Your first AI agent, live in eight weeks
We pick the use case, build the agent, connect it to your data and tools, and test it with your team. Eight weeks later, you know if it works.
What we do
From one use case to a tested agent, in four steps.
- Analysis and business case We pick the use case with you, agree what success looks like and set the KPIs that will measure it.
- The right technology We choose the platform, and the data and tools the agent needs access to.
- Build and connect We build the agent and connect it where it has to work: your CRM, your service channels, your other systems.
- Test and validate We test the agent with your people and measure the KPIs. You see if the use case, the technology and the data hold up.
How the eight weeks run
Senior humans lead, busy AI agents do the heavy lifting.
- Kick-offWe agree on the goal, the team and the access we need.
- Weeks 1 and 2We list the use cases worth an agent, pick one and build the business case.
- Weeks 3 and 4First build: the agent takes shape and connects to its first data and tools.
- Weeks 5 and 6Second build: we improve it on your team's feedback and finish the connections.
- Weeks 7 and 8We test the agent with your team, measure the KPIs and decide with you if the use case holds up.
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Questions we get on calls
What kind of agent can we build?
Most of the agents we build work for sales, marketing, customer service or revenue teams. An AI SDR that researches accounts and prepares outreach. An agent that launches your marketing campaigns and follows up on them. A customer service agent that answers your clients. At Touring, AI classifies cases and helps service agents answer clients. We pick your use case in weeks 1 and 2.
Which technology do you use?
The one that fits the use case. We usually start with Anthropic's Claude models. Agentforce when the agent has to live inside Salesforce. Other platforms when your data, your tools or the use case call for them. We make the choice with you in step 2.
Is it a demo or a real agent?
A real one. It runs on your data, in your tools, and your people test it. But it is a proof of concept, not a full production agent. It is there to validate the use case, the technology and the data the agent relies on.
What do you need from us?
A business owner for the use case, a few hours a week from the people who will use the agent, and access to a sandbox and the systems it connects to.
What happens after the POC?
The agent is yours. Your team or ours can extend it to more teams and more use cases. Or we take it into production with our AI-led managed services, and keep measuring and improving it as it rolls out to the rest of the business.
Which job should your first agent take?
Tell us where your teams lose time. We will tell you if an agent can fix it, and where we would start.
