work, slow pipelines, or tool sprawl Our clients usually know something needs to change, they just don’t want risky pilots or disconnected experiments.

Do we need to replace our current tools or systems?

Do we need to replace our current tools or systems?

No. Our AI agents are designed to work with your existing stack, CRM, marketing tools, communication channels, data sources, and internal processes. The goal is not replacement. The goal is orchestration and automation across what you already use.

How is this different from automation tools or AI copilots?

How is this different from automation tools or AI copilots?

Most tools: - automate individual tasks - require constant human input - don’t learn or adapt Our approach: - deploys autonomous agents, not scripts - connects multiple workflows together - operates continuously - improves based on outcomes Think less “automation” and more AI workforce.

Is this safe for our brand, data, and compliance requirements?

Is this safe for our brand, data, and compliance requirements?

Yes, governance is built in from day one. We design agents with: - brand rules - approval logic where needed - clear boundaries on actions -auditability and monitoring This isn’t experimental AI running loose. It’s controlled, production-grade deployment.

Can we start small before committing long term?

Can we start small before committing long term?

Yes, and many teams do. A common starting point is: - an AI assessment - a strategy workshop - or a focused initial deployment This allows you to validate fit and value before scaling.

What does One Second AI actually do?

What does One Second AI actually do?

We help companies move from manual sales and marketing work to AI-first execution. That means designing the right strategy, then building and deploying autonomous AI agents that handle real workflows, like follow-ups, qualification, routing, reporting, and coordination, inside your existing systems. We don’t sell tools. We build systems that run.

Are you a software company or a consultancy?

Are you a software company or a consultancy?

Neither. and intentionally so. We work as an AI execution partner. That means we combine: - strategy - system design - hands-on implementation - continuous optimization You get working AI agents in production, not slides, prompts, or recommendations you have to implement yourself.

What kinds of companies do you work with?

What kinds of companies do you work with?

We typically work with: B2B companies Scaling teams (often €1M–€50M+ revenue) Sales & marketing teams struggling with manual work, slow pipelines, or tool sprawl Our clients usually know something needs to change, they just don’t want risky pilots or disconnected experiments.

Do we need to replace our current tools or systems?

Do we need to replace our current tools or systems?

No. Our AI agents are designed to work with your existing stack, CRM, marketing tools, communication channels, data sources, and internal processes. The goal is not replacement. The goal is orchestration and automation across what you already use.

How is this different from automation tools or AI copilots?

How is this different from automation tools or AI copilots?

Most tools: - automate individual tasks - require constant human input - don’t learn or adapt Our approach: - deploys autonomous agents, not scripts - connects multiple workflows together - operates continuously - improves based on outcomes Think less “automation” and more AI workforce.

Is this safe for our brand, data, and compliance requirements?

Is this safe for our brand, data, and compliance requirements?

Yes, governance is built in from day one. We design agents with: - brand rules - approval logic where needed - clear boundaries on actions -auditability and monitoring This isn’t experimental AI running loose. It’s controlled, production-grade deployment.

Can we start small before committing long term?

Can we start small before committing long term?

Yes, and many teams do. A common starting point is: - an AI assessment - a strategy workshop - or a focused initial deployment This allows you to validate fit and value before scaling.

What does One Second AI actually do?

What does One Second AI actually do?

We help companies move from manual sales and marketing work to AI-first execution. That means designing the right strategy, then building and deploying autonomous AI agents that handle real workflows, like follow-ups, qualification, routing, reporting, and coordination, inside your existing systems. We don’t sell tools. We build systems that run.

Are you a software company or a consultancy?

Are you a software company or a consultancy?

Neither. and intentionally so. We work as an AI execution partner. That means we combine: - strategy - system design - hands-on implementation - continuous optimization You get working AI agents in production, not slides, prompts, or recommendations you have to implement yourself.

What kinds of companies do you work with?

What kinds of companies do you work with?

We typically work with: B2B companies Scaling teams (often €1M–€50M+ revenue) Sales & marketing teams struggling with manual work, slow pipelines, or tool sprawl Our clients usually know something needs to change, they just don’t want risky pilots or disconnected experiments.

Do we need to replace our current tools or systems?

Do we need to replace our current tools or systems?

No. Our AI agents are designed to work with your existing stack, CRM, marketing tools, communication channels, data sources, and internal processes. The goal is not replacement. The goal is orchestration and automation across what you already use.

How is this different from automation tools or AI copilots?

How is this different from automation tools or AI copilots?

Most tools: - automate individual tasks - require constant human input - don’t learn or adapt Our approach: - deploys autonomous agents, not scripts - connects multiple workflows together - operates continuously - improves based on outcomes Think less “automation” and more AI workforce.

Is this safe for our brand, data, and compliance requirements?

Is this safe for our brand, data, and compliance requirements?

Yes, governance is built in from day one. We design agents with: - brand rules - approval logic where needed - clear boundaries on actions -auditability and monitoring This isn’t experimental AI running loose. It’s controlled, production-grade deployment.

Can we start small before committing long term?

Can we start small before committing long term?

Yes, and many teams do. A common starting point is: - an AI assessment - a strategy workshop - or a focused initial deployment This allows you to validate fit and value before scaling.